GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-02T06:07:33+03:00,
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: 52
  • Blocks: 0
  • Routes: 1572
  • Shapes: 3938
  • Stops: 15134
  • Trips: 24920

Specification Compliance report

119961 notices reported (0 errors, 119928 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 4

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`.
303 "6209" 342 "18329" "M1" "Alytus - Geniai" 3 "48"
900 "16052" 1044 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
145 "20364" 1095 "20445" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
453 "3645" 1372 "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" 508088 29882.7 878 508087 29882.7 877 0.12791084993239907
"2328" 415791 35929.8 642 415790 35929.8 641 0.11119510090982554
"3659" 503138 49657.5 1177 503137 49657.5 1176 0.12791084993239907
"42205" 3468338 57850.1 335 3468337 57850.1 334 0.06178544815632574
"2369" 404595 63265.5 1261 404594 63265.5 1260 0.11119510090982554
"2385" 614052 69168.3 1771 614051 69168.3 1770 0.06441976500794575
"28733" 2360623 71509.2 1569 2360622 71509.2 1568 0.06441976500794575
"1919" 776643 136875.8 2842 776642 136875.8 2841 0.12752942403551987
"1919" 776646 136876.0 2845 776645 136876.0 2844 0.11119510090982554
"1919" 776653 136876.5 2852 776652 136876.5 2851 0.11119510232447394
"1919" 776656 136876.7 2855 776655 136876.7 2854 0.11119510161714974
"1919" 776659 136876.9 2858 776658 136876.9 2857 0.12752941555597483
"1919" 776668 136877.5 2867 776667 136877.5 2866 0.11119510090982554
"1919" 776671 136877.7 2870 776670 136877.7 2869 0.11119510161714974
"1919" 776674 136877.9 2873 776673 136877.9 2872 0.11119510090982554
"1919" 776681 136878.4 2880 776680 136878.4 2879 0.11119510090982554
"1919" 776684 136878.6 2883 776683 136878.6 2882 0.11119510161714974
"1919" 776693 136879.2 2892 776692 136879.2 2891 0.11119510090982554
"1919" 776696 136879.4 2895 776695 136879.4 2894 0.12752939825777979
"1919" 776699 136879.6 2898 776698 136879.6 2897 0.11119510161714974
"1919" 776708 136880.2 2907 776707 136880.2 2906 0.11119510161714974
"1919" 776712 136880.5 2911 776711 136880.5 2910 0.06244513630731429
"1919" 776718 136880.9 2917 776717 136880.9 2916 0.11119510161714974
"1919" 776721 136881.1 2920 776720 136881.1 2919 0.11119510090982554
"1919" 776724 136881.3 2923 776723 136881.3 2922 0.11119510090982554
"1919" 776733 136881.9 2932 776732 136881.9 2931 0.12752938095958766
"1919" 776736 136882.1 2935 776735 136882.1 2934 0.11119510161714974
"1919" 776747 136882.8 2946 776746 136882.8 2945 0.11119510161714974
"1919" 776752 136883.1 2951 776751 136883.1 2950 0.11119510161714974
"1919" 776760 136883.6 2959 776759 136883.6 2958 0.11119510090982554
"1919" 776765 136883.9 2964 776764 136883.9 2963 0.11119510090982554
"1919" 776778 136884.7 2977 776777 136884.7 2976 0.11119510161714974
"1919" 776780 136884.8 2979 776779 136884.8 2978 0.11119510090982554
"1919" 776783 136885.0 2982 776782 136885.0 2981 0.11119510161714974
"1919" 776791 136885.5 2990 776790 136885.5 2989 0.1275293557985862
"1919" 776793 136885.6 2992 776792 136885.6 2991 0.11119510161714974
"1919" 776796 136885.8 2995 776795 136885.8 2994 0.11119510090982554
"1919" 776798 136885.9 2997 776797 136885.9 2996 0.11119510232447394
"1919" 776804 136886.3 3003 776803 136886.3 3002 0.06244505260741443
"1919" 776809 136886.6 3008 776808 136886.6 3007 0.11119510161714974
"1919" 776811 136886.7 3010 776810 136886.7 3009 0.11119510090982554
"1919" 776814 136886.9 3013 776813 136886.9 3012 0.11119510090982554
"1919" 776816 136887.0 3015 776815 136887.0 3014 0.11119510090982554
"1919" 776822 136887.4 3021 776821 136887.4 3020 0.11119510090982554
"1919" 776824 136887.5 3023 776823 136887.5 3022 0.11119510161714974
"1919" 776827 136887.7 3026 776826 136887.7 3025 0.11119510090982554
"1919" 776829 136887.8 3028 776828 136887.8 3027 0.11119510161714974
"1919" 776840 136888.5 3039 776839 136888.5 3038 0.11119510161714974
"1919" 776842 136888.6 3041 776841 136888.6 3040 0.11119510090982554
"1919" 776845 136888.8 3044 776844 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 15208

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 15208 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" 3218222 350.5 28 3218221 350.5 27
"43541" 3218233 811.7 39 3218232 811.7 38
"43541" 3218272 1779.8 78 3218271 1779.8 77
"43541" 3218316 3184.3 122 3218315 3184.3 121
"43541" 3218349 4418.1 155 3218348 4418.1 154
"43541" 3218365 4854.6 171 3218364 4854.6 170
"43541" 3218414 6561.9 220 3218413 6561.9 219
"43541" 3218450 7544.1 256 3218449 7544.1 255
"43541" 3218489 8757.6 295 3218488 8757.6 294
"43541" 3218506 9358.6 312 3218505 9358.6 311
"43541" 3218533 9709.1 339 3218532 9709.1 338
"43541" 3218579 10376.7 385 3218578 10376.7 384
"43541" 3218632 11116.1 438 3218631 11116.1 437
"43541" 3218663 11700.4 469 3218662 11700.4 468
"43541" 3218694 12284.8 500 3218693 12284.8 499
"43541" 3218955 14358.7 761 3218954 14358.7 760
"43541" 3219031 14706.8 837 3219030 14706.8 836
"43541" 3219131 15301.6 937 3219130 15301.6 936
"43541" 3219231 15896.4 1037 3219230 15896.4 1036
"43541" 3219307 16244.5 1113 3219306 16244.5 1112
"43541" 3219505 17133.2 1311 3219504 17133.2 1310
"43541" 3219748 18161.9 1554 3219747 18161.9 1553
"43541" 3219773 18472.3 1579 3219772 18472.3 1578
"43541" 3219823 18976.3 1629 3219822 18976.3 1628
"43541" 3219970 19673.4 1776 3219969 19673.4 1775
"43541" 3220199 21285.9 2005 3220198 21285.9 2004
"43541" 3220275 22756.6 2081 3220274 22756.6 2080
"43541" 3220351 24227.3 2157 3220350 24227.3 2156
"43541" 3220390 24719.6 2196 3220389 24719.6 2195
"43541" 3220407 25292.2 2213 3220406 25292.2 2212
"43541" 3220426 25625.9 2232 3220425 25625.9 2231
"43541" 3220514 26736.7 2320 3220513 26736.7 2319
"43541" 3220601 27236.5 2407 3220600 27236.5 2406
"43541" 3220650 28436.1 2456 3220649 28436.1 2455
"43541" 3220689 28928.5 2495 3220688 28928.5 2494
"43541" 3220740 29639.4 2546 3220739 29639.4 2545
"43541" 3220971 30811.2 2777 3220970 30811.2 2776
"43541" 3221047 31159.3 2853 3221046 31159.3 2852
"43541" 3221147 31754.1 2953 3221146 31754.1 2952
"43541" 3221247 32348.9 3053 3221246 32348.9 3052
"43541" 3221323 32697.0 3129 3221322 32697.0 3128
"43541" 3221521 33585.6 3327 3221520 33585.6 3326
"43541" 3221805 35228.5 3611 3221804 35228.5 3610
"43541" 3221858 35967.9 3664 3221857 35967.9 3663
"43541" 3221889 36552.2 3695 3221888 36552.2 3694
"43541" 3221920 37136.6 3726 3221919 37136.6 3725
"43531" 2230816 1036.1 44 2230815 1036.1 43
"43531" 2230845 1669.1 73 2230844 1669.1 72
"43531" 2230872 2285.2 100 2230871 2285.2 99
"43531" 2230913 4091.8 141 2230912 4091.8 140
expired_calendar WARNING 77

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 77 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
12411 "13743"
3085 "73341"
6114 "2499"
3034 "1256"
3030 "1271"
12376 "1294"
21523 "24601"
2 "1339"
6111 "2685"
21515 "12709"
9237 "1379"
3221 "83028"
12402 "2737"
15468 "2766"
9 "1461"
15481 "47502"
18472 "2814"
12406 "2849"
12407 "2852"
15470 "2850"
9252 "2980"
15469 "2975"
6112 "2974"
18471 "2972"
12422 "47985"
21509 "1954"
18480 "20239"
21518 "20237"
12596 "67236"
12597 "69891"
15667 "69890"
15668 "69907"
12598 "69910"
21517 "17222"
18478 "31530"
15476 "17343"
23 "43774"
21504 "678"
18640 "78769"
9421 "66881"
6297 "89537"
9438 "89536"
12375 "973"
48 "76307"
18514 "76308"
49 "76309"
15659 "63190"
15660 "63192"
21512 "3000"
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.
21456 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 179678 17 "99227" "Krekenava" "14:03:00" 179679 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.
9 "2699" "7597171"
74 "2699" "7597132"
197 "2699" "7597196"
361 "2699" "7597174"
374 "2699" "7597139"
452 "2699" "7597169"
527 "2699" "7597183"
578 "2699" "7597148"
625 "2699" "7597131"
643 "2699" "7597163"
665 "2699" "7597194"
729 "2699" "7597212"
1059 "2699" "7597136"
1100 "2699" "7597211"
1136 "2699" "7597208"
1183 "2699" "7597187"
1221 "2699" "7597156"
1245 "2699" "7597209"
1285 "2699" "7597189"
1303 "2699" "7597195"
1349 "2699" "7597126"
1385 "2699" "7597138"
1634 "2699" "7597151"
1644 "2699" "7597197"
1696 "2699" "7597199"
1731 "2699" "7597200"
1809 "2699" "7597135"
1814 "2699" "7597165"
1878 "2699" "7597160"
2030 "2699" "7597180"
2130 "2699" "7597192"
2215 "2699" "7597167"
2219 "2699" "7597134"
2228 "2699" "7597206"
2234 "2699" "7597143"
2245 "2699" "7597190"
2281 "2699" "7597204"
2333 "2699" "7597142"
2361 "2699" "7597207"
2402 "2699" "7597021"
2493 "2699" "7597198"
2567 "2699" "7597184"
2762 "2699" "7597141"
2790 "2699" "7597182"
21605 "2699" "7597193"
21614 "2699" "7597175"
21792 "2699" "7597129"
21803 "2699" "7597153"
21855 "2699" "7597173"
22086 "2699" "7597161"
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 298

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 298 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\"" 52
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 9
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 135
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 136
"routes.txt" "route_short_name" "3_VLP" 162
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 240
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 259
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 290
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 327
"routes.txt" "route_short_name" "5_VLP" 354
"routes.txt" "route_short_name" "40-DT" 368
"routes.txt" "route_short_name" "94AT" 499
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 528
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 538
"routes.txt" "route_short_name" "2_VLP" 550
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 595
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 623
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 627
"routes.txt" "route_short_name" "94-DC" 674
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 699
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 702
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 703
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 704
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 705
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 767
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 889
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 890
"routes.txt" "route_long_name" "JONAVA-KULVA" 894
"routes.txt" "route_short_name" "4_VLP" 930
"routes.txt" "route_short_name" "70AC" 954
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 981
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 992
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1090
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1091
"routes.txt" "route_short_name" "1A_VLP" 1130
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1153
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1185
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1209
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1215
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1265
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1294
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1295
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1311
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1312
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1313
"routes.txt" "route_short_name" "2A_VLP" 1332
"routes.txt" "route_short_name" "50AB" 1362
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1424
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1435
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1436
stop_too_far_from_shape WARNING 51

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 51 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.
1161 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
864 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22888 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
846 "43544" "8124133" 270999 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
2 "43548" "8124139" 271037 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
519 "26974" "7317013" 39223 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
519 "26974" "7317013" 39224 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
519 "26974" "7317013" 39239 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
492 "16822" "2392139" 25158 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
1214 "16821" "2392134" 25100 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
2563 "16823" "2392142" 25215 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
1228 "18654" "3218451" 28351 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
214 "32206" "7476583" 50659 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
214 "32206" "7476583" 50660 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
214 "32206" "7476583" 50661 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
214 "32206" "7476583" 50664 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
214 "32206" "7476583" 50669 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
21959 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21826 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
44 "29420" "7429613" 45378 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2255 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23972 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
220 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1252 "14622" "7150733" 38156 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
2424 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22326 "29615" "7432118" 45786 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
23713 "29616" "7432119" 45834 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
7944 "21886" "60_A4-01-6-251110-ba-0730" 272843 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
3001 "21885" "60_A2-01-7-251110-ab-0840" 272418 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3154 "21887" "60_A2-01-7-251110-ab3-1430" 271788 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3172 "21891" "60_A2-01-7-251110-ab2-0730" 271865 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2992 "21865" "60_A2-01-7-251110-b3a-0920" 271585 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
3132 "21872" "60_A30-01-6-251110-b2a-1720" 273203 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
609 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2098 "4710" "47248" 4648 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
23505 "4711" "47251" 4673 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
1321 "11705" "747606" 18268 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2646 "6511" "54507" 10612 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
47 "6509" "54502" 10573 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
22179 "6513" "54509" 10636 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
695 "29093" "7413977" 42983 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
1564 "29092" "7413975" 42939 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2161 "5232" "48166" 5825 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
909 "44681" "8136902" 284636 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2131 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1917 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2443 "17131" "2515701" 25618 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
21674 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22962 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1212 "15331" "2211799" 22396 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
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.
401 "3645" "57657" 14619 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14618 "12152" "Jonaičiai" [55.34641499999999,21.570023]
1820 "3667" "57730" 14758 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14757 "13926" "Jonaičiai" [55.346103,21.568929]
577 "3714" "57735" 14816 "13926" "Jonaičiai" [55.346103,21.568929] 14815 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
22693 "13808" "1228372" 21052 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21051 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
24156 "26489" "7231018" 38734 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38733 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
24280 "35668" "7652364" 62386 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 62385 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
1992 "28435" "7339430" 40633 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40632 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
23317 "28434" "7339429" 40609 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40608 "64820" "Suostas" [56.32837775901334,24.713656830174433]
862 "6591" "57635" 14279 "13926" "Jonaičiai" [55.346103,21.568929] 14278 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
1409 "3554" "57639" 14335 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14334 "12152" "Jonaičiai" [55.34641499999999,21.570023]
22325 "29102" "7413991" 43063 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43062 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
23438 "40377" "8016002" 105174 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 105173 "97223" "Tarvydai I" [55.328604,21.56423]
21965 "40378" "8016003" 105183 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 105182 "97223" "Tarvydai I" [55.328604,21.56423]
1317 "5353" "57622" 14124 "13926" "Jonaičiai" [55.346103,21.568929] 14123 "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