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lietuvos-transporto — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-03T16:42:33Z,
for the dataset file:///shared/lietuvos-transporto_a7e1d1fc.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included

  1. agency.txt
  2. attributions.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. trips.txt

Counts

  • Agencies: 63
  • Blocks: 0
  • Routes: 3649
  • Shapes: 4721
  • Stops: 16611
  • Trips: 48631

Specification Compliance report

526585 notices reported (402015 errors, 124551 warnings, 19 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 12

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.

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`.
"7231024" "11774" 38857 44095.4 17 38856 44095.4 16
"7874236" "26166" 76566 2009.5 4 76565 2009.5 3
"7498308" "19483" 52956 43275.3 24 52955 47866.2 23
"8124121" "21023" 532263 9521.8 8 532262 9521.8 7
"8124125" "21023" 532282 9521.8 8 532281 9521.8 7
"1222537" "5509" 21021 20018.1 7 21020 20018.1 6
"8069411" "7470" 176654 8203.6 8 176653 8203.6 7
"8069411" "11216" 176662 24117.0 17 176661 24117.0 16
"8069413" "7470" 176696 8203.6 8 176695 8203.6 7
"8069413" "11216" 176705 24117.0 17 176704 24117.0 16
"8069412" "7470" 176675 8203.6 8 176674 8203.6 7
"8069412" "11216" 176683 24117.0 17 176682 24117.0 16
duplicate_key ERROR 1957

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

Only the first 50 of 1957 affected records are displayed below.

filename (?) The name of the faulty file oldCsvRowNumber (?) The row of the first occurrence. newCsvRowNumber (?) The row of the other occurrence. fieldName1 (?) Composite key's first field name. fieldValue1 (?) Composite key's first value.
"calendar_dates.txt" 3750 8977 "service_id,date" "87829,20260328"
"calendar_dates.txt" 14354 25111 "service_id,date" "84985,20260328"
"calendar_dates.txt" 8942 35882 "service_id,date" "85377,20260328"
"calendar_dates.txt" 14379 35923 "service_id,date" "87832,20260328"
"calendar_dates.txt" 3752 35930 "service_id,date" "87830,20260328"
"calendar_dates.txt" 3761 41097 "service_id,date" "87833,20260328"
"calendar_dates.txt" 3753 41143 "service_id,date" "87831,20260328"
"stops.txt" 62 110 "stop_id" "4655"
"stops.txt" 30 575 "stop_id" "19488"
"stops.txt" 126 621 "stop_id" "5817"
"stops.txt" 826 923 "stop_id" "8959"
"stops.txt" 831 1099 "stop_id" "19489"
"stops.txt" 741 1129 "stop_id" "15287"
"stops.txt" 962 1147 "stop_id" "44952"
"stops.txt" 547 1154 "stop_id" "7276"
"stops.txt" 594 1201 "stop_id" "16337"
"stops.txt" 564 1236 "stop_id" "11777"
"stops.txt" 597 1248 "stop_id" "19485"
"stops.txt" 1033 1312 "stop_id" "71305"
"stops.txt" 111 1373 "stop_id" "4720"
"stops.txt" 416 1640 "stop_id" "23606"
"stops.txt" 429 1726 "stop_id" "6174"
"stops.txt" 1695 1759 "stop_id" "29045"
"stops.txt" 167 1809 "stop_id" "14748"
"stops.txt" 1059 1893 "stop_id" "11298"
"stops.txt" 1650 1949 "stop_id" "16942"
"stops.txt" 1386 1969 "stop_id" "17115"
"stops.txt" 1658 1971 "stop_id" "17350"
"stops.txt" 1916 1974 "stop_id" "19480"
"stops.txt" 47 2035 "stop_id" "3704"
"stops.txt" 763 2213 "stop_id" "22168"
"stops.txt" 845 2249 "stop_id" "11662"
"stops.txt" 67 2250 "stop_id" "8714"
"stops.txt" 1228 2255 "stop_id" "11553"
"stops.txt" 1061 2256 "stop_id" "11570"
"stops.txt" 2210 2274 "stop_id" "12865"
"stops.txt" 1880 2441 "stop_id" "8735"
"stops.txt" 2236 2449 "stop_id" "6704"
"stops.txt" 871 2465 "stop_id" "7413"
"stops.txt" 135 2494 "stop_id" "4741"
"stops.txt" 1835 2502 "stop_id" "4923"
"stops.txt" 2419 2503 "stop_id" "5019"
"stops.txt" 1837 2518 "stop_id" "5869"
"stops.txt" 1787 2524 "stop_id" "4747"
"stops.txt" 1806 2783 "stop_id" "9512"
"stops.txt" 1237 2899 "stop_id" "11790"
"stops.txt" 1076 2993 "stop_id" "14880"
"stops.txt" 1183 3042 "stop_id" "11921"
"stops.txt" 743 3113 "stop_id" "15394"
"stops.txt" 2142 3142 "stop_id" "19445"
forbidden_arrival_or_departure_time ERROR 100000

forbidden_arrival_or_departure_time

The arrival or departure times are provided alongside pickup or drop-off windows in stop_times.txt.

This violates GTFS specification, as both cannot coexist for a single stop time record.

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. arrivalTime (?) The arrival time of the faulty record. departureTime (?) The departure time of the faulty record. startPickupDropOffWindow (?) The start pickup drop off window of the faulty record. endPickupDropOffWindow (?) The end pickup drop off window of the faulty record.
2 "15:35:00" "15:35:00" "00:00:00" "00:00:00"
3 "15:38:00" "15:39:00" "00:00:00" "00:00:00"
4 "15:42:00" "15:43:00" "00:00:00" "00:00:00"
5 "15:44:00" "15:45:00" "00:00:00" "00:00:00"
6 "15:49:00" "15:50:00" "00:00:00" "00:00:00"
7 "15:55:00" "15:56:00" "00:00:00" "00:00:00"
8 "15:58:00" "15:59:00" "00:00:00" "00:00:00"
9 "16:01:00" "16:02:00" "00:00:00" "00:00:00"
10 "16:05:00" "16:05:00" "00:00:00" "00:00:00"
11 "09:15:00" "09:15:00" "00:00:00" "00:00:00"
12 "10:58:00" "10:58:00" "00:00:00" "00:00:00"
13 "11:03:00" "11:03:00" "00:00:00" "00:00:00"
14 "11:15:00" "11:15:00" "00:00:00" "00:00:00"
15 "11:50:00" "11:50:00" "00:00:00" "00:00:00"
16 "13:33:00" "13:33:00" "00:00:00" "00:00:00"
17 "13:38:00" "13:38:00" "00:00:00" "00:00:00"
18 "13:50:00" "13:50:00" "00:00:00" "00:00:00"
19 "15:45:00" "15:45:00" "00:00:00" "00:00:00"
20 "17:28:00" "17:28:00" "00:00:00" "00:00:00"
21 "17:33:00" "17:33:00" "00:00:00" "00:00:00"
22 "17:45:00" "17:45:00" "00:00:00" "00:00:00"
23 "17:30:00" "17:30:00" "00:00:00" "00:00:00"
24 "19:13:00" "19:13:00" "00:00:00" "00:00:00"
25 "19:18:00" "19:18:00" "00:00:00" "00:00:00"
26 "19:30:00" "19:30:00" "00:00:00" "00:00:00"
27 "15:00:00" "15:00:00" "00:00:00" "00:00:00"
28 "15:05:00" "15:05:00" "00:00:00" "00:00:00"
29 "16:30:00" "16:30:00" "00:00:00" "00:00:00"
30 "16:37:00" "16:37:00" "00:00:00" "00:00:00"
31 "16:45:00" "16:45:00" "00:00:00" "00:00:00"
32 "17:00:00" "17:00:00" "00:00:00" "00:00:00"
33 "17:05:00" "17:05:00" "00:00:00" "00:00:00"
34 "18:25:00" "18:25:00" "00:00:00" "00:00:00"
35 "18:32:00" "18:32:00" "00:00:00" "00:00:00"
36 "18:40:00" "18:40:00" "00:00:00" "00:00:00"
37 "18:00:00" "18:00:00" "00:00:00" "00:00:00"
38 "18:15:00" "18:15:00" "00:00:00" "00:00:00"
39 "19:40:00" "19:40:00" "00:00:00" "00:00:00"
40 "19:45:00" "19:45:00" "00:00:00" "00:00:00"
41 "06:00:00" "06:00:00" "00:00:00" "00:00:00"
42 "06:10:00" "06:10:00" "00:00:00" "00:00:00"
43 "06:17:00" "06:17:00" "00:00:00" "00:00:00"
44 "06:22:00" "06:22:00" "00:00:00" "00:00:00"
45 "06:27:00" "06:27:00" "00:00:00" "00:00:00"
46 "06:33:00" "06:33:00" "00:00:00" "00:00:00"
47 "06:38:00" "06:38:00" "00:00:00" "00:00:00"
48 "06:45:00" "06:50:00" "00:00:00" "00:00:00"
49 "06:55:00" "06:55:00" "00:00:00" "00:00:00"
50 "06:59:00" "06:59:00" "00:00:00" "00:00:00"
51 "07:02:00" "07:02:00" "00:00:00" "00:00:00"
forbidden_drop_off_type ERROR 100000

forbidden_drop_off_type

pickup_drop_off_window fields are forbidden when the drop_off_type is regularly scheduled (0).

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. startPickupDropOffWindow (?) The start pickup drop off window of the faulty record. endPickupDropOffWindow (?) The end pickup drop off window of the faulty record.
2 "00:00:00" "00:00:00"
3 "00:00:00" "00:00:00"
4 "00:00:00" "00:00:00"
5 "00:00:00" "00:00:00"
6 "00:00:00" "00:00:00"
7 "00:00:00" "00:00:00"
8 "00:00:00" "00:00:00"
9 "00:00:00" "00:00:00"
10 "00:00:00" "00:00:00"
12 "00:00:00" "00:00:00"
13 "00:00:00" "00:00:00"
14 "00:00:00" "00:00:00"
16 "00:00:00" "00:00:00"
17 "00:00:00" "00:00:00"
18 "00:00:00" "00:00:00"
20 "00:00:00" "00:00:00"
21 "00:00:00" "00:00:00"
22 "00:00:00" "00:00:00"
24 "00:00:00" "00:00:00"
25 "00:00:00" "00:00:00"
26 "00:00:00" "00:00:00"
29 "00:00:00" "00:00:00"
30 "00:00:00" "00:00:00"
31 "00:00:00" "00:00:00"
34 "00:00:00" "00:00:00"
35 "00:00:00" "00:00:00"
36 "00:00:00" "00:00:00"
39 "00:00:00" "00:00:00"
40 "00:00:00" "00:00:00"
43 "00:00:00" "00:00:00"
44 "00:00:00" "00:00:00"
45 "00:00:00" "00:00:00"
46 "00:00:00" "00:00:00"
47 "00:00:00" "00:00:00"
48 "00:00:00" "00:00:00"
49 "00:00:00" "00:00:00"
50 "00:00:00" "00:00:00"
51 "00:00:00" "00:00:00"
52 "00:00:00" "00:00:00"
53 "00:00:00" "00:00:00"
54 "00:00:00" "00:00:00"
55 "00:00:00" "00:00:00"
56 "00:00:00" "00:00:00"
57 "00:00:00" "00:00:00"
58 "00:00:00" "00:00:00"
59 "00:00:00" "00:00:00"
62 "00:00:00" "00:00:00"
63 "00:00:00" "00:00:00"
64 "00:00:00" "00:00:00"
65 "00:00:00" "00:00:00"
forbidden_pickup_type ERROR 100000

forbidden_pickup_type

pickup_drop_off_window fields are forbidden when the pickup_type is regularly scheduled (0) or must be coordinated with the driver (3).

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. startPickupDropOffWindow (?) The start pickup drop off window of the faulty record. endPickupDropOffWindow (?) The end pickup drop off window of the faulty record.
2 "00:00:00" "00:00:00"
3 "00:00:00" "00:00:00"
4 "00:00:00" "00:00:00"
5 "00:00:00" "00:00:00"
6 "00:00:00" "00:00:00"
7 "00:00:00" "00:00:00"
8 "00:00:00" "00:00:00"
9 "00:00:00" "00:00:00"
10 "00:00:00" "00:00:00"
11 "00:00:00" "00:00:00"
12 "00:00:00" "00:00:00"
13 "00:00:00" "00:00:00"
15 "00:00:00" "00:00:00"
16 "00:00:00" "00:00:00"
17 "00:00:00" "00:00:00"
19 "00:00:00" "00:00:00"
20 "00:00:00" "00:00:00"
21 "00:00:00" "00:00:00"
23 "00:00:00" "00:00:00"
24 "00:00:00" "00:00:00"
25 "00:00:00" "00:00:00"
27 "00:00:00" "00:00:00"
28 "00:00:00" "00:00:00"
32 "00:00:00" "00:00:00"
33 "00:00:00" "00:00:00"
37 "00:00:00" "00:00:00"
38 "00:00:00" "00:00:00"
41 "00:00:00" "00:00:00"
42 "00:00:00" "00:00:00"
43 "00:00:00" "00:00:00"
44 "00:00:00" "00:00:00"
45 "00:00:00" "00:00:00"
46 "00:00:00" "00:00:00"
47 "00:00:00" "00:00:00"
48 "00:00:00" "00:00:00"
49 "00:00:00" "00:00:00"
50 "00:00:00" "00:00:00"
51 "00:00:00" "00:00:00"
52 "00:00:00" "00:00:00"
53 "00:00:00" "00:00:00"
54 "00:00:00" "00:00:00"
55 "00:00:00" "00:00:00"
56 "00:00:00" "00:00:00"
60 "00:00:00" "00:00:00"
61 "00:00:00" "00:00:00"
62 "00:00:00" "00:00:00"
63 "00:00:00" "00:00:00"
64 "00:00:00" "00:00:00"
65 "00:00:00" "00:00:00"
66 "00:00:00" "00:00:00"
invalid_pickup_drop_off_window ERROR 100000

invalid_pickup_drop_off_window

The pickup/drop-off window in stop_times.txt is invalid.

The end_pickup_drop_off_window must be strictly later than the start_pickup_drop_off_window.

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. startPickupDropOffWindow (?) The start pickup drop off window of the faulty record. endPickupDropOffWindow (?) The end pickup drop off window of the faulty record.
2 "00:00:00" "00:00:00"
3 "00:00:00" "00:00:00"
4 "00:00:00" "00:00:00"
5 "00:00:00" "00:00:00"
6 "00:00:00" "00:00:00"
7 "00:00:00" "00:00:00"
8 "00:00:00" "00:00:00"
9 "00:00:00" "00:00:00"
10 "00:00:00" "00:00:00"
11 "00:00:00" "00:00:00"
12 "00:00:00" "00:00:00"
13 "00:00:00" "00:00:00"
14 "00:00:00" "00:00:00"
15 "00:00:00" "00:00:00"
16 "00:00:00" "00:00:00"
17 "00:00:00" "00:00:00"
18 "00:00:00" "00:00:00"
19 "00:00:00" "00:00:00"
20 "00:00:00" "00:00:00"
21 "00:00:00" "00:00:00"
22 "00:00:00" "00:00:00"
23 "00:00:00" "00:00:00"
24 "00:00:00" "00:00:00"
25 "00:00:00" "00:00:00"
26 "00:00:00" "00:00:00"
27 "00:00:00" "00:00:00"
28 "00:00:00" "00:00:00"
29 "00:00:00" "00:00:00"
30 "00:00:00" "00:00:00"
31 "00:00:00" "00:00:00"
32 "00:00:00" "00:00:00"
33 "00:00:00" "00:00:00"
34 "00:00:00" "00:00:00"
35 "00:00:00" "00:00:00"
36 "00:00:00" "00:00:00"
37 "00:00:00" "00:00:00"
38 "00:00:00" "00:00:00"
39 "00:00:00" "00:00:00"
40 "00:00:00" "00:00:00"
41 "00:00:00" "00:00:00"
42 "00:00:00" "00:00:00"
43 "00:00:00" "00:00:00"
44 "00:00:00" "00:00:00"
45 "00:00:00" "00:00:00"
46 "00:00:00" "00:00:00"
47 "00:00:00" "00:00:00"
48 "00:00:00" "00:00:00"
49 "00:00:00" "00:00:00"
50 "00:00:00" "00:00:00"
51 "00:00:00" "00:00:00"
trip_distance_exceeds_shape_distance ERROR 46

trip_distance_exceeds_shape_distance

The distance between the last shape point and last stop point is greater than or equal to the 11.1m threshold.

You can see more about this notice here.

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.
"3499684" "19568" 130544.1 130540.1 16.12238106348177
"7559299" "33949" 53706.4 52276.9 35.47466877025625
"7317015" "26974" 10008.2 8028.3 152.03315218543855
"7559297" "33949" 53706.4 52276.9 35.47466877025625
"7559291" "33949" 53706.4 52276.9 35.47466877025625
"3499685" "19568" 130544.1 130540.1 16.12238106348177
"7317012" "26974" 10008.2 8028.3 152.03315218543855
"7559290" "33949" 53706.4 52276.9 35.47466877025625
"7555313" "33821" 40528.8 39099.3 35.47466877025625
"7559298" "33949" 53706.4 52276.9 35.47466877025625
"7476583" "32206" 24295.6 13723.6 46.847173432108875
"3499691" "19570" 138641.8 138637.8 16.12238106348177
"7476588" "32206" 24295.6 13723.6 46.847173432108875
"7559300" "33949" 53706.4 52276.9 35.47466877025625
"7317016" "26974" 10008.2 8028.3 152.03315218543855
"7143202" "14608" 32411.9 30842.4 18.64210795469535
"7561761" "16294" 254635.9 254635.8 20.668319256736904
"3499693" "19570" 138641.8 138637.8 16.12238106348177
"3519505" "19586" 151231.4 151227.4 16.12238106348177
"7559289" "33949" 53706.4 52276.9 35.47466877025625
"7559292" "33949" 53706.4 52276.9 35.47466877025625
"7476584" "32206" 24295.6 13723.6 46.847173432108875
"7476586" "32206" 24295.6 13723.6 46.847173432108875
"7317010" "26974" 10008.2 8028.3 152.03315218543855
"7317017" "26974" 10008.2 8028.3 152.03315218543855
"7559296" "33949" 53706.4 52276.9 35.47466877025625
"3499692" "19570" 138641.8 138637.8 16.12238106348177
"1785553" "14608" 32411.9 30842.4 18.64210795469535
"7231024" "26500" 65664.3 65592.6 18.496192821711233
"7559295" "33949" 53706.4 52276.9 35.47466877025625
"7150732" "14622" 29283.2 26182.6 22.96936039760486
"7559294" "33949" 53706.4 52276.9 35.47466877025625
"3499686" "19568" 130544.1 130540.1 16.12238106348177
"7150733" "14622" 29283.2 26182.6 22.96936039760486
"7143201" "14608" 32411.9 30842.4 18.64210795469535
"7559293" "33949" 53706.4 52276.9 35.47466877025625
"7317013" "26974" 10008.2 8028.3 152.03315218543855
"1785550" "14608" 32411.9 30842.4 18.64210795469535
"7476587" "32206" 24295.6 13723.6 46.847173432108875
"7429581" "29409" 219092.9 217663.4 17.908616128466356
"7317014" "26974" 10008.2 8028.3 152.03315218543855
"7317018" "26974" 10008.2 8028.3 152.03315218543855
"7317011" "26974" 10008.2 8028.3 152.03315218543855
"7476585" "32206" 24295.6 13723.6 46.847173432108875
"7652364" "35668" 68062.6 68008.2 640.9168339500501
"3499687" "19568" 130544.1 130540.1 16.12238106348177
duplicate_route_name WARNING 1890

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 1890 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`.
2 "2009_1732766" 3 "2009_1732767" "130" "Linkuva - Diržiai - Pakruojis - Žeimelis - Pakruojis" 3 "20"
2 "2009_1732766" 4 "2009_1732765" "130" "Linkuva - Diržiai - Pakruojis - Žeimelis - Pakruojis" 3 "20"
2 "2009_1732766" 5 "2009_1732764" "130" "Linkuva - Diržiai - Pakruojis - Žeimelis - Pakruojis" 3 "20"
6 "1990_7652556" 7 "1990_7652555" "71" "Pasvalys-Narteikiai" 3 "25"
6 "1990_7652556" 8 "1990_7652554" "71" "Pasvalys-Narteikiai" 3 "25"
6 "1990_7652556" 9 "1990_7652561" "71" "Pasvalys-Narteikiai" 3 "25"
6 "1990_7652556" 10 "1990_7652559" "71" "Pasvalys-Narteikiai" 3 "25"
6 "1990_7652556" 11 "1990_7652562" "71" "Pasvalys-Narteikiai" 3 "25"
6 "1990_7652556" 12 "1990_7652553" "71" "Pasvalys-Narteikiai" 3 "25"
6 "1990_7652556" 13 "1990_7652560" "71" "Pasvalys-Narteikiai" 3 "25"
14 "683_7433795" 15 "683_7433794" "M-658" "Skuodas-Klaipėda" 3 "2"
14 "683_7433795" 16 "683_7433796" "M-658" "Skuodas-Klaipėda" 3 "2"
14 "683_7433795" 17 "683_7433793" "M-658" "Skuodas-Klaipėda" 3 "2"
18 "684_7433606" 19 "684_7433603" "M-659" "Skuodas-Klaipėda" 3 "2"
18 "684_7433606" 20 "684_7433601" "M-659" "Skuodas-Klaipėda" 3 "2"
18 "684_7433606" 21 "684_7433604" "M-659" "Skuodas-Klaipėda" 3 "2"
18 "684_7433606" 22 "684_7433602" "M-659" "Skuodas-Klaipėda" 3 "2"
18 "684_7433606" 23 "684_7433605" "M-659" "Skuodas-Klaipėda" 3 "2"
24 "691_43725" 25 "691_43739" "M-680" "Šakiai-Vilnius" 3 "2"
24 "691_43725" 26 "691_43744" "M-680" "Šakiai-Vilnius" 3 "2"
24 "691_43725" 27 "691_43730" "M-680" "Šakiai-Vilnius" 3 "2"
24 "691_43725" 28 "691_43741" "M-680" "Šakiai-Vilnius" 3 "2"
29 "726_42790" 30 "726_42788" "M-801" "Tauragė-Šiauliai" 3 "2"
29 "726_42790" 31 "726_42783" "M-801" "Tauragė-Šiauliai" 3 "2"
29 "726_42790" 32 "726_42791" "M-801" "Tauragė-Šiauliai" 3 "2"
29 "726_42790" 33 "726_42792" "M-801" "Tauragė-Šiauliai" 3 "2"
29 "726_42790" 34 "726_42784" "M-801" "Tauragė-Šiauliai" 3 "2"
36 "3785_311301" 37 "3785_311300" "157M" "Nemenčinė - Gėla" 3 "53"
36 "3785_311301" 38 "3785_311302" "157M" "Nemenčinė - Gėla" 3 "53"
36 "3785_311301" 39 "3785_311304" "157M" "Nemenčinė - Gėla" 3 "53"
36 "3785_311301" 40 "3785_311299" "157M" "Nemenčinė - Gėla" 3 "53"
36 "3785_311301" 41 "3785_311305" "157M" "Nemenčinė - Gėla" 3 "53"
42 "3788_311288" 43 "3788_311290" "162M" "Vilnius (Antakalnio tr.m.) - Eitminiškės per Sirvydiškes, Dailydėnus" 3 "53"
42 "3788_311288" 44 "3788_311289" "162M" "Vilnius (Antakalnio tr.m.) - Eitminiškės per Sirvydiškes, Dailydėnus" 3 "53"
45 "2046_261741" 46 "2046_261743" "48" "Utena - Užpaliai per Vyžuonas" 3 "34"
45 "2046_261741" 47 "2046_261745" "48" "Utena - Užpaliai per Vyžuonas" 3 "34"
45 "2046_261741" 48 "2046_261747" "48" "Utena - Užpaliai per Vyžuonas" 3 "34"
49 "359_45017" 50 "359_46943" "50-00" "Molėtai - Girsteitiškis - Alanta" 3 "9"
51 "484_44915" 52 "484_44913" "M-137" "Alytus-Vilnius" 3 "2"
51 "484_44915" 53 "484_44912" "M-137" "Alytus-Vilnius" 3 "2"
51 "484_44915" 54 "484_44916" "M-137" "Alytus-Vilnius" 3 "2"
55 "441_60593" 56 "441_60595" "M-262" "Marijampolė-Kaunas" 3 "2"
57 "507_42592" 58 "507_42594" "M-194" "Druskininkai-Kaunas" 3 "2"
61 "528_42452" 62 "528_42454" "M-107" "Alytus-Kaunas" 3 "2"
67 "553_44304" 68 "553_44269" "M-305" "Kaunas-Kapčiamiestis" 3 "2"
69 "555_7946329" 70 "555_7946330" "M-310" "Kaunas-Palanga" 3 "2"
71 "563_42920" 72 "563_42916" "M-321" "Kaunas-Mažeikiai" 3 "2"
75 "569_42517" 76 "569_42519" "M-329" "Kaunas-Panevėžys" 3 "2"
75 "569_42517" 77 "569_42515" "M-329" "Kaunas-Panevėžys" 3 "2"
75 "569_42517" 78 "569_42520" "M-329" "Kaunas-Panevėžys" 3 "2"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4156

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.

Only the first 50 of 4156 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.
"3647" 586075 29882.7 878 586074 29882.7 877 0.12791084993239907
"2328" 493778 35929.8 642 493777 35929.8 641 0.11119510090982554
"3659" 581125 49657.5 1177 581124 49657.5 1176 0.12791084993239907
"42205" 3651885 57850.1 335 3651884 57850.1 334 0.06178544815632574
"2369" 482582 63265.5 1261 482581 63265.5 1260 0.11119510090982554
"2385" 692039 69168.3 1771 692038 69168.3 1770 0.06441976500794575
"28733" 2472220 71509.2 1569 2472219 71509.2 1568 0.06441976500794575
"1919" 857579 136875.8 2842 857578 136875.8 2841 0.12752942403551987
"1919" 857582 136876.0 2845 857581 136876.0 2844 0.11119510090982554
"1919" 857589 136876.5 2852 857588 136876.5 2851 0.11119510232447394
"1919" 857592 136876.7 2855 857591 136876.7 2854 0.11119510161714974
"1919" 857595 136876.9 2858 857594 136876.9 2857 0.12752941555597483
"1919" 857604 136877.5 2867 857603 136877.5 2866 0.11119510090982554
"1919" 857607 136877.7 2870 857606 136877.7 2869 0.11119510161714974
"1919" 857610 136877.9 2873 857609 136877.9 2872 0.11119510090982554
"1919" 857617 136878.4 2880 857616 136878.4 2879 0.11119510090982554
"1919" 857620 136878.6 2883 857619 136878.6 2882 0.11119510161714974
"1919" 857629 136879.2 2892 857628 136879.2 2891 0.11119510090982554
"1919" 857632 136879.4 2895 857631 136879.4 2894 0.12752939825777979
"1919" 857635 136879.6 2898 857634 136879.6 2897 0.11119510161714974
"1919" 857644 136880.2 2907 857643 136880.2 2906 0.11119510161714974
"1919" 857648 136880.5 2911 857647 136880.5 2910 0.06244513630731429
"1919" 857654 136880.9 2917 857653 136880.9 2916 0.11119510161714974
"1919" 857657 136881.1 2920 857656 136881.1 2919 0.11119510090982554
"1919" 857660 136881.3 2923 857659 136881.3 2922 0.11119510090982554
"1919" 857669 136881.9 2932 857668 136881.9 2931 0.12752938095958766
"1919" 857672 136882.1 2935 857671 136882.1 2934 0.11119510161714974
"1919" 857683 136882.8 2946 857682 136882.8 2945 0.11119510161714974
"1919" 857688 136883.1 2951 857687 136883.1 2950 0.11119510161714974
"1919" 857696 136883.6 2959 857695 136883.6 2958 0.11119510090982554
"1919" 857701 136883.9 2964 857700 136883.9 2963 0.11119510090982554
"1919" 857714 136884.7 2977 857713 136884.7 2976 0.11119510161714974
"1919" 857716 136884.8 2979 857715 136884.8 2978 0.11119510090982554
"1919" 857719 136885.0 2982 857718 136885.0 2981 0.11119510161714974
"1919" 857727 136885.5 2990 857726 136885.5 2989 0.1275293557985862
"1919" 857729 136885.6 2992 857728 136885.6 2991 0.11119510161714974
"1919" 857732 136885.8 2995 857731 136885.8 2994 0.11119510090982554
"1919" 857734 136885.9 2997 857733 136885.9 2996 0.11119510232447394
"1919" 857740 136886.3 3003 857739 136886.3 3002 0.06244505260741443
"1919" 857745 136886.6 3008 857744 136886.6 3007 0.11119510161714974
"1919" 857747 136886.7 3010 857746 136886.7 3009 0.11119510090982554
"1919" 857750 136886.9 3013 857749 136886.9 3012 0.11119510090982554
"1919" 857752 136887.0 3015 857751 136887.0 3014 0.11119510090982554
"1919" 857758 136887.4 3021 857757 136887.4 3020 0.11119510090982554
"1919" 857760 136887.5 3023 857759 136887.5 3022 0.11119510161714974
"1919" 857763 136887.7 3026 857762 136887.7 3025 0.11119510090982554
"1919" 857765 136887.8 3028 857764 136887.8 3027 0.11119510161714974
"1919" 857776 136888.5 3039 857775 136888.5 3038 0.11119510161714974
"1919" 857778 136888.6 3041 857777 136888.6 3040 0.11119510090982554
"1919" 857781 136888.8 3044 857780 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 15746

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 15746 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`.
"43541" 3375877 350.5 28 3375876 350.5 27
"43541" 3375888 811.7 39 3375887 811.7 38
"43541" 3375927 1779.8 78 3375926 1779.8 77
"43541" 3375971 3184.3 122 3375970 3184.3 121
"43541" 3376004 4418.1 155 3376003 4418.1 154
"43541" 3376020 4854.6 171 3376019 4854.6 170
"43541" 3376069 6561.9 220 3376068 6561.9 219
"43541" 3376105 7544.1 256 3376104 7544.1 255
"43541" 3376144 8757.6 295 3376143 8757.6 294
"43541" 3376161 9358.6 312 3376160 9358.6 311
"43541" 3376188 9709.1 339 3376187 9709.1 338
"43541" 3376234 10376.7 385 3376233 10376.7 384
"43541" 3376287 11116.1 438 3376286 11116.1 437
"43541" 3376318 11700.4 469 3376317 11700.4 468
"43541" 3376349 12284.8 500 3376348 12284.8 499
"43541" 3376610 14358.7 761 3376609 14358.7 760
"43541" 3376686 14706.8 837 3376685 14706.8 836
"43541" 3376786 15301.6 937 3376785 15301.6 936
"43541" 3376886 15896.4 1037 3376885 15896.4 1036
"43541" 3376962 16244.5 1113 3376961 16244.5 1112
"43541" 3377160 17133.2 1311 3377159 17133.2 1310
"43541" 3377403 18161.9 1554 3377402 18161.9 1553
"43541" 3377428 18472.3 1579 3377427 18472.3 1578
"43541" 3377478 18976.3 1629 3377477 18976.3 1628
"43541" 3377625 19673.4 1776 3377624 19673.4 1775
"43541" 3377854 21285.9 2005 3377853 21285.9 2004
"43541" 3377930 22756.6 2081 3377929 22756.6 2080
"43541" 3378006 24227.3 2157 3378005 24227.3 2156
"43541" 3378045 24719.6 2196 3378044 24719.6 2195
"43541" 3378062 25292.2 2213 3378061 25292.2 2212
"43541" 3378081 25625.9 2232 3378080 25625.9 2231
"43541" 3378169 26736.7 2320 3378168 26736.7 2319
"43541" 3378256 27236.5 2407 3378255 27236.5 2406
"43541" 3378305 28436.1 2456 3378304 28436.1 2455
"43541" 3378344 28928.5 2495 3378343 28928.5 2494
"43541" 3378395 29639.4 2546 3378394 29639.4 2545
"43541" 3378626 30811.2 2777 3378625 30811.2 2776
"43541" 3378702 31159.3 2853 3378701 31159.3 2852
"43541" 3378802 31754.1 2953 3378801 31754.1 2952
"43541" 3378902 32348.9 3053 3378901 32348.9 3052
"43541" 3378978 32697.0 3129 3378977 32697.0 3128
"43541" 3379176 33585.6 3327 3379175 33585.6 3326
"43541" 3379460 35228.5 3611 3379459 35228.5 3610
"43541" 3379513 35967.9 3664 3379512 35967.9 3663
"43541" 3379544 36552.2 3695 3379543 36552.2 3694
"43541" 3379575 37136.6 3726 3379574 37136.6 3725
"43531" 2337110 1036.1 44 2337109 1036.1 43
"43531" 2337139 1669.1 73 2337138 1669.1 72
"43531" 2337166 2285.2 100 2337165 2285.2 99
"43531" 2337207 4091.8 141 2337206 4091.8 140
expired_calendar WARNING 78

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.

Only the first 50 of 78 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
22157 "62494"
23139 "67236"
23476 "13105"
23478 "14823"
23479 "17343"
23482 "20239"
23483 "12709"
23485 "17222"
23486 "20237"
23487 "13033"
23593 "83028"
23656 "89537"
23698 "66881"
23725 "89536"
23762 "69891"
23763 "69910"
23832 "69890"
23835 "69907"
23839 "63190"
23840 "63192"
23913 "78769"
23917 "85129"
24022 "43774"
24036 "48073"
24212 "47985"
24256 "48062"
24261 "48071"
24337 "24601"
24397 "13743"
24542 "1339"
24543 "1076"
24544 "2009"
24545 "2022"
24552 "2158"
24553 "2175"
24554 "2173"
24555 "2205"
24556 "2685"
24557 "2974"
24558 "3012"
24559 "2499"
24564 "1379"
24565 "2111"
24566 "2980"
24567 "2285"
24573 "1294"
24574 "2737"
24575 "2849"
24576 "2852"
24582 "2213"
fast_travel_between_consecutive_stops WARNING 1

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.

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.
41327 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 372194 17 "99227" "Krekenava" "14:03:00" 372195 18 "99243" "Rabikiai" "14:03:00"
missing_bike_allowance WARNING 118

missing_bike_allowance

Ferry trips should include bike allowance information.

All ferry trips should have a valid value in the bikes_allowed field in trips.txt.

You can see more about this notice here.

Only the first 50 of 118 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
12926 "9444_7597245" "7597245"
13034 "9444_7597214" "7597214"
13653 "9444_7597244" "7597244"
13718 "9444_7597225" "7597225"
13766 "9444_7597242" "7597242"
13998 "9444_7597240" "7597240"
14033 "9444_7597216" "7597216"
14572 "9444_7123177" "7123177"
15121 "9444_7597236" "7597236"
16301 "9444_7597224" "7597224"
16482 "9444_7597241" "7597241"
16851 "9444_7597223" "7597223"
16867 "9444_7597237" "7597237"
17085 "9444_7597238" "7597238"
17101 "9444_7123128" "7123128"
27061 "9444_7597222" "7597222"
27083 "9444_7597220" "7597220"
27288 "9444_7597246" "7597246"
27494 "9444_7597248" "7597248"
27511 "9444_7597221" "7597221"
27521 "9444_7597219" "7597219"
27608 "9444_7597249" "7597249"
27921 "9444_7597227" "7597227"
28049 "9444_7597226" "7597226"
28225 "9444_7597243" "7597243"
28432 "9444_7597247" "7597247"
28716 "9444_7597239" "7597239"
29076 "9444_7597217" "7597217"
29236 "9444_7597215" "7597215"
29357 "9444_7597218" "7597218"
29408 "9444_7597235" "7597235"
29530 "9444_7597213" "7597213"
12782 "2699" "7597173"
12872 "2699" "7597184"
13455 "2699" "7597141"
13483 "2699" "7597182"
13641 "2699" "7597185"
13650 "2699" "7597205"
13661 "2699" "7597145"
13775 "2699" "7597126"
14036 "2699" "7597174"
14046 "2699" "7597139"
14233 "2699" "7597161"
14253 "2699" "7597151"
14441 "2699" "7597197"
14494 "2699" "7597199"
14709 "2699" "7597159"
14740 "2699" "7597200"
14820 "2699" "7597135"
14825 "2699" "7597165"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
missing_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "41891" 1
3 "41891" 2
4 "41891" 3
5 "41891" 4
6 "41891" 5
7 "41891" 6
8 "41891" 7
9 "41891" 8
10 "41891" 9
11 "41979" 1
12 "41979" 2
13 "41979" 3
14 "41979" 4
15 "41980" 1
16 "41980" 2
17 "41980" 3
18 "41980" 4
19 "41981" 1
20 "41981" 2
21 "41981" 3
22 "41981" 4
23 "41982" 1
24 "41982" 2
25 "41982" 3
26 "41982" 4
27 "42101" 1
28 "42101" 2
29 "42101" 4
30 "42101" 5
31 "42101" 6
32 "42103" 1
33 "42103" 2
34 "42103" 4
35 "42103" 5
36 "42103" 6
37 "42105" 1
38 "42105" 2
39 "42105" 4
40 "42105" 5
41 "42203" 1
42 "42203" 2
43 "42203" 3
44 "42203" 4
45 "42203" 5
46 "42203" 6
47 "42203" 7
48 "42203" 8
49 "42203" 9
50 "42203" 10
51 "42203" 11
mixed_case_recommended_field WARNING 420

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 420 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" "UŽDAROJI AKCINĖ BENDROVĖ \"EMTRA\"" 20
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 267
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 268
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 269
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 270
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1035
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1036
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1037
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1038
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 1039
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 1305
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 1306
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 1307
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1321
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1322
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1323
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1324
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1325
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1326
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1327
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1328
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1329
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1330
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1331
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1332
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1333
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1334
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1335
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1336
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1337
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1338
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1339
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1340
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1341
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1342
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1343
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1344
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 1345
"routes.txt" "route_long_name" "UKMERGĖ-III ANTAKALNIS-MIŠNIŪNAI" 1433
"routes.txt" "route_long_name" "UKMERGĖ-III ANTAKALNIS-MIŠNIŪNAI" 1434
"routes.txt" "route_long_name" "UKMERGĖ-III ANTAKALNIS-MIŠNIŪNAI" 1435
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1455
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1456
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1457
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1458
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 1459
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 1460
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 1475
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 1476
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1478
route_long_name_contains_short_name WARNING 71

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.

Only the first 50 of 71 affected records are displayed below.

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`.
"20109" 3428 "830" "830"
"20123" 3429 "666" "666"
"20115" 3430 "42/41" "42/41"
"20036" 3431 "612" "612"
"20073" 3432 "601" "601"
"19526" 3433 "682" "682"
"19612" 3434 "868" "868"
"20062" 3435 "635" "635"
"19453" 3436 "956" "956"
"20100" 3437 "56/55" "56/55"
"19427" 3438 "639" "639"
"20083" 3439 "871" "871"
"19555" 3440 "695" "695"
"20096" 3441 "632" "632"
"20043" 3442 "18" "18"
"20107" 3443 "623" "623"
"20127" 3444 "15" "15"
"20117" 3445 "780" "780"
"19535" 3446 "692" "692"
"19601" 3447 "647" "647"
"20059" 3448 "505" "505"
"19607" 3449 "656" "656"
"19677" 3450 "873" "873"
"20061" 3451 "671" "671"
"20124" 3452 "966" "966"
"20106" 3453 "624" "624"
"20125" 3454 "22" "22"
"20079" 3455 "504" "504"
"19435" 3459 "36" "36"
"19622" 3460 "959" "959"
"19434" 3461 "31" "31"
"20042" 3462 "663" "663"
"19454" 3463 "650" "650"
"19458" 3464 "681" "681"
"20094" 3465 "611" "611"
"20093" 3466 "610" "610"
"19509" 3467 "949" "949"
"20116" 3468 "961" "961"
"20088" 3469 "52/51" "52/51"
"20071" 3470 "677" "677"
"20060" 3471 "629" "629"
"19513" 3472 "670" "670"
"19487" 3473 "658" "658"
"19620" 3474 "654" "654"
"19640" 3475 "838" "838"
"20097" 3476 "783" "783"
"20112" 3477 "672" "672"
"20048" 3478 "660" "660"
"19415" 3479 "960" "960"
"20084" 3480 "634" "634"
stop_too_far_from_shape WARNING 51

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 51 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.
27044 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
29374 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15380 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
29356 "43544" "8124133" 532522 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
28351 "43548" "8124139" 532560 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
13324 "26974" "7317015" 39978 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
13324 "26974" "7317015" 39979 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
13324 "26974" "7317015" 39994 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
15068 "16822" "2392140" 25214 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
14801 "16821" "2392136" 25158 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
12868 "16823" "2392142" 25253 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
28073 "18654" "3218451" 28389 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
14537 "32206" "7476583" 51380 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
14537 "32206" "7476583" 51381 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
14537 "32206" "7476583" 51382 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
14537 "32206" "7476583" 51385 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
14537 "32206" "7476583" 51390 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
13056 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12751 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
28579 "29420" "7429613" 46099 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16329 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
29191 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14543 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27765 "14622" "7150732" 38179 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
16878 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13892 "29615" "7432118" 46507 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
28696 "29616" "7432119" 46555 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
2275 "21886" "60_A4-01-6-251110-ba-0730" 574011 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1952 "21885" "60_A4-01-6-251110-ab-0700" 572551 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1943 "21887" "60_A2-01-7-251110-ab3-1100" 573279 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
24757 "21891" "60_A2-01-7-251110-ab2-0730" 573033 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1694 "21865" "60_A2-01-7-251110-b3a-1150" 574865 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1712 "21872" "60_A2-01-6-251110-b2a-0820" 574262 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
28530 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15972 "4710" "47248" 4648 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
27249 "4711" "47250" 4661 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
13747 "11705" "747606" 18268 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13134 "6511" "54507" 10612 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
26988 "6509" "54501" 10558 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
13386 "6513" "54509" 10636 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
27798 "29093" "7413976" 43690 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
15186 "29092" "7413975" 43660 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
13195 "5232" "56646" 12604 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
13737 "44681" "8136901" 590344 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
16005 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15407 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16897 "17131" "2515701" 25656 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
17008 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15640 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16185 "15331" "2211798" 22422 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stop_too_far_from_shape_using_user_distance WARNING 1970

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 1970 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.
15469 "2306" "42203" 56 "6108" "Pabiržė" [56.186395,24.638922] 111.09619690966086
13438 "29279" "8206928" 968680 "11298" "Dūkštas" [55.522186,26.326283] 128.73024628759987
13438 "29279" "8206928" 968681 "6435" "Kazitiškis" [55.44094,26.154197] 147.47885677899333
27783 "2311" "42206" 62 "5099" "Pabiržė" [56.18681599999999,24.641152] 103.47004017508962
27945 "3645" "57657" 14617 "21193" "Armalėnai" [55.345282999999995,21.524139999999996] 515.6282344209887
27945 "3645" "57657" 14619 "8212" "Laučiai" [55.348317,21.582878] 1599.9806101167858
27945 "3645" "57657" 14621 "9188" "Kulėšai" [55.350125,21.651488999999998] 615.7475497503724
15938 "3647" "57656" 14604 "4454" "Šiaudvyčiai" [55.358036,21.757813] 375.7986694276942
15938 "3647" "57656" 14608 "16623" "Kulėšai" [55.350585,21.655338] 433.9281553817577
15938 "3647" "57656" 14610 "12037" "Laučiai" [55.34827,21.585965] 595.7718133392607
15938 "3647" "57656" 14612 "15225" "Armelėnai" [55.345339,21.523148999999997] 346.2640605324547
14004 "3648" "57724" 14658 "21193" "Armalėnai" [55.345282999999995,21.524139999999996] 515.6282344209887
14004 "3648" "57724" 14659 "8212" "Laučiai" [55.348317,21.582878] 1599.9806101167858
14004 "3648" "57724" 14660 "9188" "Kulėšai" [55.350125,21.651488999999998] 615.7475497503724
28441 "18599" "3176345" 28286 "67551" "Smalininkai" [55.073710000000005,22.585033000000003] 101.17555812106261
28441 "18599" "3176345" 28287 "70413" "Endriušiai" [55.07045200000001,22.551038000000002] 110.04882174758713
29450 "3660" "57728" 14746 "8158" "Gaideliai" [55.311469,21.536597] 105.05450381520245
27284 "2328" "42519" 334 "34439" "Barklainiai" [55.57636500000001,24.33654] 109.41190267024095
27284 "2328" "42519" 338 "8801" "Truskava" [55.42807,24.226915999999996] 108.57192003033137
27284 "2328" "42519" 343 "8793" "Vilainių Kryžkėlė" [55.297476,24.001683999999997] 156.53722977211984
27284 "2328" "42519" 345 "19449" "Kėdainių autobusų stotis" [55.277976,23.957868000000005] 107.38156884853971
27284 "2328" "42519" 350 "15556" "Cinkiškiai" [55.137733,23.726043] 104.77760279633111
27284 "2328" "42519" 353 "21440" "Šilainių poliklinika" [54.928996,23.888238] 117.43104968066861
29149 "29243" "7417931" 45008 "71222" "Punios kryžkelė" [54.510866,24.141879] 124.15849198503955
29149 "29243" "7417931" 45011 "12009" "Pikelionys" [54.58166899999999,24.23009] 203.19182457138012
13107 "29248" "7417950" 45090 "12300" "Radeikiai" [55.5551,25.749846] 246.62315921847596
16536 "29247" "7417946" 45039 "11853" "Griškonys" [54.509164000000006,24.211872] 147.72052990617368
16536 "29247" "7417946" 45049 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
13398 "3659" "57727" 14739 "4454" "Šiaudvyčiai" [55.358036,21.757813] 375.7986694276942
13398 "3659" "57727" 14741 "16623" "Kulėšai" [55.350585,21.655338] 433.9281553817577
13398 "3659" "57727" 14742 "12037" "Laučiai" [55.34827,21.585965] 595.7718133392607
13398 "3659" "57727" 14743 "15225" "Armelėnai" [55.345339,21.523148999999997] 346.2640605324547
28028 "43543" "8124132" 532500 "12305" "Asavitai" [55.703985,26.172187] 102.48920376972593
29356 "43544" "8124133" 532511 "12372" "Bikėnai" [55.625846,26.085534] 197.74319552249798
29356 "43544" "8124133" 532520 "12325" "Pažemiškis" [55.546236,26.320203] 110.10611471906037
29356 "43544" "8124133" 532521 "11298" "Dūkštas" [55.522734,26.326768] 196.63604957133003
28045 "43545" "8124135" 532532 "12305" "Asavitai" [55.703985,26.172187] 102.48920376972593
28192 "43546" "8124137" 532543 "12372" "Bikėnai" [55.625846,26.085534] 197.74319552249798
16757 "43547" "8124138" 532555 "12372" "Bikėnai" [55.625846,26.085534] 197.74319552249798
15070 "3667" "57730" 14756 "21193" "Armalėnai" [55.345282999999995,21.524139999999996] 515.6282344209887
15070 "3667" "57730" 14758 "8212" "Laučiai" [55.348317,21.582878] 1599.9806101167858
15070 "3667" "57730" 14760 "9188" "Kulėšai" [55.350125,21.651488999999998] 615.7475497503724
15373 "3669" "46828" 3773 "16046" "Vakagaliai" [55.573358,24.408162000000004] 119.76442899603569
15373 "3669" "46828" 3776 "13057" "Sodeliškiai" [55.61964700000001,24.422913] 113.78340477735338
15373 "3669" "46828" 3777 "11026" "Kabeliai" [55.64137899999999,24.434119] 106.51998312310263
15373 "3669" "46828" 3778 "10993" "Pajuodžiai" [55.660582,24.435641] 105.74496736542777
15746 "23928" "5600149" 36396 "21428" "Degalinė" [54.009406,23.991598000000003] 109.51697608579956
13129 "42205" "8095585" 392330 "5136" "Vaidminiai" [56.284815,23.440383999999998] 100.24151036524563
13129 "42205" "8095585" 392335 "9004" "Kalnelis" [56.246912,23.548685] 102.08297507460881
13443 "42207" "8095590" 392415 "9730" "Centras" [56.242309,23.614399999999996] 104.42244072153835
stops_match_shape_out_of_order WARNING 15

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.
27945 "3645" "57657" 14619 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14618 "12152" "Jonaičiai" [55.34641499999999,21.570023]
15070 "3667" "57730" 14758 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14757 "13926" "Jonaičiai" [55.346103,21.568929]
28498 "3714" "57735" 14816 "13926" "Jonaičiai" [55.346103,21.568929] 14815 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
15002 "13808" "1228372" 21090 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21089 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
29461 "26489" "7231018" 38772 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38771 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
29708 "35668" "7652364" 63741 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 63740 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
29708 "35668" "7652364" 63740 "20829" "Smegduobių parkas" [56.05317339553889,24.387273474952703] 63739 "19487" "Pasvalio autobusų stotis" [56.05950362854711,24.40461665319357]
15482 "28435" "7339430" 41354 "64819" "Suostas" [56.32837413018391,24.713657886432735] 41353 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
27740 "28434" "7339429" 41330 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 41329 "64820" "Suostas" [56.32837775901334,24.713656830174433]
29372 "6591" "57635" 14279 "13926" "Jonaičiai" [55.346103,21.568929] 14278 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
14885 "3554" "57639" 14335 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14334 "12152" "Jonaičiai" [55.34641499999999,21.570023]
13891 "29102" "7413991" 43784 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43783 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
27864 "40377" "8016002" 106529 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 106528 "97223" "Tarvydai I" [55.328604,21.56423]
13062 "40378" "8016003" 106538 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 106537 "97223" "Tarvydai I" [55.328604,21.56423]
15739 "5353" "57618" 14107 "13926" "Jonaičiai" [55.346103,21.568929] 14106 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
trip_distance_exceeds_shape_distance_below_threshold WARNING 34

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.

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.
"7591205" "29907" 46659.6 46595.0 0.0
"7559287" "33948" 53402.3 51972.8 3.6589691064705088
"7440060" "29898" 37226.5 37161.9 3.6589691064705088
"7561835" "14523" 8212.0 8198.0 9.065558762703288
"7595284" "29908" 48945.1 48880.5 3.6589691064705088
"7559284" "33948" 53402.3 51972.8 3.6589691064705088
"7562476" "33948" 53402.3 51972.8 3.6589691064705088
"7439809" "29897" 37992.5 37927.9 0.0
"7555314" "33822" 40438.5 39009.0 0.06390898515367063
"7439806" "29897" 37992.5 37927.9 0.0
"7440062" "29898" 37226.5 37161.9 3.6589691064705088
"7440068" "29908" 48945.1 48880.5 3.6589691064705088
"7440067" "29907" 46659.6 46595.0 0.0
"7559276" "33948" 53402.3 51972.8 3.6589691064705088
"7440063" "29898" 37226.5 37161.9 3.6589691064705088
"7440061" "29898" 37226.5 37161.9 3.6589691064705088
"7440064" "29907" 46659.6 46595.0 0.0
"7559279" "33948" 53402.3 51972.8 3.6589691064705088
"2515701" "17131" 29034.0 20568.0 0.670257789608405
"7561834" "14524" 9747.3 9733.2 9.065558762703288
"3519499" "19582" 150410.4 150410.3 3.6589691064705088
"7439808" "29897" 37992.5 37927.9 0.0
"7591204" "29907" 46659.6 46595.0 0.0
"7429583" "29408" 218417.3 216987.8 3.6589691064705088
"7440065" "29908" 48945.1 48880.5 3.6589691064705088
"7559277" "33948" 53402.3 51972.8 3.6589691064705088
"7559278" "33948" 53402.3 51972.8 3.6589691064705088
"7559280" "33948" 53402.3 51972.8 3.6589691064705088
"7559285" "33948" 53402.3 51972.8 3.6589691064705088
"7559283" "33948" 53402.3 51972.8 3.6589691064705088
"2515700" "17131" 29034.0 20568.0 0.670257789608405
"7559282" "33948" 53402.3 51972.8 3.6589691064705088
"7559286" "33948" 53402.3 51972.8 3.6589691064705088
"7440066" "29907" 46659.6 46595.0 0.0
unknown_column INFO 19

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.
"attributions.txt" "id" 3
"fare_attributes.txt" "journey_duration" 8
"routes.txt" "eligibility_restricted" 11
"routes.txt" "bikes_allowed" 12
"routes.txt" "regional_fare_card" 14
"stops.txt" "stop_direction" 12
"stops.txt" "vehicle_type" 14
"stops.txt" "mta_stop_id" 17
"stops.txt" "regional_fare_card" 18
"stop_times.txt" "note_id" 3
"trips.txt" "note_id" 2
"trips.txt" "mean_duration_factor" 12
"trips.txt" "mean_duration_offset" 13
"trips.txt" "safe_duration_factor" 14
"trips.txt" "safe_duration_offset" 15
"trips.txt" "cars_allowed" 16
"trips.txt" "peak_offpeak" 17
"trips.txt" "mta_trip_id" 18
"trips.txt" "boarding_type" 19