GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-01-26T08:24:33+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: 1415
  • Shapes: 3723
  • Stops: 13627
  • Trips: 22908

Specification Compliance report

121428 notices reported (0 errors, 121395 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`.
334 "18849" 336 "18848" "M-156" "Kaunas - Neveronys" 3 "14"
141 "18835" 337 "18837" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
342 "18894" 343 "18893" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
151 "18897" 346 "18901" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
250 "6209" 361 "18329" "M1" "Alytus - Geniai" 3 "48"
139 "18829" 524 "18826" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
140 "18828" 525 "18827" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
339 "18884" 527 "18885" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
143 "18900" 528 "18905" "M-101A" "Kauno pilis-Šilainiai-Giraitė-Užliedžiai" 3 "14"
335 "18847" 678 "18850" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
142 "18881" 680 "18880" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
340 "18871" 681 "18870" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
144 "18839" 682 "18844" "M-101" "Kauno pilis-Giraitė-Užliedžiai" 3 "14"
345 "18845" 688 "18846" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
152 "18898" 690 "18896" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
533 "18876" 691 "18886" "M-168" "Kaunas-Giraitė-Užliedžiai-Babtai-Vosiškiai" 3 "14"
529 "18832" 851 "18833" "M-168" "Kaunas-Šilainiai-Giraitė-Užliedžiai" 3 "14"
684 "18899" 859 "18895" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
692 "18851" 860 "18852" "M-120" "Karmėlava-Ramučiai" 3 "14"
857 "16052" 970 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
1021 "18882" 1022 "18883" "M-146" "Kaunas-Žiegždriai" 3 "14"
526 "18843" 1023 "18841" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
338 "18866" 1024 "18872" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
849 "18873" 1025 "18874" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
683 "18879" 1026 "18878" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
531 "18825" 1027 "18834" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
685 "18861" 1028 "18860" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
854 "18887" 1032 "18888" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
534 "18869" 1038 "18868" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
149 "18856" 1208 "18853" "M-168" "Vosiškiai-Babtai" 3 "14"
855 "18854" 1209 "18855" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
532 "18838" 1210 "18836" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
1035 "18830" 1211 "18831" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
150 "18857" 1212 "18863" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
1033 "18865" 1213 "18867" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
1037 "18842" 1214 "18840" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
1039 "18864" 1215 "18862" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
415 "3645" 1252 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
850 "18891" 1387 "18890" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
530 "18875" 1388 "18877" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
344 "18889" 1390 "18892" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
1034 "18906" 1391 "18902" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
1036 "18903" 1393 "18904" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
1396 "18859" 1397 "18858" "M-151" "Kaunas-Ramučiai" 3 "14"
357 "18822" 1398 "18790" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
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" 506639 29882.7 878 506638 29882.7 877 0.12791084993239907
"2328" 411457 35929.8 642 411456 35929.8 641 0.11119510090982554
"3659" 501689 49657.5 1177 501688 49657.5 1176 0.12791084993239907
"42205" 3295862 57850.1 335 3295861 57850.1 334 0.06178544815632574
"2369" 396706 63265.5 1261 396705 63265.5 1260 0.11119510090982554
"2385" 611711 69168.3 1771 611710 69168.3 1770 0.06441976500794575
"28733" 2306439 71509.2 1569 2306438 71509.2 1568 0.06441976500794575
"1919" 778422 136875.8 2842 778421 136875.8 2841 0.12752942403551987
"1919" 778425 136876.0 2845 778424 136876.0 2844 0.11119510090982554
"1919" 778432 136876.5 2852 778431 136876.5 2851 0.11119510232447394
"1919" 778435 136876.7 2855 778434 136876.7 2854 0.11119510161714974
"1919" 778438 136876.9 2858 778437 136876.9 2857 0.12752941555597483
"1919" 778447 136877.5 2867 778446 136877.5 2866 0.11119510090982554
"1919" 778450 136877.7 2870 778449 136877.7 2869 0.11119510161714974
"1919" 778453 136877.9 2873 778452 136877.9 2872 0.11119510090982554
"1919" 778460 136878.4 2880 778459 136878.4 2879 0.11119510090982554
"1919" 778463 136878.6 2883 778462 136878.6 2882 0.11119510161714974
"1919" 778472 136879.2 2892 778471 136879.2 2891 0.11119510090982554
"1919" 778475 136879.4 2895 778474 136879.4 2894 0.12752939825777979
"1919" 778478 136879.6 2898 778477 136879.6 2897 0.11119510161714974
"1919" 778487 136880.2 2907 778486 136880.2 2906 0.11119510161714974
"1919" 778491 136880.5 2911 778490 136880.5 2910 0.06244513630731429
"1919" 778497 136880.9 2917 778496 136880.9 2916 0.11119510161714974
"1919" 778500 136881.1 2920 778499 136881.1 2919 0.11119510090982554
"1919" 778503 136881.3 2923 778502 136881.3 2922 0.11119510090982554
"1919" 778512 136881.9 2932 778511 136881.9 2931 0.12752938095958766
"1919" 778515 136882.1 2935 778514 136882.1 2934 0.11119510161714974
"1919" 778526 136882.8 2946 778525 136882.8 2945 0.11119510161714974
"1919" 778531 136883.1 2951 778530 136883.1 2950 0.11119510161714974
"1919" 778539 136883.6 2959 778538 136883.6 2958 0.11119510090982554
"1919" 778544 136883.9 2964 778543 136883.9 2963 0.11119510090982554
"1919" 778557 136884.7 2977 778556 136884.7 2976 0.11119510161714974
"1919" 778559 136884.8 2979 778558 136884.8 2978 0.11119510090982554
"1919" 778562 136885.0 2982 778561 136885.0 2981 0.11119510161714974
"1919" 778570 136885.5 2990 778569 136885.5 2989 0.1275293557985862
"1919" 778572 136885.6 2992 778571 136885.6 2991 0.11119510161714974
"1919" 778575 136885.8 2995 778574 136885.8 2994 0.11119510090982554
"1919" 778577 136885.9 2997 778576 136885.9 2996 0.11119510232447394
"1919" 778583 136886.3 3003 778582 136886.3 3002 0.06244505260741443
"1919" 778588 136886.6 3008 778587 136886.6 3007 0.11119510161714974
"1919" 778590 136886.7 3010 778589 136886.7 3009 0.11119510090982554
"1919" 778593 136886.9 3013 778592 136886.9 3012 0.11119510090982554
"1919" 778595 136887.0 3015 778594 136887.0 3014 0.11119510090982554
"1919" 778601 136887.4 3021 778600 136887.4 3020 0.11119510090982554
"1919" 778603 136887.5 3023 778602 136887.5 3022 0.11119510161714974
"1919" 778606 136887.7 3026 778605 136887.7 3025 0.11119510090982554
"1919" 778608 136887.8 3028 778607 136887.8 3027 0.11119510161714974
"1919" 778619 136888.5 3039 778618 136888.5 3038 0.11119510161714974
"1919" 778621 136888.6 3041 778620 136888.6 3040 0.11119510090982554
"1919" 778624 136888.8 3044 778623 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 15871

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 15871 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" 3025323 350.5 28 3025322 350.5 27
"43541" 3025334 811.7 39 3025333 811.7 38
"43541" 3025373 1779.8 78 3025372 1779.8 77
"43541" 3025417 3184.3 122 3025416 3184.3 121
"43541" 3025450 4418.1 155 3025449 4418.1 154
"43541" 3025466 4854.6 171 3025465 4854.6 170
"43541" 3025515 6561.9 220 3025514 6561.9 219
"43541" 3025551 7544.1 256 3025550 7544.1 255
"43541" 3025590 8757.6 295 3025589 8757.6 294
"43541" 3025607 9358.6 312 3025606 9358.6 311
"43541" 3025634 9709.1 339 3025633 9709.1 338
"43541" 3025680 10376.7 385 3025679 10376.7 384
"43541" 3025733 11116.1 438 3025732 11116.1 437
"43541" 3025764 11700.4 469 3025763 11700.4 468
"43541" 3025795 12284.8 500 3025794 12284.8 499
"43541" 3026056 14358.7 761 3026055 14358.7 760
"43541" 3026132 14706.8 837 3026131 14706.8 836
"43541" 3026232 15301.6 937 3026231 15301.6 936
"43541" 3026332 15896.4 1037 3026331 15896.4 1036
"43541" 3026408 16244.5 1113 3026407 16244.5 1112
"43541" 3026606 17133.2 1311 3026605 17133.2 1310
"43541" 3026849 18161.9 1554 3026848 18161.9 1553
"43541" 3026874 18472.3 1579 3026873 18472.3 1578
"43541" 3026924 18976.3 1629 3026923 18976.3 1628
"43541" 3027071 19673.4 1776 3027070 19673.4 1775
"43541" 3027300 21285.9 2005 3027299 21285.9 2004
"43541" 3027376 22756.6 2081 3027375 22756.6 2080
"43541" 3027452 24227.3 2157 3027451 24227.3 2156
"43541" 3027491 24719.6 2196 3027490 24719.6 2195
"43541" 3027508 25292.2 2213 3027507 25292.2 2212
"43541" 3027527 25625.9 2232 3027526 25625.9 2231
"43541" 3027615 26736.7 2320 3027614 26736.7 2319
"43541" 3027702 27236.5 2407 3027701 27236.5 2406
"43541" 3027751 28436.1 2456 3027750 28436.1 2455
"43541" 3027790 28928.5 2495 3027789 28928.5 2494
"43541" 3027841 29639.4 2546 3027840 29639.4 2545
"43541" 3028072 30811.2 2777 3028071 30811.2 2776
"43541" 3028148 31159.3 2853 3028147 31159.3 2852
"43541" 3028248 31754.1 2953 3028247 31754.1 2952
"43541" 3028348 32348.9 3053 3028347 32348.9 3052
"43541" 3028424 32697.0 3129 3028423 32697.0 3128
"43541" 3028622 33585.6 3327 3028621 33585.6 3326
"43541" 3028906 35228.5 3611 3028905 35228.5 3610
"43541" 3028959 35967.9 3664 3028958 35967.9 3663
"43541" 3028990 36552.2 3695 3028989 36552.2 3694
"43541" 3029021 37136.6 3726 3029020 37136.6 3725
"42206" 3296033 20641.7 108 3296032 20641.7 107
"42206" 3296056 24205.9 131 3296055 24205.9 130
"43537" 3306307 310.3 26 3306306 310.3 25
"43537" 3306320 811.7 39 3306319 811.7 38
expired_calendar WARNING 67

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 67 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
8278 "13743"
2080 "73341"
4080 "2499"
2027 "1256"
2023 "1271"
8243 "1294"
14339 "24602"
2 "1339"
4077 "2685"
14336 "12709"
6174 "1379"
8269 "2737"
10306 "2766"
2043 "60347"
8 "1461"
10319 "47502"
12331 "2814"
8273 "2849"
8274 "2852"
10308 "2850"
6189 "2980"
10307 "2975"
4078 "2974"
12330 "2972"
10332 "60928"
10328 "60959"
8287 "47985"
14330 "1954"
4105 "60890"
12339 "20239"
14340 "20237"
14338 "17222"
12337 "31530"
10314 "17343"
23 "43774"
14325 "678"
8242 "973"
60 "76307"
12385 "76308"
61 "76309"
14333 "3000"
4079 "3012"
14341 "13033"
2034 "13105"
10369 "76816"
11 "2009"
13 "2022"
10324 "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.
10974 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 215384 17 "99227" "Krekenava" "14:03:00" 215385 18 "99243" "Rabikiai" "14:03:00"
1193 "65_APNV_416-45-3-250526-ab-1310" "17220" 196.9887428340989 3.283145713901648 197074 17 "98468" "Krekenava" "14:03:00" 197075 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.
1522 "2699" "7597210"
1528 "2699" "7597201"
1529 "2699" "7597172"
1570 "2699" "7597164"
1575 "2699" "7597176"
1591 "2699" "7597137"
1640 "2699" "7597170"
1671 "2699" "7597140"
1706 "2699" "7597147"
1772 "2699" "7597130"
1809 "2699" "7597191"
1813 "2699" "7597133"
1904 "2699" "7597196"
1924 "2699" "7597144"
2112 "2699" "7597155"
2149 "2699" "7597146"
2424 "2699" "7597188"
2427 "2699" "7597203"
2433 "2699" "7597157"
2551 "2699" "7597127"
2610 "2699" "7597166"
2652 "2699" "7597177"
2699 "2699" "7597202"
2759 "2699" "7597125"
2829 "2699" "7597181"
2852 "2699" "7597150"
2932 "2699" "7597128"
2948 "2699" "7597186"
2984 "2699" "7597021"
3053 "2699" "7597136"
3087 "2699" "7597211"
3116 "2699" "7597208"
3180 "2699" "7597149"
3256 "2699" "7597198"
3323 "2699" "7597184"
3359 "2699" "7597187"
3394 "2699" "7597156"
3449 "2699" "7597193"
3460 "2699" "7597175"
3593 "2699" "7597209"
3624 "2699" "7597189"
3639 "2699" "7597195"
3660 "2699" "7597171"
3744 "2699" "7597129"
3752 "2699" "7597153"
3836 "2699" "7597141"
3864 "2699" "7597182"
3895 "2699" "7597132"
4023 "2699" "7597173"
4171 "2699" "7597126"
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-KĖDAINIAI" 153
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 154
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 155
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 159
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 288
"routes.txt" "route_short_name" "40-DT" 315
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 322
"routes.txt" "route_short_name" "1A_VLP" 332
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 351
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 352
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 353
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 360
"routes.txt" "route_short_name" "523_VLP" 371
"routes.txt" "route_short_name" "518_VLP" 372
"routes.txt" "route_short_name" "2_VLP" 379
"routes.txt" "route_short_name" "94AT" 519
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 536
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 537
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 539
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 540
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 567
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 573
"routes.txt" "route_short_name" "94-DC" 597
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 694
"routes.txt" "route_long_name" "JONAVA-KULVA" 695
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 697
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 764
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 863
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 865
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 866
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 869
"routes.txt" "route_short_name" "2A_VLP" 886
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 935
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 968
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 1041
"routes.txt" "route_short_name" "1_VLP" 1064
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1080
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1116
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1121
"routes.txt" "route_short_name" "50AB" 1133
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1157
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1216
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 1220
"routes.txt" "route_short_name" "4_VLP" 1240
"routes.txt" "route_short_name" "5_VLP" 1245
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1257
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1273
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1307
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1308
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.
3342 "3636" "45756" 3529 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
6493 "3651" "45771" 3558 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
6090 "3653" "45773" 3559 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
6477 "43544" "8124133" 343578 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
3653 "43548" "8124139" 343616 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
1779 "26974" "7317014" 37045 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
1779 "26974" "7317014" 37046 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
1779 "26974" "7317014" 37061 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
11909 "47096" "57_1169-20260103" 398292 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
2293 "29329" "7418310" 44546 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
3444 "29328" "7418309" 44523 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5706 "6003" "52856" 6511 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
3837 "6005" "52858" 6520 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2968 "6004" "52857" 6516 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2928 "6007" "52859" 6527 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4065 "6008" "52860" 6532 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
5359 "16822" "2392140" 20807 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
2779 "16821" "2392135" 20741 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
3319 "16823" "2392142" 20846 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
3400 "18654" "3218451" 23014 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
2096 "32206" "7476585" 50498 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
2096 "32206" "7476585" 50499 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
2096 "32206" "7476585" 50500 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
2096 "32206" "7476585" 50503 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
2096 "32206" "7476585" 50508 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
4210 "3899" "46086" 3667 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3766 "3014" "43694" 2692 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
11362 "37872" "61_49W" 71713 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
3875 "29420" "7429613" 45083 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
6462 "4529" "46899" 4490 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1970 "4527" "47691" 5679 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4811 "4528" "47692" 5680 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2732 "14622" "7150732" 36051 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
3003 "2821" "45017" 3453 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4690 "29615" "7432118" 45593 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
1828 "29616" "7432119" 45641 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
8562 "21886" "60_A4-01-6-251110-ba-0730" 345895 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
601 "21885" "60_A30-01-7-251110-ab-1650" 344615 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
942 "21887" "60_A2-01-7-251110-ab3-1430" 344840 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
953 "21891" "60_A2-01-7-251110-ab2-0730" 344917 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7029 "21865" "60_A2-01-7-251110-b3a-1150" 346749 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
612 "21872" "60_A2-01-6-251110-b2a-0930" 345505 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
5682 "3339" "46943" 4491 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4148 "11705" "747606" 15158 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3560 "6511" "54507" 9134 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3093 "6509" "54501" 9080 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4434 "6513" "54509" 9158 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2761 "29093" "7413976" 42349 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
4735 "29092" "7413975" 42319 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
1730 "5232" "48165" 5954 "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.
5267 "3645" "57657" 11359 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11358 "12152" "Jonaičiai" [55.34641499999999,21.570023]
5361 "3667" "57730" 11498 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11497 "13926" "Jonaičiai" [55.346103,21.568929]
2063 "3714" "57736" 11572 "13926" "Jonaičiai" [55.346103,21.568929] 11571 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
5780 "13808" "1228372" 16889 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16888 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
5899 "28435" "7339430" 39841 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39840 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
2715 "28434" "7339429" 39817 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39816 "64820" "Suostas" [56.32837775901334,24.713656830174433]
2058 "6591" "57636" 11035 "13926" "Jonaičiai" [55.346103,21.568929] 11034 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
4340 "3554" "57639" 11075 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11074 "12152" "Jonaičiai" [55.34641499999999,21.570023]
4689 "29102" "7413991" 42443 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42442 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
2819 "40377" "8016002" 94450 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 94449 "97223" "Tarvydai I" [55.328604,21.56423]
4217 "40378" "8016003" 94459 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 94458 "97223" "Tarvydai I" [55.328604,21.56423]
2603 "5353" "57623" 10881 "13926" "Jonaičiai" [55.346103,21.568929] 10880 "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