GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-23T06:07:36+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: 53
  • Blocks: 0
  • Routes: 1627
  • Shapes: 4173
  • Stops: 15847
  • Trips: 29902

Specification Compliance report

120496 notices reported (0 errors, 120463 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`.
236 "18329" 319 "6209" "M1" "Alytus - Geniai" 3 "48"
838 "16052" 1080 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
475 "3645" 1504 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4154

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 4154 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" 509869 29882.7 878 509868 29882.7 877 0.12791084993239907
"2328" 417572 35929.8 642 417571 35929.8 641 0.11119510090982554
"3659" 504919 49657.5 1177 504918 49657.5 1176 0.12791084993239907
"42205" 3592003 57850.1 335 3592002 57850.1 334 0.06178544815632574
"2369" 406376 63265.5 1261 406375 63265.5 1260 0.11119510090982554
"2385" 615833 69168.3 1771 615832 69168.3 1770 0.06441976500794575
"28733" 2387616 71509.2 1569 2387615 71509.2 1568 0.06441976500794575
"1919" 766474 136875.8 2842 766473 136875.8 2841 0.12752942403551987
"1919" 766477 136876.0 2845 766476 136876.0 2844 0.11119510090982554
"1919" 766484 136876.5 2852 766483 136876.5 2851 0.11119510232447394
"1919" 766487 136876.7 2855 766486 136876.7 2854 0.11119510161714974
"1919" 766490 136876.9 2858 766489 136876.9 2857 0.12752941555597483
"1919" 766499 136877.5 2867 766498 136877.5 2866 0.11119510090982554
"1919" 766502 136877.7 2870 766501 136877.7 2869 0.11119510161714974
"1919" 766505 136877.9 2873 766504 136877.9 2872 0.11119510090982554
"1919" 766512 136878.4 2880 766511 136878.4 2879 0.11119510090982554
"1919" 766515 136878.6 2883 766514 136878.6 2882 0.11119510161714974
"1919" 766524 136879.2 2892 766523 136879.2 2891 0.11119510090982554
"1919" 766527 136879.4 2895 766526 136879.4 2894 0.12752939825777979
"1919" 766530 136879.6 2898 766529 136879.6 2897 0.11119510161714974
"1919" 766539 136880.2 2907 766538 136880.2 2906 0.11119510161714974
"1919" 766543 136880.5 2911 766542 136880.5 2910 0.06244513630731429
"1919" 766549 136880.9 2917 766548 136880.9 2916 0.11119510161714974
"1919" 766552 136881.1 2920 766551 136881.1 2919 0.11119510090982554
"1919" 766555 136881.3 2923 766554 136881.3 2922 0.11119510090982554
"1919" 766564 136881.9 2932 766563 136881.9 2931 0.12752938095958766
"1919" 766567 136882.1 2935 766566 136882.1 2934 0.11119510161714974
"1919" 766578 136882.8 2946 766577 136882.8 2945 0.11119510161714974
"1919" 766583 136883.1 2951 766582 136883.1 2950 0.11119510161714974
"1919" 766591 136883.6 2959 766590 136883.6 2958 0.11119510090982554
"1919" 766596 136883.9 2964 766595 136883.9 2963 0.11119510090982554
"1919" 766609 136884.7 2977 766608 136884.7 2976 0.11119510161714974
"1919" 766611 136884.8 2979 766610 136884.8 2978 0.11119510090982554
"1919" 766614 136885.0 2982 766613 136885.0 2981 0.11119510161714974
"1919" 766622 136885.5 2990 766621 136885.5 2989 0.1275293557985862
"1919" 766624 136885.6 2992 766623 136885.6 2991 0.11119510161714974
"1919" 766627 136885.8 2995 766626 136885.8 2994 0.11119510090982554
"1919" 766629 136885.9 2997 766628 136885.9 2996 0.11119510232447394
"1919" 766635 136886.3 3003 766634 136886.3 3002 0.06244505260741443
"1919" 766640 136886.6 3008 766639 136886.6 3007 0.11119510161714974
"1919" 766642 136886.7 3010 766641 136886.7 3009 0.11119510090982554
"1919" 766645 136886.9 3013 766644 136886.9 3012 0.11119510090982554
"1919" 766647 136887.0 3015 766646 136887.0 3014 0.11119510090982554
"1919" 766653 136887.4 3021 766652 136887.4 3020 0.11119510090982554
"1919" 766655 136887.5 3023 766654 136887.5 3022 0.11119510161714974
"1919" 766658 136887.7 3026 766657 136887.7 3025 0.11119510090982554
"1919" 766660 136887.8 3028 766659 136887.8 3027 0.11119510161714974
"1919" 766671 136888.5 3039 766670 136888.5 3038 0.11119510161714974
"1919" 766673 136888.6 3041 766672 136888.6 3040 0.11119510090982554
"1919" 766676 136888.8 3044 766675 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 15742

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 15742 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" 3287588 350.5 28 3287587 350.5 27
"43541" 3287599 811.7 39 3287598 811.7 38
"43541" 3287638 1779.8 78 3287637 1779.8 77
"43541" 3287682 3184.3 122 3287681 3184.3 121
"43541" 3287715 4418.1 155 3287714 4418.1 154
"43541" 3287731 4854.6 171 3287730 4854.6 170
"43541" 3287780 6561.9 220 3287779 6561.9 219
"43541" 3287816 7544.1 256 3287815 7544.1 255
"43541" 3287855 8757.6 295 3287854 8757.6 294
"43541" 3287872 9358.6 312 3287871 9358.6 311
"43541" 3287899 9709.1 339 3287898 9709.1 338
"43541" 3287945 10376.7 385 3287944 10376.7 384
"43541" 3287998 11116.1 438 3287997 11116.1 437
"43541" 3288029 11700.4 469 3288028 11700.4 468
"43541" 3288060 12284.8 500 3288059 12284.8 499
"43541" 3288321 14358.7 761 3288320 14358.7 760
"43541" 3288397 14706.8 837 3288396 14706.8 836
"43541" 3288497 15301.6 937 3288496 15301.6 936
"43541" 3288597 15896.4 1037 3288596 15896.4 1036
"43541" 3288673 16244.5 1113 3288672 16244.5 1112
"43541" 3288871 17133.2 1311 3288870 17133.2 1310
"43541" 3289114 18161.9 1554 3289113 18161.9 1553
"43541" 3289139 18472.3 1579 3289138 18472.3 1578
"43541" 3289189 18976.3 1629 3289188 18976.3 1628
"43541" 3289336 19673.4 1776 3289335 19673.4 1775
"43541" 3289565 21285.9 2005 3289564 21285.9 2004
"43541" 3289641 22756.6 2081 3289640 22756.6 2080
"43541" 3289717 24227.3 2157 3289716 24227.3 2156
"43541" 3289756 24719.6 2196 3289755 24719.6 2195
"43541" 3289773 25292.2 2213 3289772 25292.2 2212
"43541" 3289792 25625.9 2232 3289791 25625.9 2231
"43541" 3289880 26736.7 2320 3289879 26736.7 2319
"43541" 3289967 27236.5 2407 3289966 27236.5 2406
"43541" 3290016 28436.1 2456 3290015 28436.1 2455
"43541" 3290055 28928.5 2495 3290054 28928.5 2494
"43541" 3290106 29639.4 2546 3290105 29639.4 2545
"43541" 3290337 30811.2 2777 3290336 30811.2 2776
"43541" 3290413 31159.3 2853 3290412 31159.3 2852
"43541" 3290513 31754.1 2953 3290512 31754.1 2952
"43541" 3290613 32348.9 3053 3290612 32348.9 3052
"43541" 3290689 32697.0 3129 3290688 32697.0 3128
"43541" 3290887 33585.6 3327 3290886 33585.6 3326
"43541" 3291171 35228.5 3611 3291170 35228.5 3610
"43541" 3291224 35967.9 3664 3291223 35967.9 3663
"43541" 3291255 36552.2 3695 3291254 36552.2 3694
"43541" 3291286 37136.6 3726 3291285 37136.6 3725
"43531" 2248385 1036.1 44 2248384 1036.1 43
"43531" 2248414 1669.1 73 2248413 1669.1 72
"43531" 2248441 2285.2 100 2248440 2285.2 99
"43531" 2248482 4091.8 141 2248481 4091.8 140
expired_calendar WARNING 76

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 76 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3426 "73341"
3372 "1256"
3368 "1271"
13784 "1294"
23951 "24601"
2 "1339"
23943 "12709"
10312 "1379"
21203 "61661"
9 "1461"
23937 "1954"
20550 "20239"
23946 "20237"
23945 "17222"
17233 "17343"
45 "76307"
20584 "76308"
46 "76309"
23947 "13033"
3381 "13105"
17267 "76816"
15652 "76868"
22326 "76858"
12 "2009"
14 "2022"
13802 "2066"
10325 "2111"
17224 "2123"
13804 "2137"
13842 "62494"
6805 "2158"
6808 "2175"
6810 "2173"
20535 "2206"
6811 "2205"
13806 "2218"
17222 "2217"
20538 "2216"
17218 "2213"
23936 "2224"
10328 "2285"
13819 "13743"
6815 "2499"
18609 "72148"
6812 "2685"
13810 "2737"
17225 "2766"
17238 "47502"
20542 "2814"
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.
13779 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 169469 17 "99227" "Krekenava" "14:03:00" 169470 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.
9228 "2699" "7597178"
9286 "2699" "7597185"
9295 "2699" "7597205"
9306 "2699" "7597145"
9336 "2699" "7597131"
9354 "2699" "7597163"
9578 "2699" "7597167"
9582 "2699" "7597134"
9591 "2699" "7597206"
9597 "2699" "7597143"
9608 "2699" "7597190"
9645 "2699" "7597204"
9665 "2699" "7597212"
9815 "2699" "7597161"
9836 "2699" "7597151"
9892 "2699" "7597142"
9921 "2699" "7597207"
10050 "2699" "7597197"
10108 "2699" "7597199"
10144 "2699" "7597200"
10168 "2699" "7597021"
10461 "2699" "7597135"
10466 "2699" "7597165"
10491 "2699" "7597198"
10569 "2699" "7597184"
10596 "2699" "7597211"
10634 "2699" "7597208"
10724 "2699" "7597160"
10886 "2699" "7597189"
10904 "2699" "7597195"
10931 "2699" "7597171"
11237 "2699" "7597136"
11312 "2699" "7597180"
11390 "2699" "7597141"
11421 "2699" "7597182"
11500 "2699" "7597187"
11541 "2699" "7597156"
11566 "2699" "7597209"
11612 "2699" "7597192"
11714 "2699" "7597126"
11751 "2699" "7597138"
12037 "2699" "7597149"
12257 "2699" "7597193"
12267 "2699" "7597175"
12529 "2699" "7597129"
12540 "2699" "7597153"
12671 "2699" "7597159"
12734 "2699" "7597158"
12812 "2699" "7597173"
12883 "2699" "7597174"
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 306

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 306 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\"" 53
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 129
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 179
"routes.txt" "route_short_name" "3_VLP" 180
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 181
"routes.txt" "route_long_name" "JONAVA-KULVA" 182
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 183
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 184
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 198
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 199
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 279
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 333
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 335
"routes.txt" "route_short_name" "40-DT" 394
"routes.txt" "route_long_name" "JONAVA-RUKLA" 396
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 397
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 399
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 400
"routes.txt" "route_short_name" "5_VLP" 401
"routes.txt" "route_short_name" "94AT" 492
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 595
"routes.txt" "route_short_name" "2_VLP" 596
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 677
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 700
"routes.txt" "route_short_name" "94-DC" 739
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 744
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 789
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 790
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 791
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 806
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 866
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 977
"routes.txt" "route_short_name" "4_VLP" 979
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 980
"routes.txt" "route_short_name" "70AC" 991
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1126
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1181
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1189
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 1191
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1194
"routes.txt" "route_short_name" "1A_VLP" 1195
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1260
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1261
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1294
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1323
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1326
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1337
"routes.txt" "route_short_name" "2A_VLP" 1395
"routes.txt" "route_short_name" "50AB" 1401
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1509
stop_too_far_from_shape WARNING 48

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.

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.
10662 "3636" "45756" 2742 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
10003 "3651" "45771" 2771 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13279 "3653" "45773" 2772 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9983 "43544" "8124133" 237818 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
10923 "43548" "8124139" 237856 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
10688 "26974" "7317016" 41904 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
10688 "26974" "7317016" 41905 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
10688 "26974" "7317016" 41920 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
11549 "18654" "3218451" 28052 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
9660 "32206" "7476587" 53010 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
9660 "32206" "7476587" 53011 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
9660 "32206" "7476587" 53012 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
9660 "32206" "7476587" 53015 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
9660 "32206" "7476587" 53020 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
13106 "3899" "46086" 2880 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12783 "3014" "43694" 1969 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
16707 "29420" "7429613" 48065 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9619 "4529" "46899" 3816 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17149 "4527" "47691" 5330 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12386 "4528" "47692" 5331 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11573 "14622" "7150733" 40786 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
10190 "2821" "45017" 2666 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9476 "29615" "7432118" 48473 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
17058 "29616" "7432119" 48521 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
14403 "21886" "60_A2-02-1-241209-ba-2100" 75187 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
3052 "21885" "60_A4-01-6-241028-ab-2150" 452383 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
25192 "21887" "60_A2-01-7-060404-ab3-1430" 453486 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
25189 "21891" "60_A2-01-6-060404-ab2-0740" 451592 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3037 "21865" "60_A2-01-7-060404-b3a-0920" 451536 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
4261 "21872" "60_A2-01-6-060404-b2a-1520" 451827 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
13552 "3339" "46943" 3817 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11384 "4710" "47248" 4536 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
15936 "4711" "47250" 4549 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
11684 "11705" "747606" 18218 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9218 "6511" "54508" 10540 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
10605 "6509" "54501" 10474 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
13456 "6513" "54509" 10552 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
9403 "29093" "7413977" 45685 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
12193 "29092" "7413975" 45641 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
10507 "5232" "48167" 5749 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
10209 "44681" "8136900" 249685 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
11613 "3514" "45563" 2689 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10969 "3537" "45591" 2714 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10210 "17131" "2515701" 25391 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
12466 "3574" "45644" 2715 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13357 "3617" "45754" 2741 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
11529 "15331" "2211799" 22318 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
11446 "15330" "2211797" 22305 "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.
12919 "3645" "57657" 14535 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14534 "12152" "Jonaičiai" [55.34641499999999,21.570023]
10471 "3667" "57730" 14674 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14673 "13926" "Jonaičiai" [55.346103,21.568929]
13516 "3714" "57735" 14732 "13926" "Jonaičiai" [55.346103,21.568929] 14731 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
12730 "13808" "1228372" 21002 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21001 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
17343 "26489" "7231018" 41364 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 41363 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
17543 "35668" "7652364" 64007 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 64006 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
11047 "28435" "7339430" 43263 "64819" "Suostas" [56.32837413018391,24.713657886432735] 43262 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
16453 "28434" "7339429" 43239 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 43238 "64820" "Suostas" [56.32837775901334,24.713656830174433]
10000 "6591" "57635" 14195 "13926" "Jonaičiai" [55.346103,21.568929] 14194 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
10683 "3554" "57643" 14339 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14338 "12152" "Jonaičiai" [55.34641499999999,21.570023]
9475 "29102" "7413991" 45765 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 45764 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
16578 "40377" "8016002" 103268 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 103267 "97223" "Tarvydai I" [55.328604,21.56423]
13112 "40378" "8016003" 103277 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 103276 "97223" "Tarvydai I" [55.328604,21.56423]
10918 "5353" "57622" 14040 "13926" "Jonaičiai" [55.346103,21.568929] 14039 "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