GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-03-23T06:11:08+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: 53
  • Blocks: 0
  • Routes: 1640
  • Shapes: 4142
  • Stops: 15786
  • Trips: 29163

Specification Compliance report

119311 notices reported (0 errors, 119278 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`.
256 "18329" 266 "6209" "M1" "Alytus - Geniai" 3 "48"
836 "16052" 1165 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
475 "3645" 1514 "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" 526605 29882.7 878 526604 29882.7 877 0.12791084993239907
"2328" 434308 35929.8 642 434307 35929.8 641 0.11119510090982554
"3659" 521655 49657.5 1177 521654 49657.5 1176 0.12791084993239907
"42205" 3525113 57850.1 335 3525112 57850.1 334 0.06178544815632574
"2369" 423112 63265.5 1261 423111 63265.5 1260 0.11119510090982554
"2385" 632569 69168.3 1771 632568 69168.3 1770 0.06441976500794575
"28733" 2421633 71509.2 1569 2421632 71509.2 1568 0.06441976500794575
"1919" 795299 136875.8 2842 795298 136875.8 2841 0.12752942403551987
"1919" 795302 136876.0 2845 795301 136876.0 2844 0.11119510090982554
"1919" 795309 136876.5 2852 795308 136876.5 2851 0.11119510232447394
"1919" 795312 136876.7 2855 795311 136876.7 2854 0.11119510161714974
"1919" 795315 136876.9 2858 795314 136876.9 2857 0.12752941555597483
"1919" 795324 136877.5 2867 795323 136877.5 2866 0.11119510090982554
"1919" 795327 136877.7 2870 795326 136877.7 2869 0.11119510161714974
"1919" 795330 136877.9 2873 795329 136877.9 2872 0.11119510090982554
"1919" 795337 136878.4 2880 795336 136878.4 2879 0.11119510090982554
"1919" 795340 136878.6 2883 795339 136878.6 2882 0.11119510161714974
"1919" 795349 136879.2 2892 795348 136879.2 2891 0.11119510090982554
"1919" 795352 136879.4 2895 795351 136879.4 2894 0.12752939825777979
"1919" 795355 136879.6 2898 795354 136879.6 2897 0.11119510161714974
"1919" 795364 136880.2 2907 795363 136880.2 2906 0.11119510161714974
"1919" 795368 136880.5 2911 795367 136880.5 2910 0.06244513630731429
"1919" 795374 136880.9 2917 795373 136880.9 2916 0.11119510161714974
"1919" 795377 136881.1 2920 795376 136881.1 2919 0.11119510090982554
"1919" 795380 136881.3 2923 795379 136881.3 2922 0.11119510090982554
"1919" 795389 136881.9 2932 795388 136881.9 2931 0.12752938095958766
"1919" 795392 136882.1 2935 795391 136882.1 2934 0.11119510161714974
"1919" 795403 136882.8 2946 795402 136882.8 2945 0.11119510161714974
"1919" 795408 136883.1 2951 795407 136883.1 2950 0.11119510161714974
"1919" 795416 136883.6 2959 795415 136883.6 2958 0.11119510090982554
"1919" 795421 136883.9 2964 795420 136883.9 2963 0.11119510090982554
"1919" 795434 136884.7 2977 795433 136884.7 2976 0.11119510161714974
"1919" 795436 136884.8 2979 795435 136884.8 2978 0.11119510090982554
"1919" 795439 136885.0 2982 795438 136885.0 2981 0.11119510161714974
"1919" 795447 136885.5 2990 795446 136885.5 2989 0.1275293557985862
"1919" 795449 136885.6 2992 795448 136885.6 2991 0.11119510161714974
"1919" 795452 136885.8 2995 795451 136885.8 2994 0.11119510090982554
"1919" 795454 136885.9 2997 795453 136885.9 2996 0.11119510232447394
"1919" 795460 136886.3 3003 795459 136886.3 3002 0.06244505260741443
"1919" 795465 136886.6 3008 795464 136886.6 3007 0.11119510161714974
"1919" 795467 136886.7 3010 795466 136886.7 3009 0.11119510090982554
"1919" 795470 136886.9 3013 795469 136886.9 3012 0.11119510090982554
"1919" 795472 136887.0 3015 795471 136887.0 3014 0.11119510090982554
"1919" 795478 136887.4 3021 795477 136887.4 3020 0.11119510090982554
"1919" 795480 136887.5 3023 795479 136887.5 3022 0.11119510161714974
"1919" 795483 136887.7 3026 795482 136887.7 3025 0.11119510090982554
"1919" 795485 136887.8 3028 795484 136887.8 3027 0.11119510161714974
"1919" 795496 136888.5 3039 795495 136888.5 3038 0.11119510161714974
"1919" 795498 136888.6 3041 795497 136888.6 3040 0.11119510090982554
"1919" 795501 136888.8 3044 795500 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 14560

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 14560 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" 3276566 350.5 28 3276565 350.5 27
"43541" 3276577 811.7 39 3276576 811.7 38
"43541" 3276616 1779.8 78 3276615 1779.8 77
"43541" 3276660 3184.3 122 3276659 3184.3 121
"43541" 3276693 4418.1 155 3276692 4418.1 154
"43541" 3276709 4854.6 171 3276708 4854.6 170
"43541" 3276758 6561.9 220 3276757 6561.9 219
"43541" 3276794 7544.1 256 3276793 7544.1 255
"43541" 3276833 8757.6 295 3276832 8757.6 294
"43541" 3276850 9358.6 312 3276849 9358.6 311
"43541" 3276877 9709.1 339 3276876 9709.1 338
"43541" 3276923 10376.7 385 3276922 10376.7 384
"43541" 3276976 11116.1 438 3276975 11116.1 437
"43541" 3277007 11700.4 469 3277006 11700.4 468
"43541" 3277038 12284.8 500 3277037 12284.8 499
"43541" 3277299 14358.7 761 3277298 14358.7 760
"43541" 3277375 14706.8 837 3277374 14706.8 836
"43541" 3277475 15301.6 937 3277474 15301.6 936
"43541" 3277575 15896.4 1037 3277574 15896.4 1036
"43541" 3277651 16244.5 1113 3277650 16244.5 1112
"43541" 3277849 17133.2 1311 3277848 17133.2 1310
"43541" 3278092 18161.9 1554 3278091 18161.9 1553
"43541" 3278117 18472.3 1579 3278116 18472.3 1578
"43541" 3278167 18976.3 1629 3278166 18976.3 1628
"43541" 3278314 19673.4 1776 3278313 19673.4 1775
"43541" 3278543 21285.9 2005 3278542 21285.9 2004
"43541" 3278619 22756.6 2081 3278618 22756.6 2080
"43541" 3278695 24227.3 2157 3278694 24227.3 2156
"43541" 3278734 24719.6 2196 3278733 24719.6 2195
"43541" 3278751 25292.2 2213 3278750 25292.2 2212
"43541" 3278770 25625.9 2232 3278769 25625.9 2231
"43541" 3278858 26736.7 2320 3278857 26736.7 2319
"43541" 3278945 27236.5 2407 3278944 27236.5 2406
"43541" 3278994 28436.1 2456 3278993 28436.1 2455
"43541" 3279033 28928.5 2495 3279032 28928.5 2494
"43541" 3279084 29639.4 2546 3279083 29639.4 2545
"43541" 3279315 30811.2 2777 3279314 30811.2 2776
"43541" 3279391 31159.3 2853 3279390 31159.3 2852
"43541" 3279491 31754.1 2953 3279490 31754.1 2952
"43541" 3279591 32348.9 3053 3279590 32348.9 3052
"43541" 3279667 32697.0 3129 3279666 32697.0 3128
"43541" 3279865 33585.6 3327 3279864 33585.6 3326
"43541" 3280149 35228.5 3611 3280148 35228.5 3610
"43541" 3280202 35967.9 3664 3280201 35967.9 3663
"43541" 3280233 36552.2 3695 3280232 36552.2 3694
"43541" 3280264 37136.6 3726 3280263 37136.6 3725
"43531" 2290787 1036.1 44 2290786 1036.1 43
"43531" 2290816 1669.1 73 2290815 1669.1 72
"43531" 2290843 2285.2 100 2290842 2285.2 99
"43531" 2290884 4091.8 141 2290883 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"
11944 "13743"
2972 "73341"
5882 "2499"
2920 "1256"
2916 "1271"
11909 "1294"
20706 "24601"
20700 "24602"
2 "1339"
5879 "2685"
20697 "12709"
8897 "1379"
11935 "2737"
14891 "2766"
9 "1461"
14904 "47502"
17770 "2814"
11939 "2849"
11940 "2852"
14893 "2850"
8912 "2980"
14892 "2975"
5880 "2974"
17769 "2972"
11955 "47985"
20691 "1954"
17778 "20239"
20701 "20237"
20699 "17222"
17776 "31530"
14899 "17343"
23 "43774"
20686 "678"
11908 "973"
54 "76307"
17816 "76308"
55 "76309"
20694 "3000"
5881 "3012"
20702 "13033"
2929 "13105"
14951 "76816"
12 "2009"
14 "2022"
14909 "48071"
26 "48073"
11927 "2066"
14908 "48062"
8910 "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.
26263 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 211405 17 "99227" "Krekenava" "14:03:00" 211406 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.
15019 "2699" "7597146"
15141 "2699" "7597161"
15160 "2699" "7597151"
15170 "2699" "7597197"
15459 "2699" "7597199"
15493 "2699" "7597200"
15594 "2699" "7597174"
15604 "2699" "7597139"
15776 "2699" "7597135"
15781 "2699" "7597165"
15887 "2699" "7597169"
15998 "2699" "7597188"
16001 "2699" "7597203"
16009 "2699" "7597157"
16044 "2699" "7597159"
16071 "2699" "7597160"
16187 "2699" "7597183"
16241 "2699" "7597148"
16317 "2699" "7597125"
16400 "2699" "7597158"
16457 "2699" "7597162"
16524 "2699" "7597180"
16578 "2699" "7597194"
16590 "2699" "7597131"
16608 "2699" "7597163"
16924 "2699" "7597192"
16995 "2699" "7597212"
17090 "2699" "7597177"
17149 "2699" "7597202"
17179 "2699" "7597154"
17307 "2699" "7597167"
17311 "2699" "7597134"
17320 "2699" "7597206"
17326 "2699" "7597143"
17336 "2699" "7597190"
17497 "2699" "7597210"
17505 "2699" "7597201"
17507 "2699" "7597172"
17598 "2699" "7597178"
17662 "2699" "7597204"
17712 "2699" "7597142"
17740 "2699" "7597207"
17852 "2699" "7597127"
17925 "2699" "7597166"
18008 "2699" "7597149"
18081 "2699" "7597021"
18222 "2699" "7597136"
18333 "2699" "7597193"
18342 "2699" "7597175"
18383 "2699" "7597198"
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\"" 53
"routes.txt" "route_short_name" "3_VLP" 15
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 16
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 17
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 116
"routes.txt" "route_short_name" "5_VLP" 210
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 213
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 214
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 216
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 290
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 315
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 316
"routes.txt" "route_short_name" "40-DT" 406
"routes.txt" "route_short_name" "2_VLP" 423
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 427
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 428
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 429
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 430
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 431
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 432
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 433
"routes.txt" "route_short_name" "94AT" 575
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 641
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 679
"routes.txt" "route_short_name" "94-DC" 727
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 734
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 745
"routes.txt" "route_short_name" "4_VLP" 833
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 834
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 889
"routes.txt" "route_short_name" "70AC" 999
"routes.txt" "route_short_name" "1A_VLP" 1048
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1091
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1097
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1110
"routes.txt" "route_short_name" "2A_VLP" 1233
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 1234
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1235
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1236
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1237
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1262
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1277
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1293
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1298
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1302
"routes.txt" "route_short_name" "50AB" 1370
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1394
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1402
"routes.txt" "route_short_name" "1_VLP" 1442
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1444
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.
18534 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17432 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16840 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17413 "43544" "8124133" 375119 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
19143 "43548" "8124139" 375157 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
15811 "26974" "7317016" 39652 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
15811 "26974" "7317016" 39653 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
15811 "26974" "7317016" 39668 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
15785 "16822" "2392140" 25533 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
15757 "16821" "2392136" 25477 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
16764 "16823" "2392141" 25552 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
18827 "18654" "3218451" 28729 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
15210 "32206" "7476583" 51218 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
15210 "32206" "7476583" 51219 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
15210 "32206" "7476583" 51220 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
15210 "32206" "7476583" 51223 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
15210 "32206" "7476583" 51228 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
19262 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18942 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
27872 "37872" "61_49W" 78743 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
19186 "29420" "7429613" 45937 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17346 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20066 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15216 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16289 "14622" "7150732" 38519 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
18104 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20166 "29615" "7432118" 46345 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
28837 "29616" "7432119" 46393 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
7131 "21886" "60_A2-02-1-241209-ba-0720" 78047 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
7138 "21885" "60_A2-02-1-241209-ab-0800" 74954 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
22260 "21887" "60_A2-01-7-251110-ab3-1430" 376525 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
21641 "21891" "60_A2-01-6-251110-ab2-0740" 378587 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
21487 "21865" "60_A2-01-7-251110-b3a-0920" 376322 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
14042 "21872" "60_A2-01-7-251110-b2a-0810" 376377 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
16572 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15367 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
15668 "4711" "47250" 4661 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
19405 "11705" "747606" 18625 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17589 "6511" "54508" 10624 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
18480 "6509" "54501" 10558 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19612 "6513" "54509" 10636 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16319 "29093" "7413976" 43482 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
20297 "29092" "7413975" 43452 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
16956 "5232" "48166" 5825 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
17769 "44681" "8136902" 389909 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
16925 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16110 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18123 "17131" "2515701" 25975 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
18626 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17212 "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.
15633 "3645" "57657" 14619 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14618 "12152" "Jonaičiai" [55.34641499999999,21.570023]
15787 "3667" "57730" 14758 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14757 "13926" "Jonaičiai" [55.346103,21.568929]
16239 "3714" "57735" 14816 "13926" "Jonaičiai" [55.346103,21.568929] 14815 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
16396 "13808" "1228372" 21409 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21408 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
20149 "26489" "7231018" 39112 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 39111 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
20441 "35668" "7652364" 63282 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 63281 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
16485 "28435" "7339430" 41134 "64819" "Suostas" [56.32837413018391,24.713657886432735] 41133 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
16267 "28434" "7339429" 41110 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 41109 "64820" "Suostas" [56.32837775901334,24.713656830174433]
17430 "6591" "57635" 14279 "13926" "Jonaičiai" [55.346103,21.568929] 14278 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
15806 "3554" "57643" 14423 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14422 "12152" "Jonaičiai" [55.34641499999999,21.570023]
20165 "29102" "7413991" 43576 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43575 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
17484 "40377" "8016002" 112702 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 112701 "97223" "Tarvydai I" [55.328604,21.56423]
19269 "40378" "8016003" 112711 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 112710 "97223" "Tarvydai I" [55.328604,21.56423]
16559 "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