GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-05-13T06:11:01+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: 53
  • Blocks: 0
  • Routes: 1671
  • Shapes: 4355
  • Stops: 15843
  • Trips: 30276

Specification Compliance report

124996 notices reported (0 errors, 124963 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 43

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`.
35 "21118" 38 "21121" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
45 "21141" 46 "21148" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
248 "21142" 249 "21144" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
43 "21189" 253 "21190" "M-151" "Kaunas-Ramučiai" 3 "14"
255 "21183" 256 "21187" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
239 "18329" 364 "6209" "M1" "Alytus - Geniai" 3 "48"
187 "21168" 398 "21166" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
394 "21120" 400 "21129" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
429 "21193" 430 "21191" "M-120" "Karmėlava-Ramučiai" 3 "14"
251 "21126" 463 "21123" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
465 "21147" 466 "21143" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
396 "21114" 467 "21116" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
247 "21135" 469 "21137" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
33 "21180" 474 "21177" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
470 "21150" 675 "21152" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
37 "21132" 870 "21131" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
39 "21161" 875 "21174" "M-156" "Kaunas - Neveronys" 3 "14"
44 "21119" 879 "21117" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
395 "21122" 1004 "21125" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
397 "21170" 1005 "21173" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
468 "21175" 1065 "21171" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
874 "21160" 1066 "21157" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
876 "21192" 1067 "21179" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
252 "21124" 1070 "21127" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
878 "21184" 1071 "21182" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
254 "21155" 1072 "21158" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
471 "21130" 1073 "21128" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
40 "21162" 1075 "21164" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
858 "16052" 1094 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
803 "21159" 1218 "21156" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
189 "21149" 1220 "21115" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
1074 "21133" 1275 "21139" "M-180" "Kaunas-Aleksotas-Tabariškiai-Girininkai" 3 "14"
802 "21165" 1407 "21163" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
186 "21136" 1411 "21134" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
36 "21167" 1489 "21169" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
871 "21146" 1490 "21145" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
872 "21172" 1491 "21154" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
1492 "21153" 1493 "21151" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
880 "21176" 1495 "21185" "M-166" "Kaunas-Kačerginė-Zapyškis-SB\"Baldininkas\"" 3 "14"
882 "21181" 1496 "21178" "M-168" "Vosiškiai-Babtai" 3 "14"
473 "21138" 1497 "21140" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
492 "3645" 1535 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
1217 "21186" 1648 "21188" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 3903

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 3903 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" 489471 29882.7 878 489470 29882.7 877 0.12791084993239907
"2328" 405401 35929.8 642 405400 35929.8 641 0.11119510090982554
"3659" 484521 49657.5 1177 484520 49657.5 1176 0.12791084993239907
"42205" 3654510 57850.1 335 3654509 57850.1 334 0.06178544815632574
"2369" 399052 63265.5 1261 399051 63265.5 1260 0.11119510090982554
"2385" 595435 69168.3 1771 595434 69168.3 1770 0.06441976500794575
"28733" 2323314 71509.2 1569 2323313 71509.2 1568 0.06441976500794575
"1919" 731286 136875.8 2842 731285 136875.8 2841 0.12752942403551987
"1919" 731289 136876.0 2845 731288 136876.0 2844 0.11119510090982554
"1919" 731296 136876.5 2852 731295 136876.5 2851 0.11119510232447394
"1919" 731299 136876.7 2855 731298 136876.7 2854 0.11119510161714974
"1919" 731302 136876.9 2858 731301 136876.9 2857 0.12752941555597483
"1919" 731311 136877.5 2867 731310 136877.5 2866 0.11119510090982554
"1919" 731314 136877.7 2870 731313 136877.7 2869 0.11119510161714974
"1919" 731317 136877.9 2873 731316 136877.9 2872 0.11119510090982554
"1919" 731324 136878.4 2880 731323 136878.4 2879 0.11119510090982554
"1919" 731327 136878.6 2883 731326 136878.6 2882 0.11119510161714974
"1919" 731336 136879.2 2892 731335 136879.2 2891 0.11119510090982554
"1919" 731339 136879.4 2895 731338 136879.4 2894 0.12752939825777979
"1919" 731342 136879.6 2898 731341 136879.6 2897 0.11119510161714974
"1919" 731351 136880.2 2907 731350 136880.2 2906 0.11119510161714974
"1919" 731355 136880.5 2911 731354 136880.5 2910 0.06244513630731429
"1919" 731361 136880.9 2917 731360 136880.9 2916 0.11119510161714974
"1919" 731364 136881.1 2920 731363 136881.1 2919 0.11119510090982554
"1919" 731367 136881.3 2923 731366 136881.3 2922 0.11119510090982554
"1919" 731376 136881.9 2932 731375 136881.9 2931 0.12752938095958766
"1919" 731379 136882.1 2935 731378 136882.1 2934 0.11119510161714974
"1919" 731390 136882.8 2946 731389 136882.8 2945 0.11119510161714974
"1919" 731395 136883.1 2951 731394 136883.1 2950 0.11119510161714974
"1919" 731403 136883.6 2959 731402 136883.6 2958 0.11119510090982554
"1919" 731408 136883.9 2964 731407 136883.9 2963 0.11119510090982554
"1919" 731421 136884.7 2977 731420 136884.7 2976 0.11119510161714974
"1919" 731423 136884.8 2979 731422 136884.8 2978 0.11119510090982554
"1919" 731426 136885.0 2982 731425 136885.0 2981 0.11119510161714974
"1919" 731434 136885.5 2990 731433 136885.5 2989 0.1275293557985862
"1919" 731436 136885.6 2992 731435 136885.6 2991 0.11119510161714974
"1919" 731439 136885.8 2995 731438 136885.8 2994 0.11119510090982554
"1919" 731441 136885.9 2997 731440 136885.9 2996 0.11119510232447394
"1919" 731447 136886.3 3003 731446 136886.3 3002 0.06244505260741443
"1919" 731452 136886.6 3008 731451 136886.6 3007 0.11119510161714974
"1919" 731454 136886.7 3010 731453 136886.7 3009 0.11119510090982554
"1919" 731457 136886.9 3013 731456 136886.9 3012 0.11119510090982554
"1919" 731459 136887.0 3015 731458 136887.0 3014 0.11119510090982554
"1919" 731465 136887.4 3021 731464 136887.4 3020 0.11119510090982554
"1919" 731467 136887.5 3023 731466 136887.5 3022 0.11119510161714974
"1919" 731470 136887.7 3026 731469 136887.7 3025 0.11119510090982554
"1919" 731472 136887.8 3028 731471 136887.8 3027 0.11119510161714974
"1919" 731483 136888.5 3039 731482 136888.5 3038 0.11119510161714974
"1919" 731485 136888.6 3041 731484 136888.6 3040 0.11119510090982554
"1919" 731488 136888.8 3044 731487 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 20396

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 20396 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`.
"55560" 3337107 25.8 3 3337106 25.8 2
"55560" 3337148 2388.3 44 3337147 2388.3 43
"55560" 3337160 3182.6 56 3337159 3182.6 55
"55560" 3337164 3262.5 60 3337163 3262.5 59
"55560" 3337219 5428.3 115 3337218 5428.3 114
"55560" 3337228 5767.2 124 3337227 5767.2 123
"55560" 3337230 5959.5 126 3337229 5959.5 125
"55560" 3337233 6072.2 129 3337232 6072.2 128
"55560" 3337253 7328.9 149 3337252 7328.9 148
"55560" 3337288 9433.5 184 3337287 9433.5 183
"55560" 3337303 10146.9 199 3337302 10146.9 198
"55560" 3337324 11247.0 220 3337323 11247.0 219
"55560" 3337328 11334.1 224 3337327 11334.1 223
"55560" 3337378 14027.0 274 3337377 14027.0 273
"55560" 3337391 14822.5 287 3337390 14822.5 286
"55560" 3337416 16299.5 312 3337415 16299.5 311
"55560" 3337444 17487.3 340 3337443 17487.3 339
"55560" 3337482 19123.6 378 3337481 19123.6 377
"55560" 3337489 19373.1 385 3337488 19373.1 384
"55560" 3337516 20736.5 412 3337515 20736.5 411
"55560" 3337520 20821.5 416 3337519 20821.5 415
"55560" 3337552 21684.5 448 3337551 21684.5 447
"55560" 3337555 21734.4 451 3337554 21734.4 450
"55560" 3337562 22070.6 458 3337561 22070.6 457
"55560" 3337569 22632.4 465 3337568 22632.4 464
"55560" 3337576 23104.4 472 3337575 23104.4 471
"55560" 3337593 23985.8 489 3337592 23985.8 488
"55560" 3337599 24095.3 495 3337598 24095.3 494
"55560" 3337601 24162.1 497 3337600 24162.1 496
"55564" 3339609 387.4 21 3339608 387.4 20
"55564" 3339617 517.7 29 3339616 517.7 28
"55564" 3339641 1286.2 53 3339640 1286.2 52
"55564" 3339652 1651.0 64 3339651 1651.0 63
"55564" 3339655 1717.3 67 3339654 1717.3 66
"55564" 3339657 1746.4 69 3339656 1746.4 68
"55564" 3339659 1790.4 71 3339658 1790.4 70
"55564" 3339662 1896.5 74 3339661 1896.5 73
"55564" 3339665 1925.9 77 3339664 1925.9 76
"55564" 3339669 2045.2 81 3339668 2045.2 80
"55564" 3339674 2341.1 86 3339673 2341.1 85
"55564" 3339683 2582.6 95 3339682 2582.6 94
"55564" 3339687 2663.9 99 3339686 2663.9 98
"55564" 3339699 2771.7 111 3339698 2771.7 110
"55564" 3339714 2855.1 126 3339713 2855.1 125
"55564" 3339719 2992.2 131 3339718 2992.2 130
"55564" 3339727 3182.5 139 3339726 3182.5 138
"55564" 3339729 3254.5 141 3339728 3254.5 140
"55564" 3339735 3485.8 147 3339734 3485.8 146
"55564" 3339755 4000.4 167 3339754 4000.4 166
"55564" 3339775 4321.1 187 3339774 4321.1 186
expired_calendar WARNING 66

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 66 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3691 "73341"
3646 "1256"
3642 "1271"
14868 "1294"
25732 "24601"
2 "1339"
25724 "12709"
11151 "1379"
9 "1461"
25718 "1954"
22083 "20239"
25727 "20237"
3664 "44515"
3663 "44517"
25726 "17222"
18524 "17343"
41 "76307"
22114 "76308"
42 "76309"
25728 "13033"
3655 "13105"
18562 "76816"
12 "2009"
14 "2022"
14886 "2066"
11164 "2111"
18515 "2123"
14888 "2137"
14928 "62494"
7367 "2158"
7370 "2175"
7372 "2173"
22068 "2206"
7373 "2205"
14890 "2218"
18513 "2217"
22071 "2216"
18509 "2213"
25717 "2224"
11167 "2285"
14903 "13743"
7377 "2499"
7374 "2685"
14894 "2737"
18516 "2766"
18528 "47502"
22075 "2814"
14898 "2849"
14899 "2852"
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.
29629 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 160576 17 "99227" "Krekenava" "14:03:00" 160577 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.
9113 "2699" "7597138"
9270 "2699" "7597185"
9279 "2699" "7597205"
9290 "2699" "7597145"
9787 "2699" "7597161"
9806 "2699" "7597151"
9817 "2699" "7597197"
9998 "2699" "7597199"
10036 "2699" "7597200"
10132 "2699" "7597174"
10142 "2699" "7597139"
10262 "2699" "7597159"
10296 "2699" "7597135"
10301 "2699" "7597165"
10464 "2699" "7597158"
10513 "2699" "7597160"
10635 "2699" "7597162"
10785 "2699" "7597180"
10882 "2699" "7597154"
11020 "2699" "7597192"
11172 "2699" "7597178"
11269 "2699" "7597167"
11273 "2699" "7597134"
11282 "2699" "7597206"
11288 "2699" "7597143"
11299 "2699" "7597190"
11434 "2699" "7597149"
11471 "2699" "7597204"
11525 "2699" "7597142"
11657 "2699" "7597207"
11697 "2699" "7597021"
11788 "2699" "7597193"
11798 "2699" "7597175"
11926 "2699" "7597198"
12069 "2699" "7597129"
12079 "2699" "7597153"
12140 "2699" "7597184"
12282 "2699" "7597173"
12598 "2699" "7597141"
12628 "2699" "7597182"
12842 "2699" "7597126"
20504 "2699" "7597196"
20527 "2699" "7597144"
20550 "2699" "7597147"
20637 "2699" "7597130"
20762 "2699" "7597181"
20796 "2699" "7597150"
20992 "2699" "7597128"
21014 "2699" "7597186"
21071 "2699" "7597155"
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 371

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 371 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\"" 53
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 20
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 21
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 27
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 28
"routes.txt" "route_short_name" "3_VLP" 47
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 132
"routes.txt" "route_short_name" "5_VLP" 258
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 273
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 320
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 321
"routes.txt" "route_short_name" "40-DT" 385
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 454
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 455
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 458
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 459
"routes.txt" "route_short_name" "2_VLP" 476
"routes.txt" "route_short_name" "94AT" 579
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 666
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 670
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 697
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 709
"routes.txt" "route_short_name" "94-DC" 742
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 787
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 850
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 851
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 866
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 867
"routes.txt" "route_short_name" "4_VLP" 883
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 904
"routes.txt" "route_short_name" "70AC" 1011
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1046
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1047
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1048
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1049
"routes.txt" "route_short_name" "1A_VLP" 1079
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1129
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1137
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1178
"routes.txt" "route_short_name" "2A_VLP" 1276
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1301
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1327
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1329
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1350
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1375
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1386
"routes.txt" "route_short_name" "50AB" 1436
"routes.txt" "route_long_name" "JONAVA-KULVA" 1468
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1469
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1475
stop_too_far_from_shape WARNING 48

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.

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.
22708 "3636" "45756" 2602 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22099 "3651" "45771" 2631 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
10712 "3653" "45773" 2632 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22079 "43544" "8124133" 222454 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
23066 "43548" "8124139" 222492 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
10331 "26974" "7317016" 41137 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
10331 "26974" "7317016" 41138 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
10331 "26974" "7317016" 41153 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
22874 "18654" "3218451" 27608 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
9740 "32206" "7476583" 51956 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
9740 "32206" "7476583" 51957 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
9740 "32206" "7476583" 51958 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
9740 "32206" "7476583" 51961 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
9740 "32206" "7476583" 51966 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
12483 "3899" "46086" 2740 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12102 "3014" "43694" 1854 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
23205 "29420" "7429613" 47107 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
11445 "4529" "46899" 3676 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20692 "4527" "47691" 5190 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9745 "4528" "47692" 5191 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22562 "14622" "7150732" 40004 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
11719 "2821" "45017" 2526 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9334 "29615" "7432118" 47515 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
23345 "29616" "7432119" 47563 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
6015 "21886" "60_A2-02-1-241209-ba-0720" 76336 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
4763 "21885" "60_A4-01-6-241028-ab-2150" 413651 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
25883 "21887" "60_A2-01-7-060404-ab3-1100" 414320 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
8540 "21891" "60_A2-01-1-241209-ab2-1640" 76171 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
4748 "21865" "60_A2-01-7-060404-b3a-0920" 412804 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
4485 "21872" "60_A30-01-6-241028-b2a-1720" 413591 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
21634 "3339" "46943" 3677 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10985 "4710" "47248" 4396 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
21429 "4711" "47250" 4409 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
12812 "11705" "747606" 18127 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11162 "6511" "54508" 10400 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
22650 "6509" "54501" 10334 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
12732 "6513" "54509" 10412 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
21720 "29093" "7413977" 44810 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
9652 "29092" "7413975" 44766 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
11210 "5232" "48166" 5601 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
9203 "44681" "8136898" 233546 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
11021 "3514" "45563" 2549 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10556 "3537" "45591" 2574 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11739 "17131" "2515701" 24947 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
11864 "3574" "45644" 2575 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10918 "3617" "45754" 2601 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
11370 "15331" "2211798" 21967 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
9917 "15330" "2211796" 21954 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 16

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.
10168 "3645" "57657" 14445 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14444 "12152" "Jonaičiai" [55.34641499999999,21.570023]
10306 "3667" "57730" 14584 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14583 "13926" "Jonaičiai" [55.346103,21.568929]
20914 "3714" "57736" 14658 "13926" "Jonaičiai" [55.346103,21.568929] 14657 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
10460 "13808" "1228372" 20663 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20662 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
20886 "26489" "7231018" 40597 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 40596 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
21063 "35668" "7652364" 63049 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 63048 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
10745 "28435" "7339430" 42496 "64819" "Suostas" [56.32837413018391,24.713657886432735] 42495 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
22537 "28434" "7339429" 42472 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 42471 "64820" "Suostas" [56.32837775901334,24.713656830174433]
20905 "6591" "57636" 14121 "13926" "Jonaičiai" [55.346103,21.568929] 14120 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
9140 "3554" "57639" 14161 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14160 "12152" "Jonaičiai" [55.34641499999999,21.570023]
9333 "29102" "7413991" 44890 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 44889 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
22761 "40377" "8016002" 100407 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 100406 "97223" "Tarvydai I" [55.328604,21.56423]
12489 "40378" "8016003" 100416 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 100415 "97223" "Tarvydai I" [55.328604,21.56423]
10820 "5353" "57618" 13933 "13926" "Jonaičiai" [55.346103,21.568929] 13932 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
11896 "54901" "8226897" 479515 "45588" "Balbieriškis" [54.524770000000004,23.885448] 479514 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
21218 "54903" "8241502" 627232 "45588" "Balbieriškis" [54.524770000000004,23.885448] 627231 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
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