GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-03-16T07:03:31+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: 1581
  • Shapes: 4032
  • Stops: 15456
  • Trips: 28926

Specification Compliance report

119155 notices reported (0 errors, 119122 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`.
283 "6209" 387 "18329" "M1" "Alytus - Geniai" 3 "48"
952 "16052" 1008 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
417 "3645" 1401 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4155

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 4155 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" 520929 29882.7 878 520928 29882.7 877 0.12791084993239907
"2328" 428632 35929.8 642 428631 35929.8 641 0.11119510090982554
"3659" 515979 49657.5 1177 515978 49657.5 1176 0.12791084993239907
"42205" 3457741 57850.1 335 3457740 57850.1 334 0.06178544815632574
"2369" 417436 63265.5 1261 417435 63265.5 1260 0.11119510090982554
"2385" 626893 69168.3 1771 626892 69168.3 1770 0.06441976500794575
"28733" 2390249 71509.2 1569 2390248 71509.2 1568 0.06441976500794575
"1919" 789623 136875.8 2842 789622 136875.8 2841 0.12752942403551987
"1919" 789626 136876.0 2845 789625 136876.0 2844 0.11119510090982554
"1919" 789633 136876.5 2852 789632 136876.5 2851 0.11119510232447394
"1919" 789636 136876.7 2855 789635 136876.7 2854 0.11119510161714974
"1919" 789639 136876.9 2858 789638 136876.9 2857 0.12752941555597483
"1919" 789648 136877.5 2867 789647 136877.5 2866 0.11119510090982554
"1919" 789651 136877.7 2870 789650 136877.7 2869 0.11119510161714974
"1919" 789654 136877.9 2873 789653 136877.9 2872 0.11119510090982554
"1919" 789661 136878.4 2880 789660 136878.4 2879 0.11119510090982554
"1919" 789664 136878.6 2883 789663 136878.6 2882 0.11119510161714974
"1919" 789673 136879.2 2892 789672 136879.2 2891 0.11119510090982554
"1919" 789676 136879.4 2895 789675 136879.4 2894 0.12752939825777979
"1919" 789679 136879.6 2898 789678 136879.6 2897 0.11119510161714974
"1919" 789688 136880.2 2907 789687 136880.2 2906 0.11119510161714974
"1919" 789692 136880.5 2911 789691 136880.5 2910 0.06244513630731429
"1919" 789698 136880.9 2917 789697 136880.9 2916 0.11119510161714974
"1919" 789701 136881.1 2920 789700 136881.1 2919 0.11119510090982554
"1919" 789704 136881.3 2923 789703 136881.3 2922 0.11119510090982554
"1919" 789713 136881.9 2932 789712 136881.9 2931 0.12752938095958766
"1919" 789716 136882.1 2935 789715 136882.1 2934 0.11119510161714974
"1919" 789727 136882.8 2946 789726 136882.8 2945 0.11119510161714974
"1919" 789732 136883.1 2951 789731 136883.1 2950 0.11119510161714974
"1919" 789740 136883.6 2959 789739 136883.6 2958 0.11119510090982554
"1919" 789745 136883.9 2964 789744 136883.9 2963 0.11119510090982554
"1919" 789758 136884.7 2977 789757 136884.7 2976 0.11119510161714974
"1919" 789760 136884.8 2979 789759 136884.8 2978 0.11119510090982554
"1919" 789763 136885.0 2982 789762 136885.0 2981 0.11119510161714974
"1919" 789771 136885.5 2990 789770 136885.5 2989 0.1275293557985862
"1919" 789773 136885.6 2992 789772 136885.6 2991 0.11119510161714974
"1919" 789776 136885.8 2995 789775 136885.8 2994 0.11119510090982554
"1919" 789778 136885.9 2997 789777 136885.9 2996 0.11119510232447394
"1919" 789784 136886.3 3003 789783 136886.3 3002 0.06244505260741443
"1919" 789789 136886.6 3008 789788 136886.6 3007 0.11119510161714974
"1919" 789791 136886.7 3010 789790 136886.7 3009 0.11119510090982554
"1919" 789794 136886.9 3013 789793 136886.9 3012 0.11119510090982554
"1919" 789796 136887.0 3015 789795 136887.0 3014 0.11119510090982554
"1919" 789802 136887.4 3021 789801 136887.4 3020 0.11119510090982554
"1919" 789804 136887.5 3023 789803 136887.5 3022 0.11119510161714974
"1919" 789807 136887.7 3026 789806 136887.7 3025 0.11119510090982554
"1919" 789809 136887.8 3028 789808 136887.8 3027 0.11119510161714974
"1919" 789820 136888.5 3039 789819 136888.5 3038 0.11119510161714974
"1919" 789822 136888.6 3041 789821 136888.6 3040 0.11119510090982554
"1919" 789825 136888.8 3044 789824 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 14407

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 14407 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" 3222005 350.5 28 3222004 350.5 27
"43541" 3222016 811.7 39 3222015 811.7 38
"43541" 3222055 1779.8 78 3222054 1779.8 77
"43541" 3222099 3184.3 122 3222098 3184.3 121
"43541" 3222132 4418.1 155 3222131 4418.1 154
"43541" 3222148 4854.6 171 3222147 4854.6 170
"43541" 3222197 6561.9 220 3222196 6561.9 219
"43541" 3222233 7544.1 256 3222232 7544.1 255
"43541" 3222272 8757.6 295 3222271 8757.6 294
"43541" 3222289 9358.6 312 3222288 9358.6 311
"43541" 3222316 9709.1 339 3222315 9709.1 338
"43541" 3222362 10376.7 385 3222361 10376.7 384
"43541" 3222415 11116.1 438 3222414 11116.1 437
"43541" 3222446 11700.4 469 3222445 11700.4 468
"43541" 3222477 12284.8 500 3222476 12284.8 499
"43541" 3222738 14358.7 761 3222737 14358.7 760
"43541" 3222814 14706.8 837 3222813 14706.8 836
"43541" 3222914 15301.6 937 3222913 15301.6 936
"43541" 3223014 15896.4 1037 3223013 15896.4 1036
"43541" 3223090 16244.5 1113 3223089 16244.5 1112
"43541" 3223288 17133.2 1311 3223287 17133.2 1310
"43541" 3223531 18161.9 1554 3223530 18161.9 1553
"43541" 3223556 18472.3 1579 3223555 18472.3 1578
"43541" 3223606 18976.3 1629 3223605 18976.3 1628
"43541" 3223753 19673.4 1776 3223752 19673.4 1775
"43541" 3223982 21285.9 2005 3223981 21285.9 2004
"43541" 3224058 22756.6 2081 3224057 22756.6 2080
"43541" 3224134 24227.3 2157 3224133 24227.3 2156
"43541" 3224173 24719.6 2196 3224172 24719.6 2195
"43541" 3224190 25292.2 2213 3224189 25292.2 2212
"43541" 3224209 25625.9 2232 3224208 25625.9 2231
"43541" 3224297 26736.7 2320 3224296 26736.7 2319
"43541" 3224384 27236.5 2407 3224383 27236.5 2406
"43541" 3224433 28436.1 2456 3224432 28436.1 2455
"43541" 3224472 28928.5 2495 3224471 28928.5 2494
"43541" 3224523 29639.4 2546 3224522 29639.4 2545
"43541" 3224754 30811.2 2777 3224753 30811.2 2776
"43541" 3224830 31159.3 2853 3224829 31159.3 2852
"43541" 3224930 31754.1 2953 3224929 31754.1 2952
"43541" 3225030 32348.9 3053 3225029 32348.9 3052
"43541" 3225106 32697.0 3129 3225105 32697.0 3128
"43541" 3225304 33585.6 3327 3225303 33585.6 3326
"43541" 3225588 35228.5 3611 3225587 35228.5 3610
"43541" 3225641 35967.9 3664 3225640 35967.9 3663
"43541" 3225672 36552.2 3695 3225671 36552.2 3694
"43541" 3225703 37136.6 3726 3225702 37136.6 3725
"43531" 2257585 1036.1 44 2257584 1036.1 43
"43531" 2257614 1669.1 73 2257613 1669.1 72
"43531" 2257641 2285.2 100 2257640 2285.2 99
"43531" 2257682 4091.8 141 2257681 4091.8 140
expired_calendar WARNING 67

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 67 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
11914 "13743"
2956 "73341"
5859 "2499"
2903 "1256"
2899 "1271"
11879 "1294"
20658 "24601"
20652 "24602"
2 "1339"
5856 "2685"
20649 "12709"
8872 "1379"
11905 "2737"
14861 "2766"
9 "1461"
14874 "47502"
17730 "2814"
11909 "2849"
11910 "2852"
14863 "2850"
8887 "2980"
14862 "2975"
5857 "2974"
17729 "2972"
11925 "47985"
20643 "1954"
17738 "20239"
20653 "20237"
20651 "17222"
17736 "31530"
14869 "17343"
23 "43774"
20638 "678"
11878 "973"
54 "76307"
17777 "76308"
55 "76309"
15047 "65863"
3082 "65865"
20646 "3000"
5858 "3012"
20654 "13033"
2912 "13105"
14923 "76816"
12 "2009"
14 "2022"
14879 "48071"
26 "48073"
11897 "2066"
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.
12349 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 213673 17 "99227" "Krekenava" "14:03:00" 213674 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.
1840 "2699" "7597130"
1861 "2699" "7597181"
1893 "2699" "7597150"
1939 "2699" "7597138"
2065 "2699" "7597196"
2088 "2699" "7597144"
2182 "2699" "7597128"
2204 "2699" "7597186"
2600 "2699" "7597155"
2712 "2699" "7597174"
2748 "2699" "7597146"
2826 "2699" "7597199"
2858 "2699" "7597200"
2924 "2699" "7597139"
3005 "2699" "7597169"
3133 "2699" "7597135"
3137 "2699" "7597165"
3202 "2699" "7597160"
3278 "2699" "7597183"
3533 "2699" "7597148"
3568 "2699" "7597194"
3579 "2699" "7597131"
3597 "2699" "7597163"
3664 "2699" "7597188"
3667 "2699" "7597203"
3675 "2699" "7597157"
3750 "2699" "7597180"
3878 "2699" "7597212"
3997 "2699" "7597127"
4044 "2699" "7597192"
4265 "2699" "7597166"
4322 "2699" "7597167"
4326 "2699" "7597134"
4333 "2699" "7597206"
4339 "2699" "7597143"
4348 "2699" "7597190"
4385 "2699" "7597204"
4513 "2699" "7597177"
4569 "2699" "7597202"
4629 "2699" "7597142"
4656 "2699" "7597207"
4697 "2699" "7597021"
4797 "2699" "7597136"
4836 "2699" "7597125"
4984 "2699" "7597198"
5037 "2699" "7597211"
5075 "2699" "7597208"
5114 "2699" "7597210"
5122 "2699" "7597201"
5124 "2699" "7597172"
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 305

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 305 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" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 101
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 163
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 177
"routes.txt" "route_short_name" "3_VLP" 192
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 238
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 288
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 299
"routes.txt" "route_short_name" "40-DT" 349
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 365
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 378
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 384
"routes.txt" "route_short_name" "5_VLP" 400
"routes.txt" "route_short_name" "94AT" 522
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 577
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 578
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 579
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 583
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 584
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 587
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 588
"routes.txt" "route_short_name" "2_VLP" 600
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 614
"routes.txt" "route_short_name" "94-DC" 691
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 692
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 699
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 756
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 825
"routes.txt" "route_short_name" "70AC" 859
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 960
"routes.txt" "route_short_name" "4_VLP" 969
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1041
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1054
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1069
"routes.txt" "route_short_name" "1A_VLP" 1176
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1228
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1255
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1256
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1273
"routes.txt" "route_short_name" "50AB" 1302
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1323
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1350
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1354
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1356
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 1357
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1358
"routes.txt" "route_short_name" "2A_VLP" 1374
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1394
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1434
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1439
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.
5095 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
4415 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
11628 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
4197 "43544" "8124133" 381212 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
5637 "43548" "8124139" 381250 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
1846 "26974" "7317014" 39345 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
1846 "26974" "7317014" 39346 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
1846 "26974" "7317014" 39361 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
3141 "16822" "2392140" 25538 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
3115 "16821" "2392136" 25482 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
5252 "16823" "2392142" 25577 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
5358 "18654" "3218451" 28734 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
2468 "32206" "7476583" 50929 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
2468 "32206" "7476583" 50930 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
2468 "32206" "7476583" 50931 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
2468 "32206" "7476583" 50934 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
2468 "32206" "7476583" 50939 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
12541 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12403 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
14139 "37872" "61_49W" 76901 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
5681 "29420" "7429613" 45664 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
4358 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2326 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2474 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4808 "14622" "7150732" 38246 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
4916 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10965 "29615" "7432118" 46072 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
5760 "29616" "7432119" 46120 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
8610 "21886" "60_A4-01-6-251110-ba-0730" 383673 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
759 "21885" "60_A2-01-7-251110-ab-0840" 383248 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
867 "21887" "60_A2-01-7-251110-ab3-1430" 382618 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
886 "21891" "60_A2-01-7-251110-ab2-0730" 382695 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
751 "21865" "60_A2-01-7-251110-b3a-0920" 382415 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
846 "21872" "60_A30-01-6-251110-b2a-1720" 384033 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
3563 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3078 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
3335 "4711" "47250" 4661 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
6133 "11705" "747606" 18630 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5524 "6511" "54507" 10572 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5046 "6509" "54501" 10518 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
10742 "6513" "54509" 10596 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3840 "29093" "7413977" 43223 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2295 "29092" "7413975" 43179 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
4075 "5232" "48166" 5785 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
2018 "44681" "8136898" 395916 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4045 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3444 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4934 "17131" "2515701" 25980 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
12274 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11697 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
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.
2952 "3645" "57657" 14579 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14578 "12152" "Jonaičiai" [55.34641499999999,21.570023]
3143 "3667" "57730" 14718 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14717 "13926" "Jonaičiai" [55.346103,21.568929]
2533 "3714" "57736" 14792 "13926" "Jonaičiai" [55.346103,21.568929] 14791 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
11441 "13808" "1228372" 21414 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21413 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
2409 "26489" "7231018" 38839 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38838 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
3713 "28435" "7339430" 40861 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40860 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
4585 "28434" "7339429" 40837 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40836 "64820" "Suostas" [56.32837775901334,24.713656830174433]
2525 "6591" "57636" 14255 "13926" "Jonaičiai" [55.346103,21.568929] 14254 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
1962 "3554" "57639" 14295 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14294 "12152" "Jonaičiai" [55.34641499999999,21.570023]
10964 "29102" "7413991" 43303 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43302 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
5101 "40377" "8016002" 110860 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 110859 "97223" "Tarvydai I" [55.328604,21.56423]
12548 "40378" "8016003" 110869 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 110868 "97223" "Tarvydai I" [55.328604,21.56423]
3784 "5353" "57618" 14067 "13926" "Jonaičiai" [55.346103,21.568929] 14066 "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