GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-07T06:08:25+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: 39
  • Blocks: 0
  • Routes: 1336
  • Shapes: 3566
  • Stops: 13537
  • Trips: 21857

Specification Compliance report

113475 notices reported (0 errors, 113442 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`.
278 "18144" 344 "18101" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
705 "16052" 907 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
384 "3645" 1252 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4149

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 4149 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" 499760 29882.7 878 499759 29882.7 877 0.12791084993239907
"2328" 408658 35929.8 642 408657 35929.8 641 0.11119510090982554
"3659" 494810 49657.5 1177 494809 49657.5 1176 0.12791084993239907
"42205" 3191130 57850.1 335 3191129 57850.1 334 0.06178544815632574
"2369" 393998 63265.5 1261 393997 63265.5 1260 0.11119510090982554
"2385" 603568 69168.3 1771 603567 69168.3 1770 0.06441976500794575
"28733" 2289887 71509.2 1569 2289886 71509.2 1568 0.06441976500794575
"1919" 769084 136875.8 2842 769083 136875.8 2841 0.12752942403551987
"1919" 769087 136876.0 2845 769086 136876.0 2844 0.11119510090982554
"1919" 769094 136876.5 2852 769093 136876.5 2851 0.11119510232447394
"1919" 769097 136876.7 2855 769096 136876.7 2854 0.11119510161714974
"1919" 769100 136876.9 2858 769099 136876.9 2857 0.12752941555597483
"1919" 769109 136877.5 2867 769108 136877.5 2866 0.11119510090982554
"1919" 769112 136877.7 2870 769111 136877.7 2869 0.11119510161714974
"1919" 769115 136877.9 2873 769114 136877.9 2872 0.11119510090982554
"1919" 769122 136878.4 2880 769121 136878.4 2879 0.11119510090982554
"1919" 769125 136878.6 2883 769124 136878.6 2882 0.11119510161714974
"1919" 769134 136879.2 2892 769133 136879.2 2891 0.11119510090982554
"1919" 769137 136879.4 2895 769136 136879.4 2894 0.12752939825777979
"1919" 769140 136879.6 2898 769139 136879.6 2897 0.11119510161714974
"1919" 769149 136880.2 2907 769148 136880.2 2906 0.11119510161714974
"1919" 769153 136880.5 2911 769152 136880.5 2910 0.06244513630731429
"1919" 769159 136880.9 2917 769158 136880.9 2916 0.11119510161714974
"1919" 769162 136881.1 2920 769161 136881.1 2919 0.11119510090982554
"1919" 769165 136881.3 2923 769164 136881.3 2922 0.11119510090982554
"1919" 769174 136881.9 2932 769173 136881.9 2931 0.12752938095958766
"1919" 769177 136882.1 2935 769176 136882.1 2934 0.11119510161714974
"1919" 769188 136882.8 2946 769187 136882.8 2945 0.11119510161714974
"1919" 769193 136883.1 2951 769192 136883.1 2950 0.11119510161714974
"1919" 769201 136883.6 2959 769200 136883.6 2958 0.11119510090982554
"1919" 769206 136883.9 2964 769205 136883.9 2963 0.11119510090982554
"1919" 769219 136884.7 2977 769218 136884.7 2976 0.11119510161714974
"1919" 769221 136884.8 2979 769220 136884.8 2978 0.11119510090982554
"1919" 769224 136885.0 2982 769223 136885.0 2981 0.11119510161714974
"1919" 769232 136885.5 2990 769231 136885.5 2989 0.1275293557985862
"1919" 769234 136885.6 2992 769233 136885.6 2991 0.11119510161714974
"1919" 769237 136885.8 2995 769236 136885.8 2994 0.11119510090982554
"1919" 769239 136885.9 2997 769238 136885.9 2996 0.11119510232447394
"1919" 769245 136886.3 3003 769244 136886.3 3002 0.06244505260741443
"1919" 769250 136886.6 3008 769249 136886.6 3007 0.11119510161714974
"1919" 769252 136886.7 3010 769251 136886.7 3009 0.11119510090982554
"1919" 769255 136886.9 3013 769254 136886.9 3012 0.11119510090982554
"1919" 769257 136887.0 3015 769256 136887.0 3014 0.11119510090982554
"1919" 769263 136887.4 3021 769262 136887.4 3020 0.11119510090982554
"1919" 769265 136887.5 3023 769264 136887.5 3022 0.11119510161714974
"1919" 769268 136887.7 3026 769267 136887.7 3025 0.11119510090982554
"1919" 769270 136887.8 3028 769269 136887.8 3027 0.11119510161714974
"1919" 769281 136888.5 3039 769280 136888.5 3038 0.11119510161714974
"1919" 769283 136888.6 3041 769282 136888.6 3040 0.11119510090982554
"1919" 769286 136888.8 3044 769285 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 8771

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 8771 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" 3060595 350.5 28 3060594 350.5 27
"43541" 3060606 811.7 39 3060605 811.7 38
"43541" 3060645 1779.8 78 3060644 1779.8 77
"43541" 3060689 3184.3 122 3060688 3184.3 121
"43541" 3060722 4418.1 155 3060721 4418.1 154
"43541" 3060738 4854.6 171 3060737 4854.6 170
"43541" 3060787 6561.9 220 3060786 6561.9 219
"43541" 3060823 7544.1 256 3060822 7544.1 255
"43541" 3060862 8757.6 295 3060861 8757.6 294
"43541" 3060879 9358.6 312 3060878 9358.6 311
"43541" 3060906 9709.1 339 3060905 9709.1 338
"43541" 3060952 10376.7 385 3060951 10376.7 384
"43541" 3061005 11116.1 438 3061004 11116.1 437
"43541" 3061036 11700.4 469 3061035 11700.4 468
"43541" 3061067 12284.8 500 3061066 12284.8 499
"43541" 3061328 14358.7 761 3061327 14358.7 760
"43541" 3061404 14706.8 837 3061403 14706.8 836
"43541" 3061504 15301.6 937 3061503 15301.6 936
"43541" 3061604 15896.4 1037 3061603 15896.4 1036
"43541" 3061680 16244.5 1113 3061679 16244.5 1112
"43541" 3061878 17133.2 1311 3061877 17133.2 1310
"43541" 3062121 18161.9 1554 3062120 18161.9 1553
"43541" 3062146 18472.3 1579 3062145 18472.3 1578
"43541" 3062196 18976.3 1629 3062195 18976.3 1628
"43541" 3062343 19673.4 1776 3062342 19673.4 1775
"43541" 3062572 21285.9 2005 3062571 21285.9 2004
"43541" 3062648 22756.6 2081 3062647 22756.6 2080
"43541" 3062724 24227.3 2157 3062723 24227.3 2156
"43541" 3062763 24719.6 2196 3062762 24719.6 2195
"43541" 3062780 25292.2 2213 3062779 25292.2 2212
"43541" 3062799 25625.9 2232 3062798 25625.9 2231
"43541" 3062887 26736.7 2320 3062886 26736.7 2319
"43541" 3062974 27236.5 2407 3062973 27236.5 2406
"43541" 3063023 28436.1 2456 3063022 28436.1 2455
"43541" 3063062 28928.5 2495 3063061 28928.5 2494
"43541" 3063113 29639.4 2546 3063112 29639.4 2545
"43541" 3063344 30811.2 2777 3063343 30811.2 2776
"43541" 3063420 31159.3 2853 3063419 31159.3 2852
"43541" 3063520 31754.1 2953 3063519 31754.1 2952
"43541" 3063620 32348.9 3053 3063619 32348.9 3052
"43541" 3063696 32697.0 3129 3063695 32697.0 3128
"43541" 3063894 33585.6 3327 3063893 33585.6 3326
"43541" 3064178 35228.5 3611 3064177 35228.5 3610
"43541" 3064231 35967.9 3664 3064230 35967.9 3663
"43541" 3064262 36552.2 3695 3064261 36552.2 3694
"43541" 3064293 37136.6 3726 3064292 37136.6 3725
"42206" 3191301 20641.7 108 3191300 20641.7 107
"42206" 3191324 24205.9 131 3191323 24205.9 130
"43537" 3200337 310.3 26 3200336 310.3 25
"43537" 3200350 811.7 39 3200349 811.7 38
expired_calendar WARNING 63

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 63 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
9416 "17222"
8109 "31530"
6 "1076"
1391 "73341"
6729 "17343"
2658 "2499"
23 "43774"
1335 "1256"
1331 "1271"
5390 "1294"
9417 "24602"
8123 "48594"
2 "1339"
2655 "2685"
9414 "12709"
4048 "1379"
5416 "2737"
6721 "2766"
1350 "60347"
8 "1461"
6734 "47502"
9405 "678"
8104 "2814"
5420 "2849"
5421 "2852"
6723 "2850"
4064 "2980"
6722 "2975"
2656 "2974"
8103 "2972"
5389 "973"
6751 "60928"
6748 "60959"
5432 "47985"
9410 "1954"
2680 "60890"
9412 "3000"
2657 "3012"
8111 "20239"
9418 "20237"
9419 "13033"
1341 "13105"
11 "2009"
13 "2022"
6740 "48071"
26 "48073"
5408 "2066"
6738 "48062"
4061 "2111"
6720 "2123"
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.
14830 "8093432" "17272" 196.9887428340989 3.283145713901648 245984 17 "99227" "Krekenava" "14:03:00" 245985 18 "99243" "Rabikiai" "14:03:00"
14588 "8091136" "17220" 196.9887428340989 3.283145713901648 227219 17 "98468" "Krekenava" "14:03:00" 227220 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.
670 "2699" "7597169"
5961 "2699" "7597182"
5962 "2699" "7597183"
5963 "2699" "7597184"
5964 "2699" "7597185"
5966 "2699" "7597133"
5967 "2699" "7597134"
5968 "2699" "7597135"
5969 "2699" "7597136"
5970 "2699" "7597137"
5971 "2699" "7597138"
5972 "2699" "7597139"
5987 "2699" "7597140"
6052 "2699" "7597141"
6053 "2699" "7597142"
6054 "2699" "7597143"
6055 "2699" "7597144"
6056 "2699" "7597145"
6057 "2699" "7597146"
6069 "2699" "7597170"
6070 "2699" "7597171"
6071 "2699" "7597172"
6072 "2699" "7597173"
6240 "2699" "7597147"
6275 "2699" "7597148"
6276 "2699" "7597149"
6349 "2699" "7597186"
6350 "2699" "7597187"
6393 "2699" "7597188"
6396 "2699" "7597189"
6423 "2699" "7597190"
6424 "2699" "7597191"
6425 "2699" "7597192"
6426 "2699" "7597193"
6427 "2699" "7597194"
6471 "2699" "7597195"
6473 "2699" "7597196"
6474 "2699" "7597197"
6475 "2699" "7597198"
6498 "2699" "7597199"
6500 "2699" "7597200"
6567 "2699" "7597201"
6568 "2699" "7597202"
6657 "2699" "7597203"
6659 "2699" "7597204"
6800 "2699" "7597205"
6801 "2699" "7597206"
6802 "2699" "7597207"
6803 "2699" "7597208"
6886 "2699" "7597209"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
missing_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "41979" 1
3 "41979" 2
4 "41979" 3
5 "41979" 4
6 "41980" 1
7 "41980" 2
8 "41980" 3
9 "41980" 4
10 "41981" 1
11 "41981" 2
12 "41981" 3
13 "41981" 4
14 "41982" 1
15 "41982" 2
16 "41982" 3
17 "41982" 4
18 "42101" 1
19 "42101" 2
20 "42101" 4
21 "42101" 5
22 "42101" 6
23 "42103" 1
24 "42103" 2
25 "42103" 4
26 "42103" 5
27 "42103" 6
28 "42105" 1
29 "42105" 2
30 "42105" 4
31 "42105" 5
32 "42203" 1
33 "42203" 2
34 "42203" 3
35 "42203" 4
36 "42203" 5
37 "42203" 6
38 "42203" 7
39 "42203" 8
40 "42203" 9
41 "42203" 10
42 "42203" 11
43 "42203" 12
44 "42203" 13
45 "42203" 14
46 "42203" 15
47 "42203" 16
48 "42203" 17
49 "42203" 18
50 "42203" 19
51 "42206" 1
mixed_case_recommended_field WARNING 262

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 262 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\"" 39
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 261
"routes.txt" "route_short_name" "518_VLP" 312
"routes.txt" "route_short_name" "1A_VLP" 318
"routes.txt" "route_short_name" "523_VLP" 319
"routes.txt" "route_short_name" "2_VLP" 465
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 511
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 516
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 678
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 901
"routes.txt" "route_short_name" "2A_VLP" 964
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1077
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1085
"routes.txt" "route_short_name" "1_VLP" 1127
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1139
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1167
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1190
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1194
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1259
"routes.txt" "route_short_name" "3_VLP" 1292
"routes.txt" "route_short_name" "4_VLP" 1297
"routes.txt" "route_short_name" "787_VLP" 1302
"routes.txt" "route_short_name" "5_VLP" 1304
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1317
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1320
"stops.txt" "stop_name" "2-asis fortas" 105
"stops.txt" "stop_name" "9-ojo forto muziejus" 611
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 640
"stops.txt" "stop_name" "4-asis fortas B" 685
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 704
"stops.txt" "stop_name" "7-asis kilometras A" 767
"stops.txt" "stop_name" "140 km" 940
"stops.txt" "stop_name" "3-ieji sodininkai" 1773
"stops.txt" "stop_name" "žieda" 1858
"stops.txt" "stop_name" "1-ojo forto g." 1945
"stops.txt" "stop_name" "19-as kilometras" 1969
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 2277
"stops.txt" "stop_name" "140 km" 2446
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 2622
"stops.txt" "stop_name" "16-sis kilometras" 2793
"stops.txt" "stop_name" "9 kilometras" 2912
"stops.txt" "stop_name" "9 kilometras" 2913
"stops.txt" "stop_name" "40 km" 2948
"stops.txt" "stop_name" "19-as kilometras" 3399
"stops.txt" "stop_name" "140 km" 3538
"stops.txt" "stop_name" "9-ojo forto muziejus" 3675
"stops.txt" "stop_name" "III km." 4226
"stops.txt" "stop_name" "32 kilometras" 4573
"stops.txt" "stop_name" "III km." 4606
"stops.txt" "stop_name" "40 km" 4700
stop_too_far_from_shape WARNING 59

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 59 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.
17716 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17717 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17353 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
10634 "43544" "8124133" 398705 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
10639 "43548" "8124139" 398743 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
7223 "26974" "7317010" 36822 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
7223 "26974" "7317010" 36823 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
7223 "26974" "7317010" 36838 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
14063 "29329" "7418310" 44282 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
1843 "29328" "7418309" 44259 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5397 "37814" "7870743" 77548 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
3086 "6003" "52856" 6188 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
3055 "6005" "52858" 6197 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
3068 "6004" "52857" 6193 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2855 "6007" "52859" 6204 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
3073 "6008" "52860" 6209 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
490 "18654" "3218451" 22310 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
7820 "32206" "7476583" 50195 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
7820 "32206" "7476583" 50196 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
7820 "32206" "7476583" 50197 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
7820 "32206" "7476583" 50200 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
7820 "32206" "7476583" 50205 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
17397 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17685 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
17837 "37872" "7870674" 76152 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
13889 "29420" "7429613" 44837 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17704 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17713 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17677 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
181 "14622" "7150732" 35896 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
17695 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1097 "29615" "7432118" 45325 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
15788 "29616" "7432119" 45373 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1100 "21886" "7847085" 72764 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1084 "21885" "7846992" 71880 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1721 "21887" "8128791" 399967 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1122 "21891" "7847352" 75217 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1526 "21865" "8128916" 401876 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1474 "21872" "8128828" 400536 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
18012 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2497 "11705" "747606" 14714 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3096 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2827 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3098 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
391 "29093" "7413976" 42059 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
390 "29092" "7413975" 42029 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
3795 "5232" "56646" 8900 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
12543 "27242" "7322653" 38207 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
12540 "27240" "7322650" 38161 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
12539 "27239" "7322649" 38153 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
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.
21180 "29269" "7429480" 44333 "22015" "Graužiečiai" [55.224458,24.844213] 44332 "21701" "Vaisgeliškiai" [55.21389948434742,24.843246782879064]
3557 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
3530 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
3109 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
17288 "13808" "1228372" 16445 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16444 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
5749 "17480" "2657524" 20993 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20992 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
14886 "28435" "7339430" 39579 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39578 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
14884 "28434" "7339429" 39555 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39554 "64820" "Suostas" [56.32837775901334,24.713656830174433]
3527 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
3103 "3554" "57640" 10653 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10652 "12152" "Jonaičiai" [55.34641499999999,21.570023]
11892 "29102" "7413991" 42153 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42152 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
7293 "40377" "8016002" 109373 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 109372 "97223" "Tarvydai I" [55.328604,21.56423]
21354 "40378" "8016003" 109382 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 109381 "97223" "Tarvydai I" [55.328604,21.56423]
3768 "5353" "57618" 10403 "13926" "Jonaičiai" [55.346103,21.568929] 10402 "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