GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-08T06:06:59+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: 51
  • Blocks: 0
  • Routes: 1567
  • Shapes: 3900
  • Stops: 14693
  • Trips: 27896

Specification Compliance report

115869 notices reported (0 errors, 115836 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`.
279 "6209" 366 "18329" "M1" "Alytus - Geniai" 3 "48"
867 "16052" 1004 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
105 "20364" 1132 "20445" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
489 "3645" 1488 "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" 501007 29882.7 878 501006 29882.7 877 0.12791084993239907
"2328" 408710 35929.8 642 408709 35929.8 641 0.11119510090982554
"3659" 496057 49657.5 1177 496056 49657.5 1176 0.12791084993239907
"42205" 3481443 57850.1 335 3481442 57850.1 334 0.06178544815632574
"2369" 397514 63265.5 1261 397513 63265.5 1260 0.11119510090982554
"2385" 606971 69168.3 1771 606970 69168.3 1770 0.06441976500794575
"28733" 2382017 71509.2 1569 2382016 71509.2 1568 0.06441976500794575
"1919" 769701 136875.8 2842 769700 136875.8 2841 0.12752942403551987
"1919" 769704 136876.0 2845 769703 136876.0 2844 0.11119510090982554
"1919" 769711 136876.5 2852 769710 136876.5 2851 0.11119510232447394
"1919" 769714 136876.7 2855 769713 136876.7 2854 0.11119510161714974
"1919" 769717 136876.9 2858 769716 136876.9 2857 0.12752941555597483
"1919" 769726 136877.5 2867 769725 136877.5 2866 0.11119510090982554
"1919" 769729 136877.7 2870 769728 136877.7 2869 0.11119510161714974
"1919" 769732 136877.9 2873 769731 136877.9 2872 0.11119510090982554
"1919" 769739 136878.4 2880 769738 136878.4 2879 0.11119510090982554
"1919" 769742 136878.6 2883 769741 136878.6 2882 0.11119510161714974
"1919" 769751 136879.2 2892 769750 136879.2 2891 0.11119510090982554
"1919" 769754 136879.4 2895 769753 136879.4 2894 0.12752939825777979
"1919" 769757 136879.6 2898 769756 136879.6 2897 0.11119510161714974
"1919" 769766 136880.2 2907 769765 136880.2 2906 0.11119510161714974
"1919" 769770 136880.5 2911 769769 136880.5 2910 0.06244513630731429
"1919" 769776 136880.9 2917 769775 136880.9 2916 0.11119510161714974
"1919" 769779 136881.1 2920 769778 136881.1 2919 0.11119510090982554
"1919" 769782 136881.3 2923 769781 136881.3 2922 0.11119510090982554
"1919" 769791 136881.9 2932 769790 136881.9 2931 0.12752938095958766
"1919" 769794 136882.1 2935 769793 136882.1 2934 0.11119510161714974
"1919" 769805 136882.8 2946 769804 136882.8 2945 0.11119510161714974
"1919" 769810 136883.1 2951 769809 136883.1 2950 0.11119510161714974
"1919" 769818 136883.6 2959 769817 136883.6 2958 0.11119510090982554
"1919" 769823 136883.9 2964 769822 136883.9 2963 0.11119510090982554
"1919" 769836 136884.7 2977 769835 136884.7 2976 0.11119510161714974
"1919" 769838 136884.8 2979 769837 136884.8 2978 0.11119510090982554
"1919" 769841 136885.0 2982 769840 136885.0 2981 0.11119510161714974
"1919" 769849 136885.5 2990 769848 136885.5 2989 0.1275293557985862
"1919" 769851 136885.6 2992 769850 136885.6 2991 0.11119510161714974
"1919" 769854 136885.8 2995 769853 136885.8 2994 0.11119510090982554
"1919" 769856 136885.9 2997 769855 136885.9 2996 0.11119510232447394
"1919" 769862 136886.3 3003 769861 136886.3 3002 0.06244505260741443
"1919" 769867 136886.6 3008 769866 136886.6 3007 0.11119510161714974
"1919" 769869 136886.7 3010 769868 136886.7 3009 0.11119510090982554
"1919" 769872 136886.9 3013 769871 136886.9 3012 0.11119510090982554
"1919" 769874 136887.0 3015 769873 136887.0 3014 0.11119510090982554
"1919" 769880 136887.4 3021 769879 136887.4 3020 0.11119510090982554
"1919" 769882 136887.5 3023 769881 136887.5 3022 0.11119510161714974
"1919" 769885 136887.7 3026 769884 136887.7 3025 0.11119510090982554
"1919" 769887 136887.8 3028 769886 136887.8 3027 0.11119510161714974
"1919" 769898 136888.5 3039 769897 136888.5 3038 0.11119510161714974
"1919" 769900 136888.6 3041 769899 136888.6 3040 0.11119510090982554
"1919" 769903 136888.8 3044 769902 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 11215

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 11215 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" 3237183 350.5 28 3237182 350.5 27
"43541" 3237194 811.7 39 3237193 811.7 38
"43541" 3237233 1779.8 78 3237232 1779.8 77
"43541" 3237277 3184.3 122 3237276 3184.3 121
"43541" 3237310 4418.1 155 3237309 4418.1 154
"43541" 3237326 4854.6 171 3237325 4854.6 170
"43541" 3237375 6561.9 220 3237374 6561.9 219
"43541" 3237411 7544.1 256 3237410 7544.1 255
"43541" 3237450 8757.6 295 3237449 8757.6 294
"43541" 3237467 9358.6 312 3237466 9358.6 311
"43541" 3237494 9709.1 339 3237493 9709.1 338
"43541" 3237540 10376.7 385 3237539 10376.7 384
"43541" 3237593 11116.1 438 3237592 11116.1 437
"43541" 3237624 11700.4 469 3237623 11700.4 468
"43541" 3237655 12284.8 500 3237654 12284.8 499
"43541" 3237916 14358.7 761 3237915 14358.7 760
"43541" 3237992 14706.8 837 3237991 14706.8 836
"43541" 3238092 15301.6 937 3238091 15301.6 936
"43541" 3238192 15896.4 1037 3238191 15896.4 1036
"43541" 3238268 16244.5 1113 3238267 16244.5 1112
"43541" 3238466 17133.2 1311 3238465 17133.2 1310
"43541" 3238709 18161.9 1554 3238708 18161.9 1553
"43541" 3238734 18472.3 1579 3238733 18472.3 1578
"43541" 3238784 18976.3 1629 3238783 18976.3 1628
"43541" 3238931 19673.4 1776 3238930 19673.4 1775
"43541" 3239160 21285.9 2005 3239159 21285.9 2004
"43541" 3239236 22756.6 2081 3239235 22756.6 2080
"43541" 3239312 24227.3 2157 3239311 24227.3 2156
"43541" 3239351 24719.6 2196 3239350 24719.6 2195
"43541" 3239368 25292.2 2213 3239367 25292.2 2212
"43541" 3239387 25625.9 2232 3239386 25625.9 2231
"43541" 3239475 26736.7 2320 3239474 26736.7 2319
"43541" 3239562 27236.5 2407 3239561 27236.5 2406
"43541" 3239611 28436.1 2456 3239610 28436.1 2455
"43541" 3239650 28928.5 2495 3239649 28928.5 2494
"43541" 3239701 29639.4 2546 3239700 29639.4 2545
"43541" 3239932 30811.2 2777 3239931 30811.2 2776
"43541" 3240008 31159.3 2853 3240007 31159.3 2852
"43541" 3240108 31754.1 2953 3240107 31754.1 2952
"43541" 3240208 32348.9 3053 3240207 32348.9 3052
"43541" 3240284 32697.0 3129 3240283 32697.0 3128
"43541" 3240482 33585.6 3327 3240481 33585.6 3326
"43541" 3240766 35228.5 3611 3240765 35228.5 3610
"43541" 3240819 35967.9 3664 3240818 35967.9 3663
"43541" 3240850 36552.2 3695 3240849 36552.2 3694
"43541" 3240881 37136.6 3726 3240880 37136.6 3725
"43531" 2251357 1036.1 44 2251356 1036.1 43
"43531" 2251386 1669.1 73 2251385 1669.1 72
"43531" 2251413 2285.2 100 2251412 2285.2 99
"43531" 2251454 4091.8 141 2251453 4091.8 140
expired_calendar WARNING 60

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 60 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
7740 "13743"
3829 "2499"
1894 "1256"
7705 "1294"
13373 "24601"
2 "1339"
3826 "2685"
13365 "12709"
5771 "1379"
13533 "61695"
7731 "2737"
9630 "2766"
9 "1461"
9642 "47502"
11471 "2814"
7735 "2849"
9809 "59439"
7736 "2852"
9632 "2850"
5786 "2980"
9631 "2975"
3827 "2974"
11470 "2972"
7751 "47985"
13359 "1954"
11479 "20239"
13368 "20237"
13367 "17222"
11477 "31530"
9637 "17343"
23 "43774"
13354 "678"
7704 "973"
13362 "3000"
3828 "3012"
13369 "13033"
1902 "13105"
12 "2009"
14 "2022"
9647 "48071"
26 "48073"
7723 "2066"
9646 "48062"
5784 "2111"
9629 "2123"
7725 "2137"
7766 "62494"
3819 "2158"
3822 "2175"
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.
26549 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 188995 17 "99227" "Krekenava" "14:03:00" 188996 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.
1787 "2699" "7597141"
1815 "2699" "7597182"
1912 "2699" "7597126"
1948 "2699" "7597138"
2131 "2699" "7597199"
2165 "2699" "7597200"
2242 "2699" "7597135"
2247 "2699" "7597165"
2311 "2699" "7597160"
2463 "2699" "7597180"
2559 "2699" "7597192"
2642 "2699" "7597167"
2646 "2699" "7597134"
2654 "2699" "7597206"
2660 "2699" "7597143"
2671 "2699" "7597190"
2707 "2699" "7597204"
2759 "2699" "7597142"
2787 "2699" "7597207"
2828 "2699" "7597021"
2915 "2699" "7597198"
2986 "2699" "7597184"
5451 "2699" "7597188"
5454 "2699" "7597203"
5462 "2699" "7597157"
5551 "2699" "7597210"
5559 "2699" "7597201"
5562 "2699" "7597172"
5601 "2699" "7597194"
5613 "2699" "7597131"
5631 "2699" "7597163"
5703 "2699" "7597164"
5713 "2699" "7597176"
5731 "2699" "7597137"
5813 "2699" "7597212"
5882 "2699" "7597170"
5919 "2699" "7597140"
6064 "2699" "7597191"
6069 "2699" "7597133"
6233 "2699" "7597147"
6415 "2699" "7597130"
6436 "2699" "7597181"
6469 "2699" "7597150"
6510 "2699" "7597136"
6551 "2699" "7597211"
6589 "2699" "7597208"
6649 "2699" "7597128"
6672 "2699" "7597186"
6716 "2699" "7597187"
6757 "2699" "7597156"
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 216

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 216 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_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 128
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 155
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 157
"routes.txt" "route_short_name" "3_VLP" 178
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 214
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 250
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 365
"routes.txt" "route_short_name" "5_VLP" 388
"routes.txt" "route_short_name" "40-DT" 391
"routes.txt" "route_short_name" "94AT" 479
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 568
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 570
"routes.txt" "route_short_name" "2_VLP" 584
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 603
"routes.txt" "route_short_name" "94-DC" 656
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 658
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 699
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 739
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 740
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 743
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 744
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 745
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 818
"routes.txt" "route_short_name" "70AC" 910
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 924
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 925
"routes.txt" "route_long_name" "JONAVA-KULVA" 929
"routes.txt" "route_short_name" "4_VLP" 946
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 980
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1096
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1131
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1134
"routes.txt" "route_short_name" "1A_VLP" 1154
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1217
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1256
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1259
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1293
"routes.txt" "route_short_name" "50AB" 1310
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1312
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1326
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1327
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1328
"routes.txt" "route_short_name" "2A_VLP" 1349
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1381
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1384
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1408
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1507
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1508
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1532
stop_too_far_from_shape WARNING 51

stop_too_far_from_shape

Stop too far from trip shape.

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

You can see more about this notice here.

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

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
6697 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
6036 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27714 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
6018 "43544" "8124133" 268385 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
6854 "43548" "8124139" 268423 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
1865 "26974" "7317012" 38583 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
1865 "26974" "7317012" 38584 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
1865 "26974" "7317012" 38599 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
2251 "16822" "2392140" 25084 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
2223 "16821" "2392136" 25028 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
2982 "16823" "2392142" 25123 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
6764 "18654" "3218451" 28259 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
2713 "32206" "7476584" 49978 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
2713 "32206" "7476584" 49979 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
2713 "32206" "7476584" 49980 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
2713 "32206" "7476584" 49983 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
2713 "32206" "7476584" 49988 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
27011 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27327 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
6896 "29420" "7429613" 44755 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2681 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7128 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7434 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6789 "14622" "7150733" 37533 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
2849 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27196 "29615" "7432118" 45163 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
6088 "29616" "7432119" 45211 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5129 "21886" "60_A4-01-6-241028-ba-0730" 530324 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
4819 "21885" "60_A2-02-6-060404-ab-1740" 529521 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
4739 "21887" "60_A2-01-7-060404-ab3-1100" 531100 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
4750 "21891" "60_A2-01-7-060404-ab2-0730" 530952 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
4731 "21865" "60_A2-01-7-060404-b3a-1150" 529948 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
4754 "21872" "60_A2-02-6-060404-b2a-2020" 530214 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
5595 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2528 "4710" "47248" 4648 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
5698 "4711" "47251" 4673 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
1884 "11705" "747606" 18176 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1672 "6511" "54507" 10612 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
6560 "6509" "54501" 10558 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
26746 "6513" "54509" 10636 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5777 "29093" "7413977" 42360 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
7165 "29092" "7413975" 42316 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
1730 "5232" "56646" 12604 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
1874 "44681" "8136901" 280265 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2560 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2350 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2868 "17131" "2515701" 25526 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
26394 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27830 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
6745 "15331" "2211799" 22304 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 14

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
7804 "3645" "57657" 14619 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14618 "12152" "Jonaičiai" [55.34641499999999,21.570023]
2253 "3667" "57730" 14758 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14757 "13926" "Jonaičiai" [55.346103,21.568929]
7324 "3714" "57736" 14832 "13926" "Jonaičiai" [55.346103,21.568929] 14831 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
27549 "13808" "1228372" 20960 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20959 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
7298 "26489" "7231018" 38111 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38110 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
7577 "35668" "7652364" 61630 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 61629 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
2425 "28435" "7339430" 40010 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40009 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
8214 "28434" "7339429" 39986 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39985 "64820" "Suostas" [56.32837775901334,24.713656830174433]
6034 "6591" "57635" 14279 "13926" "Jonaičiai" [55.346103,21.568929] 14278 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
1972 "3554" "57639" 14335 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14334 "12152" "Jonaičiai" [55.34641499999999,21.570023]
27195 "29102" "7413991" 42440 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42439 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
5538 "40377" "8016002" 102437 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 102436 "97223" "Tarvydai I" [55.328604,21.56423]
27017 "40378" "8016003" 102446 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 102445 "97223" "Tarvydai I" [55.328604,21.56423]
2496 "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