GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-03-13T06:06:39+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: 51
  • Blocks: 0
  • Routes: 1620
  • Shapes: 4202
  • Stops: 15433
  • Trips: 30233

Specification Compliance report

122154 notices reported (0 errors, 122121 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`.
48 "20163" 246 "20190" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
49 "20148" 249 "20207" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
237 "20141" 253 "20191" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
45 "20206" 258 "20138" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
255 "20171" 268 "20196" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
234 "18329" 347 "6209" "M1" "Alytus - Geniai" 3 "48"
236 "20161" 450 "20186" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
39 "20145" 455 "20221" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
453 "20197" 458 "20137" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
245 "20210" 651 "20139" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
247 "20193" 652 "20140" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
465 "20189" 653 "20169" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
44 "20187" 656 "20165" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
266 "20200" 658 "20160" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
251 "20199" 660 "20173" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
47 "20172" 661 "20195" "M-101A" "Kauno pilis-Šilainiai-Giraitė-Užliedžiai" 3 "14"
657 "20185" 844 "20155" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
677 "20198" 846 "20156" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
659 "20152" 847 "20202" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
451 "20182" 850 "20147" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
459 "20215" 851 "20143" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
449 "20209" 1030 "20146" "M-101" "Kauno pilis-Giraitė-Užliedžiai" 3 "14"
662 "20214" 1031 "20151" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
40 "20133" 1032 "20208" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
235 "20154" 1033 "20218" "M-156" "Kaunas - Neveronys" 3 "14"
843 "20142" 1034 "20216" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
46 "20201" 1035 "20134" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
452 "20167" 1050 "20188" "M-151" "Kaunas-Ramučiai" 3 "14"
852 "16052" 1095 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
865 "20211" 1232 "20149" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
848 "20203" 1233 "20153" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
250 "20220" 1234 "20136" "M-146" "Kaunas-Žiegždriai" 3 "14"
267 "20217" 1236 "20162" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
1029 "20135" 1240 "20204" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
1037 "20150" 1241 "20213" "M-168" "Kaunas-Giraitė-Užliedžiai-Babtai-Vosiškiai" 3 "14"
38 "20159" 1242 "20219" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
845 "20144" 1243 "20205" "M-168" "Kaunas-Šilainiai-Giraitė-Užliedžiai" 3 "14"
244 "20183" 1244 "20164" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
252 "20194" 1245 "20157" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
248 "20181" 1247 "20170" "M-120" "Karmėlava-Ramučiai" 3 "14"
1246 "20168" 1451 "20192" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
456 "20158" 1452 "20184" "M-168" "Vosiškiai-Babtai" 3 "14"
43 "20166" 1462 "20212" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
507 "3645" 1509 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4155

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 4155 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" 518201 29882.7 878 518200 29882.7 877 0.12791084993239907
"2328" 425904 35929.8 642 425903 35929.8 641 0.11119510090982554
"3659" 513251 49657.5 1177 513250 49657.5 1176 0.12791084993239907
"42205" 3562815 57850.1 335 3562814 57850.1 334 0.06178544815632574
"2369" 414708 63265.5 1261 414707 63265.5 1260 0.11119510090982554
"2385" 624165 69168.3 1771 624164 69168.3 1770 0.06441976500794575
"28733" 2392586 71509.2 1569 2392585 71509.2 1568 0.06441976500794575
"1919" 786895 136875.8 2842 786894 136875.8 2841 0.12752942403551987
"1919" 786898 136876.0 2845 786897 136876.0 2844 0.11119510090982554
"1919" 786905 136876.5 2852 786904 136876.5 2851 0.11119510232447394
"1919" 786908 136876.7 2855 786907 136876.7 2854 0.11119510161714974
"1919" 786911 136876.9 2858 786910 136876.9 2857 0.12752941555597483
"1919" 786920 136877.5 2867 786919 136877.5 2866 0.11119510090982554
"1919" 786923 136877.7 2870 786922 136877.7 2869 0.11119510161714974
"1919" 786926 136877.9 2873 786925 136877.9 2872 0.11119510090982554
"1919" 786933 136878.4 2880 786932 136878.4 2879 0.11119510090982554
"1919" 786936 136878.6 2883 786935 136878.6 2882 0.11119510161714974
"1919" 786945 136879.2 2892 786944 136879.2 2891 0.11119510090982554
"1919" 786948 136879.4 2895 786947 136879.4 2894 0.12752939825777979
"1919" 786951 136879.6 2898 786950 136879.6 2897 0.11119510161714974
"1919" 786960 136880.2 2907 786959 136880.2 2906 0.11119510161714974
"1919" 786964 136880.5 2911 786963 136880.5 2910 0.06244513630731429
"1919" 786970 136880.9 2917 786969 136880.9 2916 0.11119510161714974
"1919" 786973 136881.1 2920 786972 136881.1 2919 0.11119510090982554
"1919" 786976 136881.3 2923 786975 136881.3 2922 0.11119510090982554
"1919" 786985 136881.9 2932 786984 136881.9 2931 0.12752938095958766
"1919" 786988 136882.1 2935 786987 136882.1 2934 0.11119510161714974
"1919" 786999 136882.8 2946 786998 136882.8 2945 0.11119510161714974
"1919" 787004 136883.1 2951 787003 136883.1 2950 0.11119510161714974
"1919" 787012 136883.6 2959 787011 136883.6 2958 0.11119510090982554
"1919" 787017 136883.9 2964 787016 136883.9 2963 0.11119510090982554
"1919" 787030 136884.7 2977 787029 136884.7 2976 0.11119510161714974
"1919" 787032 136884.8 2979 787031 136884.8 2978 0.11119510090982554
"1919" 787035 136885.0 2982 787034 136885.0 2981 0.11119510161714974
"1919" 787043 136885.5 2990 787042 136885.5 2989 0.1275293557985862
"1919" 787045 136885.6 2992 787044 136885.6 2991 0.11119510161714974
"1919" 787048 136885.8 2995 787047 136885.8 2994 0.11119510090982554
"1919" 787050 136885.9 2997 787049 136885.9 2996 0.11119510232447394
"1919" 787056 136886.3 3003 787055 136886.3 3002 0.06244505260741443
"1919" 787061 136886.6 3008 787060 136886.6 3007 0.11119510161714974
"1919" 787063 136886.7 3010 787062 136886.7 3009 0.11119510090982554
"1919" 787066 136886.9 3013 787065 136886.9 3012 0.11119510090982554
"1919" 787068 136887.0 3015 787067 136887.0 3014 0.11119510090982554
"1919" 787074 136887.4 3021 787073 136887.4 3020 0.11119510090982554
"1919" 787076 136887.5 3023 787075 136887.5 3022 0.11119510161714974
"1919" 787079 136887.7 3026 787078 136887.7 3025 0.11119510090982554
"1919" 787081 136887.8 3028 787080 136887.8 3027 0.11119510161714974
"1919" 787092 136888.5 3039 787091 136888.5 3038 0.11119510161714974
"1919" 787094 136888.6 3041 787093 136888.6 3040 0.11119510090982554
"1919" 787097 136888.8 3044 787096 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 17294

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 17294 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" 3238469 350.5 28 3238468 350.5 27
"43541" 3238480 811.7 39 3238479 811.7 38
"43541" 3238519 1779.8 78 3238518 1779.8 77
"43541" 3238563 3184.3 122 3238562 3184.3 121
"43541" 3238596 4418.1 155 3238595 4418.1 154
"43541" 3238612 4854.6 171 3238611 4854.6 170
"43541" 3238661 6561.9 220 3238660 6561.9 219
"43541" 3238697 7544.1 256 3238696 7544.1 255
"43541" 3238736 8757.6 295 3238735 8757.6 294
"43541" 3238753 9358.6 312 3238752 9358.6 311
"43541" 3238780 9709.1 339 3238779 9709.1 338
"43541" 3238826 10376.7 385 3238825 10376.7 384
"43541" 3238879 11116.1 438 3238878 11116.1 437
"43541" 3238910 11700.4 469 3238909 11700.4 468
"43541" 3238941 12284.8 500 3238940 12284.8 499
"43541" 3239202 14358.7 761 3239201 14358.7 760
"43541" 3239278 14706.8 837 3239277 14706.8 836
"43541" 3239378 15301.6 937 3239377 15301.6 936
"43541" 3239478 15896.4 1037 3239477 15896.4 1036
"43541" 3239554 16244.5 1113 3239553 16244.5 1112
"43541" 3239752 17133.2 1311 3239751 17133.2 1310
"43541" 3239995 18161.9 1554 3239994 18161.9 1553
"43541" 3240020 18472.3 1579 3240019 18472.3 1578
"43541" 3240070 18976.3 1629 3240069 18976.3 1628
"43541" 3240217 19673.4 1776 3240216 19673.4 1775
"43541" 3240446 21285.9 2005 3240445 21285.9 2004
"43541" 3240522 22756.6 2081 3240521 22756.6 2080
"43541" 3240598 24227.3 2157 3240597 24227.3 2156
"43541" 3240637 24719.6 2196 3240636 24719.6 2195
"43541" 3240654 25292.2 2213 3240653 25292.2 2212
"43541" 3240673 25625.9 2232 3240672 25625.9 2231
"43541" 3240761 26736.7 2320 3240760 26736.7 2319
"43541" 3240848 27236.5 2407 3240847 27236.5 2406
"43541" 3240897 28436.1 2456 3240896 28436.1 2455
"43541" 3240936 28928.5 2495 3240935 28928.5 2494
"43541" 3240987 29639.4 2546 3240986 29639.4 2545
"43541" 3241218 30811.2 2777 3241217 30811.2 2776
"43541" 3241294 31159.3 2853 3241293 31159.3 2852
"43541" 3241394 31754.1 2953 3241393 31754.1 2952
"43541" 3241494 32348.9 3053 3241493 32348.9 3052
"43541" 3241570 32697.0 3129 3241569 32697.0 3128
"43541" 3241768 33585.6 3327 3241767 33585.6 3326
"43541" 3242052 35228.5 3611 3242051 35228.5 3610
"43541" 3242105 35967.9 3664 3242104 35967.9 3663
"43541" 3242136 36552.2 3695 3242135 36552.2 3694
"43541" 3242167 37136.6 3726 3242166 37136.6 3725
"43531" 2257814 1036.1 44 2257813 1036.1 43
"43531" 2257843 1669.1 73 2257842 1669.1 72
"43531" 2257870 2285.2 100 2257869 2285.2 99
"43531" 2257911 4091.8 141 2257910 4091.8 140
expired_calendar WARNING 65

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 65 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
11681 "13743"
2902 "73341"
5747 "2499"
2849 "1256"
2845 "1271"
11646 "1294"
20254 "24601"
20248 "24602"
2 "1339"
5744 "2685"
20245 "12709"
8709 "1379"
11672 "2737"
14560 "2766"
9 "1461"
14573 "47502"
17379 "2814"
11676 "2849"
11677 "2852"
14562 "2850"
8724 "2980"
14561 "2975"
5745 "2974"
17378 "2972"
11692 "47985"
20239 "1954"
17387 "20239"
20249 "20237"
20247 "17222"
17385 "31530"
14568 "17343"
23 "43774"
20234 "678"
11645 "973"
54 "76307"
17426 "76308"
55 "76309"
20242 "3000"
5746 "3012"
20250 "13033"
2858 "13105"
14622 "76816"
12 "2009"
14 "2022"
14578 "48071"
26 "48073"
11664 "2066"
14577 "48062"
8722 "2111"
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.
18467 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 218407 17 "99227" "Krekenava" "14:03:00" 218408 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.
16754 "2699" "7597200"
16826 "2699" "7597135"
16830 "2699" "7597165"
16948 "2699" "7597160"
17146 "2699" "7597159"
17159 "2699" "7597180"
17246 "2699" "7597192"
17348 "2699" "7597158"
17481 "2699" "7597167"
17485 "2699" "7597134"
17492 "2699" "7597206"
17498 "2699" "7597143"
17507 "2699" "7597162"
17620 "2699" "7597207"
17660 "2699" "7597021"
17770 "2699" "7597154"
17891 "2699" "7597198"
18034 "2699" "7597178"
18100 "2699" "7597190"
18135 "2699" "7597204"
18182 "2699" "7597142"
18263 "2699" "7597149"
18401 "2699" "7597193"
18410 "2699" "7597175"
18611 "2699" "7597129"
18621 "2699" "7597153"
18700 "2699" "7597173"
19082 "2699" "7597185"
19094 "2699" "7597205"
19102 "2699" "7597145"
19348 "2699" "7597161"
19366 "2699" "7597151"
19376 "2699" "7597197"
19421 "2699" "7597199"
26751 "2699" "7597169"
26900 "2699" "7597188"
26903 "2699" "7597203"
26925 "2699" "7597183"
26976 "2699" "7597148"
27013 "2699" "7597157"
27111 "2699" "7597194"
27122 "2699" "7597131"
27140 "2699" "7597163"
27238 "2699" "7597127"
27325 "2699" "7597212"
27405 "2699" "7597166"
27456 "2699" "7597177"
27610 "2699" "7597202"
27679 "2699" "7597125"
27858 "2699" "7597210"
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 374

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 374 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\"" 51
"routes.txt" "route_short_name" "3_VLP" 21
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 41
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 42
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 95
"routes.txt" "route_short_name" "5_VLP" 217
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 241
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 242
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 254
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 272
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 274
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 280
"routes.txt" "route_short_name" "40-DT" 369
"routes.txt" "route_short_name" "2_VLP" 434
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 444
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 445
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 446
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 447
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 448
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 454
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 457
"routes.txt" "route_short_name" "94AT" 548
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 654
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 684
"routes.txt" "route_short_name" "94-DC" 694
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 699
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 763
"routes.txt" "route_short_name" "4_VLP" 834
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 849
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 932
"routes.txt" "route_short_name" "70AC" 995
"routes.txt" "route_short_name" "1A_VLP" 1020
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1097
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1118
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1122
"routes.txt" "route_short_name" "2A_VLP" 1222
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1235
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 1237
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1238
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1239
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1248
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1301
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1304
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1309
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1327
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1328
"routes.txt" "route_short_name" "50AB" 1377
"routes.txt" "route_short_name" "1_VLP" 1440
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1448
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 1449
stop_too_far_from_shape WARNING 56

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 56 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.
28142 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27560 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17585 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27541 "43544" "8124133" 402062 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
28693 "43548" "8124139" 402100 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
16914 "26974" "7317016" 39438 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
16914 "26974" "7317016" 39439 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
16914 "26974" "7317016" 39454 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
16834 "16822" "2392140" 25538 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
16811 "16821" "2392136" 25482 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
17513 "16823" "2392141" 25557 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
28411 "18654" "3218451" 28734 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
18141 "32206" "7476584" 52097 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
18141 "32206" "7476584" 52098 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
18141 "32206" "7476584" 52099 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
18141 "32206" "7476584" 52102 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
18141 "32206" "7476584" 52107 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
18802 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18672 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
9913 "37872" "61_49W" 78742 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
28736 "29420" "7429613" 46808 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18109 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
29357 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
29843 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27650 "14622" "7150732" 38291 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
17679 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19148 "29615" "7432118" 47216 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
28517 "29616" "7432119" 47264 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
10164 "21886" "60_A2-02-1-241209-ba-1520" 72918 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
6659 "21885" "60_A2-02-6-251110-ab-1940" 405235 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
23052 "21887" "60_A2-01-7-251110-ab3-1100" 403791 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
10458 "21891" "60_A2-02-1-241209-ab2-2020" 73950 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
23601 "21865" "60_A2-01-7-251110-b3a-0920" 403265 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
6785 "21872" "60_A4-01-6-251110-b2a-2220" 405609 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
27006 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17221 "4710" "47248" 4648 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
28010 "4711" "47251" 4673 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
29195 "11705" "747606" 18630 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18024 "6511" "54508" 10584 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
27995 "6509" "54501" 10518 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
18988 "6513" "54509" 10596 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
27185 "29093" "7413977" 44292 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
29661 "29092" "7413975" 44248 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
17430 "5232" "48166" 5785 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
16794 "27242" "7324110" 41008 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
26888 "27240" "7322650" 40659 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
17999 "27239" "7322649" 40651 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
17811 "27236" "7322645" 40634 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
28860 "27237" "7322647" 40642 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
17247 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
stops_match_shape_out_of_order WARNING 13

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.
30123 "3645" "57657" 14579 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14578 "12152" "Jonaičiai" [55.34641499999999,21.570023]
16836 "3667" "57730" 14718 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14717 "13926" "Jonaičiai" [55.346103,21.568929]
26974 "3714" "57735" 14776 "13926" "Jonaičiai" [55.346103,21.568929] 14775 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
17344 "13808" "1228372" 21414 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21413 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
29572 "26489" "7231018" 38884 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38883 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
17074 "28435" "7339430" 41930 "64819" "Suostas" [56.32837413018391,24.713657886432735] 41929 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
27627 "28434" "7339429" 41906 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 41905 "64820" "Suostas" [56.32837775901334,24.713656830174433]
27558 "6591" "57635" 14239 "13926" "Jonaičiai" [55.346103,21.568929] 14238 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
16909 "3554" "57643" 14383 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14382 "12152" "Jonaičiai" [55.34641499999999,21.570023]
19147 "29102" "7413991" 44372 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 44371 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
27845 "40377" "8016002" 112701 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 112700 "97223" "Tarvydai I" [55.328604,21.56423]
18809 "40378" "8016003" 112710 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 112709 "97223" "Tarvydai I" [55.328604,21.56423]
17191 "5353" "57618" 14067 "13926" "Jonaičiai" [55.346103,21.568929] 14066 "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