GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-05T06:08:22+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: 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`.
256 "18144" 387 "18101" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
747 "16052" 938 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
367 "3645" 1249 "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" 506349 29882.7 878 506348 29882.7 877 0.12791084993239907
"2328" 415247 35929.8 642 415246 35929.8 641 0.11119510090982554
"3659" 501399 49657.5 1177 501398 49657.5 1176 0.12791084993239907
"42205" 3169091 57850.1 335 3169090 57850.1 334 0.06178544815632574
"2369" 400587 63265.5 1261 400586 63265.5 1260 0.11119510090982554
"2385" 610157 69168.3 1771 610156 69168.3 1770 0.06441976500794575
"28733" 2286082 71509.2 1569 2286081 71509.2 1568 0.06441976500794575
"1919" 775673 136875.8 2842 775672 136875.8 2841 0.12752942403551987
"1919" 775676 136876.0 2845 775675 136876.0 2844 0.11119510090982554
"1919" 775683 136876.5 2852 775682 136876.5 2851 0.11119510232447394
"1919" 775686 136876.7 2855 775685 136876.7 2854 0.11119510161714974
"1919" 775689 136876.9 2858 775688 136876.9 2857 0.12752941555597483
"1919" 775698 136877.5 2867 775697 136877.5 2866 0.11119510090982554
"1919" 775701 136877.7 2870 775700 136877.7 2869 0.11119510161714974
"1919" 775704 136877.9 2873 775703 136877.9 2872 0.11119510090982554
"1919" 775711 136878.4 2880 775710 136878.4 2879 0.11119510090982554
"1919" 775714 136878.6 2883 775713 136878.6 2882 0.11119510161714974
"1919" 775723 136879.2 2892 775722 136879.2 2891 0.11119510090982554
"1919" 775726 136879.4 2895 775725 136879.4 2894 0.12752939825777979
"1919" 775729 136879.6 2898 775728 136879.6 2897 0.11119510161714974
"1919" 775738 136880.2 2907 775737 136880.2 2906 0.11119510161714974
"1919" 775742 136880.5 2911 775741 136880.5 2910 0.06244513630731429
"1919" 775748 136880.9 2917 775747 136880.9 2916 0.11119510161714974
"1919" 775751 136881.1 2920 775750 136881.1 2919 0.11119510090982554
"1919" 775754 136881.3 2923 775753 136881.3 2922 0.11119510090982554
"1919" 775763 136881.9 2932 775762 136881.9 2931 0.12752938095958766
"1919" 775766 136882.1 2935 775765 136882.1 2934 0.11119510161714974
"1919" 775777 136882.8 2946 775776 136882.8 2945 0.11119510161714974
"1919" 775782 136883.1 2951 775781 136883.1 2950 0.11119510161714974
"1919" 775790 136883.6 2959 775789 136883.6 2958 0.11119510090982554
"1919" 775795 136883.9 2964 775794 136883.9 2963 0.11119510090982554
"1919" 775808 136884.7 2977 775807 136884.7 2976 0.11119510161714974
"1919" 775810 136884.8 2979 775809 136884.8 2978 0.11119510090982554
"1919" 775813 136885.0 2982 775812 136885.0 2981 0.11119510161714974
"1919" 775821 136885.5 2990 775820 136885.5 2989 0.1275293557985862
"1919" 775823 136885.6 2992 775822 136885.6 2991 0.11119510161714974
"1919" 775826 136885.8 2995 775825 136885.8 2994 0.11119510090982554
"1919" 775828 136885.9 2997 775827 136885.9 2996 0.11119510232447394
"1919" 775834 136886.3 3003 775833 136886.3 3002 0.06244505260741443
"1919" 775839 136886.6 3008 775838 136886.6 3007 0.11119510161714974
"1919" 775841 136886.7 3010 775840 136886.7 3009 0.11119510090982554
"1919" 775844 136886.9 3013 775843 136886.9 3012 0.11119510090982554
"1919" 775846 136887.0 3015 775845 136887.0 3014 0.11119510090982554
"1919" 775852 136887.4 3021 775851 136887.4 3020 0.11119510090982554
"1919" 775854 136887.5 3023 775853 136887.5 3022 0.11119510161714974
"1919" 775857 136887.7 3026 775856 136887.7 3025 0.11119510090982554
"1919" 775859 136887.8 3028 775858 136887.8 3027 0.11119510161714974
"1919" 775870 136888.5 3039 775869 136888.5 3038 0.11119510161714974
"1919" 775872 136888.6 3041 775871 136888.6 3040 0.11119510090982554
"1919" 775875 136888.8 3044 775874 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" 3053496 350.5 28 3053495 350.5 27
"43541" 3053507 811.7 39 3053506 811.7 38
"43541" 3053546 1779.8 78 3053545 1779.8 77
"43541" 3053590 3184.3 122 3053589 3184.3 121
"43541" 3053623 4418.1 155 3053622 4418.1 154
"43541" 3053639 4854.6 171 3053638 4854.6 170
"43541" 3053688 6561.9 220 3053687 6561.9 219
"43541" 3053724 7544.1 256 3053723 7544.1 255
"43541" 3053763 8757.6 295 3053762 8757.6 294
"43541" 3053780 9358.6 312 3053779 9358.6 311
"43541" 3053807 9709.1 339 3053806 9709.1 338
"43541" 3053853 10376.7 385 3053852 10376.7 384
"43541" 3053906 11116.1 438 3053905 11116.1 437
"43541" 3053937 11700.4 469 3053936 11700.4 468
"43541" 3053968 12284.8 500 3053967 12284.8 499
"43541" 3054229 14358.7 761 3054228 14358.7 760
"43541" 3054305 14706.8 837 3054304 14706.8 836
"43541" 3054405 15301.6 937 3054404 15301.6 936
"43541" 3054505 15896.4 1037 3054504 15896.4 1036
"43541" 3054581 16244.5 1113 3054580 16244.5 1112
"43541" 3054779 17133.2 1311 3054778 17133.2 1310
"43541" 3055022 18161.9 1554 3055021 18161.9 1553
"43541" 3055047 18472.3 1579 3055046 18472.3 1578
"43541" 3055097 18976.3 1629 3055096 18976.3 1628
"43541" 3055244 19673.4 1776 3055243 19673.4 1775
"43541" 3055473 21285.9 2005 3055472 21285.9 2004
"43541" 3055549 22756.6 2081 3055548 22756.6 2080
"43541" 3055625 24227.3 2157 3055624 24227.3 2156
"43541" 3055664 24719.6 2196 3055663 24719.6 2195
"43541" 3055681 25292.2 2213 3055680 25292.2 2212
"43541" 3055700 25625.9 2232 3055699 25625.9 2231
"43541" 3055788 26736.7 2320 3055787 26736.7 2319
"43541" 3055875 27236.5 2407 3055874 27236.5 2406
"43541" 3055924 28436.1 2456 3055923 28436.1 2455
"43541" 3055963 28928.5 2495 3055962 28928.5 2494
"43541" 3056014 29639.4 2546 3056013 29639.4 2545
"43541" 3056245 30811.2 2777 3056244 30811.2 2776
"43541" 3056321 31159.3 2853 3056320 31159.3 2852
"43541" 3056421 31754.1 2953 3056420 31754.1 2952
"43541" 3056521 32348.9 3053 3056520 32348.9 3052
"43541" 3056597 32697.0 3129 3056596 32697.0 3128
"43541" 3056795 33585.6 3327 3056794 33585.6 3326
"43541" 3057079 35228.5 3611 3057078 35228.5 3610
"43541" 3057132 35967.9 3664 3057131 35967.9 3663
"43541" 3057163 36552.2 3695 3057162 36552.2 3694
"43541" 3057194 37136.6 3726 3057193 37136.6 3725
"42206" 3169262 20641.7 108 3169261 20641.7 107
"42206" 3169285 24205.9 131 3169284 24205.9 130
"43537" 3180994 310.3 26 3180993 310.3 25
"43537" 3181007 811.7 39 3181006 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.
9214 "17222"
7936 "31530"
6 "1076"
1356 "73341"
6584 "17343"
2590 "2499"
23 "43774"
1301 "1256"
1297 "1271"
5274 "1294"
9215 "24602"
7950 "48594"
2 "1339"
2587 "2685"
9212 "12709"
3953 "1379"
5300 "2737"
6576 "2766"
1316 "60347"
8 "1461"
6589 "47502"
9203 "678"
7931 "2814"
5304 "2849"
5305 "2852"
6578 "2850"
3969 "2980"
6577 "2975"
2588 "2974"
7930 "2972"
5273 "973"
6606 "60928"
6603 "60959"
5316 "47985"
9208 "1954"
2612 "60890"
9210 "3000"
2589 "3012"
7938 "20239"
9216 "20237"
9217 "13033"
1307 "13105"
11 "2009"
13 "2022"
6595 "48071"
26 "48073"
5292 "2066"
6593 "48062"
3966 "2111"
6575 "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.
3438 "8093432" "17272" 196.9887428340989 3.283145713901648 245984 17 "99227" "Krekenava" "14:03:00" 245985 18 "99243" "Rabikiai" "14:03:00"
2212 "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.
11769 "2699" "7597174"
11770 "2699" "7597180"
11773 "2699" "7597181"
11774 "2699" "7597175"
11775 "2699" "7597176"
11776 "2699" "7597177"
11777 "2699" "7597178"
11827 "2699" "7597169"
11879 "2699" "7597182"
11880 "2699" "7597183"
11881 "2699" "7597184"
11882 "2699" "7597185"
11906 "2699" "7597170"
11907 "2699" "7597171"
11908 "2699" "7597172"
11909 "2699" "7597173"
12038 "2699" "7597186"
12039 "2699" "7597187"
12040 "2699" "7597188"
12043 "2699" "7597189"
12150 "2699" "7597190"
12151 "2699" "7597191"
12152 "2699" "7597192"
12153 "2699" "7597193"
12154 "2699" "7597194"
12155 "2699" "7597195"
12157 "2699" "7597196"
12158 "2699" "7597197"
12159 "2699" "7597198"
12230 "2699" "7597199"
12232 "2699" "7597200"
12233 "2699" "7597201"
12234 "2699" "7597202"
12320 "2699" "7597203"
12322 "2699" "7597204"
12414 "2699" "7597205"
12415 "2699" "7597206"
12416 "2699" "7597207"
12417 "2699" "7597208"
12485 "2699" "7597209"
12486 "2699" "7597210"
12487 "2699" "7597211"
12488 "2699" "7597212"
12662 "2699" "7597021"
21141 "2699" "7597128"
21142 "2699" "7597129"
21143 "2699" "7597130"
21144 "2699" "7597131"
21145 "2699" "7597132"
21181 "2699" "7597133"
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" 188
"routes.txt" "route_short_name" "1A_VLP" 190
"routes.txt" "route_short_name" "518_VLP" 197
"routes.txt" "route_short_name" "523_VLP" 224
"routes.txt" "route_short_name" "2_VLP" 355
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 586
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 620
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 736
"routes.txt" "route_short_name" "2A_VLP" 849
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 859
"routes.txt" "route_short_name" "1_VLP" 1007
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1011
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1012
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1089
"routes.txt" "route_short_name" "3_VLP" 1174
"routes.txt" "route_short_name" "4_VLP" 1178
"routes.txt" "route_short_name" "5_VLP" 1183
"routes.txt" "route_short_name" "787_VLP" 1195
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1223
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1241
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1258
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1270
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1272
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1312
"stops.txt" "stop_name" "9-ojo forto muziejus" 453
"stops.txt" "stop_name" "4-asis fortas B" 857
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 876
"stops.txt" "stop_name" "7-asis kilometras A" 929
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 987
"stops.txt" "stop_name" "140 km" 1386
"stops.txt" "stop_name" "2-asis fortas" 1438
"stops.txt" "stop_name" "19-as kilometras" 2138
"stops.txt" "stop_name" "1-ojo forto g." 2216
"stops.txt" "stop_name" "140 km" 2409
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 2471
"stops.txt" "stop_name" "40 km" 2612
"stops.txt" "stop_name" "16-sis kilometras" 2628
"stops.txt" "stop_name" "9 kilometras" 2666
"stops.txt" "stop_name" "9 kilometras" 2667
"stops.txt" "stop_name" "žieda" 2717
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 2976
"stops.txt" "stop_name" "3-ieji sodininkai" 3291
"stops.txt" "stop_name" "kulniškiai" 3500
"stops.txt" "stop_name" "III km." 3631
"stops.txt" "stop_name" "III km." 3684
"stops.txt" "stop_name" "19-as kilometras" 3821
"stops.txt" "stop_name" "9-ojo forto muziejus" 3924
"stops.txt" "stop_name" "140 km" 4074
"stops.txt" "stop_name" "32 kilometras" 4355
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.
19356 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19357 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19066 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8629 "43544" "8124133" 398705 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
8634 "43548" "8124139" 398743 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
5006 "26974" "7317012" 36856 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
5006 "26974" "7317012" 36857 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
5006 "26974" "7317012" 36872 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
408 "29329" "7418310" 44282 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
15477 "29328" "7418309" 44259 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
2008 "37814" "7870743" 77548 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
19878 "6003" "52856" 6188 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19725 "6005" "52858" 6197 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19738 "6004" "52857" 6193 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19671 "6007" "52859" 6204 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19865 "6008" "52860" 6209 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
15093 "18654" "3218451" 22310 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
9830 "32206" "7476583" 50195 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
9830 "32206" "7476583" 50196 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
9830 "32206" "7476583" 50197 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
9830 "32206" "7476583" 50200 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
9830 "32206" "7476583" 50205 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
19272 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19325 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
6620 "37872" "7870674" 76152 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
3609 "29420" "7429613" 44837 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19344 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19353 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19317 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15943 "14622" "7150732" 35896 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
19335 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14740 "29615" "7432118" 45325 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
610 "29616" "7432119" 45373 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1379 "21886" "7847213" 74061 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1333 "21885" "7847195" 73895 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3787 "21887" "8128791" 399967 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1404 "21891" "7846924" 71286 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3766 "21865" "8128780" 399764 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
2064 "21872" "7846768" 69861 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
19600 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20275 "11705" "747606" 14714 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19888 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19643 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19890 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16291 "29093" "7413976" 42059 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
16290 "29092" "7413975" 42029 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
19602 "5232" "48166" 5592 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
3446 "27242" "7324110" 38471 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
14491 "27240" "7322650" 38161 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
14490 "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.
21582 "29269" "7429480" 44333 "22015" "Graužiečiai" [55.224458,24.844213] 44332 "21701" "Vaisgeliškiai" [55.21389948434742,24.843246782879064]
20421 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
20233 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
19901 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
5232 "13808" "1228372" 16445 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16444 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
18150 "17480" "2657524" 20993 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20992 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
15040 "28435" "7339430" 39579 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39578 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
15038 "28434" "7339429" 39555 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39554 "64820" "Suostas" [56.32837775901334,24.713656830174433]
20230 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
19895 "3554" "57640" 10653 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10652 "12152" "Jonaičiai" [55.34641499999999,21.570023]
14151 "29102" "7413991" 42153 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42152 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
11768 "40377" "8016002" 109373 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 109372 "97223" "Tarvydai I" [55.328604,21.56423]
21563 "40378" "8016003" 109382 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 109381 "97223" "Tarvydai I" [55.328604,21.56423]
20649 "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