GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-06T06:07:21+03:00,
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: 52
  • Blocks: 0
  • Routes: 1589
  • Shapes: 4084
  • Stops: 14834
  • Trips: 22960

Specification Compliance report

123978 notices reported (0 errors, 123945 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 44

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`.
341 "20526" 342 "20527" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
349 "20484" 350 "20481" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
236 "6209" 354 "18329" "M1" "Alytus - Geniai" 3 "48"
333 "20469" 537 "20451" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
147 "20460" 539 "20463" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
148 "20511" 544 "20507" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
731 "20459" 732 "20458" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
734 "20503" 735 "20502" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
338 "20486" 736 "20485" "M-151" "Kaunas-Ramučiai" 3 "14"
336 "20472" 737 "20470" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
385 "20492" 777 "20489" "M-120" "Karmėlava-Ramučiai" 3 "14"
733 "20465" 917 "20461" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
538 "20452" 918 "20453" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
334 "20473" 919 "20479" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
542 "20471" 920 "20468" "M-156" "Kaunas - Neveronys" 3 "14"
340 "20509" 921 "20510" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
547 "20476" 922 "20491" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
343 "20474" 923 "20477" "M-168" "Vosiškiai-Babtai" 3 "14"
748 "20455" 935 "20456" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
924 "16052" 1009 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
1121 "20500" 1122 "20499" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
339 "20522" 1123 "20524" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
738 "20480" 1124 "20483" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
548 "20504" 1129 "20505" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
741 "20516" 1130 "20466" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
153 "20364" 1137 "20445" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
332 "20525" 1320 "20454" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
916 "20496" 1321 "20493" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
335 "20494" 1323 "20490" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
545 "20498" 1324 "20501" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
1119 "20508" 1325 "20506" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
461 "3645" 1508 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
1322 "20518" 1535 "20521" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
1131 "20495" 1536 "20497" "M-146" "Kaunas-Žiegždriai" 3 "14"
1120 "20475" 1537 "20478" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
337 "20450" 1538 "20457" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
541 "20512" 1539 "20514" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
543 "20520" 1540 "20523" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
1125 "20529" 1542 "20528" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
546 "20482" 1543 "20462" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
1545 "20467" 1546 "20464" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
1541 "20487" 1547 "20488" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
1132 "20517" 1548 "20519" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
1327 "20515" 1554 "20513" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4156

equal_shape_distance_diff_coordinates_distance_below_threshold

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

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

You can see more about this notice here.

Only the first 50 of 4156 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"3647" 503699 29882.7 878 503698 29882.7 877 0.12791084993239907
"2328" 411402 35929.8 642 411401 35929.8 641 0.11119510090982554
"3659" 498749 49657.5 1177 498748 49657.5 1176 0.12791084993239907
"42205" 3569606 57850.1 335 3569605 57850.1 334 0.06178544815632574
"2369" 400206 63265.5 1261 400205 63265.5 1260 0.11119510090982554
"2385" 609663 69168.3 1771 609662 69168.3 1770 0.06441976500794575
"28733" 2420768 71509.2 1569 2420767 71509.2 1568 0.06441976500794575
"1919" 772393 136875.8 2842 772392 136875.8 2841 0.12752942403551987
"1919" 772396 136876.0 2845 772395 136876.0 2844 0.11119510090982554
"1919" 772403 136876.5 2852 772402 136876.5 2851 0.11119510232447394
"1919" 772406 136876.7 2855 772405 136876.7 2854 0.11119510161714974
"1919" 772409 136876.9 2858 772408 136876.9 2857 0.12752941555597483
"1919" 772418 136877.5 2867 772417 136877.5 2866 0.11119510090982554
"1919" 772421 136877.7 2870 772420 136877.7 2869 0.11119510161714974
"1919" 772424 136877.9 2873 772423 136877.9 2872 0.11119510090982554
"1919" 772431 136878.4 2880 772430 136878.4 2879 0.11119510090982554
"1919" 772434 136878.6 2883 772433 136878.6 2882 0.11119510161714974
"1919" 772443 136879.2 2892 772442 136879.2 2891 0.11119510090982554
"1919" 772446 136879.4 2895 772445 136879.4 2894 0.12752939825777979
"1919" 772449 136879.6 2898 772448 136879.6 2897 0.11119510161714974
"1919" 772458 136880.2 2907 772457 136880.2 2906 0.11119510161714974
"1919" 772462 136880.5 2911 772461 136880.5 2910 0.06244513630731429
"1919" 772468 136880.9 2917 772467 136880.9 2916 0.11119510161714974
"1919" 772471 136881.1 2920 772470 136881.1 2919 0.11119510090982554
"1919" 772474 136881.3 2923 772473 136881.3 2922 0.11119510090982554
"1919" 772483 136881.9 2932 772482 136881.9 2931 0.12752938095958766
"1919" 772486 136882.1 2935 772485 136882.1 2934 0.11119510161714974
"1919" 772497 136882.8 2946 772496 136882.8 2945 0.11119510161714974
"1919" 772502 136883.1 2951 772501 136883.1 2950 0.11119510161714974
"1919" 772510 136883.6 2959 772509 136883.6 2958 0.11119510090982554
"1919" 772515 136883.9 2964 772514 136883.9 2963 0.11119510090982554
"1919" 772528 136884.7 2977 772527 136884.7 2976 0.11119510161714974
"1919" 772530 136884.8 2979 772529 136884.8 2978 0.11119510090982554
"1919" 772533 136885.0 2982 772532 136885.0 2981 0.11119510161714974
"1919" 772541 136885.5 2990 772540 136885.5 2989 0.1275293557985862
"1919" 772543 136885.6 2992 772542 136885.6 2991 0.11119510161714974
"1919" 772546 136885.8 2995 772545 136885.8 2994 0.11119510090982554
"1919" 772548 136885.9 2997 772547 136885.9 2996 0.11119510232447394
"1919" 772554 136886.3 3003 772553 136886.3 3002 0.06244505260741443
"1919" 772559 136886.6 3008 772558 136886.6 3007 0.11119510161714974
"1919" 772561 136886.7 3010 772560 136886.7 3009 0.11119510090982554
"1919" 772564 136886.9 3013 772563 136886.9 3012 0.11119510090982554
"1919" 772566 136887.0 3015 772565 136887.0 3014 0.11119510090982554
"1919" 772572 136887.4 3021 772571 136887.4 3020 0.11119510090982554
"1919" 772574 136887.5 3023 772573 136887.5 3022 0.11119510161714974
"1919" 772577 136887.7 3026 772576 136887.7 3025 0.11119510090982554
"1919" 772579 136887.8 3028 772578 136887.8 3027 0.11119510161714974
"1919" 772590 136888.5 3039 772589 136888.5 3038 0.11119510161714974
"1919" 772592 136888.6 3041 772591 136888.6 3040 0.11119510090982554
"1919" 772595 136888.8 3044 772594 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 19129

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 19129 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" 3333182 350.5 28 3333181 350.5 27
"43541" 3333193 811.7 39 3333192 811.7 38
"43541" 3333232 1779.8 78 3333231 1779.8 77
"43541" 3333276 3184.3 122 3333275 3184.3 121
"43541" 3333309 4418.1 155 3333308 4418.1 154
"43541" 3333325 4854.6 171 3333324 4854.6 170
"43541" 3333374 6561.9 220 3333373 6561.9 219
"43541" 3333410 7544.1 256 3333409 7544.1 255
"43541" 3333449 8757.6 295 3333448 8757.6 294
"43541" 3333466 9358.6 312 3333465 9358.6 311
"43541" 3333493 9709.1 339 3333492 9709.1 338
"43541" 3333539 10376.7 385 3333538 10376.7 384
"43541" 3333592 11116.1 438 3333591 11116.1 437
"43541" 3333623 11700.4 469 3333622 11700.4 468
"43541" 3333654 12284.8 500 3333653 12284.8 499
"43541" 3333915 14358.7 761 3333914 14358.7 760
"43541" 3333991 14706.8 837 3333990 14706.8 836
"43541" 3334091 15301.6 937 3334090 15301.6 936
"43541" 3334191 15896.4 1037 3334190 15896.4 1036
"43541" 3334267 16244.5 1113 3334266 16244.5 1112
"43541" 3334465 17133.2 1311 3334464 17133.2 1310
"43541" 3334708 18161.9 1554 3334707 18161.9 1553
"43541" 3334733 18472.3 1579 3334732 18472.3 1578
"43541" 3334783 18976.3 1629 3334782 18976.3 1628
"43541" 3334930 19673.4 1776 3334929 19673.4 1775
"43541" 3335159 21285.9 2005 3335158 21285.9 2004
"43541" 3335235 22756.6 2081 3335234 22756.6 2080
"43541" 3335311 24227.3 2157 3335310 24227.3 2156
"43541" 3335350 24719.6 2196 3335349 24719.6 2195
"43541" 3335367 25292.2 2213 3335366 25292.2 2212
"43541" 3335386 25625.9 2232 3335385 25625.9 2231
"43541" 3335474 26736.7 2320 3335473 26736.7 2319
"43541" 3335561 27236.5 2407 3335560 27236.5 2406
"43541" 3335610 28436.1 2456 3335609 28436.1 2455
"43541" 3335649 28928.5 2495 3335648 28928.5 2494
"43541" 3335700 29639.4 2546 3335699 29639.4 2545
"43541" 3335931 30811.2 2777 3335930 30811.2 2776
"43541" 3336007 31159.3 2853 3336006 31159.3 2852
"43541" 3336107 31754.1 2953 3336106 31754.1 2952
"43541" 3336207 32348.9 3053 3336206 32348.9 3052
"43541" 3336283 32697.0 3129 3336282 32697.0 3128
"43541" 3336481 33585.6 3327 3336480 33585.6 3326
"43541" 3336765 35228.5 3611 3336764 35228.5 3610
"43541" 3336818 35967.9 3664 3336817 35967.9 3663
"43541" 3336849 36552.2 3695 3336848 36552.2 3694
"43541" 3336880 37136.6 3726 3336879 37136.6 3725
"43531" 2268359 1036.1 44 2268358 1036.1 43
"43531" 2268388 1669.1 73 2268387 1669.1 72
"43531" 2268415 2285.2 100 2268414 2285.2 99
"43531" 2268456 4091.8 141 2268455 4091.8 140
expired_calendar WARNING 64

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 64 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3105 "73341"
3058 "1256"
3054 "1271"
12456 "1294"
21614 "24601"
2 "1339"
21606 "12709"
9307 "1379"
9 "1461"
21600 "1954"
18561 "20239"
21609 "20237"
21608 "17222"
15556 "17343"
44 "76307"
18592 "76308"
45 "76309"
21610 "13033"
3067 "13105"
15590 "76816"
12 "2009"
14 "2022"
12474 "2066"
9320 "2111"
15547 "2123"
12476 "2137"
12516 "62494"
6155 "2158"
6158 "2175"
6160 "2173"
18546 "2206"
6161 "2205"
12478 "2218"
15545 "2217"
18549 "2216"
15541 "2213"
21599 "2224"
9323 "2285"
12491 "13743"
6165 "2499"
6162 "2685"
12482 "2737"
15548 "2766"
15561 "47502"
18553 "2814"
12486 "2849"
12487 "2852"
15550 "2850"
9322 "2980"
fast_travel_between_consecutive_stops WARNING 1

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

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

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
22418 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 177179 17 "99227" "Krekenava" "14:03:00" 177180 18 "99243" "Rabikiai" "14:03:00"
missing_bike_allowance WARNING 118

missing_bike_allowance

Ferry trips should include bike allowance information.

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

You can see more about this notice here.

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

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
271 "2699" "7597174"
281 "2699" "7597139"
373 "2699" "7597192"
457 "2699" "7597167"
461 "2699" "7597134"
470 "2699" "7597206"
476 "2699" "7597143"
487 "2699" "7597190"
523 "2699" "7597204"
575 "2699" "7597142"
603 "2699" "7597207"
644 "2699" "7597021"
735 "2699" "7597198"
809 "2699" "7597184"
1004 "2699" "7597141"
1032 "2699" "7597182"
1129 "2699" "7597126"
1165 "2699" "7597138"
1330 "2699" "7597199"
1365 "2699" "7597200"
1444 "2699" "7597135"
1449 "2699" "7597165"
1513 "2699" "7597160"
1665 "2699" "7597180"
1710 "2699" "7597154"
1836 "2699" "7597178"
1951 "2699" "7597149"
2067 "2699" "7597193"
2076 "2699" "7597175"
2192 "2699" "7597129"
2203 "2699" "7597153"
2255 "2699" "7597173"
2537 "2699" "7597185"
2546 "2699" "7597205"
2557 "2699" "7597145"
2742 "2699" "7597161"
2762 "2699" "7597151"
2772 "2699" "7597197"
2799 "2699" "7597159"
2859 "2699" "7597158"
2915 "2699" "7597162"
7530 "2699" "7597191"
7535 "2699" "7597133"
7610 "2699" "7597147"
7635 "2699" "7597189"
7653 "2699" "7597195"
7679 "2699" "7597171"
7743 "2699" "7597132"
7866 "2699" "7597196"
7890 "2699" "7597144"
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 367

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 367 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\"" 52
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 128
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 151
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 152
"routes.txt" "route_short_name" "3_VLP" 185
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 217
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 221
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 277
"routes.txt" "route_short_name" "40-DT" 303
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 353
"routes.txt" "route_short_name" "5_VLP" 400
"routes.txt" "route_short_name" "94AT" 448
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 551
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 553
"routes.txt" "route_short_name" "2_VLP" 598
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 631
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 638
"routes.txt" "route_short_name" "94-DC" 683
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 708
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 746
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 749
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 750
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 751
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 752
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 801
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 929
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 937
"routes.txt" "route_long_name" "JONAVA-KULVA" 938
"routes.txt" "route_short_name" "70AC" 947
"routes.txt" "route_short_name" "4_VLP" 968
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 986
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 991
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1072
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1134
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1135
"routes.txt" "route_short_name" "1A_VLP" 1179
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1185
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1202
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1204
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1242
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1244
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1286
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1326
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1328
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1329
"routes.txt" "route_short_name" "50AB" 1355
"routes.txt" "route_short_name" "2A_VLP" 1375
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1383
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1425
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1441
stop_too_far_from_shape WARNING 51

stop_too_far_from_shape

Stop too far from trip shape.

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

You can see more about this notice here.

Only the first 50 of 51 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
10052 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9457 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2997 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9439 "43544" "8124133" 226372 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
7672 "43548" "8124139" 226410 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
1082 "26974" "7317012" 39206 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
1082 "26974" "7317012" 39207 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
1082 "26974" "7317012" 39222 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
1453 "16822" "2392140" 25176 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
1425 "16821" "2392136" 25120 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
805 "16823" "2392142" 25215 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
10218 "18654" "3218451" 28351 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
124 "32206" "7476583" 50577 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
124 "32206" "7476583" 50578 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
124 "32206" "7476583" 50579 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
124 "32206" "7476583" 50582 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
124 "32206" "7476583" 50587 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
2349 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2226 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
7714 "29420" "7429613" 45378 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
497 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7948 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
130 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9723 "14622" "7150732" 38141 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
666 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2602 "29615" "7432118" 45786 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
7554 "29616" "7432119" 45834 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5142 "21886" "60_A2-02-1-241209-ba-1520" 71388 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
13150 "21885" "60_A2-02-6-060404-ab-1740" 419637 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
13110 "21887" "60_A2-01-7-060404-ab3-1100" 421216 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
13121 "21891" "60_A2-01-7-060404-ab2-0730" 421068 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
13011 "21865" "60_A2-01-7-060404-b3a-1150" 420064 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
13125 "21872" "60_A2-02-6-060404-b2a-2020" 420330 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
8948 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
341 "4710" "47248" 4648 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
8471 "4711" "47250" 4661 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
1101 "11705" "747606" 18268 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
888 "6511" "54507" 10612 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
7717 "6509" "54502" 10573 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2478 "6513" "54509" 10636 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
9187 "29093" "7413977" 42983 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
49 "29092" "7413975" 42939 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
404 "5232" "48166" 5825 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
684 "44681" "8136900" 230575 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
374 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1552 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
685 "17131" "2515701" 25618 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
2136 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1743 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1891 "15331" "2211798" 22384 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 14

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.
8335 "3645" "57657" 14619 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14618 "12152" "Jonaičiai" [55.34641499999999,21.570023]
1455 "3667" "57730" 14758 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14757 "13926" "Jonaičiai" [55.346103,21.568929]
8057 "3714" "57736" 14832 "13926" "Jonaičiai" [55.346103,21.568929] 14831 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
2855 "13808" "1228372" 21052 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21051 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
8031 "26489" "7231018" 38734 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38733 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
8120 "35668" "7652364" 62283 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 62282 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
1627 "28435" "7339430" 40633 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40632 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
9699 "28434" "7339429" 40609 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40608 "64820" "Suostas" [56.32837775901334,24.713656830174433]
8049 "6591" "57636" 14295 "13926" "Jonaičiai" [55.346103,21.568929] 14294 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
1189 "3554" "57639" 14335 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14334 "12152" "Jonaičiai" [55.34641499999999,21.570023]
2601 "29102" "7413991" 43063 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43062 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
9919 "40377" "8016002" 94167 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 94166 "97223" "Tarvydai I" [55.328604,21.56423]
2355 "40378" "8016003" 94176 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 94175 "97223" "Tarvydai I" [55.328604,21.56423]
307 "5353" "57618" 14107 "13926" "Jonaičiai" [55.346103,21.568929] 14106 "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