GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-27T06:07:43+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: 1282
  • Shapes: 3333
  • Stops: 12619
  • Trips: 22197

Specification Compliance report

112535 notices reported (0 errors, 112502 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`.
172 "18329" 208 "6209" "M1" "Alytus - Geniai" 3 "48"
672 "16052" 859 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
375 "3645" 1195 "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" 502382 29882.7 878 502381 29882.7 877 0.12791084993239907
"2328" 411280 35929.8 642 411279 35929.8 641 0.11119510090982554
"3659" 497432 49657.5 1177 497431 49657.5 1176 0.12791084993239907
"2369" 396620 63265.5 1261 396619 63265.5 1260 0.11119510090982554
"2385" 606190 69168.3 1771 606189 69168.3 1770 0.06441976500794575
"28733" 2270288 71509.2 1569 2270287 71509.2 1568 0.06441976500794575
"1919" 771706 136875.8 2842 771705 136875.8 2841 0.12752942403551987
"1919" 771709 136876.0 2845 771708 136876.0 2844 0.11119510090982554
"1919" 771716 136876.5 2852 771715 136876.5 2851 0.11119510232447394
"1919" 771719 136876.7 2855 771718 136876.7 2854 0.11119510161714974
"1919" 771722 136876.9 2858 771721 136876.9 2857 0.12752941555597483
"1919" 771731 136877.5 2867 771730 136877.5 2866 0.11119510090982554
"1919" 771734 136877.7 2870 771733 136877.7 2869 0.11119510161714974
"1919" 771737 136877.9 2873 771736 136877.9 2872 0.11119510090982554
"1919" 771744 136878.4 2880 771743 136878.4 2879 0.11119510090982554
"1919" 771747 136878.6 2883 771746 136878.6 2882 0.11119510161714974
"1919" 771756 136879.2 2892 771755 136879.2 2891 0.11119510090982554
"1919" 771759 136879.4 2895 771758 136879.4 2894 0.12752939825777979
"1919" 771762 136879.6 2898 771761 136879.6 2897 0.11119510161714974
"1919" 771771 136880.2 2907 771770 136880.2 2906 0.11119510161714974
"1919" 771775 136880.5 2911 771774 136880.5 2910 0.06244513630731429
"1919" 771781 136880.9 2917 771780 136880.9 2916 0.11119510161714974
"1919" 771784 136881.1 2920 771783 136881.1 2919 0.11119510090982554
"1919" 771787 136881.3 2923 771786 136881.3 2922 0.11119510090982554
"1919" 771796 136881.9 2932 771795 136881.9 2931 0.12752938095958766
"1919" 771799 136882.1 2935 771798 136882.1 2934 0.11119510161714974
"1919" 771810 136882.8 2946 771809 136882.8 2945 0.11119510161714974
"1919" 771815 136883.1 2951 771814 136883.1 2950 0.11119510161714974
"1919" 771823 136883.6 2959 771822 136883.6 2958 0.11119510090982554
"1919" 771828 136883.9 2964 771827 136883.9 2963 0.11119510090982554
"1919" 771841 136884.7 2977 771840 136884.7 2976 0.11119510161714974
"1919" 771843 136884.8 2979 771842 136884.8 2978 0.11119510090982554
"1919" 771846 136885.0 2982 771845 136885.0 2981 0.11119510161714974
"1919" 771854 136885.5 2990 771853 136885.5 2989 0.1275293557985862
"1919" 771856 136885.6 2992 771855 136885.6 2991 0.11119510161714974
"1919" 771859 136885.8 2995 771858 136885.8 2994 0.11119510090982554
"1919" 771861 136885.9 2997 771860 136885.9 2996 0.11119510232447394
"1919" 771867 136886.3 3003 771866 136886.3 3002 0.06244505260741443
"1919" 771872 136886.6 3008 771871 136886.6 3007 0.11119510161714974
"1919" 771874 136886.7 3010 771873 136886.7 3009 0.11119510090982554
"1919" 771877 136886.9 3013 771876 136886.9 3012 0.11119510090982554
"1919" 771879 136887.0 3015 771878 136887.0 3014 0.11119510090982554
"1919" 771885 136887.4 3021 771884 136887.4 3020 0.11119510090982554
"1919" 771887 136887.5 3023 771886 136887.5 3022 0.11119510161714974
"1919" 771890 136887.7 3026 771889 136887.7 3025 0.11119510090982554
"1919" 771892 136887.8 3028 771891 136887.8 3027 0.11119510161714974
"1919" 771903 136888.5 3039 771902 136888.5 3038 0.11119510161714974
"1919" 771905 136888.6 3041 771904 136888.6 3040 0.11119510090982554
"1919" 771908 136888.8 3044 771907 136888.8 3043 0.11119510090982554
"1919" 771917 136889.4 3053 771916 136889.4 3052 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 7185

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 7185 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" 2953488 350.5 28 2953487 350.5 27
"43541" 2953499 811.7 39 2953498 811.7 38
"43541" 2953538 1779.8 78 2953537 1779.8 77
"43541" 2953582 3184.3 122 2953581 3184.3 121
"43541" 2953615 4418.1 155 2953614 4418.1 154
"43541" 2953631 4854.6 171 2953630 4854.6 170
"43541" 2953680 6561.9 220 2953679 6561.9 219
"43541" 2953716 7544.1 256 2953715 7544.1 255
"43541" 2953755 8757.6 295 2953754 8757.6 294
"43541" 2953772 9358.6 312 2953771 9358.6 311
"43541" 2953799 9709.1 339 2953798 9709.1 338
"43541" 2953845 10376.7 385 2953844 10376.7 384
"43541" 2953898 11116.1 438 2953897 11116.1 437
"43541" 2953929 11700.4 469 2953928 11700.4 468
"43541" 2953960 12284.8 500 2953959 12284.8 499
"43541" 2954221 14358.7 761 2954220 14358.7 760
"43541" 2954297 14706.8 837 2954296 14706.8 836
"43541" 2954397 15301.6 937 2954396 15301.6 936
"43541" 2954497 15896.4 1037 2954496 15896.4 1036
"43541" 2954573 16244.5 1113 2954572 16244.5 1112
"43541" 2954771 17133.2 1311 2954770 17133.2 1310
"43541" 2955014 18161.9 1554 2955013 18161.9 1553
"43541" 2955039 18472.3 1579 2955038 18472.3 1578
"43541" 2955089 18976.3 1629 2955088 18976.3 1628
"43541" 2955236 19673.4 1776 2955235 19673.4 1775
"43541" 2955465 21285.9 2005 2955464 21285.9 2004
"43541" 2955541 22756.6 2081 2955540 22756.6 2080
"43541" 2955617 24227.3 2157 2955616 24227.3 2156
"43541" 2955656 24719.6 2196 2955655 24719.6 2195
"43541" 2955673 25292.2 2213 2955672 25292.2 2212
"43541" 2955692 25625.9 2232 2955691 25625.9 2231
"43541" 2955780 26736.7 2320 2955779 26736.7 2319
"43541" 2955867 27236.5 2407 2955866 27236.5 2406
"43541" 2955916 28436.1 2456 2955915 28436.1 2455
"43541" 2955955 28928.5 2495 2955954 28928.5 2494
"43541" 2956006 29639.4 2546 2956005 29639.4 2545
"43541" 2956237 30811.2 2777 2956236 30811.2 2776
"43541" 2956313 31159.3 2853 2956312 31159.3 2852
"43541" 2956413 31754.1 2953 2956412 31754.1 2952
"43541" 2956513 32348.9 3053 2956512 32348.9 3052
"43541" 2956589 32697.0 3129 2956588 32697.0 3128
"43541" 2956787 33585.6 3327 2956786 33585.6 3326
"43541" 2957071 35228.5 3611 2957070 35228.5 3610
"43541" 2957124 35967.9 3664 2957123 35967.9 3663
"43541" 2957155 36552.2 3695 2957154 36552.2 3694
"43541" 2957186 37136.6 3726 2957185 37136.6 3725
"43537" 3089203 310.3 26 3089202 310.3 25
"43537" 3089216 811.7 39 3089215 811.7 38
"43537" 3089255 1779.8 78 3089254 1779.8 77
"43537" 3089299 3184.3 122 3089298 3184.3 121
expired_calendar WARNING 82

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 82 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
7780 "17222"
6688 "31530"
6 "1076"
1162 "73341"
5572 "17343"
2221 "2499"
23 "43774"
1108 "1256"
1104 "1271"
4470 "1294"
7781 "24602"
2 "1339"
2218 "2685"
7778 "12709"
3353 "1379"
4494 "2737"
5564 "2766"
1123 "60347"
8 "1461"
5577 "47502"
7769 "678"
6683 "2814"
4498 "2849"
4499 "2852"
5566 "2850"
3368 "2980"
5565 "2975"
2219 "2974"
6682 "2972"
4469 "973"
63 "76307"
6739 "76308"
64 "76309"
5593 "60928"
5588 "60959"
4509 "47985"
7774 "1954"
2239 "60890"
7776 "3000"
2220 "3012"
6690 "20239"
7782 "20237"
7783 "13033"
1114 "13105"
5633 "76816"
11 "2009"
13 "2022"
5582 "48071"
25 "48073"
4486 "2066"
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.
15510 "8093432" "17272" 196.9887428340989 3.283145713901648 235195 17 "99227" "Krekenava" "14:03:00" 235196 18 "99243" "Rabikiai" "14:03:00"
15199 "8091136" "17220" 196.9887428340989 3.283145713901648 216885 17 "98468" "Krekenava" "14:03:00" 216886 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.
610 "2699" "7597169"
6020 "2699" "7597186"
6021 "2699" "7597187"
6022 "2699" "7597188"
6025 "2699" "7597189"
6038 "2699" "7597140"
6039 "2699" "7597141"
6040 "2699" "7597142"
6041 "2699" "7597143"
6042 "2699" "7597144"
6043 "2699" "7597145"
6044 "2699" "7597146"
6059 "2699" "7597170"
6060 "2699" "7597171"
6061 "2699" "7597172"
6062 "2699" "7597173"
6233 "2699" "7597147"
6283 "2699" "7597148"
6284 "2699" "7597149"
6395 "2699" "7597190"
6396 "2699" "7597191"
6397 "2699" "7597192"
6398 "2699" "7597193"
6399 "2699" "7597194"
6400 "2699" "7597195"
6402 "2699" "7597196"
6403 "2699" "7597197"
6404 "2699" "7597198"
6470 "2699" "7597199"
6472 "2699" "7597200"
6473 "2699" "7597201"
6474 "2699" "7597202"
6572 "2699" "7597203"
6574 "2699" "7597204"
6762 "2699" "7597205"
6763 "2699" "7597206"
6764 "2699" "7597207"
6765 "2699" "7597208"
6853 "2699" "7597209"
6854 "2699" "7597210"
6855 "2699" "7597211"
6856 "2699" "7597212"
6995 "2699" "7597021"
7162 "2699" "7597128"
7163 "2699" "7597129"
7164 "2699" "7597130"
7165 "2699" "7597131"
7166 "2699" "7597132"
7217 "2699" "7597174"
7218 "2699" "7597180"
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 890

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 890 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" "JONAVA-JUŠKONYS" 188
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 189
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 190
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 250
"routes.txt" "route_short_name" "40-DT" 274
"routes.txt" "route_short_name" "1A_VLP" 293
"routes.txt" "route_short_name" "518_VLP" 303
"routes.txt" "route_short_name" "523_VLP" 307
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 335
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 336
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 361
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 362
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 369
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 370
"routes.txt" "route_short_name" "2_VLP" 453
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 490
"routes.txt" "route_long_name" "JONAVA-KULVA" 493
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 494
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 498
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 651
"routes.txt" "route_long_name" "JONAVA-RUKLA" 654
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 664
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 807
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 816
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 869
"routes.txt" "route_short_name" "2A_VLP" 917
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 955
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 962
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 979
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 982
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1027
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1041
"routes.txt" "route_short_name" "50AB" 1049
"routes.txt" "route_short_name" "1_VLP" 1073
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1089
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1110
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1114
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1128
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1131
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1143
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1144
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1192
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1204
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1235
"routes.txt" "route_short_name" "5_VLP" 1237
"routes.txt" "route_short_name" "4_VLP" 1239
"routes.txt" "route_short_name" "3_VLP" 1243
"routes.txt" "route_short_name" "787_VLP" 1246
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1266
stop_too_far_from_shape WARNING 60

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 60 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.
17398 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17399 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17047 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8903 "43544" "8124133" 384302 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
8908 "43548" "8124139" 384340 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
7153 "26974" "7317010" 36525 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
7153 "26974" "7317010" 36526 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
7153 "26974" "7317010" 36541 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
14806 "29329" "7418310" 43945 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
1907 "29328" "7418309" 43922 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5646 "37814" "7870743" 73198 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
2626 "6003" "52856" 6188 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2595 "6005" "52858" 6197 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2608 "6004" "52857" 6193 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2541 "6007" "52859" 6204 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2613 "6008" "52860" 6209 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
436 "18654" "3218451" 22338 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
8442 "32206" "7476583" 49840 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
8442 "32206" "7476583" 49841 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
8442 "32206" "7476583" 49842 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
8442 "32206" "7476583" 49845 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
8442 "32206" "7476583" 49850 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
17314 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17367 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
17508 "37872" "7870674" 71802 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
14691 "29420" "7429613" 44482 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17386 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17395 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17359 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
151 "14622" "7150732" 35599 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
17377 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3486 "29615" "7432118" 44970 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
16635 "29616" "7432119" 45018 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1172 "21886" "7847367" 70984 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1178 "21885" "7847377" 71091 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1768 "21887" "8128791" 385564 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1115 "21891" "7847352" 70867 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1703 "21865" "8128916" 387473 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1524 "21872" "8128877" 386870 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
17689 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1021 "45952" "8148145" 398807 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
2435 "11705" "747606" 14714 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2636 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2634 "6509" "54502" 8735 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2793 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
340 "29093" "7413976" 41748 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
339 "29092" "7413975" 41718 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
3518 "5232" "56646" 8900 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
13358 "27242" "7322653" 37910 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13355 "27240" "7322650" 37864 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
stops_match_shape_out_of_order WARNING 13

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.
3258 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
3091 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
2804 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
17229 "13808" "1228372" 16445 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16444 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
5623 "17480" "2657524" 21021 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21020 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
15536 "28435" "7339430" 39282 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39281 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
15534 "28434" "7339429" 39258 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39257 "64820" "Suostas" [56.32837775901334,24.713656830174433]
3088 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
2798 "3554" "57640" 10653 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10652 "12152" "Jonaičiai" [55.34641499999999,21.570023]
12697 "29102" "7413991" 41842 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 41841 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
7216 "40377" "8016002" 101384 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 101383 "97223" "Tarvydai I" [55.328604,21.56423]
21613 "40378" "8016003" 101393 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 101392 "97223" "Tarvydai I" [55.328604,21.56423]
3330 "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