GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-03-26T07:12:24+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: 1633
  • Shapes: 4149
  • Stops: 15796
  • Trips: 30260

Specification Compliance report

119826 notices reported (0 errors, 119793 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`.
255 "18329" 365 "6209" "M1" "Alytus - Geniai" 3 "48"
840 "16052" 1059 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
38 "20364" 1235 "20365" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
505 "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" 513773 29882.7 878 513772 29882.7 877 0.12791084993239907
"2328" 421476 35929.8 642 421475 35929.8 641 0.11119510090982554
"3659" 508823 49657.5 1177 508822 49657.5 1176 0.12791084993239907
"42205" 3571385 57850.1 335 3571384 57850.1 334 0.06178544815632574
"2369" 410280 63265.5 1261 410279 63265.5 1260 0.11119510090982554
"2385" 619737 69168.3 1771 619736 69168.3 1770 0.06441976500794575
"28733" 2404450 71509.2 1569 2404449 71509.2 1568 0.06441976500794575
"1919" 782467 136875.8 2842 782466 136875.8 2841 0.12752942403551987
"1919" 782470 136876.0 2845 782469 136876.0 2844 0.11119510090982554
"1919" 782477 136876.5 2852 782476 136876.5 2851 0.11119510232447394
"1919" 782480 136876.7 2855 782479 136876.7 2854 0.11119510161714974
"1919" 782483 136876.9 2858 782482 136876.9 2857 0.12752941555597483
"1919" 782492 136877.5 2867 782491 136877.5 2866 0.11119510090982554
"1919" 782495 136877.7 2870 782494 136877.7 2869 0.11119510161714974
"1919" 782498 136877.9 2873 782497 136877.9 2872 0.11119510090982554
"1919" 782505 136878.4 2880 782504 136878.4 2879 0.11119510090982554
"1919" 782508 136878.6 2883 782507 136878.6 2882 0.11119510161714974
"1919" 782517 136879.2 2892 782516 136879.2 2891 0.11119510090982554
"1919" 782520 136879.4 2895 782519 136879.4 2894 0.12752939825777979
"1919" 782523 136879.6 2898 782522 136879.6 2897 0.11119510161714974
"1919" 782532 136880.2 2907 782531 136880.2 2906 0.11119510161714974
"1919" 782536 136880.5 2911 782535 136880.5 2910 0.06244513630731429
"1919" 782542 136880.9 2917 782541 136880.9 2916 0.11119510161714974
"1919" 782545 136881.1 2920 782544 136881.1 2919 0.11119510090982554
"1919" 782548 136881.3 2923 782547 136881.3 2922 0.11119510090982554
"1919" 782557 136881.9 2932 782556 136881.9 2931 0.12752938095958766
"1919" 782560 136882.1 2935 782559 136882.1 2934 0.11119510161714974
"1919" 782571 136882.8 2946 782570 136882.8 2945 0.11119510161714974
"1919" 782576 136883.1 2951 782575 136883.1 2950 0.11119510161714974
"1919" 782584 136883.6 2959 782583 136883.6 2958 0.11119510090982554
"1919" 782589 136883.9 2964 782588 136883.9 2963 0.11119510090982554
"1919" 782602 136884.7 2977 782601 136884.7 2976 0.11119510161714974
"1919" 782604 136884.8 2979 782603 136884.8 2978 0.11119510090982554
"1919" 782607 136885.0 2982 782606 136885.0 2981 0.11119510161714974
"1919" 782615 136885.5 2990 782614 136885.5 2989 0.1275293557985862
"1919" 782617 136885.6 2992 782616 136885.6 2991 0.11119510161714974
"1919" 782620 136885.8 2995 782619 136885.8 2994 0.11119510090982554
"1919" 782622 136885.9 2997 782621 136885.9 2996 0.11119510232447394
"1919" 782628 136886.3 3003 782627 136886.3 3002 0.06244505260741443
"1919" 782633 136886.6 3008 782632 136886.6 3007 0.11119510161714974
"1919" 782635 136886.7 3010 782634 136886.7 3009 0.11119510090982554
"1919" 782638 136886.9 3013 782637 136886.9 3012 0.11119510090982554
"1919" 782640 136887.0 3015 782639 136887.0 3014 0.11119510090982554
"1919" 782646 136887.4 3021 782645 136887.4 3020 0.11119510090982554
"1919" 782648 136887.5 3023 782647 136887.5 3022 0.11119510161714974
"1919" 782651 136887.7 3026 782650 136887.7 3025 0.11119510090982554
"1919" 782653 136887.8 3028 782652 136887.8 3027 0.11119510161714974
"1919" 782664 136888.5 3039 782663 136888.5 3038 0.11119510161714974
"1919" 782666 136888.6 3041 782665 136888.6 3040 0.11119510090982554
"1919" 782669 136888.8 3044 782668 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 15068

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 15068 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" 3266135 350.5 28 3266134 350.5 27
"43541" 3266146 811.7 39 3266145 811.7 38
"43541" 3266185 1779.8 78 3266184 1779.8 77
"43541" 3266229 3184.3 122 3266228 3184.3 121
"43541" 3266262 4418.1 155 3266261 4418.1 154
"43541" 3266278 4854.6 171 3266277 4854.6 170
"43541" 3266327 6561.9 220 3266326 6561.9 219
"43541" 3266363 7544.1 256 3266362 7544.1 255
"43541" 3266402 8757.6 295 3266401 8757.6 294
"43541" 3266419 9358.6 312 3266418 9358.6 311
"43541" 3266446 9709.1 339 3266445 9709.1 338
"43541" 3266492 10376.7 385 3266491 10376.7 384
"43541" 3266545 11116.1 438 3266544 11116.1 437
"43541" 3266576 11700.4 469 3266575 11700.4 468
"43541" 3266607 12284.8 500 3266606 12284.8 499
"43541" 3266868 14358.7 761 3266867 14358.7 760
"43541" 3266944 14706.8 837 3266943 14706.8 836
"43541" 3267044 15301.6 937 3267043 15301.6 936
"43541" 3267144 15896.4 1037 3267143 15896.4 1036
"43541" 3267220 16244.5 1113 3267219 16244.5 1112
"43541" 3267418 17133.2 1311 3267417 17133.2 1310
"43541" 3267661 18161.9 1554 3267660 18161.9 1553
"43541" 3267686 18472.3 1579 3267685 18472.3 1578
"43541" 3267736 18976.3 1629 3267735 18976.3 1628
"43541" 3267883 19673.4 1776 3267882 19673.4 1775
"43541" 3268112 21285.9 2005 3268111 21285.9 2004
"43541" 3268188 22756.6 2081 3268187 22756.6 2080
"43541" 3268264 24227.3 2157 3268263 24227.3 2156
"43541" 3268303 24719.6 2196 3268302 24719.6 2195
"43541" 3268320 25292.2 2213 3268319 25292.2 2212
"43541" 3268339 25625.9 2232 3268338 25625.9 2231
"43541" 3268427 26736.7 2320 3268426 26736.7 2319
"43541" 3268514 27236.5 2407 3268513 27236.5 2406
"43541" 3268563 28436.1 2456 3268562 28436.1 2455
"43541" 3268602 28928.5 2495 3268601 28928.5 2494
"43541" 3268653 29639.4 2546 3268652 29639.4 2545
"43541" 3268884 30811.2 2777 3268883 30811.2 2776
"43541" 3268960 31159.3 2853 3268959 31159.3 2852
"43541" 3269060 31754.1 2953 3269059 31754.1 2952
"43541" 3269160 32348.9 3053 3269159 32348.9 3052
"43541" 3269236 32697.0 3129 3269235 32697.0 3128
"43541" 3269434 33585.6 3327 3269433 33585.6 3326
"43541" 3269718 35228.5 3611 3269717 35228.5 3610
"43541" 3269771 35967.9 3664 3269770 35967.9 3663
"43541" 3269802 36552.2 3695 3269801 36552.2 3694
"43541" 3269833 37136.6 3726 3269832 37136.6 3725
"43531" 2273604 1036.1 44 2273603 1036.1 43
"43531" 2273633 1669.1 73 2273632 1669.1 72
"43531" 2273660 2285.2 100 2273659 2285.2 99
"43531" 2273701 4091.8 141 2273700 4091.8 140
expired_calendar WARNING 73

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 73 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
12290 "13743"
3055 "73341"
6046 "2499"
3005 "1256"
3001 "1271"
12255 "1294"
21318 "24601"
21312 "24602"
2 "1339"
6043 "2685"
21309 "12709"
9150 "1379"
12281 "2737"
15313 "2766"
9 "1461"
15326 "47502"
18286 "2814"
12285 "2849"
12286 "2852"
15315 "2850"
9165 "2980"
15314 "2975"
6044 "2974"
18285 "2972"
12301 "47985"
21303 "1954"
18294 "20239"
21313 "20237"
21501 "69904"
21311 "17222"
18292 "31530"
15321 "17343"
23 "43774"
21298 "678"
3200 "78765"
3201 "78766"
9354 "78778"
15508 "66853"
176 "66854"
18461 "66855"
12468 "66856"
12254 "973"
54 "76307"
18334 "76308"
55 "76309"
21306 "3000"
6045 "3012"
21314 "13033"
3014 "13105"
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.
28304 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 209626 17 "99227" "Krekenava" "14:03:00" 209627 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.
19461 "2699" "7597129"
19472 "2699" "7597153"
19628 "2699" "7597173"
20026 "2699" "7597161"
20046 "2699" "7597151"
20056 "2699" "7597197"
20302 "2699" "7597199"
20337 "2699" "7597200"
20479 "2699" "7597174"
20489 "2699" "7597139"
20507 "2699" "7597185"
20516 "2699" "7597205"
20527 "2699" "7597145"
20618 "2699" "7597135"
20623 "2699" "7597165"
20688 "2699" "7597160"
20947 "2699" "7597180"
21086 "2699" "7597192"
21215 "2699" "7597167"
21219 "2699" "7597134"
21228 "2699" "7597206"
21234 "2699" "7597143"
21244 "2699" "7597190"
21314 "2699" "7597159"
21372 "2699" "7597158"
21403 "2699" "7597204"
21456 "2699" "7597142"
21484 "2699" "7597207"
21540 "2699" "7597162"
21642 "2699" "7597021"
21793 "2699" "7597154"
21865 "2699" "7597198"
22063 "2699" "7597178"
22080 "2699" "7597184"
22392 "2699" "7597149"
22488 "2699" "7597141"
22516 "2699" "7597182"
22650 "2699" "7597193"
22659 "2699" "7597175"
22761 "2699" "7597126"
22797 "2699" "7597138"
25117 "2699" "7597144"
25223 "2699" "7597150"
25408 "2699" "7597128"
25431 "2699" "7597186"
25499 "2699" "7597155"
25546 "2699" "7597146"
25717 "2699" "7597169"
25890 "2699" "7597183"
26039 "2699" "7597148"
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 306

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 306 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" 29
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 48
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 49
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 149
"routes.txt" "route_short_name" "5_VLP" 230
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 247
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 248
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 252
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 280
"routes.txt" "route_short_name" "40-DT" 329
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 334
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 340
"routes.txt" "route_short_name" "2_VLP" 434
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 450
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 451
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 452
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 453
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 454
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 455
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 456
"routes.txt" "route_short_name" "94AT" 557
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 667
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 686
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 689
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 695
"routes.txt" "route_short_name" "94-DC" 741
"routes.txt" "route_short_name" "4_VLP" 836
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 859
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 865
"routes.txt" "route_short_name" "70AC" 981
"routes.txt" "route_short_name" "1A_VLP" 1025
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1098
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1130
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1163
"routes.txt" "route_short_name" "2A_VLP" 1231
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1243
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1244
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1245
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 1246
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1247
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1251
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1253
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1260
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1271
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1355
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1364
"routes.txt" "route_short_name" "50AB" 1403
"routes.txt" "route_short_name" "1_VLP" 1445
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 1468
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.
27206 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
26620 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
21753 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
26503 "43544" "8124133" 372844 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
27457 "43548" "8124139" 372882 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
19436 "26974" "7317017" 39291 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
19436 "26974" "7317017" 39292 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
19436 "26974" "7317017" 39307 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
20627 "16822" "2392140" 25176 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
20599 "16821" "2392136" 25120 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
21546 "16823" "2392141" 25195 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
27272 "18654" "3218451" 28351 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
20136 "32206" "7476583" 50764 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
20136 "32206" "7476583" 50765 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
20136 "32206" "7476583" 50766 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
20136 "32206" "7476583" 50769 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
20136 "32206" "7476583" 50774 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
19921 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19494 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
9180 "37872" "61_49W" 77954 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
27596 "29420" "7429613" 45483 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
21254 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
25175 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20142 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26923 "14622" "7150732" 38141 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
21663 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20574 "29615" "7432118" 45891 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
27676 "29616" "7432119" 45939 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
4438 "21886" "60_A4-01-6-251110-ba-0730" 375305 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
3249 "21885" "60_A4-01-6-251110-ab-0700" 373845 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3244 "21887" "60_A2-01-7-251110-ab3-1100" 374573 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
10199 "21891" "60_A2-02-1-241209-ab2-2020" 73162 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
4937 "21865" "60_A2-01-7-251110-b3a-1150" 376159 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
3248 "21872" "60_A2-01-6-251110-b2a-1520" 374407 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
26069 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21054 "4710" "47248" 4648 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
25936 "4711" "47250" 4661 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
22734 "11705" "747606" 18268 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22053 "6511" "54508" 10624 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
27056 "6509" "54501" 10558 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
20251 "6513" "54509" 10636 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
26251 "29093" "7413977" 43042 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
19856 "29092" "7413975" 42998 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
21118 "5232" "48166" 5825 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
19558 "44681" "8136898" 387474 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
21087 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20779 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21682 "17131" "2515701" 25618 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
22721 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21827 "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.
25665 "3645" "57657" 14619 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14618 "12152" "Jonaičiai" [55.34641499999999,21.570023]
20629 "3667" "57730" 14758 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14757 "13926" "Jonaičiai" [55.346103,21.568929]
25381 "3714" "57736" 14832 "13926" "Jonaičiai" [55.346103,21.568929] 14831 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
21368 "13808" "1228372" 21052 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21051 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
25355 "26489" "7231018" 38734 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38733 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
25490 "35668" "7652364" 62493 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 62492 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
20909 "28435" "7339430" 40680 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40679 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
26900 "28434" "7339429" 40656 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40655 "64820" "Suostas" [56.32837775901334,24.713656830174433]
25373 "6591" "57636" 14295 "13926" "Jonaičiai" [55.346103,21.568929] 14294 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
19503 "3554" "57639" 14335 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14334 "12152" "Jonaičiai" [55.34641499999999,21.570023]
20573 "29102" "7413991" 43122 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43121 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
27116 "40377" "8016002" 111913 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 111912 "97223" "Tarvydai I" [55.328604,21.56423]
19927 "40378" "8016003" 111922 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 111921 "97223" "Tarvydai I" [55.328604,21.56423]
20982 "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