GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-24T06:07:31+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: 53
  • Blocks: 0
  • Routes: 1627
  • Shapes: 4160
  • Stops: 15831
  • Trips: 29351

Specification Compliance report

120387 notices reported (0 errors, 120354 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`.
244 "18329" 364 "6209" "M1" "Alytus - Geniai" 3 "48"
846 "16052" 1131 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
494 "3645" 1477 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 3903

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 3903 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" 512017 29882.7 878 512016 29882.7 877 0.12791084993239907
"2328" 422929 35929.8 642 422928 35929.8 641 0.11119510090982554
"3659" 507067 49657.5 1177 507066 49657.5 1176 0.12791084993239907
"42205" 3585909 57850.1 335 3585908 57850.1 334 0.06178544815632574
"2369" 411733 63265.5 1261 411732 63265.5 1260 0.11119510090982554
"2385" 617981 69168.3 1771 617980 69168.3 1770 0.06441976500794575
"28733" 2371347 71509.2 1569 2371346 71509.2 1568 0.06441976500794575
"1919" 761331 136875.8 2842 761330 136875.8 2841 0.12752942403551987
"1919" 761334 136876.0 2845 761333 136876.0 2844 0.11119510090982554
"1919" 761341 136876.5 2852 761340 136876.5 2851 0.11119510232447394
"1919" 761344 136876.7 2855 761343 136876.7 2854 0.11119510161714974
"1919" 761347 136876.9 2858 761346 136876.9 2857 0.12752941555597483
"1919" 761356 136877.5 2867 761355 136877.5 2866 0.11119510090982554
"1919" 761359 136877.7 2870 761358 136877.7 2869 0.11119510161714974
"1919" 761362 136877.9 2873 761361 136877.9 2872 0.11119510090982554
"1919" 761369 136878.4 2880 761368 136878.4 2879 0.11119510090982554
"1919" 761372 136878.6 2883 761371 136878.6 2882 0.11119510161714974
"1919" 761381 136879.2 2892 761380 136879.2 2891 0.11119510090982554
"1919" 761384 136879.4 2895 761383 136879.4 2894 0.12752939825777979
"1919" 761387 136879.6 2898 761386 136879.6 2897 0.11119510161714974
"1919" 761396 136880.2 2907 761395 136880.2 2906 0.11119510161714974
"1919" 761400 136880.5 2911 761399 136880.5 2910 0.06244513630731429
"1919" 761406 136880.9 2917 761405 136880.9 2916 0.11119510161714974
"1919" 761409 136881.1 2920 761408 136881.1 2919 0.11119510090982554
"1919" 761412 136881.3 2923 761411 136881.3 2922 0.11119510090982554
"1919" 761421 136881.9 2932 761420 136881.9 2931 0.12752938095958766
"1919" 761424 136882.1 2935 761423 136882.1 2934 0.11119510161714974
"1919" 761435 136882.8 2946 761434 136882.8 2945 0.11119510161714974
"1919" 761440 136883.1 2951 761439 136883.1 2950 0.11119510161714974
"1919" 761448 136883.6 2959 761447 136883.6 2958 0.11119510090982554
"1919" 761453 136883.9 2964 761452 136883.9 2963 0.11119510090982554
"1919" 761466 136884.7 2977 761465 136884.7 2976 0.11119510161714974
"1919" 761468 136884.8 2979 761467 136884.8 2978 0.11119510090982554
"1919" 761471 136885.0 2982 761470 136885.0 2981 0.11119510161714974
"1919" 761479 136885.5 2990 761478 136885.5 2989 0.1275293557985862
"1919" 761481 136885.6 2992 761480 136885.6 2991 0.11119510161714974
"1919" 761484 136885.8 2995 761483 136885.8 2994 0.11119510090982554
"1919" 761486 136885.9 2997 761485 136885.9 2996 0.11119510232447394
"1919" 761492 136886.3 3003 761491 136886.3 3002 0.06244505260741443
"1919" 761497 136886.6 3008 761496 136886.6 3007 0.11119510161714974
"1919" 761499 136886.7 3010 761498 136886.7 3009 0.11119510090982554
"1919" 761502 136886.9 3013 761501 136886.9 3012 0.11119510090982554
"1919" 761504 136887.0 3015 761503 136887.0 3014 0.11119510090982554
"1919" 761510 136887.4 3021 761509 136887.4 3020 0.11119510090982554
"1919" 761512 136887.5 3023 761511 136887.5 3022 0.11119510161714974
"1919" 761515 136887.7 3026 761514 136887.7 3025 0.11119510090982554
"1919" 761517 136887.8 3028 761516 136887.8 3027 0.11119510161714974
"1919" 761528 136888.5 3039 761527 136888.5 3038 0.11119510161714974
"1919" 761530 136888.6 3041 761529 136888.6 3040 0.11119510090982554
"1919" 761533 136888.8 3044 761532 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 15897

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 15897 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" 3267214 350.5 28 3267213 350.5 27
"43541" 3267225 811.7 39 3267224 811.7 38
"43541" 3267264 1779.8 78 3267263 1779.8 77
"43541" 3267308 3184.3 122 3267307 3184.3 121
"43541" 3267341 4418.1 155 3267340 4418.1 154
"43541" 3267357 4854.6 171 3267356 4854.6 170
"43541" 3267406 6561.9 220 3267405 6561.9 219
"43541" 3267442 7544.1 256 3267441 7544.1 255
"43541" 3267481 8757.6 295 3267480 8757.6 294
"43541" 3267498 9358.6 312 3267497 9358.6 311
"43541" 3267525 9709.1 339 3267524 9709.1 338
"43541" 3267571 10376.7 385 3267570 10376.7 384
"43541" 3267624 11116.1 438 3267623 11116.1 437
"43541" 3267655 11700.4 469 3267654 11700.4 468
"43541" 3267686 12284.8 500 3267685 12284.8 499
"43541" 3267947 14358.7 761 3267946 14358.7 760
"43541" 3268023 14706.8 837 3268022 14706.8 836
"43541" 3268123 15301.6 937 3268122 15301.6 936
"43541" 3268223 15896.4 1037 3268222 15896.4 1036
"43541" 3268299 16244.5 1113 3268298 16244.5 1112
"43541" 3268497 17133.2 1311 3268496 17133.2 1310
"43541" 3268740 18161.9 1554 3268739 18161.9 1553
"43541" 3268765 18472.3 1579 3268764 18472.3 1578
"43541" 3268815 18976.3 1629 3268814 18976.3 1628
"43541" 3268962 19673.4 1776 3268961 19673.4 1775
"43541" 3269191 21285.9 2005 3269190 21285.9 2004
"43541" 3269267 22756.6 2081 3269266 22756.6 2080
"43541" 3269343 24227.3 2157 3269342 24227.3 2156
"43541" 3269382 24719.6 2196 3269381 24719.6 2195
"43541" 3269399 25292.2 2213 3269398 25292.2 2212
"43541" 3269418 25625.9 2232 3269417 25625.9 2231
"43541" 3269506 26736.7 2320 3269505 26736.7 2319
"43541" 3269593 27236.5 2407 3269592 27236.5 2406
"43541" 3269642 28436.1 2456 3269641 28436.1 2455
"43541" 3269681 28928.5 2495 3269680 28928.5 2494
"43541" 3269732 29639.4 2546 3269731 29639.4 2545
"43541" 3269963 30811.2 2777 3269962 30811.2 2776
"43541" 3270039 31159.3 2853 3270038 31159.3 2852
"43541" 3270139 31754.1 2953 3270138 31754.1 2952
"43541" 3270239 32348.9 3053 3270238 32348.9 3052
"43541" 3270315 32697.0 3129 3270314 32697.0 3128
"43541" 3270513 33585.6 3327 3270512 33585.6 3326
"43541" 3270797 35228.5 3611 3270796 35228.5 3610
"43541" 3270850 35967.9 3664 3270849 35967.9 3663
"43541" 3270881 36552.2 3695 3270880 36552.2 3694
"43541" 3270912 37136.6 3726 3270911 37136.6 3725
"43531" 2232343 1036.1 44 2232342 1036.1 43
"43531" 2232372 1669.1 73 2232371 1669.1 72
"43531" 2232399 2285.2 100 2232398 2285.2 99
"43531" 2232440 4091.8 141 2232439 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"
3426 "73341"
3372 "1256"
3368 "1271"
13780 "1294"
23943 "24601"
2 "1339"
23935 "12709"
10310 "1379"
9 "1461"
23929 "1954"
20543 "20239"
23938 "20237"
23937 "17222"
17227 "17343"
45 "76307"
20577 "76308"
46 "76309"
23939 "13033"
3381 "13105"
17261 "76816"
12 "2009"
14 "2022"
13798 "2066"
10323 "2111"
17218 "2123"
13800 "2137"
13838 "62494"
6804 "2158"
6807 "2175"
6809 "2173"
20528 "2206"
6810 "2205"
13802 "2218"
17216 "2217"
20531 "2216"
17212 "2213"
23928 "2224"
10326 "2285"
13815 "13743"
6814 "2499"
6811 "2685"
13806 "2737"
17219 "2766"
17232 "47502"
20535 "2814"
13810 "2849"
13811 "2852"
17221 "2850"
10325 "2980"
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.
1483 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 163653 17 "99227" "Krekenava" "14:03:00" 163654 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.
17897 "2699" "7597193"
17907 "2699" "7597175"
17951 "2699" "7597127"
18026 "2699" "7597166"
18197 "2699" "7597169"
18379 "2699" "7597177"
18437 "2699" "7597180"
18568 "2699" "7597183"
18620 "2699" "7597148"
18742 "2699" "7597202"
18826 "2699" "7597125"
18843 "2699" "7597192"
18933 "2699" "7597167"
18962 "2699" "7597194"
18973 "2699" "7597131"
18991 "2699" "7597163"
19035 "2699" "7597136"
19076 "2699" "7597211"
19114 "2699" "7597208"
19202 "2699" "7597210"
19210 "2699" "7597201"
19212 "2699" "7597172"
19228 "2699" "7597134"
19237 "2699" "7597206"
19243 "2699" "7597143"
19254 "2699" "7597190"
19291 "2699" "7597204"
19369 "2699" "7597212"
19455 "2699" "7597187"
19496 "2699" "7597156"
19553 "2699" "7597164"
19564 "2699" "7597176"
19582 "2699" "7597137"
19638 "2699" "7597142"
19667 "2699" "7597207"
19707 "2699" "7597021"
19816 "2699" "7597209"
19855 "2699" "7597189"
19873 "2699" "7597195"
19900 "2699" "7597171"
19932 "2699" "7597170"
19972 "2699" "7597140"
20089 "2699" "7597198"
20165 "2699" "7597132"
20301 "2699" "7597129"
20361 "2699" "7597184"
20517 "2699" "7597196"
20541 "2699" "7597153"
20594 "2699" "7597173"
20751 "2699" "7597144"
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 304

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 304 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_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 35
"routes.txt" "route_short_name" "3_VLP" 36
"routes.txt" "route_long_name" "JONAVA-KULVA" 37
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 38
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 39
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 41
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 44
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 45
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 120
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 245
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 246
"routes.txt" "route_long_name" "JONAVA-RUKLA" 247
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 249
"routes.txt" "route_short_name" "5_VLP" 250
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 260
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 277
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 325
"routes.txt" "route_short_name" "40-DT" 404
"routes.txt" "route_short_name" "2_VLP" 445
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 449
"routes.txt" "route_short_name" "94AT" 544
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 653
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 654
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 655
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 656
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 677
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 719
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 723
"routes.txt" "route_short_name" "94-DC" 729
"routes.txt" "route_short_name" "4_VLP" 847
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 848
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 851
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 962
"routes.txt" "route_short_name" "70AC" 976
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1037
"routes.txt" "route_short_name" "1A_VLP" 1038
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 1039
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1111
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1134
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1187
"routes.txt" "route_short_name" "2A_VLP" 1249
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1273
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1292
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1302
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1352
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1366
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1367
"routes.txt" "route_short_name" "50AB" 1409
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 1453
stop_too_far_from_shape WARNING 48

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.

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.
19434 "3636" "45756" 2666 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19808 "3651" "45771" 2695 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22159 "3653" "45773" 2696 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19788 "43544" "8124133" 225811 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
19892 "43548" "8124139" 225849 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
17929 "26974" "7317010" 41457 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
17929 "26974" "7317010" 41458 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
17929 "26974" "7317010" 41473 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
19504 "18654" "3218451" 27976 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
17922 "32206" "7476586" 52641 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
17922 "32206" "7476586" 52642 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
17922 "32206" "7476586" 52643 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
17922 "32206" "7476586" 52646 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
17922 "32206" "7476586" 52651 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
20906 "3899" "46086" 2804 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20565 "3014" "43694" 1918 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
20136 "29420" "7429613" 47720 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19265 "4529" "46899" 3740 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20812 "4527" "47691" 5254 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22839 "4528" "47692" 5255 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18790 "14622" "7150732" 40426 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
20019 "2821" "45017" 2590 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21942 "29615" "7432118" 48128 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
29010 "29616" "7432119" 48176 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
6890 "21886" "60_A2-02-1-241209-ba-0720" 76987 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
4798 "21885" "60_A4-01-6-241028-ab-2150" 435544 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
12622 "21887" "60_A2-01-7-060404-ab3-1100" 436213 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7895 "21891" "60_A2-01-1-241209-ab2-1640" 76822 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
4783 "21865" "60_A2-01-7-060404-b3a-0920" 434697 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
4594 "21872" "60_A2-02-6-060404-b2a-1810" 436326 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
18954 "3339" "46943" 3741 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18509 "4710" "47248" 4460 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
19547 "4711" "47251" 4485 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
21311 "11705" "747606" 18142 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20676 "6511" "54507" 10452 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19085 "6509" "54501" 10398 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
21242 "6513" "54509" 10476 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
18827 "29093" "7413976" 45326 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
22447 "29092" "7413975" 45296 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
18878 "5232" "48166" 5665 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
18282 "44681" "8136902" 237047 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
18844 "3514" "45563" 2613 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23602 "3537" "45591" 2638 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20039 "17131" "2515701" 25315 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
20238 "3574" "45644" 2639 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22535 "3617" "45754" 2665 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19484 "15331" "2211799" 22242 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
21267 "15330" "2211797" 22229 "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.
18145 "3645" "57657" 14459 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14458 "12152" "Jonaičiai" [55.34641499999999,21.570023]
23199 "3667" "57730" 14598 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14597 "13926" "Jonaičiai" [55.346103,21.568929]
18619 "3714" "57735" 14656 "13926" "Jonaičiai" [55.346103,21.568929] 14655 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
21418 "13808" "1228372" 20926 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20925 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
21111 "26489" "7231018" 41019 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 41018 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
21475 "35668" "7652364" 63662 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 63661 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
18106 "28435" "7339430" 42918 "64819" "Suostas" [56.32837413018391,24.713657886432735] 42917 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
18765 "28434" "7339429" 42894 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 42893 "64820" "Suostas" [56.32837775901334,24.713656830174433]
19805 "6591" "57635" 14119 "13926" "Jonaičiai" [55.346103,21.568929] 14118 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
21673 "3554" "57639" 14175 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14174 "12152" "Jonaičiai" [55.34641499999999,21.570023]
21941 "29102" "7413991" 45420 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 45419 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
19188 "40377" "8016002" 101198 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 101197 "97223" "Tarvydai I" [55.328604,21.56423]
20912 "40378" "8016003" 101207 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 101206 "97223" "Tarvydai I" [55.328604,21.56423]
18015 "5353" "57623" 13981 "13926" "Jonaičiai" [55.346103,21.568929] 13980 "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