sverige-sw — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-07T20:11:19Z,
for the dataset file:///shared/sverige-sw_285a9562.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. calendar.txt
  3. calendar_dates.txt
  4. feed_info.txt
  5. routes.txt
  6. stop_times.txt
  7. stops.txt
  8. transfers.txt
  9. trips.txt

Counts


  • Agencies: 72
  • Blocks: 0
  • Routes: 8971
  • Shapes: 0
  • Stops: 48731
  • Trips: 511930

Specification Compliance report

15697 notices reported (0 errors, 14588 warnings, 1109 infos)

Notice Code Severity Total
duplicate_route_name WARNING 472

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 472 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`.
592 "1251000800001" 656 "1251060800001" "8" "" -1 "251"
698 "1252000100001" 723 "1252014100001" "1" "" -1 "252"
699 "1252000200001" 724 "1252014200001" "2" "" -1 "252"
700 "1252000300001" 725 "1252014300001" "3" "" -1 "252"
700 "1252000300001" 726 "1252016300001" "3" "" -1 "252"
698 "1252000100001" 728 "1252016500001" "1" "" -1 "252"
699 "1252000200001" 729 "1252016600001" "2" "" -1 "252"
701 "1252000400001" 730 "1252016700001" "4" "" -1 "252"
698 "1252000100001" 731 "1252018100001" "1" "" -1 "252"
699 "1252000200001" 732 "1252018200001" "2" "" -1 "252"
700 "1252000300001" 733 "1252018300001" "3" "" -1 "252"
968 "1253000200001" 995 "1253020200001" "2" "" -1 "253"
969 "1253000300001" 996 "1253020300001" "3" "" -1 "253"
983 "1253011000001" 1000 "1253021000001" "10" "" -1 "253"
984 "1253011100001" 1001 "1253021100001" "11" "" -1 "253"
985 "1253011200001" 1002 "1253021200001" "12" "" -1 "253"
986 "1253011300001" 1003 "1253021300001" "13" "" -1 "253"
987 "1253012100001" 1010 "1253022100001" "21" "" -1 "253"
1255 "1254000100001" 1338 "1254071100001" "1" "" -1 "254"
1340 "1254095100001" 1341 "1254095100002" "951" "" -1 "254"
1356 "1255003000002" 1357 "1255003100001" "31" "" -1 "255"
1342 "1255000100001" 1358 "1255003200001" "1" "" -1 "255"
1343 "1255000200001" 1359 "1255003300001" "2" "" -1 "255"
1344 "1255000300001" 1360 "1255003400001" "3" "" -1 "255"
1351 "1255001200001" 1361 "1255003500001" "12" "" -1 "255"
1352 "1255001400001" 1362 "1255003700001" "14" "" -1 "255"
1342 "1255000100001" 1363 "1255004100001" "1" "" -1 "255"
1492 "1256040100001" 1569 "1256099100001" "401" "" -1 "256"
1495 "1256040400001" 1570 "1256099400001" "404" "" -1 "256"
1496 "1256040500001" 1571 "1256099500001" "405" "" -1 "256"
1497 "1256041100001" 1572 "1256099600001" "411" "" -1 "256"
1683 "1258000200001" 1692 "1258002000001" "2" "" -1 "258"
1682 "1258000100001" 1693 "1258002100001" "1" "" -1 "258"
1683 "1258000200001" 1694 "1258002200001" "2" "" -1 "258"
1685 "1258000400001" 1695 "1258002600001" "4" "" -1 "258"
1684 "1258000300001" 1696 "1258003000001" "3" "" -1 "258"
1682 "1258000100001" 1697 "1258003100001" "1" "" -1 "258"
1683 "1258000200001" 1698 "1258003200001" "2" "" -1 "258"
1686 "1258000500001" 1699 "1258003500001" "5" "" -1 "258"
1685 "1258000400001" 1700 "1258004000001" "4" "" -1 "258"
1686 "1258000500001" 1701 "1258005000001" "5" "" -1 "258"
1702 "1258009800001" 1703 "1258009900001" "Taxi" "" -1 "258"
1682 "1258000100001" 1729 "1258041300001" "1" "" -1 "258"
1684 "1258000300001" 1730 "1258041400001" "3" "" -1 "258"
1683 "1258000200001" 1731 "1258043200001" "2" "" -1 "258"
1745 "1258091400001" 1758 "1258191400001" "914" "" -1 "258"
1682 "1258000100001" 1761 "1258700100001" "1" "" -1 "258"
1683 "1258000200001" 1762 "1258700200001" "2" "" -1 "258"
1684 "1258000300001" 1763 "1258700300001" "3" "" -1 "258"
1685 "1258000400001" 1764 "1258700400001" "4" "" -1 "258"
expired_calendar WARNING 24

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.
23 "000034"
24 "000035"
25 "000036"
111 "000145"
144 "000184"
145 "000185"
146 "000186"
147 "000187"
148 "000188"
278 "000337"
341 "000409"
342 "000410"
409 "000481"
412 "000484"
689 "000865"
704 "000885"
789 "001004"
792 "001008"
861 "001102"
2257 "002976"
2282 "003006"
2341 "003068"
4380 "005576"
4571 "005822"
fast_travel_between_consecutive_stops WARNING 37

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.
108398 "22690126010002" "1269012600001" 222.68091729909818 3.711348621651636 2393049 36 "740028930" "Lerviken" "14:36:00" 2393050 37 "740028931" "Myrbodarna" "14:36:00"
5775 "23270850000087" "1327085000025" 315.4763701456461 84.12703203883896 104318 4 "740000133" "Örebro Centralstation" "02:50:00" 104319 5 "740000099" "Västerås Centralstation" "03:05:00"
180726 "22720020000001" "1272002000001" 231.80886832611947 3.8634811387686576 4042385 16 "740020142" "Sangis E4" "05:55:00" 4042386 17 "740026993" "Båtskärsnäs E4" "05:55:00"
486976 "22730054000025" "1273005400001" 253.07331774954318 4.217888629159053 10833971 17 "740023815" "Övre Vojakkala väg 99" "13:05:00" 10833972 18 "740014973" "Nedre Vojakkala väg 99" "13:05:00"
486975 "22730054000023" "1273005400001" 253.07331774954318 4.217888629159053 10833971 17 "740023815" "Övre Vojakkala väg 99" "13:05:00" 10833972 18 "740014973" "Nedre Vojakkala väg 99" "13:05:00"
236525 "22720573000003" "1272057300001" 248.12844842543316 24.812844842543317 5228079 4 "740026665" "Jiltjaur" "09:00:00" 5228080 5 "740013720" "Övre Saxnäs" "09:05:00"
31335 "22794240000608" "1279424000001" 206.51665886568364 3.441944314428061 641279 31 "740042555" "Tisselskog vägskäl" "17:23:00" 641280 32 "740012105" "Björke" "17:23:00"
31329 "22794240000607" "1279424000001" 206.51665886568364 3.441944314428061 641073 25 "740012105" "Björke" "16:09:00" 641074 26 "740042555" "Tisselskog vägskäl" "16:09:00"
180730 "22720020000011" "1272002000001" 231.80886832611947 3.8634811387686576 4042878 17 "740020142" "Sangis E4" "17:30:00" 4042879 18 "740026993" "Båtskärsnäs E4" "17:30:00"
295073 "23600950000002" "1360095000002" 260.64874500797504 4.344145750132918 6443721 18 "740021823" "Vassijaure E10" "23:23:00" 6443722 19 "740021825" "Katterjåkk E10" "23:23:00"
165382 "28120061044484" "1812006100006" 208.9735890330001 66.17496986045003 3720986 1 "740000018" "Alingsås station" "07:03:00" 3720987 2 "740000060" "Falköping Centralstation" "07:21:00"
505089 "22730050000001" "1273005000001" 867.0163918483103 14.450273197471837 11196821 21 "740015009" "Mertajärvi E45" "16:40:00" 11196822 22 "740078869" "Karesuando Södra" "16:40:00"
108401 "22690126000004" "1269012600001" 222.68091729909818 3.711348621651636 2393239 30 "740028931" "Myrbodarna" "16:40:00" 2393240 31 "740028930" "Lerviken" "16:40:00"
49595 "22720162000001" "1272016200001" 235.8577816320196 3.9309630272003266 1122439 5 "740013773" "Hednäs E12" "07:18:00" 1122440 6 "740026351" "Granö Tegsnäset E12" "07:18:00"
230791 "22798882000002" "1279888200001" 230.41493737301678 3.840248956216946 5117132 7 "740042151" "Tyft" "07:06:00" 5117133 8 "740042107" "Grimmelandsvägen" "07:06:00"
180733 "22720020000019" "1272002000001" 231.80886832611947 3.8634811387686576 4043238 16 "740020142" "Sangis E4" "16:45:00" 4043239 17 "740026993" "Båtskärsnäs E4" "16:45:00"
230793 "22798882000006" "1279888200001" 230.41493737301678 3.840248956216946 5117156 7 "740042151" "Tyft" "16:39:00" 5117157 8 "740042107" "Grimmelandsvägen" "16:39:00"
108400 "22690126000002" "1269012600001" 222.68091729909818 3.711348621651636 2393173 30 "740028931" "Myrbodarna" "15:40:00" 2393174 31 "740028930" "Lerviken" "15:40:00"
236526 "22720573000006" "1272057300001" 248.12844842543316 24.812844842543317 5228085 3 "740013720" "Övre Saxnäs" "15:25:00" 5228086 4 "740026665" "Jiltjaur" "15:30:00"
108397 "22690126010001" "1269012600001" 222.68091729909818 3.711348621651636 2392984 36 "740028930" "Lerviken" "07:14:00" 2392985 37 "740028931" "Myrbodarna" "07:14:00"
31334 "22794240000044" "1279424000001" 206.51665886568364 3.441944314428061 641223 31 "740042555" "Tisselskog vägskäl" "21:23:00" 641224 32 "740012105" "Björke" "21:23:00"
31336 "22794240000610" "1279424000001" 206.51665886568364 3.441944314428061 641223 31 "740042555" "Tisselskog vägskäl" "21:23:00" 641224 32 "740012105" "Björke" "21:23:00"
180728 "22720020000007" "1272002000001" 231.80886832611947 3.8634811387686576 4042633 16 "740020142" "Sangis E4" "12:55:00" 4042634 17 "740026993" "Båtskärsnäs E4" "12:55:00"
505092 "22730050010002" "1273005000001" 867.0163918483103 14.450273197471837 11196894 22 "740015009" "Mertajärvi E45" "16:40:00" 11196895 23 "740078869" "Karesuando Södra" "16:40:00"
76223 "22720714000001" "1272071400001" 223.81485872626723 22.381485872626723 1667935 1 "740033318" "Gravlund" "06:40:00" 1667936 2 "740026281" "Kinnbäck E4" "06:45:00"
505091 "22730050010001" "1273005000001" 867.0163918483103 14.450273197471837 11196869 21 "740015009" "Mertajärvi E45" "21:00:00" 11196870 22 "740078869" "Karesuando Södra" "21:00:00"
505090 "22730050000007" "1273005000001" 867.0163918483103 14.450273197471837 11196869 21 "740015009" "Mertajärvi E45" "21:00:00" 11196870 22 "740078869" "Karesuando Södra" "21:00:00"
180732 "22720020000015" "1272002000001" 231.80886832611947 3.8634811387686576 4043118 16 "740020142" "Sangis E4" "16:55:00" 4043119 17 "740026993" "Båtskärsnäs E4" "16:55:00"
397336 "22730053000002" "1273005300001" 206.6887600142542 3.444812666904237 8751665 35 "740023756" "Kengis väg 99" "13:40:00" 8751666 36 "740073524" "Mertapalo" "13:40:00"
397336 "22730053000002" "1273005300001" 213.91319403586593 17.82609950298883 8751677 47 "740027371" "Merasjärvi" "15:09:00" 8751678 48 "740078419" "Centralv/Sjövägen Vittangi" "15:13:00"
268421 "22792867000804" "1279286700001" 230.68769972010534 3.8447949953350893 5860156 7 "740075521" "Fridkulla" "15:22:00" 5860157 8 "740058408" "Marbäcks skola" "15:22:00"
31328 "22794240000601" "1279424000001" 206.51665886568364 3.441944314428061 641017 25 "740012105" "Björke" "10:09:00" 641018 26 "740042555" "Tisselskog vägskäl" "10:09:00"
180734 "22720020000013" "1272002000001" 231.80886832611947 3.8634811387686576 4043358 16 "740020142" "Sangis E4" "12:10:00" 4043359 17 "740026993" "Båtskärsnäs E4" "12:10:00"
180729 "22720020000009" "1272002000001" 231.80886832611947 3.8634811387686576 4042755 16 "740020142" "Sangis E4" "14:25:00" 4042756 17 "740026993" "Båtskärsnäs E4" "14:25:00"
268419 "22792867000805" "1279286700001" 230.68769972010534 3.8447949953350893 5860126 12 "740058408" "Marbäcks skola" "07:23:00" 5860127 13 "740075521" "Fridkulla" "07:23:00"
180731 "22720020000017" "1272002000001" 231.80886832611947 3.8634811387686576 4042998 16 "740020142" "Sangis E4" "08:10:00" 4042999 17 "740026993" "Båtskärsnäs E4" "08:10:00"
76224 "22720714000002" "1272071400001" 223.81485872626723 22.381485872626723 1667939 2 "740026281" "Kinnbäck E4" "14:05:00" 1667940 3 "740033318" "Gravlund" "14:10:00"
fast_travel_between_far_stops WARNING 25

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.

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.
279838 "22890308000015" "1289030800001" 204.36280532097513 10.218140266048756 6111742 28 "740076776" "Vinkelvägen" "23:59:00" 6111753 39 "740011011" "Löa bron" "24:01:00"
351023 "22730094000002" "1273009400001" 209.61373736171893 17.46781144680991 7798849 14 "740023728" "Koskats väg 97" "13:02:00" 7798851 16 "740022517" "Vuollerim Coop" "13:06:00"
5775 "23270850000087" "1327085000025" 315.4763701456461 84.12703203883896 104318 4 "740000133" "Örebro Centralstation" "02:50:00" 104319 5 "740000099" "Västerås Centralstation" "03:05:00"
155305 "22890600000704" "1289060000001" 206.08414902107276 10.304207451053639 3477669 14 "740049985" "Lannavägen" "11:18:00" 3477681 26 "740049975" "Björkemo" "11:20:00"
342988 "22720048000002" "1272004800001" 226.13833803882508 15.075889202588339 7602611 8 "740026101" "Meselefors" "14:40:00" 7602614 11 "740026433" "Abborrviken" "14:43:00"
236525 "22720573000003" "1272057300001" 248.12844842543316 24.812844842543317 5228079 4 "740026665" "Jiltjaur" "09:00:00" 5228080 5 "740013720" "Övre Saxnäs" "09:05:00"
31335 "22794240000608" "1279424000001" 616.1153750128013 10.268589583546689 641272 24 "740001453" "Fengersfors" "17:23:00" 641278 30 "740012106" "Gullungebyn" "17:23:00"
31329 "22794240000607" "1279424000001" 604.8236603069071 10.080394338448452 641072 24 "740042538" "Slöjdarevägen" "16:09:00" 641077 29 "740043259" "Smedserud" "16:09:00"
401091 "22690511000023" "1269051100001" 228.7180667620441 11.435903338102204 8817848 11 "740028562" "Brunne Härnösand" "21:00:00" 8817854 17 "740015118" "Byåker" "21:02:00"
165382 "28120061044484" "1812006100006" 208.9735890330001 66.17496986045003 3720986 1 "740000018" "Alingsås station" "07:03:00" 3720987 2 "740000060" "Falköping Centralstation" "07:21:00"
505089 "22730050000001" "1273005000001" 867.0163918483103 14.450273197471837 11196821 21 "740015009" "Mertajärvi E45" "16:40:00" 11196822 22 "740078869" "Karesuando Södra" "16:40:00"
351024 "22730094000004" "1273009400001" 209.61373736171893 17.46781144680991 7798867 14 "740023728" "Koskats väg 97" "13:02:00" 7798869 16 "740022517" "Vuollerim Coop" "13:06:00"
279835 "22890308000009" "1289030800001" 204.36280532097513 10.218140266048756 6111562 28 "740076776" "Vinkelvägen" "16:45:00" 6111573 39 "740011011" "Löa bron" "16:47:00"
351025 "22730094000008" "1273009400001" 209.61373736171893 17.46781144680991 7798885 14 "740023728" "Koskats väg 97" "17:52:00" 7798887 16 "740022517" "Vuollerim Coop" "17:56:00"
236526 "22720573000006" "1272057300001" 248.12844842543316 24.812844842543317 5228085 3 "740013720" "Övre Saxnäs" "15:25:00" 5228086 4 "740026665" "Jiltjaur" "15:30:00"
31334 "22794240000044" "1279424000001" 616.1153750128013 10.268589583546689 641216 24 "740001453" "Fengersfors" "21:23:00" 641222 30 "740012106" "Gullungebyn" "21:23:00"
31336 "22794240000610" "1279424000001" 616.1153750128013 10.268589583546689 641328 24 "740001453" "Fengersfors" "21:23:00" 641334 30 "740012106" "Gullungebyn" "21:23:00"
505092 "22730050010002" "1273005000001" 867.0163918483103 14.450273197471837 11196894 22 "740015009" "Mertajärvi E45" "16:40:00" 11196895 23 "740078869" "Karesuando Södra" "16:40:00"
76223 "22720714000001" "1272071400001" 223.81485872626723 22.381485872626723 1667935 1 "740033318" "Gravlund" "06:40:00" 1667936 2 "740026281" "Kinnbäck E4" "06:45:00"
505091 "22730050010001" "1273005000001" 867.0163918483103 14.450273197471837 11196869 21 "740015009" "Mertajärvi E45" "21:00:00" 11196870 22 "740078869" "Karesuando Södra" "21:00:00"
505090 "22730050000007" "1273005000001" 867.0163918483103 14.450273197471837 11196845 21 "740015009" "Mertajärvi E45" "21:00:00" 11196846 22 "740078869" "Karesuando Södra" "21:00:00"
397336 "22730053000002" "1273005300001" 213.91319403586593 17.82609950298883 8751677 47 "740027371" "Merasjärvi" "15:09:00" 8751678 48 "740078419" "Centralv/Sjövägen Vittangi" "15:13:00"
268421 "22792867000804" "1279286700001" 201.47107926973544 10.073553963486772 5860155 6 "740030119" "Parkgatan Fredriksberg" "15:22:00" 5860163 14 "740065377" "Tostarp" "15:24:00"
31328 "22794240000601" "1279424000001" 604.8236603069071 10.080394338448452 641016 24 "740042538" "Slöjdarevägen" "10:09:00" 641021 29 "740043259" "Smedserud" "10:09:00"
76224 "22720714000002" "1272071400001" 223.81485872626723 22.381485872626723 1667939 2 "740026281" "Kinnbäck E4" "14:05:00" 1667940 3 "740033318" "Gravlund" "14:10:00"
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 19

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.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"routes.txt" "route_long_name" "KOMBARDO EXPRESSEN" 7160
"routes.txt" "route_long_name" "KOMBARDO EXPRESSEN" 7161
"routes.txt" "route_long_name" "KOMBARDO EXPRESSEN" 7162
"routes.txt" "route_long_name" "KOMBARDO EXPRESSEN" 7163
"routes.txt" "route_long_name" "KOMBARDO EXPRESSEN" 7164
"routes.txt" "route_long_name" "KOMBARDO EXPRESSEN" 7165
"routes.txt" "route_long_name" "KOMBARDO EXPRESSEN" 7166
"routes.txt" "route_long_name" "KOMBARDO EXPRESSEN" 7167
"stops.txt" "stop_name" "STRAND NORRASTE" 3848
"stops.txt" "stop_name" "ÖSK-vägen" 9016
"stops.txt" "stop_name" "USÖ M-huset" 11872
"stops.txt" "stop_name" "AWA vägen" 17987
"stops.txt" "stop_name" "TTC östra" 23015
"stops.txt" "stop_name" "SRF-villan" 25315
"stops.txt" "stop_name" "SKF R-porten" 34886
"stops.txt" "stop_name" "ICA centrallager" 35411
"stops.txt" "stop_name" "USÖ akuten" 46476
"stops.txt" "stop_name" "USÖ H-huset" 46477
"stops.txt" "stop_name" "USÖ slussen" 47811
service_has_no_active_day_of_the_week WARNING 5037

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 5037 affected records are displayed below.

csvRowNumber (?) The row number in calendar.txt where the error occurs. serviceId (?) The service_id field value.
2 "000001"
3 "000002"
4 "000003"
5 "000005"
6 "000006"
7 "000008"
8 "000010"
9 "000011"
10 "000012"
11 "000014"
12 "000016"
13 "000018"
14 "000019"
15 "000020"
16 "000021"
17 "000023"
18 "000025"
19 "000026"
20 "000028"
21 "000030"
22 "000033"
23 "000034"
24 "000035"
25 "000036"
26 "000037"
27 "000039"
28 "000040"
29 "000041"
30 "000042"
31 "000043"
32 "000044"
33 "000047"
34 "000048"
35 "000049"
36 "000051"
37 "000052"
38 "000053"
39 "000055"
40 "000057"
41 "000059"
42 "000060"
43 "000061"
44 "000062"
45 "000064"
46 "000065"
47 "000066"
48 "000068"
49 "000070"
50 "000072"
51 "000073"
unexpected_enum_value WARNING 8971

unexpected_enum_value

An enum has an unexpected value.

You can see more about this notice here.

Only the first 50 of 8971 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" 102
"routes.txt" 3 "route_type" 102
"routes.txt" 4 "route_type" 102
"routes.txt" 5 "route_type" 702
"routes.txt" 6 "route_type" 702
"routes.txt" 7 "route_type" 702
"routes.txt" 8 "route_type" 102
"routes.txt" 9 "route_type" 702
"routes.txt" 10 "route_type" 702
"routes.txt" 11 "route_type" 102
"routes.txt" 12 "route_type" 102
"routes.txt" 13 "route_type" 102
"routes.txt" 14 "route_type" 102
"routes.txt" 15 "route_type" 102
"routes.txt" 16 "route_type" 102
"routes.txt" 17 "route_type" 102
"routes.txt" 18 "route_type" 102
"routes.txt" 19 "route_type" 102
"routes.txt" 20 "route_type" 102
"routes.txt" 21 "route_type" 102
"routes.txt" 22 "route_type" 102
"routes.txt" 23 "route_type" 102
"routes.txt" 24 "route_type" 102
"routes.txt" 25 "route_type" 102
"routes.txt" 26 "route_type" 102
"routes.txt" 27 "route_type" 102
"routes.txt" 28 "route_type" 102
"routes.txt" 29 "route_type" 102
"routes.txt" 30 "route_type" 102
"routes.txt" 31 "route_type" 102
"routes.txt" 32 "route_type" 102
"routes.txt" 33 "route_type" 102
"routes.txt" 34 "route_type" 102
"routes.txt" 35 "route_type" 102
"routes.txt" 36 "route_type" 102
"routes.txt" 37 "route_type" 102
"routes.txt" 38 "route_type" 102
"routes.txt" 39 "route_type" 102
"routes.txt" 40 "route_type" 102
"routes.txt" 41 "route_type" 702
"routes.txt" 42 "route_type" 702
"routes.txt" 43 "route_type" 102
"routes.txt" 44 "route_type" 702
"routes.txt" 45 "route_type" 702
"routes.txt" 46 "route_type" 102
"routes.txt" 47 "route_type" 702
"routes.txt" 48 "route_type" 702
"routes.txt" 49 "route_type" 102
"routes.txt" 50 "route_type" 702
"routes.txt" 51 "route_type" 702
big_gap_in_service INFO 1108

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 1108 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.
"000037" "2026-08-14" "2026-10-26" 72
"000062" "2026-08-01" "2026-09-19" 48
"000116" "2026-08-15" "2026-10-24" 69
"000117" "2026-08-09" "2026-10-18" 69
"000129" "2026-09-13" "2026-10-25" 41
"000131" "2026-09-12" "2026-10-24" 41
"000133" "2026-08-16" "2026-11-08" 83
"000135" "2026-08-19" "2026-09-17" 28
"000135" "2026-09-17" "2026-10-28" 40
"000135" "2026-10-28" "2026-12-04" 36
"000150" "2026-10-09" "2026-10-30" 20
"000199" "2026-10-10" "2026-10-31" 20
"000205" "2026-09-16" "2026-10-08" 21
"000205" "2026-10-08" "2026-10-27" 18
"000205" "2026-10-27" "2026-12-03" 36
"000214" "2026-08-15" "2026-10-03" 48
"000214" "2026-10-03" "2026-11-28" 55
"000232" "2026-08-17" "2026-11-09" 83
"000264" "2026-08-02" "2026-09-26" 54
"000273" "2026-09-30" "2026-10-20" 19
"000274" "2026-08-30" "2026-09-19" 19
"000274" "2026-10-18" "2026-11-07" 19
"000277" "2026-10-18" "2026-11-07" 19
"000278" "2026-08-30" "2026-09-19" 19
"000278" "2026-10-18" "2026-11-07" 19
"000279" "2026-10-18" "2026-11-07" 19
"000280" "2026-08-30" "2026-09-19" 19
"000282" "2026-08-02" "2026-09-27" 55
"000283" "2026-09-25" "2026-11-05" 40
"000292" "2026-08-19" "2026-09-17" 28
"000292" "2026-09-17" "2026-10-09" 21
"000292" "2026-10-09" "2026-10-28" 18
"000292" "2026-10-28" "2026-12-04" 36
"000330" "2026-09-14" "2026-10-26" 41
"000330" "2026-10-26" "2026-11-23" 27
"000355" "2026-08-30" "2026-10-10" 40
"000355" "2026-10-11" "2026-11-07" 26
"000360" "2026-08-02" "2026-09-06" 34
"000381" "2026-08-17" "2026-09-25" 38
"000381" "2026-09-25" "2026-10-26" 30
"000515" "2026-08-20" "2026-09-07" 17
"000526" "2026-08-21" "2026-09-08" 17
"000596" "2026-10-30" "2026-11-27" 27
"000616" "2026-09-14" "2026-10-26" 41
"000621" "2026-08-02" "2026-08-20" 17
"000629" "2026-08-14" "2026-10-26" 72
"000677" "2026-08-06" "2026-08-21" 14
"000736" "2026-08-18" "2026-10-26" 68
"000744" "2026-09-05" "2026-09-20" 14
"000754" "2026-09-11" "2026-09-28" 16
unknown_column INFO 1

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