GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-03-25T06:10:34+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: 51
  • Blocks: 0
  • Routes: 1591
  • Shapes: 3956
  • Stops: 14882
  • Trips: 29357

Specification Compliance report

115434 notices reported (0 errors, 115401 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`.
301 "6209" 387 "18329" "M1" "Alytus - Geniai" 3 "48"
959 "16052" 1032 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
450 "3645" 1407 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4156

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 4156 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" 514265 29882.7 878 514264 29882.7 877 0.12791084993239907
"2328" 421968 35929.8 642 421967 35929.8 641 0.11119510090982554
"3659" 509315 49657.5 1177 509314 49657.5 1176 0.12791084993239907
"42205" 3507623 57850.1 335 3507622 57850.1 334 0.06178544815632574
"2369" 410772 63265.5 1261 410771 63265.5 1260 0.11119510090982554
"2385" 620229 69168.3 1771 620228 69168.3 1770 0.06441976500794575
"28733" 2405797 71509.2 1569 2405796 71509.2 1568 0.06441976500794575
"1919" 782959 136875.8 2842 782958 136875.8 2841 0.12752942403551987
"1919" 782962 136876.0 2845 782961 136876.0 2844 0.11119510090982554
"1919" 782969 136876.5 2852 782968 136876.5 2851 0.11119510232447394
"1919" 782972 136876.7 2855 782971 136876.7 2854 0.11119510161714974
"1919" 782975 136876.9 2858 782974 136876.9 2857 0.12752941555597483
"1919" 782984 136877.5 2867 782983 136877.5 2866 0.11119510090982554
"1919" 782987 136877.7 2870 782986 136877.7 2869 0.11119510161714974
"1919" 782990 136877.9 2873 782989 136877.9 2872 0.11119510090982554
"1919" 782997 136878.4 2880 782996 136878.4 2879 0.11119510090982554
"1919" 783000 136878.6 2883 782999 136878.6 2882 0.11119510161714974
"1919" 783009 136879.2 2892 783008 136879.2 2891 0.11119510090982554
"1919" 783012 136879.4 2895 783011 136879.4 2894 0.12752939825777979
"1919" 783015 136879.6 2898 783014 136879.6 2897 0.11119510161714974
"1919" 783024 136880.2 2907 783023 136880.2 2906 0.11119510161714974
"1919" 783028 136880.5 2911 783027 136880.5 2910 0.06244513630731429
"1919" 783034 136880.9 2917 783033 136880.9 2916 0.11119510161714974
"1919" 783037 136881.1 2920 783036 136881.1 2919 0.11119510090982554
"1919" 783040 136881.3 2923 783039 136881.3 2922 0.11119510090982554
"1919" 783049 136881.9 2932 783048 136881.9 2931 0.12752938095958766
"1919" 783052 136882.1 2935 783051 136882.1 2934 0.11119510161714974
"1919" 783063 136882.8 2946 783062 136882.8 2945 0.11119510161714974
"1919" 783068 136883.1 2951 783067 136883.1 2950 0.11119510161714974
"1919" 783076 136883.6 2959 783075 136883.6 2958 0.11119510090982554
"1919" 783081 136883.9 2964 783080 136883.9 2963 0.11119510090982554
"1919" 783094 136884.7 2977 783093 136884.7 2976 0.11119510161714974
"1919" 783096 136884.8 2979 783095 136884.8 2978 0.11119510090982554
"1919" 783099 136885.0 2982 783098 136885.0 2981 0.11119510161714974
"1919" 783107 136885.5 2990 783106 136885.5 2989 0.1275293557985862
"1919" 783109 136885.6 2992 783108 136885.6 2991 0.11119510161714974
"1919" 783112 136885.8 2995 783111 136885.8 2994 0.11119510090982554
"1919" 783114 136885.9 2997 783113 136885.9 2996 0.11119510232447394
"1919" 783120 136886.3 3003 783119 136886.3 3002 0.06244505260741443
"1919" 783125 136886.6 3008 783124 136886.6 3007 0.11119510161714974
"1919" 783127 136886.7 3010 783126 136886.7 3009 0.11119510090982554
"1919" 783130 136886.9 3013 783129 136886.9 3012 0.11119510090982554
"1919" 783132 136887.0 3015 783131 136887.0 3014 0.11119510090982554
"1919" 783138 136887.4 3021 783137 136887.4 3020 0.11119510090982554
"1919" 783140 136887.5 3023 783139 136887.5 3022 0.11119510161714974
"1919" 783143 136887.7 3026 783142 136887.7 3025 0.11119510090982554
"1919" 783145 136887.8 3028 783144 136887.8 3027 0.11119510161714974
"1919" 783156 136888.5 3039 783155 136888.5 3038 0.11119510161714974
"1919" 783158 136888.6 3041 783157 136888.6 3040 0.11119510090982554
"1919" 783161 136888.8 3044 783160 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 10767

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 10767 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" 3260730 350.5 28 3260729 350.5 27
"43541" 3260741 811.7 39 3260740 811.7 38
"43541" 3260780 1779.8 78 3260779 1779.8 77
"43541" 3260824 3184.3 122 3260823 3184.3 121
"43541" 3260857 4418.1 155 3260856 4418.1 154
"43541" 3260873 4854.6 171 3260872 4854.6 170
"43541" 3260922 6561.9 220 3260921 6561.9 219
"43541" 3260958 7544.1 256 3260957 7544.1 255
"43541" 3260997 8757.6 295 3260996 8757.6 294
"43541" 3261014 9358.6 312 3261013 9358.6 311
"43541" 3261041 9709.1 339 3261040 9709.1 338
"43541" 3261087 10376.7 385 3261086 10376.7 384
"43541" 3261140 11116.1 438 3261139 11116.1 437
"43541" 3261171 11700.4 469 3261170 11700.4 468
"43541" 3261202 12284.8 500 3261201 12284.8 499
"43541" 3261463 14358.7 761 3261462 14358.7 760
"43541" 3261539 14706.8 837 3261538 14706.8 836
"43541" 3261639 15301.6 937 3261638 15301.6 936
"43541" 3261739 15896.4 1037 3261738 15896.4 1036
"43541" 3261815 16244.5 1113 3261814 16244.5 1112
"43541" 3262013 17133.2 1311 3262012 17133.2 1310
"43541" 3262256 18161.9 1554 3262255 18161.9 1553
"43541" 3262281 18472.3 1579 3262280 18472.3 1578
"43541" 3262331 18976.3 1629 3262330 18976.3 1628
"43541" 3262478 19673.4 1776 3262477 19673.4 1775
"43541" 3262707 21285.9 2005 3262706 21285.9 2004
"43541" 3262783 22756.6 2081 3262782 22756.6 2080
"43541" 3262859 24227.3 2157 3262858 24227.3 2156
"43541" 3262898 24719.6 2196 3262897 24719.6 2195
"43541" 3262915 25292.2 2213 3262914 25292.2 2212
"43541" 3262934 25625.9 2232 3262933 25625.9 2231
"43541" 3263022 26736.7 2320 3263021 26736.7 2319
"43541" 3263109 27236.5 2407 3263108 27236.5 2406
"43541" 3263158 28436.1 2456 3263157 28436.1 2455
"43541" 3263197 28928.5 2495 3263196 28928.5 2494
"43541" 3263248 29639.4 2546 3263247 29639.4 2545
"43541" 3263479 30811.2 2777 3263478 30811.2 2776
"43541" 3263555 31159.3 2853 3263554 31159.3 2852
"43541" 3263655 31754.1 2953 3263654 31754.1 2952
"43541" 3263755 32348.9 3053 3263754 32348.9 3052
"43541" 3263831 32697.0 3129 3263830 32697.0 3128
"43541" 3264029 33585.6 3327 3264028 33585.6 3326
"43541" 3264313 35228.5 3611 3264312 35228.5 3610
"43541" 3264366 35967.9 3664 3264365 35967.9 3663
"43541" 3264397 36552.2 3695 3264396 36552.2 3694
"43541" 3264428 37136.6 3726 3264427 37136.6 3725
"43531" 2274951 1036.1 44 2274950 1036.1 43
"43531" 2274980 1669.1 73 2274979 1669.1 72
"43531" 2275007 2285.2 100 2275006 2285.2 99
"43531" 2275048 4091.8 141 2275047 4091.8 140
expired_calendar WARNING 68

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 68 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
7459 "13743"
1876 "73341"
3695 "2499"
1824 "1256"
1820 "1271"
7424 "1294"
12879 "24601"
12873 "24602"
2 "1339"
3692 "2685"
12870 "12709"
5575 "1379"
7450 "2737"
9256 "2766"
9 "1461"
9269 "47502"
11040 "2814"
7454 "2849"
7455 "2852"
9258 "2850"
5590 "2980"
9257 "2975"
3693 "2974"
11039 "2972"
7470 "47985"
12864 "1954"
11048 "20239"
12874 "20237"
12872 "17222"
11046 "31530"
9264 "17343"
23 "43774"
12859 "678"
175 "66854"
11214 "66855"
7634 "66856"
7423 "973"
52 "76307"
11086 "76308"
53 "76309"
12867 "3000"
3694 "3012"
12875 "13033"
1833 "13105"
9315 "76816"
12 "2009"
14 "2022"
9274 "48071"
26 "48073"
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.
13086 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 210692 17 "99227" "Krekenava" "14:03:00" 210693 18 "99243" "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.
2196 "2699" "7597127"
2269 "2699" "7597166"
2325 "2699" "7597177"
2384 "2699" "7597202"
2456 "2699" "7597125"
2536 "2699" "7597210"
2544 "2699" "7597201"
2546 "2699" "7597172"
2594 "2699" "7597164"
2604 "2699" "7597176"
2621 "2699" "7597137"
2679 "2699" "7597170"
2716 "2699" "7597140"
2771 "2699" "7597191"
2776 "2699" "7597133"
2852 "2699" "7597147"
2938 "2699" "7597130"
2959 "2699" "7597181"
2992 "2699" "7597150"
3084 "2699" "7597128"
3107 "2699" "7597186"
3228 "2699" "7597155"
3273 "2699" "7597146"
3326 "2699" "7597161"
3345 "2699" "7597151"
3355 "2699" "7597197"
3406 "2699" "7597199"
3659 "2699" "7597200"
3739 "2699" "7597135"
3744 "2699" "7597165"
3765 "2699" "7597174"
3775 "2699" "7597139"
3953 "2699" "7597159"
4011 "2699" "7597158"
4105 "2699" "7597160"
4152 "2699" "7597169"
4225 "2699" "7597183"
4321 "2699" "7597188"
4324 "2699" "7597203"
4332 "2699" "7597157"
4371 "2699" "7597162"
4581 "2699" "7597148"
4617 "2699" "7597194"
4629 "2699" "7597131"
4647 "2699" "7597163"
4718 "2699" "7597154"
4776 "2699" "7597180"
4954 "2699" "7597212"
5092 "2699" "7597178"
5117 "2699" "7597192"
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 "41891" 1
3 "41891" 2
4 "41891" 3
5 "41891" 4
6 "41891" 5
7 "41891" 6
8 "41891" 7
9 "41891" 8
10 "41891" 9
11 "41979" 1
12 "41979" 2
13 "41979" 3
14 "41979" 4
15 "41980" 1
16 "41980" 2
17 "41980" 3
18 "41980" 4
19 "41981" 1
20 "41981" 2
21 "41981" 3
22 "41981" 4
23 "41982" 1
24 "41982" 2
25 "41982" 3
26 "41982" 4
27 "42101" 1
28 "42101" 2
29 "42101" 4
30 "42101" 5
31 "42101" 6
32 "42103" 1
33 "42103" 2
34 "42103" 4
35 "42103" 5
36 "42103" 6
37 "42105" 1
38 "42105" 2
39 "42105" 4
40 "42105" 5
41 "42203" 1
42 "42203" 2
43 "42203" 3
44 "42203" 4
45 "42203" 5
46 "42203" 6
47 "42203" 7
48 "42203" 8
49 "42203" 9
50 "42203" 10
51 "42203" 11
mixed_case_recommended_field WARNING 221

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 221 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\"" 51
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 17
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 18
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 24
"routes.txt" "route_short_name" "3_VLP" 190
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 208
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 209
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 210
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 214
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 311
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 325
"routes.txt" "route_short_name" "40-DT" 369
"routes.txt" "route_short_name" "5_VLP" 400
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 417
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 418
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 419
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 420
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 421
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 422
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 423
"routes.txt" "route_short_name" "94AT" 563
"routes.txt" "route_short_name" "2_VLP" 602
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 618
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 626
"routes.txt" "route_short_name" "94-DC" 653
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 654
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 682
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 807
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 883
"routes.txt" "route_short_name" "70AC" 948
"routes.txt" "route_short_name" "4_VLP" 970
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 999
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1029
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1087
"routes.txt" "route_short_name" "1A_VLP" 1178
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1193
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1194
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 1195
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1196
"routes.txt" "route_short_name" "50AB" 1200
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1203
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1225
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1245
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1265
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1287
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1330
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1364
"routes.txt" "route_short_name" "2A_VLP" 1378
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1397
"routes.txt" "route_long_name" "JONAVA-KULVA" 1398
stop_too_far_from_shape WARNING 52

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 52 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.
6483 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5539 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
4678 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5520 "43544" "8124133" 374406 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
6832 "43548" "8124139" 374444 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
2944 "26974" "7317014" 39240 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
2944 "26974" "7317014" 39241 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
2944 "26974" "7317014" 39256 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
4043 "16822" "2392140" 25176 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
2478 "16821" "2392135" 25110 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
4377 "16823" "2392141" 25195 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
6549 "18654" "3218451" 28351 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
3191 "32206" "7476583" 50840 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
3191 "32206" "7476583" 50841 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
3191 "32206" "7476583" 50842 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
3191 "32206" "7476583" 50845 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
3191 "32206" "7476583" 50850 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
6891 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6352 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
15610 "37872" "61_49W" 78030 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
7090 "29420" "7429613" 45559 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5444 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7742 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3197 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2427 "14622" "7150732" 38141 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
5819 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7572 "29615" "7432118" 45967 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
2795 "29616" "7432119" 46015 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
9635 "21886" "60_A4-01-6-251110-ba-0730" 376867 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
647 "21885" "60_A30-01-6-251110-ab-1650" 375482 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
8521 "21887" "60_A2-01-7-251110-ab3-1100" 376135 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
944 "21891" "60_A2-01-6-251110-ab2-0740" 377874 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1131 "21865" "60_A2-01-7-251110-b3a-0920" 375609 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
657 "21872" "60_A4-01-6-251110-b2a-2220" 377953 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
4611 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3614 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
2589 "4711" "47251" 4673 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
7351 "11705" "747606" 18268 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5083 "6511" "54508" 10624 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
6215 "6509" "54501" 10558 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
7247 "6513" "54509" 10636 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2458 "29093" "7413976" 43104 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
8012 "29092" "7413975" 43074 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2884 "5232" "48165" 5817 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
5583 "44681" "8136902" 389110 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5118 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4447 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2865 "17131" "2515700" 25592 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
6044 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4751 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
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.
3804 "3645" "57657" 14619 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14618 "12152" "Jonaičiai" [55.34641499999999,21.570023]
4045 "3667" "57730" 14758 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14757 "13926" "Jonaičiai" [55.346103,21.568929]
4579 "3714" "57735" 14816 "13926" "Jonaičiai" [55.346103,21.568929] 14815 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
4007 "13808" "1228372" 21052 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21051 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
8028 "26489" "7231018" 38734 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38733 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
3219 "35668" "7652364" 62569 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 62568 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
4520 "28435" "7339430" 40756 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40755 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
2404 "28434" "7339429" 40732 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40731 "64820" "Suostas" [56.32837775901334,24.713656830174433]
5537 "6591" "57635" 14279 "13926" "Jonaičiai" [55.346103,21.568929] 14278 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
4064 "3554" "57643" 14423 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14422 "12152" "Jonaičiai" [55.34641499999999,21.570023]
7571 "29102" "7413991" 43198 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43197 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
2523 "40377" "8016002" 111989 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 111988 "97223" "Tarvydai I" [55.328604,21.56423]
6897 "40378" "8016003" 111998 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 111997 "97223" "Tarvydai I" [55.328604,21.56423]
2257 "5353" "57623" 14141 "13926" "Jonaičiai" [55.346103,21.568929] 14140 "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