GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-01-23T06:08:22+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: 41
  • Blocks: 0
  • Routes: 1371
  • Shapes: 3541
  • Stops: 13619
  • Trips: 21815

Specification Compliance report

117420 notices reported (0 errors, 117387 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`.
230 "6209" 333 "18329" "M1" "Alytus - Geniai" 3 "48"
840 "16052" 956 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
351 "18822" 1227 "18790" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
411 "3645" 1230 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4151

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 4151 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" 512039 29882.7 878 512038 29882.7 877 0.12791084993239907
"2328" 416857 35929.8 642 416856 35929.8 641 0.11119510090982554
"3659" 507089 49657.5 1177 507088 49657.5 1176 0.12791084993239907
"42205" 3204490 57850.1 335 3204489 57850.1 334 0.06178544815632574
"2369" 402106 63265.5 1261 402105 63265.5 1260 0.11119510090982554
"2385" 617111 69168.3 1771 617110 69168.3 1770 0.06441976500794575
"28733" 2315459 71509.2 1569 2315458 71509.2 1568 0.06441976500794575
"1919" 783822 136875.8 2842 783821 136875.8 2841 0.12752942403551987
"1919" 783825 136876.0 2845 783824 136876.0 2844 0.11119510090982554
"1919" 783832 136876.5 2852 783831 136876.5 2851 0.11119510232447394
"1919" 783835 136876.7 2855 783834 136876.7 2854 0.11119510161714974
"1919" 783838 136876.9 2858 783837 136876.9 2857 0.12752941555597483
"1919" 783847 136877.5 2867 783846 136877.5 2866 0.11119510090982554
"1919" 783850 136877.7 2870 783849 136877.7 2869 0.11119510161714974
"1919" 783853 136877.9 2873 783852 136877.9 2872 0.11119510090982554
"1919" 783860 136878.4 2880 783859 136878.4 2879 0.11119510090982554
"1919" 783863 136878.6 2883 783862 136878.6 2882 0.11119510161714974
"1919" 783872 136879.2 2892 783871 136879.2 2891 0.11119510090982554
"1919" 783875 136879.4 2895 783874 136879.4 2894 0.12752939825777979
"1919" 783878 136879.6 2898 783877 136879.6 2897 0.11119510161714974
"1919" 783887 136880.2 2907 783886 136880.2 2906 0.11119510161714974
"1919" 783891 136880.5 2911 783890 136880.5 2910 0.06244513630731429
"1919" 783897 136880.9 2917 783896 136880.9 2916 0.11119510161714974
"1919" 783900 136881.1 2920 783899 136881.1 2919 0.11119510090982554
"1919" 783903 136881.3 2923 783902 136881.3 2922 0.11119510090982554
"1919" 783912 136881.9 2932 783911 136881.9 2931 0.12752938095958766
"1919" 783915 136882.1 2935 783914 136882.1 2934 0.11119510161714974
"1919" 783926 136882.8 2946 783925 136882.8 2945 0.11119510161714974
"1919" 783931 136883.1 2951 783930 136883.1 2950 0.11119510161714974
"1919" 783939 136883.6 2959 783938 136883.6 2958 0.11119510090982554
"1919" 783944 136883.9 2964 783943 136883.9 2963 0.11119510090982554
"1919" 783957 136884.7 2977 783956 136884.7 2976 0.11119510161714974
"1919" 783959 136884.8 2979 783958 136884.8 2978 0.11119510090982554
"1919" 783962 136885.0 2982 783961 136885.0 2981 0.11119510161714974
"1919" 783970 136885.5 2990 783969 136885.5 2989 0.1275293557985862
"1919" 783972 136885.6 2992 783971 136885.6 2991 0.11119510161714974
"1919" 783975 136885.8 2995 783974 136885.8 2994 0.11119510090982554
"1919" 783977 136885.9 2997 783976 136885.9 2996 0.11119510232447394
"1919" 783983 136886.3 3003 783982 136886.3 3002 0.06244505260741443
"1919" 783988 136886.6 3008 783987 136886.6 3007 0.11119510161714974
"1919" 783990 136886.7 3010 783989 136886.7 3009 0.11119510090982554
"1919" 783993 136886.9 3013 783992 136886.9 3012 0.11119510090982554
"1919" 783995 136887.0 3015 783994 136887.0 3014 0.11119510090982554
"1919" 784001 136887.4 3021 784000 136887.4 3020 0.11119510090982554
"1919" 784003 136887.5 3023 784002 136887.5 3022 0.11119510161714974
"1919" 784006 136887.7 3026 784005 136887.7 3025 0.11119510090982554
"1919" 784008 136887.8 3028 784007 136887.8 3027 0.11119510161714974
"1919" 784019 136888.5 3039 784018 136888.5 3038 0.11119510161714974
"1919" 784021 136888.6 3041 784020 136888.6 3040 0.11119510090982554
"1919" 784024 136888.8 3044 784023 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 11973

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 11973 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`.
"47933" 3006285 4675.3 38 3006284 4675.3 37
"47933" 3006287 5855.2 40 3006286 5855.2 39
"47933" 3006293 6814.0 46 3006292 6814.0 45
"47933" 3006297 8429.6 50 3006296 8429.6 49
"47933" 3006315 9917.0 68 3006314 9917.0 67
"47933" 3006333 11106.1 86 3006332 11106.1 85
"47933" 3006340 11716.2 93 3006339 11716.2 92
"47933" 3006346 12794.0 99 3006345 12794.0 98
"47933" 3006349 13380.6 102 3006348 13380.6 101
"47933" 3006351 13646.0 104 3006350 13646.0 103
"47933" 3006356 14462.9 109 3006355 14462.9 108
"47933" 3006365 15218.6 118 3006364 15218.6 117
"47933" 3006382 16593.9 135 3006381 16593.9 134
"47933" 3006391 17817.3 144 3006390 17817.3 143
"47933" 3006417 18755.4 170 3006416 18755.4 169
"47933" 3006436 19217.6 189 3006435 19217.6 188
"47933" 3006456 20840.3 209 3006455 20840.3 208
"47933" 3006470 22221.6 223 3006469 22221.6 222
"47934" 3006500 1807.0 30 3006499 1807.0 29
"47934" 3006530 3452.5 60 3006529 3452.5 59
"47934" 3006547 4217.0 77 3006546 4217.0 76
"47934" 3006562 5516.2 92 3006561 5516.2 91
"47934" 3006592 7228.2 122 3006591 7228.2 121
"47934" 3006602 7795.1 132 3006601 7795.1 131
"47934" 3006634 9412.6 164 3006633 9412.6 163
"47934" 3006639 10092.5 169 3006638 10092.5 168
"47934" 3006647 10723.8 177 3006646 10723.8 176
"47934" 3006653 11155.6 183 3006652 11155.6 182
"47934" 3006662 11778.2 192 3006661 11778.2 191
"47934" 3006675 12601.7 205 3006674 12601.7 204
"47934" 3006694 14623.9 224 3006693 14623.9 223
"47934" 3006722 16092.1 252 3006721 16092.1 251
"47934" 3006739 17022.4 269 3006738 17022.4 268
"47934" 3006760 19771.5 290 3006759 19771.5 289
"47934" 3006771 21225.1 301 3006770 21225.1 300
"47934" 3006781 22813.6 311 3006780 22813.6 310
"47934" 3006785 23506.3 315 3006784 23506.3 314
"47934" 3006792 24837.3 322 3006791 24837.3 321
"47934" 3006798 25504.4 328 3006797 25504.4 327
"47934" 3006803 26558.0 333 3006802 26558.0 332
"47934" 3006810 27713.2 340 3006809 27713.2 339
"47934" 3006824 28933.7 354 3006823 28933.7 353
"47934" 3006837 29688.6 367 3006836 29688.6 366
"47934" 3006849 31328.9 379 3006848 31328.9 378
"47934" 3006874 33319.9 404 3006873 33319.9 403
"47934" 3006883 35561.7 413 3006882 35561.7 412
"47934" 3006888 36509.6 418 3006887 36509.6 417
"47934" 3006908 39105.6 438 3006907 39105.6 437
"47934" 3006924 40369.4 454 3006923 40369.4 453
"47934" 3006928 41321.8 458 3006927 41321.8 457
expired_calendar WARNING 67

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 67 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
8044 "13743"
2016 "73341"
3968 "2499"
1963 "1256"
1959 "1271"
8009 "1294"
13944 "24602"
2 "1339"
3965 "2685"
13941 "12709"
6006 "1379"
8035 "2737"
10013 "2766"
1979 "60347"
8 "1461"
10026 "47502"
11988 "2814"
8039 "2849"
8040 "2852"
10015 "2850"
6021 "2980"
10014 "2975"
3966 "2974"
11987 "2972"
10039 "60928"
10035 "60959"
8053 "47985"
13935 "1954"
3993 "60890"
11996 "20239"
13945 "20237"
13943 "17222"
11994 "31530"
10021 "17343"
23 "43774"
13930 "678"
8008 "973"
60 "76307"
12042 "76308"
61 "76309"
13938 "3000"
3967 "3012"
13946 "13033"
1970 "13105"
10076 "76816"
11 "2009"
13 "2022"
10031 "48071"
25 "48073"
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.
14955 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 215384 17 "99227" "Krekenava" "14:03:00" 215385 18 "99243" "Rabikiai" "14:03:00"
20541 "65_APNV_416-45-3-250526-ab-1310" "17220" 196.9887428340989 3.283145713901648 197074 17 "98468" "Krekenava" "14:03:00" 197075 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.
7085 "2699" "7597148"
7114 "2699" "7597194"
7124 "2699" "7597131"
7162 "2699" "7597146"
7437 "2699" "7597188"
7440 "2699" "7597203"
7446 "2699" "7597157"
7564 "2699" "7597127"
7601 "2699" "7597204"
7641 "2699" "7597142"
7661 "2699" "7597207"
7669 "2699" "7597163"
7749 "2699" "7597212"
7794 "2699" "7597166"
7836 "2699" "7597177"
7863 "2699" "7597021"
8049 "2699" "7597202"
8102 "2699" "7597198"
8169 "2699" "7597184"
8285 "2699" "7597125"
8351 "2699" "7597210"
8529 "2699" "7597201"
8530 "2699" "7597172"
8571 "2699" "7597164"
8576 "2699" "7597176"
8592 "2699" "7597137"
8677 "2699" "7597141"
8709 "2699" "7597136"
8743 "2699" "7597211"
8772 "2699" "7597208"
8813 "2699" "7597170"
8844 "2699" "7597140"
8876 "2699" "7597182"
8951 "2699" "7597126"
8987 "2699" "7597187"
9022 "2699" "7597156"
9067 "2699" "7597191"
9071 "2699" "7597133"
9147 "2699" "7597138"
9213 "2699" "7597209"
9244 "2699" "7597189"
9259 "2699" "7597195"
9280 "2699" "7597171"
9305 "2699" "7597147"
9371 "2699" "7597130"
9505 "2699" "7597132"
9565 "2699" "7597181"
9588 "2699" "7597150"
9781 "2699" "7597196"
9801 "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 997

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 997 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\"" 41
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 167
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 168
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 169
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 170
"routes.txt" "route_short_name" "1A_VLP" 203
"routes.txt" "route_short_name" "523_VLP" 204
"routes.txt" "route_short_name" "518_VLP" 213
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 217
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 340
"routes.txt" "route_short_name" "40-DT" 350
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 358
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 359
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 360
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 361
"routes.txt" "route_short_name" "2_VLP" 375
"routes.txt" "route_short_name" "94AT" 520
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 526
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 527
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 528
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 529
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 559
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 564
"routes.txt" "route_short_name" "94-DC" 589
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 685
"routes.txt" "route_long_name" "JONAVA-KULVA" 686
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 687
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 743
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 842
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 844
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 845
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 846
"routes.txt" "route_short_name" "2A_VLP" 871
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 898
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 938
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 1015
"routes.txt" "route_short_name" "1_VLP" 1034
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1060
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1065
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1068
"routes.txt" "route_short_name" "50AB" 1095
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1145
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1188
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 1189
"routes.txt" "route_short_name" "4_VLP" 1212
"routes.txt" "route_short_name" "787_VLP" 1213
"routes.txt" "route_short_name" "3_VLP" 1217
"routes.txt" "route_short_name" "5_VLP" 1220
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1244
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1250
stop_too_far_from_shape WARNING 62

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 62 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.
8970 "3636" "45756" 3529 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8200 "3651" "45771" 3558 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15927 "3653" "45773" 3559 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8184 "43544" "8124133" 343578 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
9273 "43548" "8124139" 343616 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
8915 "26974" "7317012" 37011 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
8915 "26974" "7317012" 37012 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
8915 "26974" "7317012" 37027 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
18367 "47096" "57_1224-20260103" 400662 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
7306 "29329" "7418310" 44546 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
16526 "29328" "7418309" 44523 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
7134 "6003" "52856" 6511 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
8678 "6005" "52858" 6520 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
7847 "6004" "52857" 6516 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
9847 "6007" "52859" 6527 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
16833 "6008" "52860" 6532 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
10253 "16822" "2392139" 20789 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
8304 "16821" "2392135" 20741 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
8165 "16823" "2392142" 20846 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
9028 "18654" "3218451" 23014 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
7608 "32206" "7476584" 50474 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
7608 "32206" "7476584" 50475 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
7608 "32206" "7476584" 50476 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
7608 "32206" "7476584" 50479 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
7608 "32206" "7476584" 50484 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
16925 "3899" "46086" 3667 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16718 "3014" "43694" 2692 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
18604 "37872" "61_49W" 71713 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
9485 "29420" "7429613" 45083 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16036 "4529" "46899" 4490 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9969 "4527" "47691" 5679 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9734 "4528" "47692" 5680 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8082 "14622" "7150732" 36051 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
7882 "2821" "45017" 3453 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17230 "29615" "7432118" 45593 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
9086 "29616" "7432119" 45641 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
6866 "21886" "60_A4-01-6-251110-ba-0730" 345895 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
162 "21885" "60_A4-01-6-251110-ab-0700" 344435 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
158 "21887" "60_A2-01-7-251110-ab3-1100" 345163 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
10433 "21891" "60_A2-01-7-251110-ab2-0730" 344917 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
5021 "21865" "60_A2-01-7-251110-b3a-1150" 346749 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
161 "21872" "60_A2-01-6-251110-b2a-1520" 344997 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
7110 "3339" "46943" 4491 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8928 "11705" "747606" 15158 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8404 "6511" "54507" 9134 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
8749 "6509" "54501" 9080 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
17100 "6513" "54509" 9158 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
7715 "29093" "7413977" 42363 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
9659 "29092" "7413975" 42319 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
8120 "5232" "48167" 5970 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
stops_match_shape_out_of_order WARNING 12

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.
10101 "3645" "57657" 11359 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11358 "12152" "Jonaičiai" [55.34641499999999,21.570023]
15289 "3667" "57730" 11498 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11497 "13926" "Jonaičiai" [55.346103,21.568929]
7083 "3714" "57735" 11556 "13926" "Jonaičiai" [55.346103,21.568929] 11555 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
15643 "13808" "1228372" 16889 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16888 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
15503 "28435" "7339430" 39841 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39840 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
8065 "28434" "7339429" 39817 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39816 "64820" "Suostas" [56.32837775901334,24.713656830174433]
8198 "6591" "57635" 11019 "13926" "Jonaičiai" [55.346103,21.568929] 11018 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
9169 "3554" "57639" 11075 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11074 "12152" "Jonaičiai" [55.34641499999999,21.570023]
17229 "29102" "7413991" 42443 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42442 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
8343 "40377" "8016002" 94450 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 94449 "97223" "Tarvydai I" [55.328604,21.56423]
16932 "40378" "8016003" 94459 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 94458 "97223" "Tarvydai I" [55.328604,21.56423]
7787 "5353" "57623" 10881 "13926" "Jonaičiai" [55.346103,21.568929] 10880 "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