GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-03-20T06:07:14+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: 52
  • Blocks: 0
  • Routes: 1632
  • Shapes: 4140
  • Stops: 15778
  • Trips: 29630

Specification Compliance report

119650 notices reported (0 errors, 119617 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 4

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`.
218 "6209" 401 "18329" "M1" "Alytus - Geniai" 3 "48"
195 "20281" 770 "20309" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
978 "16052" 1101 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
457 "3645" 1474 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
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" 526587 29882.7 878 526586 29882.7 877 0.12791084993239907
"2328" 434290 35929.8 642 434289 35929.8 641 0.11119510090982554
"3659" 521637 49657.5 1177 521636 49657.5 1176 0.12791084993239907
"42205" 3524346 57850.1 335 3524345 57850.1 334 0.06178544815632574
"2369" 423094 63265.5 1261 423093 63265.5 1260 0.11119510090982554
"2385" 632551 69168.3 1771 632550 69168.3 1770 0.06441976500794575
"28733" 2424351 71509.2 1569 2424350 71509.2 1568 0.06441976500794575
"1919" 795281 136875.8 2842 795280 136875.8 2841 0.12752942403551987
"1919" 795284 136876.0 2845 795283 136876.0 2844 0.11119510090982554
"1919" 795291 136876.5 2852 795290 136876.5 2851 0.11119510232447394
"1919" 795294 136876.7 2855 795293 136876.7 2854 0.11119510161714974
"1919" 795297 136876.9 2858 795296 136876.9 2857 0.12752941555597483
"1919" 795306 136877.5 2867 795305 136877.5 2866 0.11119510090982554
"1919" 795309 136877.7 2870 795308 136877.7 2869 0.11119510161714974
"1919" 795312 136877.9 2873 795311 136877.9 2872 0.11119510090982554
"1919" 795319 136878.4 2880 795318 136878.4 2879 0.11119510090982554
"1919" 795322 136878.6 2883 795321 136878.6 2882 0.11119510161714974
"1919" 795331 136879.2 2892 795330 136879.2 2891 0.11119510090982554
"1919" 795334 136879.4 2895 795333 136879.4 2894 0.12752939825777979
"1919" 795337 136879.6 2898 795336 136879.6 2897 0.11119510161714974
"1919" 795346 136880.2 2907 795345 136880.2 2906 0.11119510161714974
"1919" 795350 136880.5 2911 795349 136880.5 2910 0.06244513630731429
"1919" 795356 136880.9 2917 795355 136880.9 2916 0.11119510161714974
"1919" 795359 136881.1 2920 795358 136881.1 2919 0.11119510090982554
"1919" 795362 136881.3 2923 795361 136881.3 2922 0.11119510090982554
"1919" 795371 136881.9 2932 795370 136881.9 2931 0.12752938095958766
"1919" 795374 136882.1 2935 795373 136882.1 2934 0.11119510161714974
"1919" 795385 136882.8 2946 795384 136882.8 2945 0.11119510161714974
"1919" 795390 136883.1 2951 795389 136883.1 2950 0.11119510161714974
"1919" 795398 136883.6 2959 795397 136883.6 2958 0.11119510090982554
"1919" 795403 136883.9 2964 795402 136883.9 2963 0.11119510090982554
"1919" 795416 136884.7 2977 795415 136884.7 2976 0.11119510161714974
"1919" 795418 136884.8 2979 795417 136884.8 2978 0.11119510090982554
"1919" 795421 136885.0 2982 795420 136885.0 2981 0.11119510161714974
"1919" 795429 136885.5 2990 795428 136885.5 2989 0.1275293557985862
"1919" 795431 136885.6 2992 795430 136885.6 2991 0.11119510161714974
"1919" 795434 136885.8 2995 795433 136885.8 2994 0.11119510090982554
"1919" 795436 136885.9 2997 795435 136885.9 2996 0.11119510232447394
"1919" 795442 136886.3 3003 795441 136886.3 3002 0.06244505260741443
"1919" 795447 136886.6 3008 795446 136886.6 3007 0.11119510161714974
"1919" 795449 136886.7 3010 795448 136886.7 3009 0.11119510090982554
"1919" 795452 136886.9 3013 795451 136886.9 3012 0.11119510090982554
"1919" 795454 136887.0 3015 795453 136887.0 3014 0.11119510090982554
"1919" 795460 136887.4 3021 795459 136887.4 3020 0.11119510090982554
"1919" 795462 136887.5 3023 795461 136887.5 3022 0.11119510161714974
"1919" 795465 136887.7 3026 795464 136887.7 3025 0.11119510090982554
"1919" 795467 136887.8 3028 795466 136887.8 3027 0.11119510161714974
"1919" 795478 136888.5 3039 795477 136888.5 3038 0.11119510161714974
"1919" 795480 136888.6 3041 795479 136888.6 3040 0.11119510090982554
"1919" 795483 136888.8 3044 795482 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 14893

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 14893 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" 3281782 350.5 28 3281781 350.5 27
"43541" 3281793 811.7 39 3281792 811.7 38
"43541" 3281832 1779.8 78 3281831 1779.8 77
"43541" 3281876 3184.3 122 3281875 3184.3 121
"43541" 3281909 4418.1 155 3281908 4418.1 154
"43541" 3281925 4854.6 171 3281924 4854.6 170
"43541" 3281974 6561.9 220 3281973 6561.9 219
"43541" 3282010 7544.1 256 3282009 7544.1 255
"43541" 3282049 8757.6 295 3282048 8757.6 294
"43541" 3282066 9358.6 312 3282065 9358.6 311
"43541" 3282093 9709.1 339 3282092 9709.1 338
"43541" 3282139 10376.7 385 3282138 10376.7 384
"43541" 3282192 11116.1 438 3282191 11116.1 437
"43541" 3282223 11700.4 469 3282222 11700.4 468
"43541" 3282254 12284.8 500 3282253 12284.8 499
"43541" 3282515 14358.7 761 3282514 14358.7 760
"43541" 3282591 14706.8 837 3282590 14706.8 836
"43541" 3282691 15301.6 937 3282690 15301.6 936
"43541" 3282791 15896.4 1037 3282790 15896.4 1036
"43541" 3282867 16244.5 1113 3282866 16244.5 1112
"43541" 3283065 17133.2 1311 3283064 17133.2 1310
"43541" 3283308 18161.9 1554 3283307 18161.9 1553
"43541" 3283333 18472.3 1579 3283332 18472.3 1578
"43541" 3283383 18976.3 1629 3283382 18976.3 1628
"43541" 3283530 19673.4 1776 3283529 19673.4 1775
"43541" 3283759 21285.9 2005 3283758 21285.9 2004
"43541" 3283835 22756.6 2081 3283834 22756.6 2080
"43541" 3283911 24227.3 2157 3283910 24227.3 2156
"43541" 3283950 24719.6 2196 3283949 24719.6 2195
"43541" 3283967 25292.2 2213 3283966 25292.2 2212
"43541" 3283986 25625.9 2232 3283985 25625.9 2231
"43541" 3284074 26736.7 2320 3284073 26736.7 2319
"43541" 3284161 27236.5 2407 3284160 27236.5 2406
"43541" 3284210 28436.1 2456 3284209 28436.1 2455
"43541" 3284249 28928.5 2495 3284248 28928.5 2494
"43541" 3284300 29639.4 2546 3284299 29639.4 2545
"43541" 3284531 30811.2 2777 3284530 30811.2 2776
"43541" 3284607 31159.3 2853 3284606 31159.3 2852
"43541" 3284707 31754.1 2953 3284706 31754.1 2952
"43541" 3284807 32348.9 3053 3284806 32348.9 3052
"43541" 3284883 32697.0 3129 3284882 32697.0 3128
"43541" 3285081 33585.6 3327 3285080 33585.6 3326
"43541" 3285365 35228.5 3611 3285364 35228.5 3610
"43541" 3285418 35967.9 3664 3285417 35967.9 3663
"43541" 3285449 36552.2 3695 3285448 36552.2 3694
"43541" 3285480 37136.6 3726 3285479 37136.6 3725
"43531" 2293505 1036.1 44 2293504 1036.1 43
"43531" 2293534 1669.1 73 2293533 1669.1 72
"43531" 2293561 2285.2 100 2293560 2285.2 99
"43531" 2293602 4091.8 141 2293601 4091.8 140
expired_calendar WARNING 70

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 70 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
12048 "13743"
3004 "73341"
5945 "2499"
2949 "1256"
2945 "1271"
12013 "1294"
20878 "24601"
20872 "24602"
2 "1339"
5942 "2685"
20869 "12709"
8987 "1379"
12039 "2737"
15021 "2766"
9 "1461"
15034 "47502"
17914 "2814"
12043 "2849"
12044 "2852"
15023 "2850"
9002 "2980"
15022 "2975"
5943 "2974"
17913 "2972"
21062 "71406"
12059 "47985"
20863 "1954"
17922 "20239"
20873 "20237"
20871 "17222"
17920 "31530"
15029 "17343"
23 "43774"
777 "89141"
1132 "89140"
20858 "678"
17097 "89406"
3365 "89405"
12012 "973"
54 "76307"
17960 "76308"
55 "76309"
20866 "3000"
5944 "3012"
20874 "13033"
2958 "13105"
15082 "76816"
12 "2009"
14 "2022"
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.
12528 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 211519 17 "99227" "Krekenava" "14:03:00" 211520 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.
1871 "2699" "7597146"
1979 "2699" "7597135"
1984 "2699" "7597165"
2049 "2699" "7597160"
2098 "2699" "7597174"
2108 "2699" "7597139"
2394 "2699" "7597169"
2603 "2699" "7597180"
2668 "2699" "7597183"
2721 "2699" "7597148"
2757 "2699" "7597194"
2800 "2699" "7597188"
2803 "2699" "7597203"
2811 "2699" "7597157"
2898 "2699" "7597192"
2969 "2699" "7597131"
2987 "2699" "7597163"
3138 "2699" "7597127"
3160 "2699" "7597154"
3280 "2699" "7597167"
3284 "2699" "7597134"
3293 "2699" "7597206"
3299 "2699" "7597143"
3309 "2699" "7597190"
3345 "2699" "7597204"
3372 "2699" "7597212"
3504 "2699" "7597166"
3578 "2699" "7597178"
3691 "2699" "7597142"
3719 "2699" "7597207"
3857 "2699" "7597177"
3915 "2699" "7597202"
3989 "2699" "7597149"
4057 "2699" "7597021"
4285 "2699" "7597125"
4404 "2699" "7597193"
4413 "2699" "7597175"
4449 "2699" "7597198"
4526 "2699" "7597184"
4596 "2699" "7597136"
4637 "2699" "7597211"
4662 "2699" "7597210"
4670 "2699" "7597201"
4672 "2699" "7597172"
4721 "2699" "7597164"
4729 "2699" "7597176"
4827 "2699" "7597129"
4838 "2699" "7597153"
4972 "2699" "7597208"
5015 "2699" "7597187"
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 308

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 308 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" 65
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 182
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 183
"routes.txt" "route_short_name" "3_VLP" 197
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 224
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 231
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 294
"routes.txt" "route_short_name" "40-DT" 359
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 396
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 397
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 400
"routes.txt" "route_short_name" "5_VLP" 414
"routes.txt" "route_short_name" "94AT" 523
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 604
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 605
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 606
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 607
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 608
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 609
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 610
"routes.txt" "route_short_name" "2_VLP" 619
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 646
"routes.txt" "route_short_name" "94-DC" 647
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 673
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 694
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 804
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 857
"routes.txt" "route_short_name" "70AC" 966
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 993
"routes.txt" "route_short_name" "4_VLP" 1002
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1031
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1048
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1131
"routes.txt" "route_short_name" "1A_VLP" 1217
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1235
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1240
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1266
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1283
"routes.txt" "route_short_name" "50AB" 1322
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1329
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1349
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1399
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1400
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 1401
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1402
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1403
"routes.txt" "route_short_name" "2A_VLP" 1417
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1441
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1452
stop_too_far_from_shape WARNING 52

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 52 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.
4996 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3806 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12100 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3787 "43544" "8124133" 379058 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
5747 "43548" "8124139" 379096 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
2014 "26974" "7317016" 39782 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
2014 "26974" "7317016" 39783 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
2014 "26974" "7317016" 39798 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
1988 "16822" "2392140" 25650 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
1960 "16821" "2392136" 25594 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
4522 "16823" "2392142" 25689 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
5359 "18654" "3218451" 28846 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
3351 "32206" "7476584" 51356 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
3351 "32206" "7476584" 51357 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
3351 "32206" "7476584" 51358 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
3351 "32206" "7476584" 51361 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
3351 "32206" "7476584" 51366 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
5566 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5150 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
13364 "37872" "61_49W" 78857 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
5790 "29420" "7429613" 46067 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3319 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6619 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7139 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4257 "14622" "7150732" 38649 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
4079 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6421 "29615" "7432118" 46475 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
5513 "29616" "7432119" 46523 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
8157 "21886" "60_A4-01-6-251110-ba-0730" 381519 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1074 "21885" "60_A2-01-6-251110-ab-0900" 381218 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1089 "21887" "60_A2-01-7-251110-ab3-1430" 380464 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
774 "21891" "60_A2-01-6-251110-ab2-0740" 382526 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
8775 "21865" "60_A2-01-7-251110-b3a-1150" 382373 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
773 "21872" "60_A30-01-7-251110-b2a-1720" 381033 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
2751 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2203 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
2470 "4711" "47250" 4661 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
5708 "11705" "747606" 18742 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3569 "6511" "54508" 10624 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4942 "6509" "54501" 10558 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5996 "6513" "54509" 10636 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3035 "29093" "7413977" 43626 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
6853 "29092" "7413975" 43582 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2930 "5232" "48166" 5825 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
3848 "44681" "8136902" 393848 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2899 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2289 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4098 "17131" "2515701" 26092 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
4772 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3193 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
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.
2136 "3645" "57657" 14619 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14618 "12152" "Jonaičiai" [55.34641499999999,21.570023]
1990 "3667" "57730" 14758 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14757 "13926" "Jonaičiai" [55.346103,21.568929]
2719 "3714" "57735" 14816 "13926" "Jonaičiai" [55.346103,21.568929] 14815 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
11950 "13808" "1228372" 21526 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21525 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
7002 "26489" "7231018" 39242 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 39241 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
7295 "35668" "7652364" 63396 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 63395 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
2565 "28435" "7339430" 41264 "64819" "Suostas" [56.32837413018391,24.713657886432735] 41263 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
3932 "28434" "7339429" 41240 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 41239 "64820" "Suostas" [56.32837775901334,24.713656830174433]
3804 "6591" "57635" 14279 "13926" "Jonaičiai" [55.346103,21.568929] 14278 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
2009 "3554" "57643" 14423 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14422 "12152" "Jonaičiai" [55.34641499999999,21.570023]
6420 "29102" "7413991" 43706 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43705 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
4649 "40377" "8016002" 112816 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 112815 "97223" "Tarvydai I" [55.328604,21.56423]
5573 "40378" "8016003" 112825 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 112824 "97223" "Tarvydai I" [55.328604,21.56423]
2637 "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