GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-26T06:07:49+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: 40
  • Blocks: 0
  • Routes: 1323
  • Shapes: 3514
  • Stops: 13517
  • Trips: 23229

Specification Compliance report

116534 notices reported (0 errors, 116501 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`.
184 "18329" 321 "6209" "M1" "Alytus - Geniai" 3 "48"
693 "16052" 888 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
376 "3645" 1238 "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" 502621 29882.7 878 502620 29882.7 877 0.12791084993239907
"2328" 411519 35929.8 642 411518 35929.8 641 0.11119510090982554
"3659" 497671 49657.5 1177 497670 49657.5 1176 0.12791084993239907
"2369" 396859 63265.5 1261 396858 63265.5 1260 0.11119510090982554
"2385" 606429 69168.3 1771 606428 69168.3 1770 0.06441976500794575
"28733" 2273442 71509.2 1569 2273441 71509.2 1568 0.06441976500794575
"1919" 771945 136875.8 2842 771944 136875.8 2841 0.12752942403551987
"1919" 771948 136876.0 2845 771947 136876.0 2844 0.11119510090982554
"1919" 771955 136876.5 2852 771954 136876.5 2851 0.11119510232447394
"1919" 771958 136876.7 2855 771957 136876.7 2854 0.11119510161714974
"1919" 771961 136876.9 2858 771960 136876.9 2857 0.12752941555597483
"1919" 771970 136877.5 2867 771969 136877.5 2866 0.11119510090982554
"1919" 771973 136877.7 2870 771972 136877.7 2869 0.11119510161714974
"1919" 771976 136877.9 2873 771975 136877.9 2872 0.11119510090982554
"1919" 771983 136878.4 2880 771982 136878.4 2879 0.11119510090982554
"1919" 771986 136878.6 2883 771985 136878.6 2882 0.11119510161714974
"1919" 771995 136879.2 2892 771994 136879.2 2891 0.11119510090982554
"1919" 771998 136879.4 2895 771997 136879.4 2894 0.12752939825777979
"1919" 772001 136879.6 2898 772000 136879.6 2897 0.11119510161714974
"1919" 772010 136880.2 2907 772009 136880.2 2906 0.11119510161714974
"1919" 772014 136880.5 2911 772013 136880.5 2910 0.06244513630731429
"1919" 772020 136880.9 2917 772019 136880.9 2916 0.11119510161714974
"1919" 772023 136881.1 2920 772022 136881.1 2919 0.11119510090982554
"1919" 772026 136881.3 2923 772025 136881.3 2922 0.11119510090982554
"1919" 772035 136881.9 2932 772034 136881.9 2931 0.12752938095958766
"1919" 772038 136882.1 2935 772037 136882.1 2934 0.11119510161714974
"1919" 772049 136882.8 2946 772048 136882.8 2945 0.11119510161714974
"1919" 772054 136883.1 2951 772053 136883.1 2950 0.11119510161714974
"1919" 772062 136883.6 2959 772061 136883.6 2958 0.11119510090982554
"1919" 772067 136883.9 2964 772066 136883.9 2963 0.11119510090982554
"1919" 772080 136884.7 2977 772079 136884.7 2976 0.11119510161714974
"1919" 772082 136884.8 2979 772081 136884.8 2978 0.11119510090982554
"1919" 772085 136885.0 2982 772084 136885.0 2981 0.11119510161714974
"1919" 772093 136885.5 2990 772092 136885.5 2989 0.1275293557985862
"1919" 772095 136885.6 2992 772094 136885.6 2991 0.11119510161714974
"1919" 772098 136885.8 2995 772097 136885.8 2994 0.11119510090982554
"1919" 772100 136885.9 2997 772099 136885.9 2996 0.11119510232447394
"1919" 772106 136886.3 3003 772105 136886.3 3002 0.06244505260741443
"1919" 772111 136886.6 3008 772110 136886.6 3007 0.11119510161714974
"1919" 772113 136886.7 3010 772112 136886.7 3009 0.11119510090982554
"1919" 772116 136886.9 3013 772115 136886.9 3012 0.11119510090982554
"1919" 772118 136887.0 3015 772117 136887.0 3014 0.11119510090982554
"1919" 772124 136887.4 3021 772123 136887.4 3020 0.11119510090982554
"1919" 772126 136887.5 3023 772125 136887.5 3022 0.11119510161714974
"1919" 772129 136887.7 3026 772128 136887.7 3025 0.11119510090982554
"1919" 772131 136887.8 3028 772130 136887.8 3027 0.11119510161714974
"1919" 772142 136888.5 3039 772141 136888.5 3038 0.11119510161714974
"1919" 772144 136888.6 3041 772143 136888.6 3040 0.11119510090982554
"1919" 772147 136888.8 3044 772146 136888.8 3043 0.11119510090982554
"1919" 772156 136889.4 3053 772155 136889.4 3052 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 11099

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 11099 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" 2969862 350.5 28 2969861 350.5 27
"43541" 2969873 811.7 39 2969872 811.7 38
"43541" 2969912 1779.8 78 2969911 1779.8 77
"43541" 2969956 3184.3 122 2969955 3184.3 121
"43541" 2969989 4418.1 155 2969988 4418.1 154
"43541" 2970005 4854.6 171 2970004 4854.6 170
"43541" 2970054 6561.9 220 2970053 6561.9 219
"43541" 2970090 7544.1 256 2970089 7544.1 255
"43541" 2970129 8757.6 295 2970128 8757.6 294
"43541" 2970146 9358.6 312 2970145 9358.6 311
"43541" 2970173 9709.1 339 2970172 9709.1 338
"43541" 2970219 10376.7 385 2970218 10376.7 384
"43541" 2970272 11116.1 438 2970271 11116.1 437
"43541" 2970303 11700.4 469 2970302 11700.4 468
"43541" 2970334 12284.8 500 2970333 12284.8 499
"43541" 2970595 14358.7 761 2970594 14358.7 760
"43541" 2970671 14706.8 837 2970670 14706.8 836
"43541" 2970771 15301.6 937 2970770 15301.6 936
"43541" 2970871 15896.4 1037 2970870 15896.4 1036
"43541" 2970947 16244.5 1113 2970946 16244.5 1112
"43541" 2971145 17133.2 1311 2971144 17133.2 1310
"43541" 2971388 18161.9 1554 2971387 18161.9 1553
"43541" 2971413 18472.3 1579 2971412 18472.3 1578
"43541" 2971463 18976.3 1629 2971462 18976.3 1628
"43541" 2971610 19673.4 1776 2971609 19673.4 1775
"43541" 2971839 21285.9 2005 2971838 21285.9 2004
"43541" 2971915 22756.6 2081 2971914 22756.6 2080
"43541" 2971991 24227.3 2157 2971990 24227.3 2156
"43541" 2972030 24719.6 2196 2972029 24719.6 2195
"43541" 2972047 25292.2 2213 2972046 25292.2 2212
"43541" 2972066 25625.9 2232 2972065 25625.9 2231
"43541" 2972154 26736.7 2320 2972153 26736.7 2319
"43541" 2972241 27236.5 2407 2972240 27236.5 2406
"43541" 2972290 28436.1 2456 2972289 28436.1 2455
"43541" 2972329 28928.5 2495 2972328 28928.5 2494
"43541" 2972380 29639.4 2546 2972379 29639.4 2545
"43541" 2972611 30811.2 2777 2972610 30811.2 2776
"43541" 2972687 31159.3 2853 2972686 31159.3 2852
"43541" 2972787 31754.1 2953 2972786 31754.1 2952
"43541" 2972887 32348.9 3053 2972886 32348.9 3052
"43541" 2972963 32697.0 3129 2972962 32697.0 3128
"43541" 2973161 33585.6 3327 2973160 33585.6 3326
"43541" 2973445 35228.5 3611 2973444 35228.5 3610
"43541" 2973498 35967.9 3664 2973497 35967.9 3663
"43541" 2973529 36552.2 3695 2973528 36552.2 3694
"43541" 2973560 37136.6 3726 2973559 37136.6 3725
"43537" 3148805 310.3 26 3148804 310.3 25
"43537" 3148818 811.7 39 3148817 811.7 38
"43537" 3148857 1779.8 78 3148856 1779.8 77
"43537" 3148901 3184.3 122 3148900 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.
6 "1076"
1601 "73341"
3083 "2499"
1547 "1256"
1543 "1271"
6252 "1294"
10890 "24602"
2 "1339"
3080 "2685"
10887 "12709"
4677 "1379"
6276 "2737"
7805 "2766"
1562 "60347"
8 "1461"
7818 "47502"
9366 "2814"
6280 "2849"
6281 "2852"
7807 "2850"
4692 "2980"
7806 "2975"
3081 "2974"
9365 "2972"
7834 "60928"
7829 "60959"
6291 "47985"
10883 "1954"
3101 "60890"
9373 "20239"
10891 "20237"
10889 "17222"
9371 "31530"
7813 "17343"
23 "43774"
10878 "678"
6251 "973"
63 "76307"
9422 "76308"
64 "76309"
10885 "3000"
3082 "3012"
10892 "13033"
1553 "13105"
7874 "76816"
11 "2009"
13 "2022"
7823 "48071"
25 "48073"
6268 "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.
17909 "8093432" "17272" 196.9887428340989 3.283145713901648 235195 17 "99227" "Krekenava" "14:03:00" 235196 18 "99243" "Rabikiai" "14:03:00"
17653 "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.
626 "2699" "7597169"
5998 "2699" "7597182"
5999 "2699" "7597183"
6000 "2699" "7597184"
6001 "2699" "7597185"
6013 "2699" "7597134"
6014 "2699" "7597135"
6015 "2699" "7597136"
6016 "2699" "7597137"
6017 "2699" "7597138"
6018 "2699" "7597139"
6027 "2699" "7597140"
6051 "2699" "7597170"
6052 "2699" "7597171"
6053 "2699" "7597172"
6054 "2699" "7597173"
6094 "2699" "7597141"
6095 "2699" "7597142"
6096 "2699" "7597143"
6097 "2699" "7597144"
6098 "2699" "7597145"
6099 "2699" "7597146"
6277 "2699" "7597147"
6325 "2699" "7597148"
6326 "2699" "7597149"
6397 "2699" "7597186"
6398 "2699" "7597187"
6399 "2699" "7597188"
6402 "2699" "7597189"
6467 "2699" "7597190"
6468 "2699" "7597191"
6469 "2699" "7597192"
6470 "2699" "7597193"
6471 "2699" "7597194"
6472 "2699" "7597195"
6474 "2699" "7597196"
6475 "2699" "7597197"
6476 "2699" "7597198"
6541 "2699" "7597199"
6543 "2699" "7597200"
6544 "2699" "7597201"
6545 "2699" "7597202"
6637 "2699" "7597203"
6639 "2699" "7597204"
6742 "2699" "7597205"
6743 "2699" "7597206"
6744 "2699" "7597207"
6745 "2699" "7597208"
6855 "2699" "7597209"
6856 "2699" "7597210"
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 975

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 975 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\"" 40
"routes.txt" "route_short_name" "40-DT" 157
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 171
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 172
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 174
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 239
"routes.txt" "route_short_name" "1A_VLP" 302
"routes.txt" "route_short_name" "523_VLP" 305
"routes.txt" "route_short_name" "518_VLP" 320
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 342
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 343
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 349
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 373
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 382
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 383
"routes.txt" "route_short_name" "2_VLP" 468
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 511
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 538
"routes.txt" "route_long_name" "JONAVA-KULVA" 540
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 552
"routes.txt" "route_long_name" "JONAVA-RUKLA" 660
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 666
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 679
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 822
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 841
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 873
"routes.txt" "route_short_name" "2A_VLP" 942
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 973
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 976
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 989
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1012
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1064
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1077
"routes.txt" "route_short_name" "50AB" 1081
"routes.txt" "route_short_name" "1_VLP" 1108
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1114
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1151
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1153
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1169
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1172
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1174
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1180
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1235
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1245
"routes.txt" "route_short_name" "4_VLP" 1275
"routes.txt" "route_short_name" "3_VLP" 1277
"routes.txt" "route_short_name" "787_VLP" 1281
"routes.txt" "route_short_name" "5_VLP" 1287
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1302
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1307
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.
18765 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18766 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18401 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9911 "43544" "8124133" 384302 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
9916 "43548" "8124139" 384340 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
7213 "26974" "7317010" 36525 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
7213 "26974" "7317010" 36526 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
7213 "26974" "7317010" 36541 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
17320 "29329" "7418310" 43945 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
2169 "29328" "7418309" 43922 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
2514 "37814" "7870743" 73198 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
2876 "6003" "52856" 6188 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2845 "6005" "52858" 6197 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2858 "6004" "52857" 6193 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2636 "6007" "52859" 6204 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2863 "6008" "52860" 6209 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
54 "18654" "3218451" 22338 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
7730 "32206" "7476583" 49840 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
7730 "32206" "7476583" 49841 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
7730 "32206" "7476583" 49842 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
7730 "32206" "7476583" 49845 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
7730 "32206" "7476583" 49850 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
18445 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18734 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
18873 "37872" "7870674" 71802 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
16972 "29420" "7429613" 44482 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18753 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18762 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18726 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2303 "14622" "7150732" 35599 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
18744 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1351 "29615" "7432118" 44970 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
15022 "29616" "7432119" 45018 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1225 "21886" "7847299" 70426 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1245 "21885" "7846965" 67224 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1908 "21887" "8128791" 385564 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1382 "21891" "7847352" 70867 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1713 "21865" "8128916" 387473 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1286 "21872" "7847076" 68262 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
19057 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
278 "45952" "8148145" 398807 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
2679 "11705" "747606" 14714 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2886 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2608 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2888 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
415 "29093" "7413976" 41748 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
414 "29092" "7413975" 41718 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
3606 "5232" "56646" 8900 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
13478 "27242" "7322653" 37910 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13475 "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.
3374 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
3350 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
2899 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
18344 "13808" "1228372" 16445 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16444 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
5842 "17480" "2657524" 21021 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21020 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
17486 "28435" "7339430" 39282 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39281 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
17484 "28434" "7339429" 39258 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39257 "64820" "Suostas" [56.32837775901334,24.713656830174433]
3347 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
2893 "3554" "57640" 10653 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10652 "12152" "Jonaičiai" [55.34641499999999,21.570023]
12609 "29102" "7413991" 41842 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 41841 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
7224 "40377" "8016002" 101384 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 101383 "97223" "Tarvydai I" [55.328604,21.56423]
22686 "40378" "8016003" 101393 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 101392 "97223" "Tarvydai I" [55.328604,21.56423]
3579 "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