GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-01-09T06:08:10+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: 38
  • Blocks: 0
  • Routes: 1267
  • Shapes: 3252
  • Stops: 12790
  • Trips: 20758

Specification Compliance report

116408 notices reported (0 errors, 116375 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`.
285 "6209" 315 "18329" "M1" "Alytus - Geniai" 3 "48"
648 "16052" 859 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
398 "3645" 1197 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4148

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 4148 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" 479051 29882.7 878 479050 29882.7 877 0.12791084993239907
"2328" 387949 35929.8 642 387948 35929.8 641 0.11119510090982554
"3659" 474101 49657.5 1177 474100 49657.5 1176 0.12791084993239907
"42205" 3075702 57850.1 335 3075701 57850.1 334 0.06178544815632574
"2369" 373827 63265.5 1261 373826 63265.5 1260 0.11119510090982554
"2385" 582859 69168.3 1771 582858 69168.3 1770 0.06441976500794575
"28733" 2220504 71509.2 1569 2220503 71509.2 1568 0.06441976500794575
"1919" 747190 136875.8 2842 747189 136875.8 2841 0.12752942403551987
"1919" 747193 136876.0 2845 747192 136876.0 2844 0.11119510090982554
"1919" 747200 136876.5 2852 747199 136876.5 2851 0.11119510232447394
"1919" 747203 136876.7 2855 747202 136876.7 2854 0.11119510161714974
"1919" 747206 136876.9 2858 747205 136876.9 2857 0.12752941555597483
"1919" 747215 136877.5 2867 747214 136877.5 2866 0.11119510090982554
"1919" 747218 136877.7 2870 747217 136877.7 2869 0.11119510161714974
"1919" 747221 136877.9 2873 747220 136877.9 2872 0.11119510090982554
"1919" 747228 136878.4 2880 747227 136878.4 2879 0.11119510090982554
"1919" 747231 136878.6 2883 747230 136878.6 2882 0.11119510161714974
"1919" 747240 136879.2 2892 747239 136879.2 2891 0.11119510090982554
"1919" 747243 136879.4 2895 747242 136879.4 2894 0.12752939825777979
"1919" 747246 136879.6 2898 747245 136879.6 2897 0.11119510161714974
"1919" 747255 136880.2 2907 747254 136880.2 2906 0.11119510161714974
"1919" 747259 136880.5 2911 747258 136880.5 2910 0.06244513630731429
"1919" 747265 136880.9 2917 747264 136880.9 2916 0.11119510161714974
"1919" 747268 136881.1 2920 747267 136881.1 2919 0.11119510090982554
"1919" 747271 136881.3 2923 747270 136881.3 2922 0.11119510090982554
"1919" 747280 136881.9 2932 747279 136881.9 2931 0.12752938095958766
"1919" 747283 136882.1 2935 747282 136882.1 2934 0.11119510161714974
"1919" 747294 136882.8 2946 747293 136882.8 2945 0.11119510161714974
"1919" 747299 136883.1 2951 747298 136883.1 2950 0.11119510161714974
"1919" 747307 136883.6 2959 747306 136883.6 2958 0.11119510090982554
"1919" 747312 136883.9 2964 747311 136883.9 2963 0.11119510090982554
"1919" 747325 136884.7 2977 747324 136884.7 2976 0.11119510161714974
"1919" 747327 136884.8 2979 747326 136884.8 2978 0.11119510090982554
"1919" 747330 136885.0 2982 747329 136885.0 2981 0.11119510161714974
"1919" 747338 136885.5 2990 747337 136885.5 2989 0.1275293557985862
"1919" 747340 136885.6 2992 747339 136885.6 2991 0.11119510161714974
"1919" 747343 136885.8 2995 747342 136885.8 2994 0.11119510090982554
"1919" 747345 136885.9 2997 747344 136885.9 2996 0.11119510232447394
"1919" 747351 136886.3 3003 747350 136886.3 3002 0.06244505260741443
"1919" 747356 136886.6 3008 747355 136886.6 3007 0.11119510161714974
"1919" 747358 136886.7 3010 747357 136886.7 3009 0.11119510090982554
"1919" 747361 136886.9 3013 747360 136886.9 3012 0.11119510090982554
"1919" 747363 136887.0 3015 747362 136887.0 3014 0.11119510090982554
"1919" 747369 136887.4 3021 747368 136887.4 3020 0.11119510090982554
"1919" 747371 136887.5 3023 747370 136887.5 3022 0.11119510161714974
"1919" 747374 136887.7 3026 747373 136887.7 3025 0.11119510090982554
"1919" 747376 136887.8 3028 747375 136887.8 3027 0.11119510161714974
"1919" 747387 136888.5 3039 747386 136888.5 3038 0.11119510161714974
"1919" 747389 136888.6 3041 747388 136888.6 3040 0.11119510090982554
"1919" 747392 136888.8 3044 747391 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 11012

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 11012 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" 2926960 350.5 28 2926959 350.5 27
"43541" 2926971 811.7 39 2926970 811.7 38
"43541" 2927010 1779.8 78 2927009 1779.8 77
"43541" 2927054 3184.3 122 2927053 3184.3 121
"43541" 2927087 4418.1 155 2927086 4418.1 154
"43541" 2927103 4854.6 171 2927102 4854.6 170
"43541" 2927152 6561.9 220 2927151 6561.9 219
"43541" 2927188 7544.1 256 2927187 7544.1 255
"43541" 2927227 8757.6 295 2927226 8757.6 294
"43541" 2927244 9358.6 312 2927243 9358.6 311
"43541" 2927271 9709.1 339 2927270 9709.1 338
"43541" 2927317 10376.7 385 2927316 10376.7 384
"43541" 2927370 11116.1 438 2927369 11116.1 437
"43541" 2927401 11700.4 469 2927400 11700.4 468
"43541" 2927432 12284.8 500 2927431 12284.8 499
"43541" 2927693 14358.7 761 2927692 14358.7 760
"43541" 2927769 14706.8 837 2927768 14706.8 836
"43541" 2927869 15301.6 937 2927868 15301.6 936
"43541" 2927969 15896.4 1037 2927968 15896.4 1036
"43541" 2928045 16244.5 1113 2928044 16244.5 1112
"43541" 2928243 17133.2 1311 2928242 17133.2 1310
"43541" 2928486 18161.9 1554 2928485 18161.9 1553
"43541" 2928511 18472.3 1579 2928510 18472.3 1578
"43541" 2928561 18976.3 1629 2928560 18976.3 1628
"43541" 2928708 19673.4 1776 2928707 19673.4 1775
"43541" 2928937 21285.9 2005 2928936 21285.9 2004
"43541" 2929013 22756.6 2081 2929012 22756.6 2080
"43541" 2929089 24227.3 2157 2929088 24227.3 2156
"43541" 2929128 24719.6 2196 2929127 24719.6 2195
"43541" 2929145 25292.2 2213 2929144 25292.2 2212
"43541" 2929164 25625.9 2232 2929163 25625.9 2231
"43541" 2929252 26736.7 2320 2929251 26736.7 2319
"43541" 2929339 27236.5 2407 2929338 27236.5 2406
"43541" 2929388 28436.1 2456 2929387 28436.1 2455
"43541" 2929427 28928.5 2495 2929426 28928.5 2494
"43541" 2929478 29639.4 2546 2929477 29639.4 2545
"43541" 2929709 30811.2 2777 2929708 30811.2 2776
"43541" 2929785 31159.3 2853 2929784 31159.3 2852
"43541" 2929885 31754.1 2953 2929884 31754.1 2952
"43541" 2929985 32348.9 3053 2929984 32348.9 3052
"43541" 2930061 32697.0 3129 2930060 32697.0 3128
"43541" 2930259 33585.6 3327 2930258 33585.6 3326
"43541" 2930543 35228.5 3611 2930542 35228.5 3610
"43541" 2930596 35967.9 3664 2930595 35967.9 3663
"43541" 2930627 36552.2 3695 2930626 36552.2 3694
"43541" 2930658 37136.6 3726 2930657 37136.6 3725
"42206" 3075873 20641.7 108 3075872 20641.7 107
"42206" 3075896 24205.9 131 3075895 24205.9 130
"43537" 3094634 310.3 26 3094633 310.3 25
"43537" 3094647 811.7 39 3094646 811.7 38
expired_calendar WARNING 30

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.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
7001 "13743"
1717 "1256"
12169 "24602"
12166 "12709"
1732 "60347"
6 "1461"
8745 "60928"
8741 "60959"
7010 "47985"
3458 "60890"
10446 "20239"
12170 "20237"
12168 "17222"
10444 "31530"
8728 "17343"
19 "43774"
12157 "678"
6969 "973"
12171 "13033"
1723 "13105"
8737 "48071"
21 "48073"
6987 "2066"
8736 "48062"
6989 "2137"
7003 "14823"
6991 "2218"
8722 "2217"
10436 "2216"
12161 "2224"
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.
11353 "8091136" "17220" 196.9887428340989 3.283145713901648 192576 17 "98468" "Krekenava" "14:03:00" 192577 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.
3238 "2699" "7597140"
3239 "2699" "7597141"
3240 "2699" "7597142"
3241 "2699" "7597143"
3242 "2699" "7597144"
3243 "2699" "7597145"
3244 "2699" "7597146"
3261 "2699" "7597147"
3275 "2699" "7597148"
3276 "2699" "7597149"
3519 "2699" "7597130"
3520 "2699" "7597131"
3521 "2699" "7597132"
3542 "2699" "7597128"
3543 "2699" "7597129"
3550 "2699" "7597133"
3551 "2699" "7597134"
3552 "2699" "7597135"
3553 "2699" "7597136"
3554 "2699" "7597137"
3555 "2699" "7597138"
3556 "2699" "7597139"
9759 "2699" "7597125"
9761 "2699" "7597126"
9762 "2699" "7597127"
10163 "2699" "7597150"
10164 "2699" "7597151"
10165 "2699" "7597153"
10166 "2699" "7597154"
10210 "2699" "7597155"
10211 "2699" "7597156"
10212 "2699" "7597157"
10213 "2699" "7597158"
10214 "2699" "7597159"
10215 "2699" "7597160"
10216 "2699" "7597161"
10251 "2699" "7597162"
10252 "2699" "7597163"
10293 "2699" "7597164"
10295 "2699" "7597165"
10318 "2699" "7597166"
10319 "2699" "7597167"
17498 "2699" "7597174"
17499 "2699" "7597180"
17502 "2699" "7597181"
17503 "2699" "7597175"
17504 "2699" "7597176"
17505 "2699" "7597177"
17506 "2699" "7597178"
17600 "2699" "7597182"
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 988

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 988 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\"" 38
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 81
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 87
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 88
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 94
"routes.txt" "route_short_name" "1A_VLP" 198
"routes.txt" "route_short_name" "523_VLP" 199
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 238
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 240
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 244
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 258
"routes.txt" "route_short_name" "40-DT" 264
"routes.txt" "route_short_name" "518_VLP" 284
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 309
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 343
"routes.txt" "route_short_name" "2_VLP" 356
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 383
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 387
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 394
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 509
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 538
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 551
"routes.txt" "route_long_name" "JONAVA-KULVA" 557
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 560
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 675
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 690
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 700
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 703
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 705
"routes.txt" "route_short_name" "2A_VLP" 817
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 852
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 863
"routes.txt" "route_short_name" "1_VLP" 970
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 972
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1002
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1056
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 1070
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1085
"routes.txt" "route_short_name" "50AB" 1095
"routes.txt" "route_short_name" "4_VLP" 1128
"routes.txt" "route_short_name" "787_VLP" 1129
"routes.txt" "route_short_name" "3_VLP" 1131
"routes.txt" "route_short_name" "5_VLP" 1133
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1161
"routes.txt" "route_short_name" "70AC" 1200
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1223
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1235
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1252
"stops.txt" "stop_name" "9-ojo forto muziejus" 188
"stops.txt" "stop_name" "140 km" 1173
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.
13315 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13316 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12991 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
973 "43544" "8124133" 334383 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
978 "43548" "8124139" 334421 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
16286 "26974" "7317012" 32435 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
16286 "26974" "7317012" 32436 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
16286 "26974" "7317012" 32451 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
6366 "47096" "8163742" 390309 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
11163 "29329" "7418310" 39862 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
12431 "29328" "7418309" 39839 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5563 "6003" "52856" 6113 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5532 "6005" "52858" 6122 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5545 "6004" "52857" 6118 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5331 "6007" "52859" 6129 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5550 "6008" "52860" 6134 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
7265 "16822" "2392138" 20144 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
7261 "16821" "2392134" 20104 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
7268 "16823" "2392141" 20199 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
4927 "18654" "3218451" 22387 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
20744 "32206" "7476583" 45767 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
20744 "32206" "7476583" 45768 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
20744 "32206" "7476583" 45769 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
20744 "32206" "7476583" 45772 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
20744 "32206" "7476583" 45777 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
13029 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13284 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
15512 "37872" "7870674" 67215 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
10811 "29420" "7429613" 40399 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13303 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13312 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13276 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5117 "14622" "7150732" 31475 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
13294 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5706 "29615" "7432118" 40909 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
12085 "29616" "7432119" 40957 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
2996 "21886" "8128860" 336700 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
2922 "21885" "8128906" 337412 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3086 "21887" "8128791" 335645 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2990 "21891" "8128924" 337707 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2932 "21865" "8128916" 337554 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
2929 "21872" "8128913" 337505 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
13607 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8384 "11705" "747606" 14531 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5573 "6511" "54507" 8699 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5303 "6509" "54501" 8645 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5575 "6513" "54509" 8723 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4454 "29093" "7413976" 37701 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
4453 "29092" "7413975" 37671 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
6301 "5232" "56646" 8825 "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.
6043 "3645" "57657" 10840 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10839 "12152" "Jonaičiai" [55.34641499999999,21.570023]
6020 "3667" "57730" 10979 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10978 "13926" "Jonaičiai" [55.346103,21.568929]
5586 "3714" "57735" 11037 "13926" "Jonaičiai" [55.346103,21.568929] 11036 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
15039 "13808" "1228372" 16262 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16261 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
11598 "28435" "7339430" 35265 "64819" "Suostas" [56.32837413018391,24.713657886432735] 35264 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
11597 "28434" "7339429" 35241 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 35240 "64820" "Suostas" [56.32837775901334,24.713656830174433]
6017 "6591" "57635" 10500 "13926" "Jonaičiai" [55.346103,21.568929] 10499 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
5580 "3554" "57640" 10578 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10577 "12152" "Jonaičiai" [55.34641499999999,21.570023]
9114 "29102" "7413991" 37795 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 37794 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
17497 "40377" "8016002" 89952 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 89951 "97223" "Tarvydai I" [55.328604,21.56423]
10180 "40378" "8016003" 89961 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 89960 "97223" "Tarvydai I" [55.328604,21.56423]
6274 "5353" "57618" 10328 "13926" "Jonaičiai" [55.346103,21.568929] 10327 "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