GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-24T06:07:32+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: 38
  • Blocks: 0
  • Routes: 1256
  • Shapes: 3219
  • Stops: 12341
  • Trips: 21870

Specification Compliance report

112405 notices reported (0 errors, 112372 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 3

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`.
174 "18329" 316 "6209" "M1" "Alytus - Geniai" 3 "48"
765 "16052" 864 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
399 "3645" 1133 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4148

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 4148 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" 481127 29882.7 878 481126 29882.7 877 0.12791084993239907
"2328" 390025 35929.8 642 390024 35929.8 641 0.11119510090982554
"3659" 476177 49657.5 1177 476176 49657.5 1176 0.12791084993239907
"2369" 375365 63265.5 1261 375364 63265.5 1260 0.11119510090982554
"2385" 584935 69168.3 1771 584934 69168.3 1770 0.06441976500794575
"28733" 2214208 71509.2 1569 2214207 71509.2 1568 0.06441976500794575
"1919" 749413 136875.8 2842 749412 136875.8 2841 0.12752942403551987
"1919" 749416 136876.0 2845 749415 136876.0 2844 0.11119510090982554
"1919" 749423 136876.5 2852 749422 136876.5 2851 0.11119510232447394
"1919" 749426 136876.7 2855 749425 136876.7 2854 0.11119510161714974
"1919" 749429 136876.9 2858 749428 136876.9 2857 0.12752941555597483
"1919" 749438 136877.5 2867 749437 136877.5 2866 0.11119510090982554
"1919" 749441 136877.7 2870 749440 136877.7 2869 0.11119510161714974
"1919" 749444 136877.9 2873 749443 136877.9 2872 0.11119510090982554
"1919" 749451 136878.4 2880 749450 136878.4 2879 0.11119510090982554
"1919" 749454 136878.6 2883 749453 136878.6 2882 0.11119510161714974
"1919" 749463 136879.2 2892 749462 136879.2 2891 0.11119510090982554
"1919" 749466 136879.4 2895 749465 136879.4 2894 0.12752939825777979
"1919" 749469 136879.6 2898 749468 136879.6 2897 0.11119510161714974
"1919" 749478 136880.2 2907 749477 136880.2 2906 0.11119510161714974
"1919" 749482 136880.5 2911 749481 136880.5 2910 0.06244513630731429
"1919" 749488 136880.9 2917 749487 136880.9 2916 0.11119510161714974
"1919" 749491 136881.1 2920 749490 136881.1 2919 0.11119510090982554
"1919" 749494 136881.3 2923 749493 136881.3 2922 0.11119510090982554
"1919" 749503 136881.9 2932 749502 136881.9 2931 0.12752938095958766
"1919" 749506 136882.1 2935 749505 136882.1 2934 0.11119510161714974
"1919" 749517 136882.8 2946 749516 136882.8 2945 0.11119510161714974
"1919" 749522 136883.1 2951 749521 136883.1 2950 0.11119510161714974
"1919" 749530 136883.6 2959 749529 136883.6 2958 0.11119510090982554
"1919" 749535 136883.9 2964 749534 136883.9 2963 0.11119510090982554
"1919" 749548 136884.7 2977 749547 136884.7 2976 0.11119510161714974
"1919" 749550 136884.8 2979 749549 136884.8 2978 0.11119510090982554
"1919" 749553 136885.0 2982 749552 136885.0 2981 0.11119510161714974
"1919" 749561 136885.5 2990 749560 136885.5 2989 0.1275293557985862
"1919" 749563 136885.6 2992 749562 136885.6 2991 0.11119510161714974
"1919" 749566 136885.8 2995 749565 136885.8 2994 0.11119510090982554
"1919" 749568 136885.9 2997 749567 136885.9 2996 0.11119510232447394
"1919" 749574 136886.3 3003 749573 136886.3 3002 0.06244505260741443
"1919" 749579 136886.6 3008 749578 136886.6 3007 0.11119510161714974
"1919" 749581 136886.7 3010 749580 136886.7 3009 0.11119510090982554
"1919" 749584 136886.9 3013 749583 136886.9 3012 0.11119510090982554
"1919" 749586 136887.0 3015 749585 136887.0 3014 0.11119510090982554
"1919" 749592 136887.4 3021 749591 136887.4 3020 0.11119510090982554
"1919" 749594 136887.5 3023 749593 136887.5 3022 0.11119510161714974
"1919" 749597 136887.7 3026 749596 136887.7 3025 0.11119510090982554
"1919" 749599 136887.8 3028 749598 136887.8 3027 0.11119510161714974
"1919" 749610 136888.5 3039 749609 136888.5 3038 0.11119510161714974
"1919" 749612 136888.6 3041 749611 136888.6 3040 0.11119510090982554
"1919" 749615 136888.8 3044 749614 136888.8 3043 0.11119510090982554
"1919" 749624 136889.4 3053 749623 136889.4 3052 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 7067

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 7067 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" 2894783 350.5 28 2894782 350.5 27
"43541" 2894794 811.7 39 2894793 811.7 38
"43541" 2894833 1779.8 78 2894832 1779.8 77
"43541" 2894877 3184.3 122 2894876 3184.3 121
"43541" 2894910 4418.1 155 2894909 4418.1 154
"43541" 2894926 4854.6 171 2894925 4854.6 170
"43541" 2894975 6561.9 220 2894974 6561.9 219
"43541" 2895011 7544.1 256 2895010 7544.1 255
"43541" 2895050 8757.6 295 2895049 8757.6 294
"43541" 2895067 9358.6 312 2895066 9358.6 311
"43541" 2895094 9709.1 339 2895093 9709.1 338
"43541" 2895140 10376.7 385 2895139 10376.7 384
"43541" 2895193 11116.1 438 2895192 11116.1 437
"43541" 2895224 11700.4 469 2895223 11700.4 468
"43541" 2895255 12284.8 500 2895254 12284.8 499
"43541" 2895516 14358.7 761 2895515 14358.7 760
"43541" 2895592 14706.8 837 2895591 14706.8 836
"43541" 2895692 15301.6 937 2895691 15301.6 936
"43541" 2895792 15896.4 1037 2895791 15896.4 1036
"43541" 2895868 16244.5 1113 2895867 16244.5 1112
"43541" 2896066 17133.2 1311 2896065 17133.2 1310
"43541" 2896309 18161.9 1554 2896308 18161.9 1553
"43541" 2896334 18472.3 1579 2896333 18472.3 1578
"43541" 2896384 18976.3 1629 2896383 18976.3 1628
"43541" 2896531 19673.4 1776 2896530 19673.4 1775
"43541" 2896760 21285.9 2005 2896759 21285.9 2004
"43541" 2896836 22756.6 2081 2896835 22756.6 2080
"43541" 2896912 24227.3 2157 2896911 24227.3 2156
"43541" 2896951 24719.6 2196 2896950 24719.6 2195
"43541" 2896968 25292.2 2213 2896967 25292.2 2212
"43541" 2896987 25625.9 2232 2896986 25625.9 2231
"43541" 2897075 26736.7 2320 2897074 26736.7 2319
"43541" 2897162 27236.5 2407 2897161 27236.5 2406
"43541" 2897211 28436.1 2456 2897210 28436.1 2455
"43541" 2897250 28928.5 2495 2897249 28928.5 2494
"43541" 2897301 29639.4 2546 2897300 29639.4 2545
"43541" 2897532 30811.2 2777 2897531 30811.2 2776
"43541" 2897608 31159.3 2853 2897607 31159.3 2852
"43541" 2897708 31754.1 2953 2897707 31754.1 2952
"43541" 2897808 32348.9 3053 2897807 32348.9 3052
"43541" 2897884 32697.0 3129 2897883 32697.0 3128
"43541" 2898082 33585.6 3327 2898081 33585.6 3326
"43541" 2898366 35228.5 3611 2898365 35228.5 3610
"43541" 2898419 35967.9 3664 2898418 35967.9 3663
"43541" 2898450 36552.2 3695 2898449 36552.2 3694
"43541" 2898481 37136.6 3726 2898480 37136.6 3725
"43537" 3030351 310.3 26 3030350 310.3 25
"43537" 3030364 811.7 39 3030363 811.7 38
"43537" 3030403 1779.8 78 3030402 1779.8 77
"43537" 3030447 3184.3 122 3030446 3184.3 121
expired_calendar WARNING 76

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 76 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
7488 "17222"
6436 "31530"
6 "1076"
5360 "17343"
2125 "2499"
23 "43774"
1059 "1256"
4299 "1294"
7489 "24602"
2 "1339"
2122 "2685"
7486 "12709"
3215 "1379"
4323 "2737"
5353 "2766"
1073 "60347"
8 "1461"
5365 "47502"
7477 "678"
6431 "2814"
4327 "2849"
4328 "2852"
5355 "2850"
3230 "2980"
5354 "2975"
2123 "2974"
6430 "2972"
4298 "973"
5381 "60928"
5376 "60959"
4338 "47985"
7482 "1954"
2143 "60890"
7484 "3000"
2124 "3012"
6438 "20239"
7490 "20237"
7491 "13033"
1064 "13105"
11 "2009"
13 "2022"
5370 "48071"
25 "48073"
4315 "2066"
7542 "76960"
2196 "76962"
6497 "76964"
5426 "76965"
1121 "76967"
7544 "76969"
fast_travel_between_consecutive_stops WARNING 2

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.
7096 "8093432" "17272" 196.9887428340989 3.283145713901648 234650 17 "99227" "Krekenava" "14:03:00" 234651 18 "99243" "Rabikiai" "14:03:00"
7471 "8091136" "17220" 196.9887428340989 3.283145713901648 216340 17 "98468" "Krekenava" "14:03:00" 216341 18 "98476" "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.
960 "2699" "7597169"
2767 "2699" "7597186"
2768 "2699" "7597187"
2769 "2699" "7597188"
2772 "2699" "7597189"
2799 "2699" "7597190"
2800 "2699" "7597191"
2801 "2699" "7597192"
2802 "2699" "7597193"
2803 "2699" "7597194"
2804 "2699" "7597195"
2806 "2699" "7597196"
2807 "2699" "7597197"
2808 "2699" "7597198"
3067 "2699" "7597021"
3125 "2699" "7597174"
3126 "2699" "7597180"
3129 "2699" "7597181"
3130 "2699" "7597175"
3131 "2699" "7597176"
3132 "2699" "7597177"
3133 "2699" "7597178"
3168 "2699" "7597182"
3169 "2699" "7597183"
3170 "2699" "7597184"
3171 "2699" "7597185"
4332 "2699" "7597199"
4334 "2699" "7597200"
4335 "2699" "7597201"
4336 "2699" "7597202"
4371 "2699" "7597203"
4373 "2699" "7597204"
4396 "2699" "7597205"
4397 "2699" "7597206"
4398 "2699" "7597207"
4399 "2699" "7597208"
4424 "2699" "7597209"
4425 "2699" "7597210"
4426 "2699" "7597211"
4427 "2699" "7597212"
4520 "2699" "7597170"
4521 "2699" "7597171"
4522 "2699" "7597172"
4523 "2699" "7597173"
9163 "2699" "7597164"
9166 "2699" "7597165"
9167 "2699" "7597166"
9168 "2699" "7597167"
9470 "2699" "7597128"
9471 "2699" "7597129"
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 "41979" 1
3 "41979" 2
4 "41979" 3
5 "41979" 4
6 "41980" 1
7 "41980" 2
8 "41980" 3
9 "41980" 4
10 "41981" 1
11 "41981" 2
12 "41981" 3
13 "41981" 4
14 "41982" 1
15 "41982" 2
16 "41982" 3
17 "41982" 4
18 "42101" 1
19 "42101" 2
20 "42101" 4
21 "42101" 5
22 "42101" 6
23 "42103" 1
24 "42103" 2
25 "42103" 4
26 "42103" 5
27 "42103" 6
28 "42105" 1
29 "42105" 2
30 "42105" 4
31 "42105" 5
32 "42203" 1
33 "42203" 2
34 "42203" 3
35 "42203" 4
36 "42203" 5
37 "42203" 6
38 "42203" 7
39 "42203" 8
40 "42203" 9
41 "42203" 10
42 "42203" 11
43 "42203" 12
44 "42203" 13
45 "42203" 14
46 "42203" 15
47 "42203" 16
48 "42203" 17
49 "42203" 18
50 "42203" 19
51 "42206" 1
mixed_case_recommended_field WARNING 884

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 884 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\"" 38
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 181
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 182
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 184
"routes.txt" "route_short_name" "40-DT" 213
"routes.txt" "route_short_name" "518_VLP" 225
"routes.txt" "route_short_name" "1A_VLP" 247
"routes.txt" "route_short_name" "523_VLP" 248
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 255
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 347
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 348
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 349
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 361
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 363
"routes.txt" "route_short_name" "2_VLP" 382
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 474
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 511
"routes.txt" "route_long_name" "JONAVA-KULVA" 520
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 560
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 583
"routes.txt" "route_long_name" "JONAVA-RUKLA" 653
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 654
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 662
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 798
"routes.txt" "route_short_name" "2A_VLP" 831
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 915
"routes.txt" "route_short_name" "50AB" 957
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 958
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 959
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 965
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 966
"routes.txt" "route_short_name" "1_VLP" 987
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1008
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1019
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1039
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1104
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1109
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1113
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1118
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1120
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1127
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1144
"routes.txt" "route_short_name" "4_VLP" 1157
"routes.txt" "route_short_name" "3_VLP" 1158
"routes.txt" "route_short_name" "787_VLP" 1164
"routes.txt" "route_short_name" "5_VLP" 1166
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1213
"stops.txt" "stop_name" "140 km" 176
"stops.txt" "stop_name" "4-asis fortas B" 612
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 651
stop_too_far_from_shape WARNING 60

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 60 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.
14088 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14089 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13805 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5620 "43544" "8124133" 384728 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
5625 "43548" "8124139" 384766 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
133 "26974" "7317012" 32250 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
133 "26974" "7317012" 32251 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
133 "26974" "7317012" 32266 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
7102 "29329" "7418310" 39528 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
19115 "29328" "7418309" 39505 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
18702 "37814" "7870743" 69098 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
14421 "6003" "52856" 6160 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
14390 "6005" "52858" 6169 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
14403 "6004" "52857" 6165 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
14336 "6007" "52859" 6176 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
14408 "6008" "52860" 6181 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
18643 "18654" "3218451" 22202 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
21168 "32206" "7476583" 45423 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
21168 "32206" "7476583" 45424 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
21168 "32206" "7476583" 45425 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
21168 "32206" "7476583" 45428 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
21168 "32206" "7476583" 45433 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
13849 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14057 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
3676 "37872" "7870674" 67702 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
6291 "29420" "7429613" 40065 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14076 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14085 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14049 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13671 "14622" "7150733" 31305 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
14067 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17415 "29615" "7432118" 40553 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
8083 "29616" "7432119" 40601 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
2026 "21886" "7846786" 61593 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
14903 "21885" "7846693" 60717 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
15756 "21887" "8128811" 386313 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
16499 "21891" "8128924" 388052 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
16198 "21865" "8128916" 387899 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
15639 "21872" "8128802" 386147 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
14576 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1994 "45952" "8147883" 394645 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
2135 "11705" "747606" 14578 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14431 "6511" "54507" 8746 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
14188 "6509" "54501" 8692 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
14433 "6513" "54509" 8770 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
18069 "29093" "7413976" 37367 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
18068 "29092" "7413975" 37337 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
14578 "5232" "48166" 5564 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
7047 "27242" "7324111" 33884 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
11376 "27240" "7322650" 33555 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
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.
14980 "3645" "57657" 10887 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10886 "12152" "Jonaičiai" [55.34641499999999,21.570023]
14957 "3667" "57730" 11026 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11025 "13926" "Jonaičiai" [55.346103,21.568929]
14639 "3714" "57735" 11084 "13926" "Jonaičiai" [55.346103,21.568929] 11083 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
13751 "13808" "1228372" 16309 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16308 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
13464 "17480" "2657524" 20885 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20884 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
17984 "28435" "7339430" 34973 "64819" "Suostas" [56.32837413018391,24.713657886432735] 34972 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
17983 "28434" "7339429" 34949 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 34948 "64820" "Suostas" [56.32837775901334,24.713656830174433]
14954 "6591" "57635" 10547 "13926" "Jonaičiai" [55.346103,21.568929] 10546 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
14438 "3554" "57640" 10625 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10624 "12152" "Jonaičiai" [55.34641499999999,21.570023]
10631 "29102" "7413991" 37461 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 37460 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
3124 "40377" "8016002" 100839 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 100838 "97223" "Tarvydai I" [55.328604,21.56423]
9441 "40378" "8016003" 100848 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 100847 "97223" "Tarvydai I" [55.328604,21.56423]
15227 "5353" "57618" 10375 "13926" "Jonaičiai" [55.346103,21.568929] 10374 "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