sverige-3 — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-19T23:38:20Z,
for the dataset file:///shared/sverige-3_66804f76.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
Samtrafiken i Sverige AB
Feed Email:
N/A
Feed Language:
Swedish

Files included


  1. agency.txt
  2. areas.txt
  3. attributions.txt
  4. booking_rules.txt
  5. calendar.txt
  6. calendar_dates.txt
  7. feed_info.txt
  8. routes.txt
  9. shapes.txt
  10. stop_areas.txt
  11. stop_times.txt
  12. stops.txt
  13. transfers.txt
  14. trips.txt

Counts


  • Agencies: 249
  • Blocks: 0
  • Routes: 7659
  • Shapes: 77066
  • Stops: 181900
  • Trips: 465956

Specification Compliance report

79660 notices reported (6192 errors, 71477 warnings, 1991 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 2670

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

Only the first 50 of 2670 affected records are displayed below.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"175500000283184911" "9022050041146013" 8416970 0.0 2 8416969 0.0 1
"175500000283184911" "9022050041262002" 8416971 0.0 3 8416970 0.0 2
"175500000283184911" "9022050041188002" 8416972 0.0 4 8416971 0.0 3
"175500000283184911" "9022050041068001" 8416973 0.0 5 8416972 0.0 4
"600607000149000001" "9022050012112002" 9780137 0.0 2 9780136 0.0 1
"175500000282681807" "9022050041289002" 8375448 14463.81 30 8375447 14463.81 29
"600620000523000001" "9022050072624001" 9781374 0.0 2 9781373 0.0 1
"600620000523000001" "9022050025314007" 9781375 0.0 3 9781374 0.0 2
"600620000523000001" "9022050001586025" 9781376 0.0 4 9781375 0.0 3
"250000000000002536" "9022050073481001" 9592129 2069.1 4 9592128 2069.1 3
"250000000000002536" "9022050056964001" 9592130 2069.1 5 9592129 2069.1 4
"250000000000002537" "9022050073481001" 9592150 2069.1 4 9592149 2069.1 3
"250000000000002537" "9022050056964001" 9592151 2069.1 5 9592150 2069.1 4
"250000000000002510" "9022050058326001" 9587785 37523.75 19 9587784 37523.75 18
"250000000000002512" "9022050058326001" 9588296 37523.75 19 9588295 37523.75 18
"250000000000002505" "9022050058326001" 9587999 37523.75 19 9587998 37523.75 18
"250000000000002506" "9022050058326001" 9587839 37523.75 19 9587838 37523.75 18
"250000000000002507" "9022050058326001" 9588160 37523.75 19 9588159 37523.75 18
"250000000000002508" "9022050058326001" 9588053 37523.75 19 9588052 37523.75 18
"250000000000002509" "9022050058326001" 9588214 37523.75 19 9588213 37523.75 18
"250000000000002210" "9022050058326001" 9587583 37446.88 18 9587582 37446.88 17
"250000000000002212" "9022050058326001" 9587664 37446.88 18 9587663 37446.88 17
"250000000000002204" "9022050058326001" 9587892 37446.88 18 9587891 37446.88 17
"250000000000002205" "9022050058326001" 9587514 37446.88 18 9587513 37446.88 17
"250000000000002206" "9022050058326001" 9588106 37446.88 18 9588105 37446.88 17
"250000000000002207" "9022050058326001" 9587945 37446.88 18 9587944 37446.88 17
"250000000000002208" "9022050058326001" 9587717 37446.88 18 9587716 37446.88 17
"175500000282855502" "9022050041142002" 8207004 15007.27 26 8207003 15007.27 25
"175500000282684196" "9022050041289002" 8380568 14463.81 30 8380567 14463.81 29
"600607000144000001" "9022050072223002" 9780139 0.0 2 9780138 0.0 1
"600607000144000001" "9022050012112002" 9780140 0.0 3 9780139 0.0 2
"175500000282855215" "9022050041142002" 8203206 15007.27 26 8203205 15007.27 25
"175500000282855256" "9022050041142002" 8203240 15007.27 26 8203239 15007.27 25
"175500000282855297" "9022050041142002" 8203274 15007.27 26 8203273 15007.27 25
"175500000282855420" "9022050041142002" 8206970 15007.27 26 8206969 15007.27 25
"175500000282855461" "9022050041142002" 8203308 15007.27 26 8203307 15007.27 25
"175500000282855338" "9022050041142002" 8206936 15007.27 26 8206935 15007.27 25
"175500000282855379" "9022050041142002" 8202728 15007.27 26 8202727 15007.27 25
"175500000282683333" "9022050041289002" 8374735 14463.81 30 8374734 14463.81 29
"175500000282683535" "9022050041289002" 8374829 14463.81 30 8374828 14463.81 29
"175500000282683577" "9022050041289002" 8374859 14463.81 30 8374858 14463.81 29
"175500000282683619" "9022050041289002" 8374889 14463.81 30 8374888 14463.81 29
"175500000282683661" "9022050041289002" 8374919 14463.81 30 8374918 14463.81 29
"175500000282683703" "9022050041289002" 8376186 14463.81 30 8376185 14463.81 29
"175500000282683745" "9022050041289002" 8380474 14463.81 30 8380473 14463.81 29
"175500000282683787" "9022050041289002" 8377138 14463.81 30 8377137 14463.81 29
"88100000157255288" "9022050022012003" 4139583 0.0 2 4139582 0.0 1
"88100000157255231" "9022050022012003" 4139581 0.0 2 4139580 0.0 1
"88100000157255269" "9022050022012003" 4139577 0.0 2 4139576 0.0 1
"88100000157255250" "9022050022012003" 4139575 0.0 2 4139574 0.0 1
equal_shape_distance_diff_coordinates ERROR 2527

equal_shape_distance_diff_coordinates

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than the 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and different coordinates indicate an error.

You can see more about this notice here.

Only the first 50 of 2527 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"1076110000040865168" 11266616 374.41 13 11266615 374.41 12 31.77809282359636
"1076110000040865168" 11266617 374.41 14 11266616 374.41 13 39.41244463341262
"1250000000000001130" 48326325 0.0 2 48326324 0.0 1 485.06825223634905
"1250000000000001131" 48328158 0.0 2 48328157 0.0 1 485.06825223634905
"1250000000000001126" 48327547 0.0 2 48327546 0.0 1 485.06825223634905
"1250000000000001127" 48331306 0.0 2 48331305 0.0 1 485.06825223634905
"1250000000000001128" 48325714 0.0 2 48325713 0.0 1 485.06825223634905
"1250000000000001129" 48333139 0.0 2 48333138 0.0 1 485.06825223634905
"1250000000000001122" 48330695 0.0 2 48330694 0.0 1 485.06825223634905
"1250000000000001123" 48331917 0.0 2 48331916 0.0 1 485.06825223634905
"1250000000000001124" 48332528 0.0 2 48332527 0.0 1 485.06825223634905
"1250000000000001125" 48326936 0.0 2 48326935 0.0 1 485.06825223634905
"1250000000000001120" 48330084 0.0 2 48330083 0.0 1 485.06825223634905
"1250000000000001121" 48325103 0.0 2 48325102 0.0 1 485.06825223634905
"1250000000000001159" 47936934 14327.26 824 47936933 14327.26 823 788.8044600665155
"1250000000000001155" 47962249 14327.26 824 47962248 14327.26 823 788.8044600665155
"1250000000000001156" 47969897 14327.26 824 47969896 14327.26 823 788.8044600665155
"1250000000000001157" 47935879 14327.26 824 47935878 14327.26 823 788.8044600665155
"1250000000000001158" 47970952 14327.26 824 47970951 14327.26 823 788.8044600665155
"1250000000000001151" 47961194 14327.26 824 47961193 14327.26 823 788.8044600665155
"1250000000000001152" 47942209 14327.26 824 47942208 14327.26 823 788.8044600665155
"1250000000000001153" 47943264 14327.26 824 47943263 14327.26 823 788.8044600665155
"1250000000000001154" 47968842 14327.26 824 47968841 14327.26 823 788.8044600665155
"1250000000000001150" 47967787 14327.26 824 47967786 14327.26 823 788.8044600665155
"1250000000000001148" 47960139 14327.26 824 47960138 14327.26 823 788.8044600665155
"1250000000000001149" 47941154 14327.26 824 47941153 14327.26 823 788.8044600665155
"1250000000000001145" 47934824 6297.03 432 47934823 6297.03 431 788.8044600665155
"1250000000000001146" 47966732 14327.26 824 47966731 14327.26 823 788.8044600665155
"1250000000000001147" 47940099 14327.26 824 47940098 14327.26 823 788.8044600665155
"1250000000000001119" 48329473 0.0 2 48329472 0.0 1 485.06825223634905
"1250000000000001115" 48319466 12800.12 692 48319465 12800.12 691 896.2055260292568
"1250000000000001116" 48315951 12800.12 692 48315950 12800.12 691 896.2055260292568
"1250000000000001117" 48316654 12800.12 692 48316653 12800.12 691 896.2055260292568
"1250000000000001111" 48322278 12800.12 692 48322277 12800.12 691 896.2055260292568
"1250000000000001112" 48318763 12800.12 692 48318762 12800.12 691 896.2055260292568
"1250000000000001113" 48322981 12800.12 692 48322980 12800.12 691 896.2055260292568
"1250000000000001114" 48315248 12800.12 692 48315247 12800.12 691 896.2055260292568
"1250000000000001110" 48318060 12800.12 692 48318059 12800.12 691 896.2055260292568
"1250000000000001108" 48321575 12800.12 692 48321574 12800.12 691 896.2055260292568
"1250000000000001109" 48314545 12800.12 692 48314544 12800.12 691 896.2055260292568
"1250000000000001104" 48320169 12800.12 692 48320168 12800.12 691 896.2055260292568
"1250000000000001105" 48320872 12800.12 692 48320871 12800.12 691 896.2055260292568
"1250000000000001106" 48325090 12800.12 692 48325089 12800.12 691 896.2055260292568
"1250000000000001107" 48317357 12800.12 692 48317356 12800.12 691 896.2055260292568
"1250000000000001100" 48313139 12800.12 692 48313138 12800.12 691 896.2055260292568
"1250000000000001101" 48323684 12800.12 692 48323683 12800.12 691 896.2055260292568
"1250000000000001102" 48324387 12800.12 692 48324386 12800.12 691 896.2055260292568
"1250000000000001103" 48313842 12800.12 692 48313841 12800.12 691 896.2055260292568
"1250000000000001162" 47963304 14327.26 824 47963303 14327.26 823 788.8044600665155
"1250000000000001163" 47939044 14327.26 824 47939043 14327.26 823 788.8044600665155
missing_prior_notice_duration_min ERROR 966

missing_prior_notice_duration_min

prior_notice_duration_min value is required for same day booking_type in booking_rules.txt.

You can see more about this notice here.

Only the first 50 of 966 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. bookingRuleId (?) The `booking_rules.booking_rule_id` of the faulty record.
83 "33010000222543927"
84 "33010000222543979"
85 "33010000222544072"
86 "33010000222544109"
87 "33010000222544158"
88 "33010000222544852"
89 "33010000222544872"
90 "33010000222544911"
91 "33010000231883131"
92 "33010000231883183"
93 "33010000231883235"
94 "33010000231883287"
95 "33010000231883339"
96 "33010000232025952"
97 "33010000232025986"
98 "33010000232026020"
99 "33010000232026054"
100 "33010000232026089"
101 "33010000232026124"
102 "33010000232131847"
103 "33010000232132098"
104 "33010000232139960"
105 "33010000232140012"
106 "33010000232140064"
107 "33010000232140116"
108 "33010000232140168"
109 "33010000233947600"
110 "33010000233947648"
111 "33010000233947687"
112 "33010000235625314"
113 "33010000235625520"
114 "33010000235625559"
115 "33010000235747480"
116 "33010000235747611"
117 "33010100231883183"
118 "33010100231883235"
119 "33010100231883287"
120 "33010100231883339"
121 "33010100232140012"
122 "33010100232140064"
123 "33010100232140116"
124 "33010100232140168"
125 "33010200231883183"
126 "33010200232140012"
437 "66100000082861290"
438 "66100000082861312"
439 "66100000082861334"
440 "66100000082861356"
441 "66100000082861386"
442 "66100000082861408"
point_near_origin ERROR 26

point_near_origin

A point is too close to origin (0, 0).

You can see more about this notice here.

filename (?) The name of the affected GTFS file. csvRowNumber (?) The row of the faulty row. entityId (?) The id of the faulty entity. latFieldName (?) The name of the field that uses latitude value. latFieldValue (?) The latitude of the faulty row. lonFieldName (?) The name of the field that uses longitude value. lonFieldValue (?) The longitude of the faulty row
"shapes.txt" 47905115 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905130 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905145 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905160 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905175 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905186 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905201 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905213 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905225 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905240 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905255 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905270 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905275 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905290 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905302 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905317 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905332 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905347 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905362 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905377 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905392 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905403 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905418 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905431 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"shapes.txt" 47905446 N/A "shape_pt_lat" 0.0 "shape_pt_lon" 0.0
"stops.txt" 62470 "9022050000308003" "stop_lat" 0.0 "stop_lon" 0.0
stop_time_with_arrival_before_previous_departure_time ERROR 3

stop_time_with_arrival_before_previous_departure_time

Backwards time travel between stops in stop_times.txt

For a given trip_id, the arrival_time of (n+1)-th stoptime in sequence must not precede the departure_time of n-th stoptime in sequence in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. prevCsvRowNumber (?) The row of the previous stop time. tripId (?) The trip_id associated to the faulty record. arrivalTime (?) Arrival time at the faulty record. departureTime (?) Departure time at the previous stop time.
9743809 9743808 "610600000058000001" "26:20:00" "26:37:00"
9744484 9744483 "610850000093000001" "26:20:00" "26:45:00"
9744366 9744365 "610850000096000001" "02:00:00" "02:35:00"
duplicate_route_name WARNING 354

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

Only the first 50 of 354 affected records are displayed below.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
536 "9011001092600000" 542 "9011001096600000" "26C" "Ersätter Saltsjöbanan" -1 "505000000000000001"
569 "9011003000800000" 632 "9011003060800000" "8" "" -1 "505000000000000003"
675 "9011004000100000" 698 "9011004014100000" "1" "" -1 "505000000000000004"
676 "9011004000200000" 699 "9011004014200000" "2" "" -1 "505000000000000004"
677 "9011004000300000" 700 "9011004014300000" "3" "" -1 "505000000000000004"
677 "9011004000300000" 701 "9011004016300000" "3" "" -1 "505000000000000004"
675 "9011004000100000" 703 "9011004016500000" "1" "" -1 "505000000000000004"
676 "9011004000200000" 704 "9011004016600000" "2" "" -1 "505000000000000004"
678 "9011004000400000" 705 "9011004016700000" "4" "" -1 "505000000000000004"
675 "9011004000100000" 706 "9011004018100000" "1" "" -1 "505000000000000004"
676 "9011004000200000" 707 "9011004018200000" "2" "" -1 "505000000000000004"
677 "9011004000300000" 708 "9011004018300000" "3" "" -1 "505000000000000004"
914 "9011005000200000" 938 "9011005020200000" "2" "" -1 "505000000000000005"
915 "9011005000300000" 939 "9011005020300000" "3" "" -1 "505000000000000005"
930 "9011005011000000" 943 "9011005021000000" "10" "" -1 "505000000000000005"
931 "9011005011100000" 944 "9011005021100000" "11" "" -1 "505000000000000005"
932 "9011005011200000" 945 "9011005021200000" "12" "" -1 "505000000000000005"
933 "9011005011300000" 946 "9011005021300000" "13" "" -1 "505000000000000005"
934 "9011005012100000" 953 "9011005022100000" "21" "" -1 "505000000000000005"
1110 "9011007000100000" 1125 "9011007003200000" "1" "" -1 "505000000000000007"
1111 "9011007000200000" 1126 "9011007003300000" "2" "" -1 "505000000000000007"
1112 "9011007000300000" 1127 "9011007003400000" "3" "" -1 "505000000000000007"
1110 "9011007000100000" 1129 "9011007004100000" "1" "" -1 "505000000000000007"
1250 "9011008040100000" 1377 "9011008099100000" "401" "" -1 "505000000000000008"
1253 "9011008040400000" 1378 "9011008099400000" "404" "" -1 "505000000000000008"
1254 "9011008040500000" 1379 "9011008099500000" "405" "" -1 "505000000000000008"
1255 "9011008041100000" 1380 "9011008099600000" "411" "" -1 "505000000000000008"
1399 "9011010000100000" 1408 "9011010002100000" "1" "" -1 "505000000000000010"
1400 "9011010000200000" 1409 "9011010002200000" "2" "" -1 "505000000000000010"
1402 "9011010000400000" 1410 "9011010002600000" "4" "" -1 "505000000000000010"
1401 "9011010000300000" 1411 "9011010003000000" "3" "" -1 "505000000000000010"
1399 "9011010000100000" 1412 "9011010003100000" "1" "" -1 "505000000000000010"
1400 "9011010000200000" 1413 "9011010003200000" "2" "" -1 "505000000000000010"
1403 "9011010000500000" 1414 "9011010003500000" "5" "" -1 "505000000000000010"
1402 "9011010000400000" 1415 "9011010004000000" "4" "" -1 "505000000000000010"
1403 "9011010000500000" 1416 "9011010005000000" "5" "" -1 "505000000000000010"
1417 "9011010009800000" 1418 "9011010009900000" "Taxi" "" -1 "505000000000000010"
1399 "9011010000100000" 1430 "9011010041300000" "1" "" -1 "505000000000000010"
1401 "9011010000300000" 1431 "9011010041400000" "3" "" -1 "505000000000000010"
1400 "9011010000200000" 1432 "9011010043200000" "2" "" -1 "505000000000000010"
1445 "9011010091400000" 1459 "9011010191400000" "914" "" -1 "505000000000000010"
1399 "9011010000100000" 1462 "9011010202100000" "1" "" -1 "505000000000000010"
1400 "9011010000200000" 1463 "9011010202200000" "2" "" -1 "505000000000000010"
1422 "9011010015000000" 1464 "9011010215000000" "150" "" -1 "505000000000000010"
1426 "9011010025000000" 1465 "9011010225000000" "250" "" -1 "505000000000000010"
1427 "9011010032000000" 1468 "9011010232000000" "320" "" -1 "505000000000000010"
1399 "9011010000100000" 1469 "9011010303100000" "1" "" -1 "505000000000000010"
1400 "9011010000200000" 1470 "9011010303200000" "2" "" -1 "505000000000000010"
1403 "9011010000500000" 1471 "9011010303500000" "5" "" -1 "505000000000000010"
1427 "9011010032000000" 1472 "9011010332000000" "320" "" -1 "505000000000000010"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 47

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"1121120000390492611" 47570090 162523.43 9386 47570089 162523.43 9385 1.0007559103104025
"1217990000040091467" 27124069 102244.51 6035 27124068 102244.51 6034 0.05331223786146951
"1205330000074742657" 25468845 5539.06 345 25468844 5539.06 344 0.6638400574155283
"1181180000039013511" 25314659 1415.09 28 25314658 1415.09 27 0.8913673085313611
"1205330000068514307" 25469051 3485.54 172 25469050 3485.54 171 0.6638400574155283
"1121120000395941069" 14296325 0.0 3 14296324 0.0 2 1.0007559103104025
"1121120000395941037" 14295658 0.0 3 14295657 0.0 2 1.0007559103104025
"1121120000388331506" 47548625 0.0 3 47548624 0.0 2 1.0007559103104025
"1076110000036038216" 11278982 0.0 2 11278981 0.0 1 0.3762926680005547
"1076110000036038154" 11278169 0.0 2 11278168 0.0 1 0.3762926680005547
"1076110000033433751" 11268607 5844.06 432 11268606 5844.06 431 0.4489114572518325
"1205330000088417842" 25468466 13278.69 673 25468465 13278.69 672 0.6638400574155283
"1076110000040846635" 11255413 5013.3 286 11255412 5013.3 285 0.4489114572518325
"1090000000000000370" 13580801 356.0 8 13580800 356.0 7 0.8406450460540033
"1090000000000000369" 13594243 356.0 8 13594242 356.0 7 0.8406450460540033
"1090000000000000346" 13579055 356.0 8 13579054 356.0 7 0.8406450460540033
"1090000000000000345" 13577309 356.0 8 13577308 356.0 7 0.8406450460540033
"1090000000000000344" 13567730 356.0 8 13567729 356.0 7 0.8406450460540033
"1090000000000000343" 13551151 356.0 8 13551150 356.0 7 0.8406450460540033
"1090000000000000342" 13549405 356.0 8 13549404 356.0 7 0.8406450460540033
"1090000000000000341" 13547659 356.0 8 13547658 356.0 7 0.8406450460540033
"1090000000000000340" 13537199 356.0 8 13537198 356.0 7 0.8406450460540033
"1090000000000000339" 13532842 356.0 8 13532841 356.0 7 0.8406450460540033
"1090000000000000338" 13531096 356.0 8 13531095 356.0 7 0.8406450460540033
"1090000000000000368" 13591632 356.0 8 13591631 356.0 7 0.8406450460540033
"1090000000000000367" 13589021 356.0 8 13589020 356.0 7 0.8406450460540033
"1090000000000000366" 13543302 356.0 8 13543301 356.0 7 0.8406450460540033
"1090000000000000365" 13540691 356.0 8 13540690 356.0 7 0.8406450460540033
"1090000000000000364" 13584664 356.0 8 13584663 356.0 7 0.8406450460540033
"1090000000000000363" 13582053 356.0 8 13582052 356.0 7 0.8406450460540033
"1090000000000000362" 13569476 356.0 8 13569475 356.0 7 0.8406450460540033
"1090000000000000361" 13552897 356.0 8 13552896 356.0 7 0.8406450460540033
"1090000000000000360" 13574698 356.0 8 13574697 356.0 7 0.8406450460540033
"1090000000000000359" 13572087 356.0 8 13572086 356.0 7 0.8406450460540033
"1090000000000000358" 13534588 356.0 8 13534587 356.0 7 0.8406450460540033
"1090000000000000357" 13545913 356.0 8 13545912 356.0 7 0.8406450460540033
"1090000000000000356" 13596854 356.0 8 13596853 356.0 7 0.8406450460540033
"1090000000000000355" 13565984 356.0 8 13565983 356.0 7 0.8406450460540033
"1090000000000000354" 13564238 356.0 8 13564237 356.0 7 0.8406450460540033
"1090000000000000353" 13562492 356.0 8 13562491 356.0 7 0.8406450460540033
"1090000000000000352" 13560746 356.0 8 13560745 356.0 7 0.8406450460540033
"1090000000000000351" 13587275 356.0 8 13587274 356.0 7 0.8406450460540033
"1090000000000000350" 13559000 356.0 8 13558999 356.0 7 0.8406450460540033
"1090000000000000349" 13557254 356.0 8 13557253 356.0 7 0.8406450460540033
"1090000000000000348" 13555508 356.0 8 13555507 356.0 7 0.8406450460540033
"1090000000000000347" 13538945 356.0 8 13538944 356.0 7 0.8406450460540033
"1076110000043606788" 11281473 0.0 2 11281472 0.0 1 0.3814769232587443
equal_shape_distance_same_coordinates WARNING 2710

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

Only the first 50 of 2710 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"1014010000526207787" 1070756 54479.96 1702 1070755 54479.96 1701
"1014010000526207787" 1071004 61294.13 1950 1071003 61294.13 1949
"1014010000724524809" 1154068 12231.88 383 1154067 12231.88 382
"1014010000711837078" 2060499 2722.49 231 2060498 2722.49 230
"1014010000526207554" 1025455 37035.85 1203 1025454 37035.85 1202
"1014010000002185558" 1109322 1154.39 43 1109321 1154.39 42
"1014010000002185558" 1109754 17581.49 475 1109753 17581.49 474
"1014010000526207506" 1011873 40094.44 1327 1011872 40094.44 1326
"1014010000002185515" 1119151 3201.39 79 1119150 3201.39 78
"1220000000000000428" 27306894 58834.78 376 27306893 58834.78 375
"1220000000000000363" 27456424 5017.45 56 27456423 5017.45 55
"1220000000000000508" 27307909 36770.22 283 27307908 36770.22 282
"1220000000000000509" 27314935 5311.76 44 27314934 5311.76 43
"1220000000000000506" 27310884 36770.22 283 27310883 36770.22 282
"1220000000000000507" 27308711 36770.22 283 27308710 36770.22 282
"1220000000000000505" 27311393 36770.22 283 27311392 36770.22 282
"1220000000000000502" 27310375 36770.22 283 27310374 36770.22 282
"1220000000000000503" 27308310 36770.22 283 27308309 36770.22 282
"1220000000000000501" 27307508 36770.22 283 27307507 36770.22 282
"1220000000000000524" 27473872 3295.25 84 27473871 3295.25 83
"1220000000000000525" 27473177 3295.25 84 27473176 3295.25 83
"1220000000000000513" 27312649 51479.22 1030 27312648 51479.22 1029
"1220000000000000498" 27313170 5311.76 44 27313169 5311.76 43
"1220000000000000496" 27315456 5311.76 44 27315455 5311.76 43
"1014010000722039738" 1185668 22834.27 763 1185667 22834.27 762
"1014010000722039738" 1186071 30488.43 1166 1186070 30488.43 1165
"1220000000000000323" 27444655 92.88 6 27444654 92.88 5
"1220000000000000320" 27445826 92.88 6 27445825 92.88 5
"1220000000000000319" 27444139 9154.88 51 27444138 9154.88 50
"1220000000000000317" 27443555 13782.88 95 27443554 13782.88 94
"1220000000000000315" 27443828 9761.88 58 27443827 9761.88 57
"1220000000000000313" 27444388 9154.88 51 27444387 9154.88 50
"1220000000000000314" 27445406 92.88 6 27445405 92.88 5
"1220000000000000342" 27445176 4385.88 47 27445175 4385.88 46
"1220000000000000340" 27444904 9154.88 51 27444903 9154.88 50
"1220000000000000331" 27446140 9154.88 51 27446139 9154.88 50
"1220000000000000332" 27445644 9154.88 51 27445643 9154.88 50
"1220000000000000309" 27442109 46600.88 317 27442108 46600.88 316
"1014010000722039865" 1186838 22834.27 763 1186837 22834.27 762
"1014010000676965158" 1068767 26698.98 966 1068766 26698.98 965
"1014010000676965158" 1069048 35106.38 1247 1069047 35106.38 1246
"1014010000722039997" 1204479 14085.97 543 1204478 14085.97 542
"1014010000722039997" 1205201 29205.8 1265 1205200 29205.8 1264
"1014010000722039997" 1205411 33730.92 1475 1205410 33730.92 1474
"1014010000722039997" 1205818 41394.23 1882 1205817 41394.23 1881
"1014010000574017614" 853570 8354.83 438 853569 8354.83 437
"1014010000721691906" 1792808 10774.23 666 1792807 10774.23 665
"1121120000352199726" 14829554 58543.16 2354 14829553 58543.16 2353
"1121120000395238845" 14889326 90095.74 4600 14889325 90095.74 4599
"1014010000550769718" 998273 5597.97 273 998272 5597.97 272
expired_calendar WARNING 33

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
10 "9"
136 "135"
139 "138"
183 "182"
202 "201"
260 "259"
333 "332"
648 "647"
692 "691"
798 "797"
929 "928"
934 "933"
1168 "1167"
1170 "1169"
1172 "1171"
1192 "1191"
1193 "1192"
1194 "1193"
1993 "1992"
2947 "2946"
2956 "2955"
3124 "3123"
3223 "3222"
3577 "3576"
3596 "3595"
3646 "3645"
4130 "4129"
4284 "4283"
4501 "4500"
4502 "4501"
4503 "4502"
5341 "5340"
5342 "5341"
fast_travel_between_consecutive_stops WARNING 2137

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

Only the first 50 of 2137 affected records are displayed below.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
223796 "121120000393432532" "9011012056200000" 200.6591607678781 1.3934663942213756 5022584 32 "9022050028682001" "Skjutbanan" "16:54:30" 5022585 33 "9022050001377001" "Vilshult" "16:54:55"
458287 "860000000000001744" "9011696000500000" 2308.2582003292455 54.50054084110719 9885867 1 "9022050057766001" "Notviken Station" "12:50:00" 9885868 2 "9022050072026002" "Teknikvägen" "12:51:25"
458214 "860000000000001729" "9011696000500000" 2308.2582003292455 54.50054084110719 9883321 1 "9022050057766001" "Notviken Station" "10:50:00" 9883322 2 "9022050072026002" "Teknikvägen" "10:51:25"
458281 "860000000000001728" "9011696000500000" 2308.2582003292455 54.50054084110719 9883321 1 "9022050057766001" "Notviken Station" "10:50:00" 9883322 2 "9022050072026002" "Teknikvägen" "10:51:25"
164248 "55700000080264222" "9011005063000000" 237.38721558432528 1.6485223304467034 3523243 5 "9022050017033001" "Hättevägen" "14:44:10" 3523244 6 "9022050017517001" "Mossebo" "14:44:35"
145377 "33010000235632969" "9011003084800000" 241.54109356794095 2.214126691039459 3093737 62 "9022050043585002" "Eljansbo" "21:27:01" 3093738 63 "9022050043586002" "Svepnäs" "21:27:34"
426925 "240000000000001120" "9011024071400000" 224.07860455427448 22.407860455427446 9568163 2 "9022050056129002" "Kinnbäck E4" "14:05:00" 9568164 3 "9022050055297002" "Gravlund" "14:10:00"
223814 "121120000393432781" "9011012056200000" 216.56664655560863 1.3836202418830552 5023206 9 "9022050001377002" "Vilshult" "14:33:51" 5023207 10 "9022050028682002" "Skjutbanan" "14:34:14"
145091 "33010000235395748" "9011003084800000" 258.38661256249645 2.224995830399275 3077637 8 "9022050043586001" "Svepnäs" "06:21:48" 3077638 9 "9022050043585001" "Eljansbo" "06:22:19"
145091 "33010000235395748" "9011003084800000" 224.72984137419732 2.6842731053029123 3077643 14 "9022050043559001" "Halvars (Kärrbäck)" "06:25:51" 3077644 15 "9022050043573001" "Svartängen" "06:26:34"
126328 "33010100235309080" "9011003000300000" 259.95652128230256 0.361050724003198 2495896 11 "9022050004513002" "Uppsala Science Park (Uppsala)" "05:21:55" 2495897 12 "9022050004205002" "Regementsvägen (Uppsala)" "05:22:00"
126117 "33010000235309080" "9011003000300000" 259.95652128230256 0.361050724003198 2495896 11 "9022050004513002" "Uppsala Science Park (Uppsala)" "05:21:55" 2495897 12 "9022050004205002" "Regementsvägen (Uppsala)" "05:22:00"
458243 "860000000000001696" "9011696000500000" 2308.2582003292455 54.50054084110719 9884321 1 "9022050057766001" "Notviken Station" "19:52:00" 9884322 2 "9022050072026002" "Teknikvägen" "19:53:25"
145265 "33010000234442821" "9011003084800000" 234.43694375711917 2.214126691039459 3087047 62 "9022050043585002" "Eljansbo" "09:47:37" 3087048 63 "9022050043586002" "Svepnäs" "09:48:11"
458136 "860000000000000394" "9011696000500000" 1520.9687876767284 54.50138155841611 9880737 31 "9022050072026001" "Teknikvägen" "11:56:51" 9880738 32 "9022050057766001" "Notviken Station" "11:59:00"
145095 "33010000235626142" "9011003084800000" 250.31203091991844 2.224995830399275 3077873 8 "9022050043586001" "Svepnäs" "12:20:08" 3077874 9 "9022050043585001" "Eljansbo" "12:20:40"
145095 "33010000235626142" "9011003084800000" 214.74184842423298 2.6842731053029123 3077879 14 "9022050043559001" "Halvars (Kärrbäck)" "12:24:22" 3077880 15 "9022050043573001" "Svartängen" "12:25:07"
145097 "33010000235627365" "9011003084800000" 258.38661256249645 2.224995830399275 3078011 8 "9022050043586001" "Svepnäs" "06:20:48" 3078012 9 "9022050043585001" "Eljansbo" "06:21:19"
145097 "33010000235627365" "9011003084800000" 224.72984137419732 2.6842731053029123 3078017 14 "9022050043559001" "Halvars (Kärrbäck)" "06:24:51" 3078018 15 "9022050043573001" "Svartängen" "06:25:34"
401283 "205330000128325798" "9011020904600000" 1618.3811889018677 26.97301981503113 8832664 5 "9022050046804002" "Tallhed" "08:37:56" 8832665 6 "9022050046802002" "Kvarnberg" "08:37:56"
401282 "205330100128325798" "9011020904600000" 1618.3811889018677 26.97301981503113 8832664 5 "9022050046804002" "Tallhed" "08:37:56" 8832665 6 "9022050046802002" "Kvarnberg" "08:37:56"
401283 "205330000128325798" "9011020904600000" 737.873500040481 0.6148945833670675 8832683 24 "9022050046821002" "Älvros" "10:34:57" 8832684 25 "9022050053327002" "Älvros nya Kyrka" "10:35:00"
401282 "205330100128325798" "9011020904600000" 737.873500040481 0.6148945833670675 8832683 24 "9022050046821002" "Älvros" "10:34:57" 8832684 25 "9022050053327002" "Älvros nya Kyrka" "10:35:00"
458096 "860000000000000402" "9011696000500000" 1265.8385394212773 54.50138155841611 9879414 31 "9022050072026001" "Teknikvägen" "16:27:25" 9879415 32 "9022050057766001" "Notviken Station" "16:30:00"
447784 "830073042773000001" "9011170007300000" 23770.101832803484 5942.525458200871 9787095 2 "9022050041301003" "Välsviken station" "12:26:00" 9787096 3 "9022050000287004" "Väse station" "12:40:00"
447902 "830073048149000001" "9011170007300000" 23770.101832803484 5942.525458200871 9787095 2 "9022050041301003" "Välsviken station" "12:26:00" 9787096 3 "9022050000287004" "Väse station" "12:40:00"
447780 "830073040725000001" "9011170007300000" 23770.101832803484 5942.525458200871 9787095 2 "9022050041301003" "Välsviken station" "12:26:00" 9787096 3 "9022050000287004" "Väse station" "12:40:00"
447791 "830073051477000001" "9011170007300000" 23770.101832803484 5942.525458200871 9787095 2 "9022050041301003" "Välsviken station" "12:26:00" 9787096 3 "9022050000287004" "Väse station" "12:40:00"
447901 "830073047893000001" "9011170007300000" 23770.101832803484 5942.525458200871 9787095 2 "9022050041301003" "Välsviken station" "12:26:00" 9787096 3 "9022050000287004" "Väse station" "12:40:00"
447784 "830073042773000001" "9011170007300000" 23734.520953413743 5933.630238353437 9787096 3 "9022050000287004" "Väse station" "12:42:00" 9787097 4 "9022050000222014" "Kristinehamn resecentrum" "12:56:00"
447902 "830073048149000001" "9011170007300000" 23734.520953413743 5933.630238353437 9787096 3 "9022050000287004" "Väse station" "12:42:00" 9787097 4 "9022050000222014" "Kristinehamn resecentrum" "12:56:00"
447780 "830073040725000001" "9011170007300000" 23734.520953413743 5933.630238353437 9787096 3 "9022050000287004" "Väse station" "12:42:00" 9787097 4 "9022050000222014" "Kristinehamn resecentrum" "12:56:00"
447791 "830073051477000001" "9011170007300000" 23734.520953413743 5933.630238353437 9787096 3 "9022050000287004" "Väse station" "12:42:00" 9787097 4 "9022050000222014" "Kristinehamn resecentrum" "12:56:00"
447901 "830073047893000001" "9011170007300000" 23734.520953413743 5933.630238353437 9787096 3 "9022050000287004" "Väse station" "12:42:00" 9787097 4 "9022050000222014" "Kristinehamn resecentrum" "12:56:00"
411905 "220001000320000001" "9011022000100000" 235.06836213800034 0.5876709053450009 9158407 33 "9022050065557001" "Tunadalsvägen" "18:24:29" 9158408 34 "9022050065558001" "Tunadalshamnen" "18:24:38"
447903 "830073049008000001" "9011170007300000" 32413.775226550206 5942.525458200871 9788081 3 "9022050041301003" "Välsviken station" "14:17:00" 9788082 4 "9022050000287004" "Väse station" "14:27:00"
447903 "830073049008000001" "9011170007300000" 32365.201488715957 5933.620272931259 9788082 4 "9022050000287004" "Väse station" "14:29:00" 9788083 5 "9022050000222013" "Kristinehamn resecentrum" "14:39:00"
402114 "217990000044832097" "9011021002900000" 226.14801574509457 9.92538513547915 8858213 36 "9022050048940001" "Årskogen" "18:20:00" 8858214 37 "9022050061571002" "Maj" "18:22:38"
446367 "250000000000001093" "9011152055000000" 1202.9952889179312 0.3341653580327587 9773410 1 "9022050058504001" "Tuolluvaara Vändplan" "09:20:00" 9773411 2 "9022050069241001" "Tallby" "09:20:01"
446367 "250000000000001093" "9011152055000000" 1483.874991854498 0.4121874977373605 9773412 3 "9022050069242001" "Tuolluvaara-kiosken" "09:20:01" 9773413 4 "9022050069243001" "Elsemajs Väg" "09:20:02"
80073 "14010000706508305" "9011001051900000" 217.60068009653193 0.18133390008044326 1561559 16 "9022050073493001" "Oxenstiernas allé" "23:16:02" 1561560 17 "9022050012267002" "Skrivargatan" "23:16:05"
152083 "40000000000004026" "9011004056300000" 213.05133324163592 1.124437592108634 3242154 28 "9022050014524002" "Gevle" "08:06:35" 3242155 29 "9022050014525002" "Skena" "08:06:54"
152083 "40000000000004026" "9011004056300000" 230.7705191291904 0.6410292198033067 3242155 29 "9022050014525002" "Skena" "08:06:54" 3242156 30 "9022050014526002" "Hässelby" "08:07:04"
152083 "40000000000004026" "9011004056300000" 211.55618970045944 0.470124866001021 3242156 30 "9022050014526002" "Hässelby" "08:07:04" 3242157 31 "9022050014527002" "Kälkestavägen" "08:07:12"
152083 "40000000000004026" "9011004056300000" 229.06349700664376 0.9544312375276822 3242157 31 "9022050014527002" "Kälkestavägen" "08:07:12" 3242158 32 "9022050014528002" "Vilan" "08:07:27"
129279 "33010000235291577" "9011003000600000" 950.9422620645524 0.5283012567025291 2575433 20 "9022050004221002" "Körvelgatan (Uppsala)" "19:52:58" 2575434 21 "9022050004194002" "Jordgubbsgatan (Uppsala)" "19:53:00"
447892 "830073030537000001" "9011170007300000" 32413.775226550206 5942.525458200871 9787983 2 "9022050041301003" "Välsviken station" "05:13:00" 9787984 3 "9022050000287004" "Väse station" "05:23:00"
447882 "830073009289000001" "9011170007300000" 32413.775226550206 5942.525458200871 9787983 2 "9022050041301003" "Välsviken station" "05:13:00" 9787984 3 "9022050000287004" "Väse station" "05:23:00"
447892 "830073030537000001" "9011170007300000" 32365.201488715957 5933.620272931259 9787984 3 "9022050000287004" "Väse station" "05:23:00" 9787985 4 "9022050000222013" "Kristinehamn resecentrum" "05:33:00"
447882 "830073009289000001" "9011170007300000" 32365.201488715957 5933.620272931259 9787984 3 "9022050000287004" "Väse station" "05:23:00" 9787985 4 "9022050000222013" "Kristinehamn resecentrum" "05:33:00"
fast_travel_between_far_stops WARNING 549

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

You can see more about this notice here.

Only the first 50 of 549 affected records are displayed below.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
458287 "860000000000001744" "9011696000500000" 2308.2582003292455 54.50054084110719 9885867 1 "9022050057766001" "Notviken Station" "12:50:00" 9885868 2 "9022050072026002" "Teknikvägen" "12:51:25"
458214 "860000000000001729" "9011696000500000" 2308.2582003292455 54.50054084110719 9883321 1 "9022050057766001" "Notviken Station" "10:50:00" 9883322 2 "9022050072026002" "Teknikvägen" "10:51:25"
458281 "860000000000001728" "9011696000500000" 2308.2582003292455 54.50054084110719 9885657 1 "9022050057766001" "Notviken Station" "10:50:00" 9885658 2 "9022050072026002" "Teknikvägen" "10:51:25"
426925 "240000000000001120" "9011024071400000" 224.07860455427448 22.407860455427446 9568163 2 "9022050056129002" "Kinnbäck E4" "14:05:00" 9568164 3 "9022050055297002" "Gravlund" "14:10:00"
458243 "860000000000001696" "9011696000500000" 2308.2582003292455 54.50054084110719 9884321 1 "9022050057766001" "Notviken Station" "19:52:00" 9884322 2 "9022050072026002" "Teknikvägen" "19:53:25"
458136 "860000000000000394" "9011696000500000" 1520.9687876767284 54.50138155841611 9880737 31 "9022050072026001" "Teknikvägen" "11:56:51" 9880738 32 "9022050057766001" "Notviken Station" "11:59:00"
401283 "205330000128325798" "9011020904600000" 1618.3811889018677 26.97301981503113 8832664 5 "9022050046804002" "Tallhed" "08:37:56" 8832665 6 "9022050046802002" "Kvarnberg" "08:37:56"
401282 "205330100128325798" "9011020904600000" 1618.3811889018677 26.97301981503113 8832580 5 "9022050046804002" "Tallhed" "08:37:56" 8832581 6 "9022050046802002" "Kvarnberg" "08:37:56"
458096 "860000000000000402" "9011696000500000" 1265.8385394212773 54.50138155841611 9879414 31 "9022050072026001" "Teknikvägen" "16:27:25" 9879415 32 "9022050057766001" "Notviken Station" "16:30:00"
447784 "830073042773000001" "9011170007300000" 23770.101832803484 5942.525458200871 9787095 2 "9022050041301003" "Välsviken station" "12:26:00" 9787096 3 "9022050000287004" "Väse station" "12:40:00"
447902 "830073048149000001" "9011170007300000" 23770.101832803484 5942.525458200871 9788076 2 "9022050041301003" "Välsviken station" "12:26:00" 9788077 3 "9022050000287004" "Väse station" "12:40:00"
447780 "830073040725000001" "9011170007300000" 23770.101832803484 5942.525458200871 9787068 2 "9022050041301003" "Välsviken station" "12:26:00" 9787069 3 "9022050000287004" "Väse station" "12:40:00"
447791 "830073051477000001" "9011170007300000" 23770.101832803484 5942.525458200871 9787146 2 "9022050041301003" "Välsviken station" "12:26:00" 9787147 3 "9022050000287004" "Väse station" "12:40:00"
447901 "830073047893000001" "9011170007300000" 23770.101832803484 5942.525458200871 9788072 2 "9022050041301003" "Välsviken station" "12:26:00" 9788073 3 "9022050000287004" "Väse station" "12:40:00"
447903 "830073049008000001" "9011170007300000" 32413.775226550206 5942.525458200871 9788081 3 "9022050041301003" "Välsviken station" "14:17:00" 9788082 4 "9022050000287004" "Väse station" "14:27:00"
402114 "217990000044832097" "9011021002900000" 206.196557189072 14.032821253145178 8858213 36 "9022050048940001" "Årskogen" "18:20:00" 8858215 38 "9022050069129002" "Nyråviken" "18:24:05"
447892 "830073030537000001" "9011170007300000" 32413.775226550206 5942.525458200871 9787983 2 "9022050041301003" "Välsviken station" "05:13:00" 9787984 3 "9022050000287004" "Väse station" "05:23:00"
447882 "830073009289000001" "9011170007300000" 32413.775226550206 5942.525458200871 9787902 2 "9022050041301003" "Välsviken station" "05:13:00" 9787903 3 "9022050000287004" "Väse station" "05:23:00"
458141 "860000000000001637" "9011696000500000" 1520.9687876767284 54.50138155841611 9880902 31 "9022050072026001" "Teknikvägen" "09:26:51" 9880903 32 "9022050057766001" "Notviken Station" "09:29:00"
448004 "830073014423000001" "9011170007300000" 27385.985715477396 5933.630238353437 9788938 1 "9022050000222014" "Kristinehamn resecentrum" "17:22:00" 9788939 2 "9022050000287004" "Väse station" "17:34:00"
442118 "700072019553000001" "9011112007200000" 32413.775226550206 5942.525458200871 9719452 18 "9022050041301003" "Välsviken station" "16:37:00" 9719453 19 "9022050000287004" "Väse station" "16:47:00"
402116 "217990000045454318" "9011021002900000" 229.62798414237562 14.032821253145178 8858297 38 "9022050048940001" "Årskogen" "09:18:00" 8858299 40 "9022050069129002" "Nyråviken" "09:21:40"
447875 "830073000212000001" "9011170007300000" 29712.627291004355 5942.525458200871 9787847 12 "9022050041301003" "Välsviken station" "20:41:00" 9787848 13 "9022050000287004" "Väse station" "20:52:00"
458237 "860000000000000427" "9011696000500000" 2308.2582003292455 54.50054084110719 9884111 1 "9022050057766001" "Notviken Station" "19:52:00" 9884112 2 "9022050072026002" "Teknikvägen" "19:53:25"
458238 "860000000000000428" "9011696000500000" 2308.2582003292455 54.50054084110719 9884146 1 "9022050057766001" "Notviken Station" "19:52:00" 9884147 2 "9022050072026002" "Teknikvägen" "19:53:25"
458197 "860000000000000429" "9011696000500000" 2308.2582003292455 54.50054084110719 9882741 1 "9022050057766001" "Notviken Station" "19:52:00" 9882742 2 "9022050072026002" "Teknikvägen" "19:53:25"
458151 "860000000000001662" "9011696000500000" 1265.8385394212773 54.50138155841611 9881232 31 "9022050072026001" "Teknikvägen" "20:57:25" 9881233 32 "9022050057766001" "Notviken Station" "21:00:00"
458094 "860000000000000390" "9011696000500000" 1520.9687876767284 54.50138155841611 9879348 31 "9022050072026001" "Teknikvägen" "12:56:51" 9879349 32 "9022050057766001" "Notviken Station" "12:59:00"
458135 "860000000000000389" "9011696000500000" 1520.9687876767284 54.50138155841611 9880704 31 "9022050072026001" "Teknikvägen" "12:56:51" 9880705 32 "9022050057766001" "Notviken Station" "12:59:00"
458249 "860000000000001714" "9011696000500000" 2308.2582003292455 54.50054084110719 9884532 1 "9022050057766001" "Notviken Station" "18:51:00" 9884533 2 "9022050072026002" "Teknikvägen" "18:52:25"
458283 "860000000000001733" "9011696000500000" 2308.2582003292455 54.50054084110719 9885727 1 "9022050057766001" "Notviken Station" "14:49:00" 9885728 2 "9022050072026002" "Teknikvägen" "14:50:25"
458172 "860000000000001640" "9011696000500000" 1520.9687876767284 54.50138155841611 9881925 31 "9022050072026001" "Teknikvägen" "10:56:51" 9881926 32 "9022050057766001" "Notviken Station" "10:59:00"
458233 "860000000000000417" "9011696000500000" 2308.2582003292455 54.50054084110719 9883971 1 "9022050057766001" "Notviken Station" "15:22:00" 9883972 2 "9022050072026002" "Teknikvägen" "15:23:25"
447792 "830073053806000001" "9011170007300000" 32413.775226550206 5942.525458200871 9787160 12 "9022050041301003" "Välsviken station" "14:06:00" 9787161 13 "9022050000287004" "Väse station" "14:16:00"
458210 "860000000000001703" "9011696000500000" 2308.2582003292455 54.50054084110719 9883181 1 "9022050057766001" "Notviken Station" "10:12:00" 9883182 2 "9022050072026002" "Teknikvägen" "10:13:25"
416958 "230000000000004056" "9011023005600000" 677.8276521158336 11.48541299418496 9302588 40 "9022050054862002" "Hovra,Vandrarhemmet" "17:14:29" 9302590 42 "9022050054860002" "Steget" "17:15:30"
458240 "860000000000000433" "9011696000500000" 2308.2582003292455 54.50054084110719 9884216 1 "9022050057766001" "Notviken Station" "15:07:00" 9884217 2 "9022050072026002" "Teknikvägen" "15:08:25"
273202 "141010001435096163" "9011014424000000" 617.840744800708 10.297345746678467 5924846 24 "9022050001453001" "Fengersfors" "17:23:00" 5924852 30 "9022050030867001" "Gullungebyn" "17:23:00"
447918 "830073010965000001" "9011170007300000" 35601.781430120616 5933.630238353437 9788223 1 "9022050000222014" "Kristinehamn resecentrum" "19:20:00" 9788224 2 "9022050000287004" "Väse station" "19:29:00"
447935 "830073040661000001" "9011170007300000" 35601.781430120616 5933.630238353437 9788372 1 "9022050000222014" "Kristinehamn resecentrum" "19:20:00" 9788373 2 "9022050000287004" "Väse station" "19:29:00"
458199 "860000000000000441" "9011696000500000" 2308.2582003292455 54.50054084110719 9882811 1 "9022050057766001" "Notviken Station" "05:48:00" 9882812 2 "9022050072026002" "Teknikvägen" "05:49:25"
458105 "860000000000001650" "9011696000500000" 1265.8385394212773 54.50138155841611 9879711 31 "9022050072026001" "Teknikvägen" "15:53:25" 9879712 32 "9022050057766001" "Notviken Station" "15:56:00"
447936 "830073045329000001" "9011170007300000" 35601.80036685007 5933.633394475011 9788386 1 "9022050000222015" "Kristinehamn resecentrum" "12:16:00" 9788387 2 "9022050000287004" "Väse station" "12:25:00"
458106 "860000000000001651" "9011696000500000" 1265.8385394212773 54.50138155841611 9879744 31 "9022050072026001" "Teknikvägen" "16:13:25" 9879745 32 "9022050057766001" "Notviken Station" "16:16:00"
391936 "181180000034790677" "9011018030800000" 309.5372135994189 10.231924560647458 8557541 28 "9022050070671002" "Vinkelvägen" "16:45:01" 8557552 39 "9022050070665001" "Löa bron" "16:47:00"
447794 "830073057485000001" "9011170007300000" 32413.775226550206 5942.525458200871 9787169 2 "9022050041301003" "Välsviken station" "14:17:00" 9787170 3 "9022050000287004" "Väse station" "14:27:00"
447876 "830073001677000001" "9011170007300000" 32413.775226550206 5942.525458200871 9787851 2 "9022050041301003" "Välsviken station" "14:17:00" 9787852 3 "9022050000287004" "Väse station" "14:27:00"
447887 "830073020365000001" "9011170007300000" 32413.775226550206 5942.525458200871 9787941 2 "9022050041301003" "Välsviken station" "14:17:00" 9787942 3 "9022050000287004" "Väse station" "14:27:00"
458285 "860000000000001736" "9011696000500000" 2308.2582003292455 54.50054084110719 9885797 1 "9022050057766001" "Notviken Station" "08:42:00" 9885798 2 "9022050072026002" "Teknikvägen" "08:43:25"
262477 "141010001373838236" "9011014286700000" 549.5166048202758 10.074471088371723 5677822 6 "9022050037806002" "Parkgatan Fredriksberg" "15:22:54" 5677830 14 "9022050037888002" "Tostarp" "15:24:00"
leading_or_trailing_whitespaces WARNING 2

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"stops.txt" 58333 "stop_name" "Berlin Airport BER (Berlin Brandenburg), Terminal "
"stops.txt" 179562 "stop_name" "Berlin Airport BER (Berlin Brandenburg), Terminal "
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_recommended_field WARNING 2

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"feed_info.txt" 2 "feed_start_date"
"feed_info.txt" 2 "feed_end_date"
mixed_case_recommended_field WARNING 83

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

Only the first 50 of 83 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "SJ AB" 118
"agency.txt" "agency_name" "BT buss" 124
"agency.txt" "agency_name" "A-train AB" 167
"agency.txt" "agency_name" "LT X-trafik" 250
"routes.txt" "route_short_name" "1xx" 6131
"routes.txt" "route_short_name" "1xx" 6132
"routes.txt" "route_short_name" "2xx" 6133
"routes.txt" "route_short_name" "9xx" 6134
"routes.txt" "route_short_name" "9xx" 6135
"routes.txt" "route_short_name" "21xx" 6136
"routes.txt" "route_short_name" "21xx" 6137
"routes.txt" "route_short_name" "21xx" 6138
"routes.txt" "route_short_name" "85xx" 6139
"routes.txt" "route_long_name" "UVEN (K-NR-K)" 6139
"routes.txt" "route_short_name" "85xx" 6140
"stops.txt" "stop_name" "SAS-hangaren" 2750
"stops.txt" "stop_name" "IKEA södra" 6009
"stops.txt" "stop_name" "FOI-vägen" 6799
"stops.txt" "stop_name" "TTC östra" 17236
"stops.txt" "stop_name" "AWA vägen" 22630
"stops.txt" "stop_name" "TR02norr" 26028
"stops.txt" "stop_name" "SKF R-porten" 29189
"stops.txt" "stop_name" "TA östra" 29480
"stops.txt" "stop_name" "ICA centrallager" 30387
"stops.txt" "stop_name" "SRF-villan" 34081
"stops.txt" "stop_name" "OK/Q8 rv 50" 41062
"stops.txt" "stop_name" "IKSU-hallen" 48222
"stops.txt" "stop_name" "KV-borg" 50887
"stops.txt" "stop_name" "ÖSK-vägen" 53710
"stops.txt" "stop_name" "LKAB FK" 54804
"stops.txt" "stop_name" "USÖ H-huset" 56388
"stops.txt" "stop_name" "USÖ M-huset" 56389
"stops.txt" "stop_name" "USÖ akuten" 56390
"stops.txt" "stop_name" "USÖ slussen" 57604
"stops.txt" "stop_name" "4H-gården" 59389
"stops.txt" "stop_name" "SAS-hangaren" 69460
"stops.txt" "stop_name" "SAS-hangaren" 69461
"stops.txt" "stop_name" "SAS-hangaren" 69462
"stops.txt" "stop_name" "SAS-hangaren" 69463
"stops.txt" "stop_name" "SAS-hangaren" 69464
"stops.txt" "stop_name" "SAS-hangaren" 69465
"stops.txt" "stop_name" "SAS-hangaren" 69466
"stops.txt" "stop_name" "IKEA södra" 76071
"stops.txt" "stop_name" "IKEA södra" 76072
"stops.txt" "stop_name" "IKEA södra" 76073
"stops.txt" "stop_name" "FOI-vägen" 77608
"stops.txt" "stop_name" "FOI-vägen" 77609
"stops.txt" "stop_name" "FOI-vägen" 77610
"stops.txt" "stop_name" "TTC östra" 99261
"stops.txt" "stop_name" "TTC östra" 99262
route_long_name_contains_short_name WARNING 32

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"9011006006100000" 1037 "61" "61 Ringlinje"
"9011006006200000" 1038 "62" "62 Ringlinje"
"9011006006300000" 1039 "63" "63 Ringlinje"
"9011006006400000" 1040 "64" "64 Ringlinje"
"9011006006700000" 1041 "67" "67 Ringlinje"
"9011006007100000" 1042 "71" "71 Ringlinje"
"9011006007200000" 1043 "72" "72 Ringlinje"
"9011006012600000" 1054 "126" "126 Visingsöbussen"
"9011107000700000" 5456 "202" "202 Göteborg C - Landvetter Airport"
"9011107000800000" 5457 "110" "110 Malmö C - Malmö Airport"
"9011107000900000" 5458 "960" "960 Stockholm C - Arlanda Airport"
"9011107001100000" 5459 "976" "976 Stockholm C - Skavsta Airport"
"9011107001200000" 5460 "977" "977 Stockholm C - Västerås Airport"
"9011107001300000" 5461 "981" "981 Linköping C - Skavsta Airport"
"9011107001500000" 5462 "984" "984 Liljeholmen - Arlanda Airport"
"9011107001600000" 5463 "985" "985 Brommaplan - Arlanda Airport"
"9011107001800000" 5464 "960" "960 Arlanda Airport - Stockholm C"
"9011107001900000" 5465 "984" "984 Arlanda Airport - Liljeholmen"
"9011107002000000" 5466 "985" "985 Arlanda Airport - Brommaplan"
"9011107002100000" 5467 "202" "202 Landvetter Airport - Göteborg C"
"9011107002300000" 5468 "110" "110 Malmö Airport - Malmö C"
"9011107002500000" 5469 "981" "981 Skavsta Airport - Linköping C"
"9011107002600000" 5470 "976" "976 Skavsta Airport - Stockholm C"
"9011107002700000" 5471 "977" "977 Västerås Airport - Stockholm C"
"9011108076600000" 5473 "Båt" "Båt till Ven Landskrona-Ven"
"9011117020000000" 5519 "200" "200 Kalmar - Arlanda"
"9011117030000000" 5520 "300" "300 Köpenhamn - Oslo"
"9011117040000000" 5521 "400" "400 Stockholm - Göteborg"
"9011117050000000" 5522 "500" "500 Stockholm - Göteborg"
"9011117060000000" 5523 "600" "600 Köpenhamn-Oslo"
"9011117085000000" 5524 "850" "850 Oslo - Arlanda - Stockholm"
"9011117090000000" 5525 "900" "900 Oslo - Arlanda - Stockholm"
service_has_no_active_day_of_the_week WARNING 6057

service_has_no_active_day_of_the_week

A service is not valid for any day of the week.

You can see more about this notice here.

Only the first 50 of 6057 affected records are displayed below.

csvRowNumber (?) The row number in calendar.txt where the error occurs. serviceId (?) The service_id field value.
2 "1"
3 "2"
4 "3"
5 "4"
6 "5"
7 "6"
8 "7"
9 "8"
10 "9"
11 "10"
12 "11"
13 "12"
14 "13"
15 "14"
16 "15"
17 "16"
18 "17"
19 "18"
20 "19"
21 "20"
22 "21"
23 "22"
24 "23"
25 "24"
26 "25"
27 "26"
28 "27"
29 "28"
30 "29"
31 "30"
32 "31"
33 "32"
34 "33"
35 "34"
36 "35"
37 "36"
38 "37"
39 "38"
40 "39"
41 "40"
42 "41"
43 "42"
44 "43"
45 "44"
46 "45"
47 "46"
48 "47"
49 "48"
50 "49"
51 "50"
single_shape_point WARNING 1

single_shape_point

The shape within shapes.txt contains a single shape point.

A shape should contain more than one shape point to visualize the route

You can see more about this notice here.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"1175500000282960288" 23878615
stop_has_too_many_matches_for_shape WARNING 21

stop_has_too_many_matches_for_shape

Stop entry that has many potential matches to the trip's path of travel, as defined by the shape entry in shapes.txt.

This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. matchCount (?) The number of matches for the stop that is referred to.
446791 "1250000000000001050" "250000000000001050" 9778578 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446791 "1250000000000001050" "250000000000001050" 9778628 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446791 "1250000000000001050" "250000000000001050" 9778650 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446791 "1250000000000001050" "250000000000001050" 9778706 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446791 "1250000000000001050" "250000000000001050" 9778728 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446791 "1250000000000001050" "250000000000001050" 9778578 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446789 "1250000000000001051" "250000000000001051" 9778276 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446789 "1250000000000001051" "250000000000001051" 9778326 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446789 "1250000000000001051" "250000000000001051" 9778348 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446789 "1250000000000001051" "250000000000001051" 9778404 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446789 "1250000000000001051" "250000000000001051" 9778426 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446789 "1250000000000001051" "250000000000001051" 9778276 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446790 "1250000000000001049" "250000000000001049" 9778427 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446790 "1250000000000001049" "250000000000001049" 9778477 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446790 "1250000000000001049" "250000000000001049" 9778499 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446790 "1250000000000001049" "250000000000001049" 9778555 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446790 "1250000000000001049" "250000000000001049" 9778577 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
446790 "1250000000000001049" "250000000000001049" 9778427 "9022050000877001" "Kalix Busstation Tät" [65.854356,23.142158999999996] 25
399790 "1205330000104605606" "205330000133368582" 8781443 "9022050047561002" "Uppbo" [60.398811,15.882629999999997] 23
389767 "1181180000035583771" "181180000035584784" 8509364 "9022050070199003" "Karlskoga busstation" [59.32685171489236,14.511812114563538] 26
389821 "1181180000035585691" "181180000035585768" 8510289 "9022050070199003" "Karlskoga busstation" [59.32685171489236,14.511812114563538] 26
stop_too_far_from_shape WARNING 145

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

Only the first 50 of 145 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
254372 "1141010001336157896" "141010001442689390" 5520537 "9022050000192007" "Kumla resecentrum" [59.128111,15.140813] 117.3561272383738
254372 "1141010001336157896" "141010001442689390" 5520538 "9022050000077025" "Hallsbergs resecentrum" [59.068123,15.111285] 124.11968283390044
402114 "1217990000039642534" "217990000044832097" 8858214 "9022050061571002" "Maj" [62.222123499995966,17.371830957150213] 784.6961853400353
401107 "1205330000133435299" "205330000133435891" 8827666 "9022050043642001" "Hantverksvägen" [60.01475482912971,15.78232666722867] 355.42415141288296
423469 "1240000000000000087" "240000000000000087" 9502889 "9022050054117001" "Slagnäs Bensinstation" [65.376674,21.430321999999997] 152446.9161720163
423469 "1240000000000000087" "240000000000000087" 9502896 "9022050057938001" "Kopparnäs E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423469 "1240000000000000087" "240000000000000087" 9502897 "9022050056968001" "Norrfjärden E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423475 "1240000000000000088" "240000000000000088" 9503546 "9022050054117001" "Slagnäs Bensinstation" [65.376674,21.430321999999997] 152446.9161720163
423475 "1240000000000000088" "240000000000000088" 9503553 "9022050057938001" "Kopparnäs E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423475 "1240000000000000088" "240000000000000088" 9503554 "9022050056968001" "Norrfjärden E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423471 "1240000000000000085" "240000000000000085" 9503138 "9022050054117001" "Slagnäs Bensinstation" [65.376674,21.430321999999997] 152446.9161720163
423471 "1240000000000000085" "240000000000000085" 9503146 "9022050057938001" "Kopparnäs E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423471 "1240000000000000085" "240000000000000085" 9503147 "9022050056968001" "Norrfjärden E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423474 "1240000000000000086" "240000000000000086" 9503420 "9022050054117001" "Slagnäs Bensinstation" [65.376674,21.430321999999997] 152446.9161720163
423474 "1240000000000000086" "240000000000000086" 9503427 "9022050057938001" "Kopparnäs E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423474 "1240000000000000086" "240000000000000086" 9503428 "9022050056968001" "Norrfjärden E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423472 "1240000000000000089" "240000000000000089" 9503262 "9022050054117001" "Slagnäs Bensinstation" [65.376674,21.430321999999997] 152446.9161720163
423472 "1240000000000000089" "240000000000000089" 9503269 "9022050057938001" "Kopparnäs E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423472 "1240000000000000089" "240000000000000089" 9503270 "9022050056968001" "Norrfjärden E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423468 "1240000000000000083" "240000000000000083" 9502765 "9022050054117001" "Slagnäs Bensinstation" [65.376674,21.430321999999997] 152446.9161720163
423468 "1240000000000000083" "240000000000000083" 9502773 "9022050057938001" "Kopparnäs E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423468 "1240000000000000083" "240000000000000083" 9502774 "9022050056968001" "Norrfjärden E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423473 "1240000000000000084" "240000000000000084" 9503351 "9022050054117001" "Slagnäs Bensinstation" [65.376674,21.430321999999997] 152446.9161720163
423473 "1240000000000000084" "240000000000000084" 9503359 "9022050057938001" "Kopparnäs E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423473 "1240000000000000084" "240000000000000084" 9503360 "9022050056968001" "Norrfjärden E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423467 "1240000000000000082" "240000000000000082" 9502678 "9022050054117001" "Slagnäs Bensinstation" [65.376674,21.430321999999997] 152446.9161720163
423467 "1240000000000000082" "240000000000000082" 9502685 "9022050057938001" "Kopparnäs E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423467 "1240000000000000082" "240000000000000082" 9502686 "9022050056968001" "Norrfjärden E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423470 "1240000000000000090" "240000000000000090" 9503015 "9022050054117001" "Slagnäs Bensinstation" [65.376674,21.430321999999997] 152446.9161720163
423470 "1240000000000000090" "240000000000000090" 9503022 "9022050057938001" "Kopparnäs E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423470 "1240000000000000090" "240000000000000090" 9503023 "9022050056968001" "Norrfjärden E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423476 "1240000000000000091" "240000000000000091" 9503667 "9022050054117001" "Slagnäs Bensinstation" [65.376674,21.430321999999997] 152446.9161720163
423476 "1240000000000000091" "240000000000000091" 9503674 "9022050057938001" "Kopparnäs E4" [65.39938179251118,21.46769274291088] 888.6146523551323
423476 "1240000000000000091" "240000000000000091" 9503675 "9022050056968001" "Norrfjärden E4" [65.39938179251118,21.46769274291088] 888.6146523551323
236757 "1121120000352199726" "121120000394131569" 5276683 "9022050001556001" "Tågarp station" [55.926126000000004,12.952344] 149.50157573309662
426497 "1240000000000000692" "240000000000000692" 9565825 "9022050056411001" "Volgsjöskolan" [64.62790758878705,16.656777012301703] 122.68056086154503
424065 "1240000000000000267" "240000000000000267" 9514654 "9022050054117001" "Slagnäs Bensinstation" [65.376675,21.430321999999997] 152446.89640407875
424068 "1240000000000000268" "240000000000000268" 9514681 "9022050054117001" "Slagnäs Bensinstation" [65.376675,21.430321999999997] 152446.89640407875
424060 "1240000000000000265" "240000000000000265" 9514609 "9022050054117001" "Slagnäs Bensinstation" [65.376675,21.430321999999997] 152446.89640407875
424064 "1240000000000000266" "240000000000000266" 9514645 "9022050054117001" "Slagnäs Bensinstation" [65.376675,21.430321999999997] 152446.89640407875
424066 "1240000000000000269" "240000000000000269" 9514663 "9022050054117001" "Slagnäs Bensinstation" [65.376675,21.430321999999997] 152446.89640407875
424067 "1240000000000000274" "240000000000000274" 9514672 "9022050054117001" "Slagnäs Bensinstation" [65.376675,21.430321999999997] 152446.89640407875
424062 "1240000000000000275" "240000000000000275" 9514627 "9022050054117001" "Slagnäs Bensinstation" [65.376675,21.430321999999997] 152446.89640407875
424070 "1240000000000000272" "240000000000000272" 9514699 "9022050054117001" "Slagnäs Bensinstation" [65.376675,21.430321999999997] 152446.89640407875
424059 "1240000000000000273" "240000000000000273" 9514600 "9022050054117001" "Slagnäs Bensinstation" [65.376675,21.430321999999997] 152446.89640407875
424063 "1240000000000000276" "240000000000000276" 9514636 "9022050054117001" "Slagnäs Bensinstation" [65.376675,21.430321999999997] 152446.89640407875
424061 "1240000000000000270" "240000000000000270" 9514618 "9022050054117001" "Slagnäs Bensinstation" [65.376675,21.430321999999997] 152446.89640407875
424069 "1240000000000000271" "240000000000000271" 9514690 "9022050054117001" "Slagnäs Bensinstation" [65.376675,21.430321999999997] 152446.89640407875
426520 "1240000000000000715" "240000000000000715" 9566186 "9022050056411001" "Volgsjöskolan" [64.62790758878705,16.656777012301703] 122.68056086154503
254382 "1141010001442689270" "141010001442692083" 5520600 "9022050000077025" "Hallsbergs resecentrum" [59.068123,15.111285] 124.11968283390044
stop_too_far_from_shape_using_user_distance WARNING 1329

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

You can see more about this notice here.

Only the first 50 of 1329 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
183391 "1088100000177351859" "88100000182304709" 4062528 "9022050023186002" "Bofall" [57.645342909203976,16.443529007462708] 160.94346423761328
137241 "1033010000212970594" "33010000231049463" 2782843 "9022050005284001" "Tidsberg (Uppsala)" [59.89160902997224,17.471961834218398] 257.1808933363013
137256 "1033010000213225649" "33010000236092411" 2783508 "9022050005284002" "Tidsberg (Uppsala)" [59.89158891000001,17.472069170000047] 274.42655606819136
183854 "1088100000156058283" "88100000180234858" 4073309 "9022050000362001" "Åseda terminal" [57.168042979899525,15.350730160804053] 149.02047846256232
137250 "1033010000213225719" "33010000213226083" 2783232 "9022050005284002" "Tidsberg (Uppsala)" [59.89158891000001,17.472069170000047] 274.42655606819136
97443 "1014010000648625673" "14010000708105516" 1952182 "9022050003553002" "Mörby vägskäl" [59.73528701165711,18.25158382264787] 200.859808167959
183855 "1088100000156058461" "88100000180235314" 4073395 "9022050000362001" "Åseda terminal" [57.16804297989953,15.350730160804055] 149.02047846264745
133199 "1033010000232474087" "33010000232474244" 2680671 "9022050004467002" "Martallsvägen (Uppsala)" [59.81971207315327,17.616293106666017] 203.0129847500264
423527 "1240000000000000143" "240000000000000143" 9505943 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111818] 1552.17285430933
423528 "1240000000000000146" "240000000000000146" 9505986 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111818] 1552.17285430933
423523 "1240000000000000144" "240000000000000144" 9505702 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
423524 "1240000000000000145" "240000000000000145" 9505745 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111818] 1552.17285430933
423515 "1240000000000000148" "240000000000000148" 9505228 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543093168
423530 "1240000000000000149" "240000000000000149" 9506105 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
423532 "1240000000000000153" "240000000000000153" 9506226 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
423536 "1240000000000000154" "240000000000000154" 9506481 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543093168
423516 "1240000000000000151" "240000000000000151" 9505270 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
423538 "1240000000000000157" "240000000000000157" 9506612 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
423533 "1240000000000000158" "240000000000000158" 9506315 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
423517 "1240000000000000155" "240000000000000155" 9505312 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
423537 "1240000000000000156" "240000000000000156" 9506523 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
423518 "1240000000000000159" "240000000000000159" 9505401 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
423539 "1240000000000000164" "240000000000000164" 9506699 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
423522 "1240000000000000165" "240000000000000165" 9505616 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
423520 "1240000000000000162" "240000000000000162" 9505532 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
423521 "1240000000000000163" "240000000000000163" 9505574 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
423526 "1240000000000000166" "240000000000000166" 9505900 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543093168
423525 "1240000000000000160" "240000000000000160" 9505834 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
423519 "1240000000000000161" "240000000000000161" 9505490 "9022050055528001" "Videlund E12" [64.2885690425698,19.197885818111814] 1552.1728543094923
445884 "1250000000000001159" "250000000000001159" 9758979 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
230987 "1121120000334648743" "121120000391039673" 5179797 "9022050026703001" "Lund Öresundsvägen" [55.71198608264934,13.175451060942446] 100.43501508986995
445913 "1250000000000001155" "250000000000001155" 9759946 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
445921 "1250000000000001156" "250000000000001156" 9760248 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
445883 "1250000000000001157" "250000000000001157" 9758936 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
445922 "1250000000000001158" "250000000000001158" 9760291 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
445912 "1250000000000001151" "250000000000001151" 9759903 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
445889 "1250000000000001152" "250000000000001152" 9759194 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
445890 "1250000000000001153" "250000000000001153" 9759237 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
445920 "1250000000000001154" "250000000000001154" 9760205 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
445919 "1250000000000001150" "250000000000001150" 9760162 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
445911 "1250000000000001148" "250000000000001148" 9759860 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
445888 "1250000000000001149" "250000000000001149" 9759151 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
445882 "1250000000000001145" "250000000000001145" 9758893 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
445918 "1250000000000001146" "250000000000001146" 9760119 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
445887 "1250000000000001147" "250000000000001147" 9759108 "9022050057993002" "Viaduktsvägen" [65.272602,21.512317] 788.8044600668101
446378 "1250000000000001115" "250000000000001115" 9773763 "9022050069243001" "Elsemajs Väg" [67.847525,20.342555] 896.2055260293797
446373 "1250000000000001116" "250000000000001116" 9773613 "9022050069243001" "Elsemajs Väg" [67.847525,20.342555] 896.2055260293797
446374 "1250000000000001117" "250000000000001117" 9773643 "9022050069243001" "Elsemajs Väg" [67.847525,20.342555] 896.2055260293797
446382 "1250000000000001111" "250000000000001111" 9773883 "9022050069243001" "Elsemajs Väg" [67.847525,20.342555] 896.2055260293797
446377 "1250000000000001112" "250000000000001112" 9773733 "9022050069243001" "Elsemajs Väg" [67.847525,20.342555] 896.2055260293797
stop_without_stop_time WARNING 31924

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

Only the first 50 of 31924 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
59491 "9022050000001001" "Stockholm Centralstation"
59492 "9022050000001002" "Stockholm Centralstation"
59493 "9022050000001003" "Stockholm Centralstation"
59494 "9022050000001004" "Stockholm Centralstation"
59495 "9022050000001005" "Stockholm Centralstation"
59496 "9022050000001006" "Stockholm Centralstation"
59497 "9022050000001007" "Stockholm Centralstation"
59499 "9022050000001009" "Stockholm Centralstation"
59500 "9022050000001010" "Stockholm Centralstation"
59501 "9022050000001011" "Stockholm Centralstation"
59502 "9022050000001012" "Stockholm Centralstation"
59503 "9022050000001013" "Stockholm Centralstation"
59504 "9022050000001014" "Stockholm Centralstation"
59505 "9022050000001015" "Stockholm Centralstation"
59506 "9022050000001016" "Stockholm Centralstation"
59507 "9022050000001017" "Stockholm Centralstation"
59508 "9022050000001018" "Stockholm Centralstation"
59509 "9022050000001019" "Stockholm Centralstation"
59510 "9022050000001020" "Stockholm Centralstation"
59511 "9022050000001021" "Stockholm Centralstation"
59512 "9022050000001022" "Stockholm Centralstation"
59513 "9022050000001023" "Stockholm Centralstation"
59514 "9022050000001024" "Stockholm Centralstation"
59515 "9022050000001025" "Stockholm Centralstation"
59516 "9022050000001026" "Stockholm Centralstation"
59517 "9022050000001027" "Stockholm Centralstation"
59518 "9022050000001028" "Stockholm Centralstation"
59519 "9022050000001029" "Stockholm Centralstation"
59520 "9022050000001030" "Stockholm Centralstation"
59521 "9022050000001031" "Stockholm Centralstation"
59522 "9022050000001032" "Stockholm Centralstation"
59523 "9022050000001033" "Stockholm Centralstation"
59524 "9022050000001034" "Stockholm Centralstation"
59525 "9022050000001035" "Stockholm Centralstation"
59526 "9022050000001037" "Stockholm Centralstation"
59527 "9022050000001038" "Stockholm Centralstation"
59528 "9022050000001039" "Stockholm Centralstation"
59529 "9022050000001040" "Stockholm Centralstation"
59532 "9022050000001050" "Stockholm Centralstation"
59533 "9022050000001052" "Stockholm Centralstation"
59534 "9022050000001053" "Stockholm Centralstation"
59535 "9022050000001054" "Stockholm Centralstation"
59536 "9022050000001055" "Stockholm Centralstation"
59537 "9022050000001056" "Stockholm Centralstation"
59538 "9022050000001057" "Stockholm Centralstation"
59539 "9022050000001058" "Stockholm Centralstation"
59540 "9022050000001059" "Stockholm Centralstation"
59541 "9022050000002001" "Göteborg Centralstation"
59542 "9022050000002002" "Göteborg Centralstation"
59543 "9022050000002003" "Göteborg Centralstation"
stops_match_shape_out_of_order WARNING 2

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
223719 "1121120000334935911" "121120000393429888" 5020355 "9022050073797001" "Sölvesborg Nicolaigatan" [56.053956873395464,14.583354522711108] 5020354 "9022050024898001" "Klosterplan" [56.05367447733813,14.583862428610452]
223720 "1121120000393428572" "121120000393428983" 5020387 "9022050073797001" "Sölvesborg Nicolaigatan" [56.053956873395464,14.583354522711108] 5020386 "9022050024898001" "Klosterplan" [56.05367447733813,14.583862428610452]
trip_distance_exceeds_shape_distance_below_threshold WARNING 18389

trip_distance_exceeds_shape_distance_below_threshold

The distance between the last shape point and last stop point is greater than 0 but less than the 11.1m threshold.

You can see more about this notice here.

Only the first 50 of 18389 affected records are displayed below.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"14010000690947895" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690948142" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690948756" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690950092" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690950614" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690950746" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690948260" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690949112" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690950428" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690952591" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690952723" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690953227" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690953759" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690954299" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690954867" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690955094" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690955815" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690956462" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690957342" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690951250" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690951554" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690952391" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690953559" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690954631" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690955330" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690955649" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690955981" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690956870" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690958014" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690957744" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690958458" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690958590" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690959270" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690959402" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690959742" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690960162" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690960662" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690961258" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690962200" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690963049" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690963442" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690968472" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690958826" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690958930" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690959048" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690959506" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690959638" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690960058" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690960398" "2014010000670141050" 5600.15 5600.14 0.0
"14010000690960794" "2014010000670141050" 5600.15 5600.14 0.0
unexpected_enum_value WARNING 7659

unexpected_enum_value

An enum has an unexpected value.

You can see more about this notice here.

Only the first 50 of 7659 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row number of the faulty record. fieldName (?) The name of the field where the error occurred. fieldValue (?) Faulty value.
"routes.txt" 2 "route_type" 106
"routes.txt" 3 "route_type" 106
"routes.txt" 4 "route_type" 106
"routes.txt" 5 "route_type" 106
"routes.txt" 6 "route_type" 700
"routes.txt" 7 "route_type" 700
"routes.txt" 8 "route_type" 700
"routes.txt" 9 "route_type" 700
"routes.txt" 10 "route_type" 700
"routes.txt" 11 "route_type" 700
"routes.txt" 12 "route_type" 900
"routes.txt" 13 "route_type" 401
"routes.txt" 14 "route_type" 401
"routes.txt" 15 "route_type" 900
"routes.txt" 16 "route_type" 401
"routes.txt" 17 "route_type" 401
"routes.txt" 18 "route_type" 401
"routes.txt" 19 "route_type" 401
"routes.txt" 20 "route_type" 401
"routes.txt" 21 "route_type" 900
"routes.txt" 22 "route_type" 900
"routes.txt" 23 "route_type" 900
"routes.txt" 24 "route_type" 900
"routes.txt" 25 "route_type" 900
"routes.txt" 26 "route_type" 900
"routes.txt" 27 "route_type" 900
"routes.txt" 28 "route_type" 900
"routes.txt" 29 "route_type" 900
"routes.txt" 30 "route_type" 900
"routes.txt" 31 "route_type" 900
"routes.txt" 32 "route_type" 700
"routes.txt" 33 "route_type" 700
"routes.txt" 34 "route_type" 700
"routes.txt" 35 "route_type" 700
"routes.txt" 36 "route_type" 700
"routes.txt" 37 "route_type" 700
"routes.txt" 38 "route_type" 700
"routes.txt" 39 "route_type" 700
"routes.txt" 40 "route_type" 700
"routes.txt" 41 "route_type" 700
"routes.txt" 42 "route_type" 700
"routes.txt" 43 "route_type" 700
"routes.txt" 44 "route_type" 700
"routes.txt" 45 "route_type" 700
"routes.txt" 46 "route_type" 700
"routes.txt" 47 "route_type" 700
"routes.txt" 48 "route_type" 1000
"routes.txt" 49 "route_type" 1000
"routes.txt" 50 "route_type" 1000
"routes.txt" 51 "route_type" 1000
big_gap_in_service INFO 1775

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

Only the first 50 of 1775 affected records are displayed below.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"8" "2026-06-26" "2026-08-03" 37
"31" "2026-08-07" "2026-08-24" 16
"37" "2026-06-26" "2026-08-03" 37
"50" "2026-06-25" "2026-08-03" 38
"50" "2026-09-11" "2026-10-05" 23
"57" "2026-06-27" "2026-08-08" 41
"58" "2026-06-21" "2026-08-16" 55
"62" "2026-06-21" "2026-08-09" 48
"66" "2026-06-27" "2026-08-08" 41
"67" "2026-06-21" "2026-08-02" 41
"79" "2026-06-21" "2026-08-16" 55
"87" "2026-06-27" "2026-08-08" 41
"88" "2026-06-21" "2026-08-16" 55
"92" "2026-06-27" "2026-08-08" 41
"94" "2026-06-26" "2026-08-03" 37
"97" "2026-06-26" "2026-08-03" 37
"98" "2026-06-27" "2026-08-08" 41
"99" "2026-06-26" "2026-08-07" 41
"100" "2026-06-21" "2026-08-09" 48
"103" "2026-06-20" "2026-08-08" 48
"104" "2026-06-21" "2026-08-09" 48
"115" "2026-06-26" "2026-08-10" 44
"118" "2026-06-26" "2026-08-03" 37
"119" "2026-06-26" "2026-08-07" 41
"120" "2026-06-25" "2026-08-03" 38
"142" "2026-08-13" "2026-08-30" 16
"168" "2026-06-26" "2026-08-03" 37
"170" "2026-06-27" "2026-08-03" 36
"171" "2026-06-26" "2026-08-03" 37
"171" "2026-08-14" "2026-08-31" 16
"171" "2026-09-11" "2026-10-01" 19
"184" "2026-06-26" "2026-08-04" 38
"184" "2026-08-20" "2026-09-04" 14
"210" "2026-07-05" "2026-08-06" 31
"210" "2026-08-09" "2026-08-30" 20
"210" "2026-08-30" "2026-10-04" 34
"219" "2026-06-18" "2026-08-17" 59
"221" "2026-06-26" "2026-08-03" 37
"225" "2026-06-26" "2026-08-10" 44
"233" "2026-06-26" "2026-08-31" 65
"237" "2026-06-26" "2026-08-07" 41
"239" "2026-06-25" "2026-08-03" 38
"248" "2026-06-26" "2026-08-07" 41
"248" "2026-08-07" "2026-09-04" 27
"256" "2026-07-31" "2026-08-20" 19
"267" "2026-06-18" "2026-08-17" 59
"268" "2026-06-21" "2026-08-09" 48
"280" "2026-06-27" "2026-08-01" 34
"338" "2026-06-25" "2026-08-25" 60
"339" "2026-06-26" "2026-08-07" 41
transfer_distance_above_2_km INFO 54

transfer_distance_above_2_km

The transfer distance from stop to stop in transfers.txt is larger than 2 km.

You can see more about this notice here.

Only the first 50 of 54 affected records are displayed below.

csvRowNumber (?) The row number from `transfers.txt` for the faulty entry. fromStopId (?) The ID of the stop in `from_stop_id`. toStopId (?) The ID of the stop in `to_stop_id`. distanceKm (?) The distance between the two stops in km.
65287 "9022050027199001" "9022050027201002" 2.6905566039532958
65288 "9022050027199001" "9022050027201001" 2.6902481786191648
65291 "9022050027199001" "9022050027202002" 3.794483304859054
65293 "9022050027199001" "9022050027202001" 3.732122716354262
67768 "9022050002492001" "9022050002507002" 2.2420816298158717
67769 "9022050002492001" "9022050002507001" 2.253973079264508
68223 "9022050002967001" "9022050002971001" 2.4512543890218907
68224 "9022050002967001" "9022050002971002" 2.4143024302653893
69001 "9022050033195001" "9022050033197001" 2.1006209729117313
71944 "9022050027203002" "9022050027162001" 2.7976461961582366
71958 "9022050027203002" "9022050027162002" 2.787289114613398
73200 "9022050002967001" "9022050002997002" 2.209333840853219
73201 "9022050002967001" "9022050002997001" 2.2031149453042307
77195 "9022050027162001" "9022050027203001" 2.755724803846111
77250 "9022050027162001" "9022050027203002" 2.7976461961582366
78985 "9022050002492003" "9022050002507002" 2.169982927906203
78987 "9022050002492003" "9022050002507001" 2.181857781843453
81274 "9022050033195003" "9022050033197001" 2.0355269708054053
83817 "9022050033197001" "9022050033195002" 2.0924983436434874
83821 "9022050033197001" "9022050033195003" 2.0355269708054053
83822 "9022050033197001" "9022050033195001" 2.1006209729117313
84257 "9022050027203001" "9022050027162001" 2.755724803846111
84260 "9022050027203001" "9022050027162002" 2.745398593832987
85953 "9022050027202001" "9022050027199001" 3.732122716354262
86449 "9022050002997002" "9022050002967001" 2.209333840853219
86450 "9022050002997002" "9022050002967002" 2.2134518610516154
90401 "9022050002971002" "9022050002967001" 2.4143024302653893
90402 "9022050002971002" "9022050002967002" 2.4162195483633093
90801 "9022050027201001" "9022050027199001" 2.6902481786191648
91851 "9022050027201002" "9022050027199001" 2.6905566039532958
92494 "9022050002507002" "9022050002492001" 2.2420816298158717
92495 "9022050002507002" "9022050002492002" 2.1853324062950974
92496 "9022050002507002" "9022050002492003" 2.169982927906203
93892 "9022050005249001" "9022050005689001" 2.7600367186964476
98675 "9022050005249002" "9022050005689001" 2.751560844113008
99450 "9022050002507001" "9022050002492003" 2.181857781843453
99451 "9022050002507001" "9022050002492002" 2.197261338536293
99454 "9022050002507001" "9022050002492001" 2.253973079264508
102371 "9022050002997001" "9022050002967002" 2.207293989109149
102373 "9022050002997001" "9022050002967001" 2.2031149453042307
103229 "9022050002967002" "9022050002971002" 2.4162195483633093
103232 "9022050002967002" "9022050002971001" 2.452893474554577
103401 "9022050002967002" "9022050002997002" 2.2134518610516154
103404 "9022050002967002" "9022050002997001" 2.207293989109149
105378 "9022050005689001" "9022050005249001" 2.7600367186964476
105381 "9022050005689001" "9022050005249002" 2.751560844113008
105563 "9022050027202002" "9022050027199001" 3.794483304859054
106814 "9022050027162002" "9022050027203001" 2.745398593832987
106840 "9022050027162002" "9022050027203002" 2.787289114613398
107870 "9022050002971001" "9022050002967002" 2.452893474554577
unknown_column INFO 3

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"feed_info.txt" "feed_id" 1
"areas.txt" "samtrafiken_area_type" 3
"trips.txt" "samtrafiken_internal_trip_number" 8
unused_station INFO 159

unused_station

Unused station.

A stop has location_type STATION (1) but does not appear in any stop's parent_station.

You can see more about this notice here.

Only the first 50 of 159 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
11754 "12680" "Sluts brygga"
11789 "12715" "Södertälje Syd(Reservpl.)"
11791 "12717" "Skolvägen"
11801 "12727" "Älvkällevägen"
11802 "12728" "Västertorp (Ers.trafik)"
11804 "12730" "Östergatan"
11807 "12733" "Västlunda"
11805 "12731" "Torekällgatan"
11806 "12732" "Täby centrum"
11766 "12692" "Brygga gård"
11773 "12699" "Jan Stenbecks torg"
56528 "71219" "Frälsegård"
56921 "71654" "Landeryd station"
7147 "8049" "Bornholmsgatan"
7178 "8080" "Ingenjörsvägen"
7381 "8283" "Renathvägen"
7393 "8295" "Skarabacken övre"
7467 "8369" "Thorildsplan"
7472 "8374" "Hägerstensåsen"
7563 "8465" "Fridshäll"
7564 "8466" "Bergtorp"
7587 "8489" "Solviksvägen"
7593 "8495" "Hagvägen"
7588 "8490" "Sydhamnen"
7683 "8586" "Syréngatan"
7758 "8661" "Ullnabacken"
7812 "8716" "Lövvägen"
7851 "8755" "Skällstavägen"
7862 "8772" "Skogstorpet"
7869 "8779" "Ekeby"
7916 "8826" "Markims Vreta"
7930 "8840" "Ljungbergsgårdens vägskäl"
7929 "8839" "Östra Tynningö"
7950 "8860" "Hpl 5 St Snickarbacken"
7951 "8861" "Hpl 6 Soludden"
7954 "8864" "Hpl 11"
7955 "8865" "Hpl 12"
7952 "8862" "Hpl 7 Kringeskär"
7953 "8863" "Hpl 8 Solberga"
7947 "8857" "Hpl 2 affären"
7948 "8858" "Hpl 3"
7946 "8856" "Hpl 1"
7949 "8859" "Hpl 4 Kvarntäppan"
7961 "8871" "Gamla Posten"
7962 "8872" "Stigen"
7960 "8870" "Vägskälet"
7965 "8875" "Skogstorp"
7963 "8873" "Björkbacken"
7964 "8874" "Viken"
7958 "8868" "Sjövik"