GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-01-12T16:53:19+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

⚠ This feed contains GTFS Flex features. Please note that GTFS Flex validation support is still in development. You can manually review all the validation rules for Flex data here.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

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: 41
  • Blocks: 0
  • Routes: 1410
  • Shapes: 3711
  • Stops: 13611
  • Trips: 22771

Specification Compliance report

121211 notices reported (0 errors, 121178 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 45

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.

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`.
55 "18629" 56 "18656" "M-168" "Kaunas-Šilainiai-Giraitė-Užliedžiai" 3 "14"
189 "18622" 230 "18646" "M-168" "Kaunas-Giraitė-Užliedžiai-Babtai-Vosiškiai" 3 "14"
340 "6209" 342 "18329" "M1" "Alytus - Geniai" 3 "48"
180 "18680" 368 "18664" "M-101" "Kauno pilis-Giraitė-Užliedžiai" 3 "14"
367 "18641" 369 "18626" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
174 "18659" 372 "18630" "M-156" "Kaunas - Neveronys" 3 "14"
176 "18688" 373 "18662" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
11 "18611" 381 "18625" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
236 "18683" 405 "18623" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
549 "18612" 550 "18637" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
13 "18672" 551 "18678" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
554 "18613" 555 "18687" "M-151" "Kaunas-Ramučiai" 3 "14"
185 "18621" 556 "18644" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
546 "18653" 706 "18658" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
186 "18635" 710 "18663" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
375 "18655" 720 "18627" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
761 "18657" 762 "18673" "M-168" "Vosiškiai-Babtai" 3 "14"
173 "18619" 875 "18610" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
179 "18609" 877 "18643" "M-146" "Kaunas-Žiegždriai" 3 "14"
18 "18631" 878 "18640" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
9 "18618" 879 "18615" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
548 "18645" 881 "18632" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
708 "18685" 882 "18616" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
711 "18617" 884 "18681" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
885 "18676" 887 "18670" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
377 "18614" 890 "18686" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
721 "18649" 894 "18671" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
232 "18648" 925 "18690" "M-120" "Karmėlava-Ramučiai" 3 "14"
758 "16052" 971 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
880 "18647" 1047 "18682" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
883 "18624" 1049 "18684" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
374 "18689" 1050 "18674" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
380 "18701" 1057 "18702" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
1053 "18666" 1081 "18677" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
1052 "18642" 1227 "18620" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
1228 "18665" 1229 "18636" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
1048 "18652" 1230 "18667" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
231 "18668" 1232 "18628" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
886 "18634" 1233 "18660" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
557 "18679" 1237 "18669" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
1051 "18639" 1238 "18633" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
19 "18638" 1241 "18650" "M-101A" "Kauno pilis-Šilainiai-Giraitė-Užliedžiai" 3 "14"
922 "18661" 1280 "18651" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
715 "18654" 1281 "18675" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
410 "3645" 1317 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4151

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 4151 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" 505676 29882.7 878 505675 29882.7 877 0.12791084993239907
"2328" 410494 35929.8 642 410493 35929.8 641 0.11119510090982554
"3659" 500726 49657.5 1177 500725 49657.5 1176 0.12791084993239907
"42205" 3181959 57850.1 335 3181958 57850.1 334 0.06178544815632574
"2369" 395743 63265.5 1261 395742 63265.5 1260 0.11119510090982554
"2385" 610748 69168.3 1771 610747 69168.3 1770 0.06441976500794575
"28733" 2306376 71509.2 1569 2306375 71509.2 1568 0.06441976500794575
"1919" 777459 136875.8 2842 777458 136875.8 2841 0.12752942403551987
"1919" 777462 136876.0 2845 777461 136876.0 2844 0.11119510090982554
"1919" 777469 136876.5 2852 777468 136876.5 2851 0.11119510232447394
"1919" 777472 136876.7 2855 777471 136876.7 2854 0.11119510161714974
"1919" 777475 136876.9 2858 777474 136876.9 2857 0.12752941555597483
"1919" 777484 136877.5 2867 777483 136877.5 2866 0.11119510090982554
"1919" 777487 136877.7 2870 777486 136877.7 2869 0.11119510161714974
"1919" 777490 136877.9 2873 777489 136877.9 2872 0.11119510090982554
"1919" 777497 136878.4 2880 777496 136878.4 2879 0.11119510090982554
"1919" 777500 136878.6 2883 777499 136878.6 2882 0.11119510161714974
"1919" 777509 136879.2 2892 777508 136879.2 2891 0.11119510090982554
"1919" 777512 136879.4 2895 777511 136879.4 2894 0.12752939825777979
"1919" 777515 136879.6 2898 777514 136879.6 2897 0.11119510161714974
"1919" 777524 136880.2 2907 777523 136880.2 2906 0.11119510161714974
"1919" 777528 136880.5 2911 777527 136880.5 2910 0.06244513630731429
"1919" 777534 136880.9 2917 777533 136880.9 2916 0.11119510161714974
"1919" 777537 136881.1 2920 777536 136881.1 2919 0.11119510090982554
"1919" 777540 136881.3 2923 777539 136881.3 2922 0.11119510090982554
"1919" 777549 136881.9 2932 777548 136881.9 2931 0.12752938095958766
"1919" 777552 136882.1 2935 777551 136882.1 2934 0.11119510161714974
"1919" 777563 136882.8 2946 777562 136882.8 2945 0.11119510161714974
"1919" 777568 136883.1 2951 777567 136883.1 2950 0.11119510161714974
"1919" 777576 136883.6 2959 777575 136883.6 2958 0.11119510090982554
"1919" 777581 136883.9 2964 777580 136883.9 2963 0.11119510090982554
"1919" 777594 136884.7 2977 777593 136884.7 2976 0.11119510161714974
"1919" 777596 136884.8 2979 777595 136884.8 2978 0.11119510090982554
"1919" 777599 136885.0 2982 777598 136885.0 2981 0.11119510161714974
"1919" 777607 136885.5 2990 777606 136885.5 2989 0.1275293557985862
"1919" 777609 136885.6 2992 777608 136885.6 2991 0.11119510161714974
"1919" 777612 136885.8 2995 777611 136885.8 2994 0.11119510090982554
"1919" 777614 136885.9 2997 777613 136885.9 2996 0.11119510232447394
"1919" 777620 136886.3 3003 777619 136886.3 3002 0.06244505260741443
"1919" 777625 136886.6 3008 777624 136886.6 3007 0.11119510161714974
"1919" 777627 136886.7 3010 777626 136886.7 3009 0.11119510090982554
"1919" 777630 136886.9 3013 777629 136886.9 3012 0.11119510090982554
"1919" 777632 136887.0 3015 777631 136887.0 3014 0.11119510090982554
"1919" 777638 136887.4 3021 777637 136887.4 3020 0.11119510090982554
"1919" 777640 136887.5 3023 777639 136887.5 3022 0.11119510161714974
"1919" 777643 136887.7 3026 777642 136887.7 3025 0.11119510090982554
"1919" 777645 136887.8 3028 777644 136887.8 3027 0.11119510161714974
"1919" 777656 136888.5 3039 777655 136888.5 3038 0.11119510161714974
"1919" 777658 136888.6 3041 777657 136888.6 3040 0.11119510090982554
"1919" 777661 136888.8 3044 777660 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 15653

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 15653 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" 3017972 350.5 28 3017971 350.5 27
"43541" 3017983 811.7 39 3017982 811.7 38
"43541" 3018022 1779.8 78 3018021 1779.8 77
"43541" 3018066 3184.3 122 3018065 3184.3 121
"43541" 3018099 4418.1 155 3018098 4418.1 154
"43541" 3018115 4854.6 171 3018114 4854.6 170
"43541" 3018164 6561.9 220 3018163 6561.9 219
"43541" 3018200 7544.1 256 3018199 7544.1 255
"43541" 3018239 8757.6 295 3018238 8757.6 294
"43541" 3018256 9358.6 312 3018255 9358.6 311
"43541" 3018283 9709.1 339 3018282 9709.1 338
"43541" 3018329 10376.7 385 3018328 10376.7 384
"43541" 3018382 11116.1 438 3018381 11116.1 437
"43541" 3018413 11700.4 469 3018412 11700.4 468
"43541" 3018444 12284.8 500 3018443 12284.8 499
"43541" 3018705 14358.7 761 3018704 14358.7 760
"43541" 3018781 14706.8 837 3018780 14706.8 836
"43541" 3018881 15301.6 937 3018880 15301.6 936
"43541" 3018981 15896.4 1037 3018980 15896.4 1036
"43541" 3019057 16244.5 1113 3019056 16244.5 1112
"43541" 3019255 17133.2 1311 3019254 17133.2 1310
"43541" 3019498 18161.9 1554 3019497 18161.9 1553
"43541" 3019523 18472.3 1579 3019522 18472.3 1578
"43541" 3019573 18976.3 1629 3019572 18976.3 1628
"43541" 3019720 19673.4 1776 3019719 19673.4 1775
"43541" 3019949 21285.9 2005 3019948 21285.9 2004
"43541" 3020025 22756.6 2081 3020024 22756.6 2080
"43541" 3020101 24227.3 2157 3020100 24227.3 2156
"43541" 3020140 24719.6 2196 3020139 24719.6 2195
"43541" 3020157 25292.2 2213 3020156 25292.2 2212
"43541" 3020176 25625.9 2232 3020175 25625.9 2231
"43541" 3020264 26736.7 2320 3020263 26736.7 2319
"43541" 3020351 27236.5 2407 3020350 27236.5 2406
"43541" 3020400 28436.1 2456 3020399 28436.1 2455
"43541" 3020439 28928.5 2495 3020438 28928.5 2494
"43541" 3020490 29639.4 2546 3020489 29639.4 2545
"43541" 3020721 30811.2 2777 3020720 30811.2 2776
"43541" 3020797 31159.3 2853 3020796 31159.3 2852
"43541" 3020897 31754.1 2953 3020896 31754.1 2952
"43541" 3020997 32348.9 3053 3020996 32348.9 3052
"43541" 3021073 32697.0 3129 3021072 32697.0 3128
"43541" 3021271 33585.6 3327 3021270 33585.6 3326
"43541" 3021555 35228.5 3611 3021554 35228.5 3610
"43541" 3021608 35967.9 3664 3021607 35967.9 3663
"43541" 3021639 36552.2 3695 3021638 36552.2 3694
"43541" 3021670 37136.6 3726 3021669 37136.6 3725
"42206" 3182130 20641.7 108 3182129 20641.7 107
"42206" 3182153 24205.9 131 3182152 24205.9 130
"43537" 3202427 310.3 26 3202426 310.3 25
"43537" 3202440 811.7 39 3202439 811.7 38
expired_calendar WARNING 68

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 68 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
7565 "13743"
1904 "73341"
3729 "2499"
1851 "1256"
1847 "1271"
7530 "1294"
13131 "24602"
2 "1339"
3726 "2685"
13128 "12709"
5638 "1379"
7556 "2737"
9427 "2766"
1867 "60347"
8 "1461"
9440 "47502"
11277 "2814"
7560 "2849"
7561 "2852"
9429 "2850"
5653 "2980"
9428 "2975"
3727 "2974"
11276 "2972"
9453 "60928"
9449 "60959"
7574 "47985"
13122 "1954"
3754 "60890"
11285 "20239"
13132 "20237"
13130 "17222"
11283 "31530"
9435 "17343"
23 "43774"
13117 "678"
7529 "973"
60 "76307"
11331 "76308"
61 "76309"
13125 "3000"
3728 "3012"
13133 "13033"
1858 "13105"
9490 "76816"
11 "2009"
13 "2022"
9445 "48071"
25 "48073"
fast_travel_between_consecutive_stops WARNING 2

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.
16641 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 215471 17 "99227" "Krekenava" "14:03:00" 215472 18 "99243" "Rabikiai" "14:03:00"
15555 "65_APNV_416-45-3-250526-ab-1310" "17220" 196.9887428340989 3.283145713901648 197161 17 "98468" "Krekenava" "14:03:00" 197162 18 "98476" "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.
17086 "2699" "7597198"
17167 "2699" "7597159"
17222 "2699" "7597158"
17301 "2699" "7597193"
17311 "2699" "7597175"
17330 "2699" "7597184"
17456 "2699" "7597162"
17680 "2699" "7597141"
17747 "2699" "7597154"
17797 "2699" "7597129"
17807 "2699" "7597153"
17846 "2699" "7597173"
17883 "2699" "7597126"
17915 "2699" "7597138"
18037 "2699" "7597178"
18172 "2699" "7597182"
18323 "2699" "7597149"
18545 "2699" "7597185"
18556 "2699" "7597205"
18566 "2699" "7597145"
18758 "2699" "7597161"
18774 "2699" "7597151"
18785 "2699" "7597197"
18921 "2699" "7597199"
18949 "2699" "7597200"
19101 "2699" "7597135"
19104 "2699" "7597165"
19162 "2699" "7597160"
19362 "2699" "7597180"
19527 "2699" "7597192"
19594 "2699" "7597167"
19597 "2699" "7597134"
19682 "2699" "7597206"
19687 "2699" "7597143"
19692 "2699" "7597190"
19726 "2699" "7597204"
19792 "2699" "7597142"
19812 "2699" "7597207"
19846 "2699" "7597021"
20198 "2699" "7597136"
20237 "2699" "7597164"
20242 "2699" "7597176"
20258 "2699" "7597137"
20305 "2699" "7597170"
20326 "2699" "7597211"
20353 "2699" "7597208"
20393 "2699" "7597187"
20423 "2699" "7597140"
20474 "2699" "7597191"
20478 "2699" "7597133"
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.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

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 1066

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 1066 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\"" 41
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 46
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 47
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 48
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 50
"routes.txt" "route_short_name" "1A_VLP" 211
"routes.txt" "route_short_name" "523_VLP" 212
"routes.txt" "route_short_name" "518_VLP" 219
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 222
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 223
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 226
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 229
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 258
"routes.txt" "route_short_name" "40-DT" 324
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 333
"routes.txt" "route_short_name" "2_VLP" 393
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 396
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 397
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 398
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 399
"routes.txt" "route_short_name" "94AT" 503
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 579
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 582
"routes.txt" "route_long_name" "JONAVA-KULVA" 586
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 645
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 650
"routes.txt" "route_short_name" "94-DC" 694
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 751
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 752
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 753
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 755
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 805
"routes.txt" "route_short_name" "2A_VLP" 915
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 917
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 931
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 975
"routes.txt" "route_short_name" "1_VLP" 1075
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1079
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 1080
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1085
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1122
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1150
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1155
"routes.txt" "route_short_name" "50AB" 1216
"routes.txt" "route_short_name" "787_VLP" 1262
"routes.txt" "route_short_name" "3_VLP" 1265
"routes.txt" "route_short_name" "4_VLP" 1267
"routes.txt" "route_short_name" "5_VLP" 1270
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1319
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1331
stop_too_far_from_shape WARNING 62

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 62 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.
20376 "3636" "45756" 3530 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22484 "3651" "45771" 3559 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17717 "3653" "45773" 3560 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22468 "43544" "8124133" 343665 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
20695 "43548" "8124139" 343703 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
17521 "26974" "7317010" 37002 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
17521 "26974" "7317010" 37003 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
17521 "26974" "7317010" 37018 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
6292 "47096" "57_1172-20260103" 393912 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
21670 "29329" "7418310" 44571 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
17296 "29328" "7418309" 44548 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
22104 "6003" "52856" 6512 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
17681 "6005" "52858" 6521 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19829 "6004" "52857" 6517 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
21001 "6007" "52859" 6528 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
18070 "6008" "52860" 6533 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
17475 "16822" "2392138" 20772 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
17461 "16821" "2392137" 20762 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
17326 "16823" "2392142" 20847 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
20523 "18654" "3218451" 23015 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
17516 "32206" "7476586" 50548 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
17516 "32206" "7476586" 50549 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
17516 "32206" "7476586" 50550 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
17516 "32206" "7476586" 50553 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
17516 "32206" "7476586" 50558 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
18110 "3899" "46086" 3668 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17822 "3014" "43694" 2693 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
7928 "37872" "61_49W" 71800 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
20731 "29420" "7429613" 45108 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19699 "4529" "46899" 4491 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21068 "4527" "47691" 5680 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21393 "4528" "47692" 5681 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20548 "14622" "7150733" 36091 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
19865 "2821" "45017" 3454 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18600 "29615" "7432118" 45618 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
20493 "29616" "7432119" 45666 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5855 "21886" "60_A2-02-1-241209-ba-0720" 71104 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
82 "21885" "60_A2-02-1-241209-ab-1910" 68439 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
14806 "21887" "60_A2-01-7-251110-ab3-1100" 345250 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
99 "21891" "60_A2-01-1-241209-ab2-1640" 70939 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
350 "21865" "60_A2-01-7-251110-b3a-0920" 344724 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
163 "21872" "60_A2-01-1-241209-b2a-0650" 68334 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
22080 "3339" "46943" 4492 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18223 "11705" "747606" 15159 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17389 "6511" "54507" 9135 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
20330 "6509" "54501" 9081 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
18413 "6513" "54509" 9159 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
22253 "29093" "7413977" 42388 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
21320 "29092" "7413975" 42344 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
17104 "5232" "48167" 5971 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
stops_match_shape_out_of_order WARNING 12

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.
21729 "3645" "57657" 11360 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11359 "12152" "Jonaičiai" [55.34641499999999,21.570023]
19110 "3667" "57730" 11499 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11498 "13926" "Jonaičiai" [55.346103,21.568929]
21261 "3714" "57736" 11573 "13926" "Jonaičiai" [55.346103,21.568929] 11572 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
17219 "13808" "1228372" 16890 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16889 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
19285 "28435" "7339430" 39866 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39865 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
22535 "28434" "7339429" 39842 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39841 "64820" "Suostas" [56.32837775901334,24.713656830174433]
21254 "6591" "57636" 11036 "13926" "Jonaičiai" [55.346103,21.568929] 11035 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
17938 "3554" "57639" 11076 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11075 "12152" "Jonaičiai" [55.34641499999999,21.570023]
18599 "29102" "7413991" 42468 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42467 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
22729 "40377" "8016002" 94537 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 94536 "97223" "Tarvydai I" [55.328604,21.56423]
18117 "40378" "8016003" 94546 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 94545 "97223" "Tarvydai I" [55.328604,21.56423]
19391 "5353" "57618" 10848 "13926" "Jonaičiai" [55.346103,21.568929] 10847 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
unknown_column INFO 33

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" "start_service_area_id" 1
"stop_times.txt" "end_service_area_id" 2
"stop_times.txt" "note_id" 5
"stop_times.txt" "to_stop_sequence" 16
"stop_times.txt" "route_short_name" 18
"stop_times.txt" "start_service_area_radius" 24
"stop_times.txt" "end_service_area_radius" 25
"stop_times.txt" "fare_period_id" 26
"stop_times.txt" "departure_buffer" 27
"stop_times.txt" "track" 28
"stop_times.txt" "mean_duration_factor" 29
"stop_times.txt" "mean_duration_offset" 30
"stop_times.txt" "safe_duration_factor" 31
"stop_times.txt" "safe_duration_offset" 32
"stop_times.txt" "free_running_flag" 33
"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