GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-13T06:08:53+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: 39
  • Blocks: 0
  • Routes: 1327
  • Shapes: 3531
  • Stops: 13471
  • Trips: 22434

Specification Compliance report

116360 notices reported (0 errors, 116327 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`.
219 "18329" 246 "6209" "M1" "Alytus - Geniai" 3 "48"
724 "16052" 840 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
419 "3645" 1235 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4148

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 4148 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"3647" 506181 29882.7 878 506180 29882.7 877 0.12791084993239907
"2328" 415079 35929.8 642 415078 35929.8 641 0.11119510090982554
"3659" 501231 49657.5 1177 501230 49657.5 1176 0.12791084993239907
"2369" 400419 63265.5 1261 400418 63265.5 1260 0.11119510090982554
"2385" 609989 69168.3 1771 609988 69168.3 1770 0.06441976500794575
"28733" 2277962 71509.2 1569 2277961 71509.2 1568 0.06441976500794575
"1919" 775505 136875.8 2842 775504 136875.8 2841 0.12752942403551987
"1919" 775508 136876.0 2845 775507 136876.0 2844 0.11119510090982554
"1919" 775515 136876.5 2852 775514 136876.5 2851 0.11119510232447394
"1919" 775518 136876.7 2855 775517 136876.7 2854 0.11119510161714974
"1919" 775521 136876.9 2858 775520 136876.9 2857 0.12752941555597483
"1919" 775530 136877.5 2867 775529 136877.5 2866 0.11119510090982554
"1919" 775533 136877.7 2870 775532 136877.7 2869 0.11119510161714974
"1919" 775536 136877.9 2873 775535 136877.9 2872 0.11119510090982554
"1919" 775543 136878.4 2880 775542 136878.4 2879 0.11119510090982554
"1919" 775546 136878.6 2883 775545 136878.6 2882 0.11119510161714974
"1919" 775555 136879.2 2892 775554 136879.2 2891 0.11119510090982554
"1919" 775558 136879.4 2895 775557 136879.4 2894 0.12752939825777979
"1919" 775561 136879.6 2898 775560 136879.6 2897 0.11119510161714974
"1919" 775570 136880.2 2907 775569 136880.2 2906 0.11119510161714974
"1919" 775574 136880.5 2911 775573 136880.5 2910 0.06244513630731429
"1919" 775580 136880.9 2917 775579 136880.9 2916 0.11119510161714974
"1919" 775583 136881.1 2920 775582 136881.1 2919 0.11119510090982554
"1919" 775586 136881.3 2923 775585 136881.3 2922 0.11119510090982554
"1919" 775595 136881.9 2932 775594 136881.9 2931 0.12752938095958766
"1919" 775598 136882.1 2935 775597 136882.1 2934 0.11119510161714974
"1919" 775609 136882.8 2946 775608 136882.8 2945 0.11119510161714974
"1919" 775614 136883.1 2951 775613 136883.1 2950 0.11119510161714974
"1919" 775622 136883.6 2959 775621 136883.6 2958 0.11119510090982554
"1919" 775627 136883.9 2964 775626 136883.9 2963 0.11119510090982554
"1919" 775640 136884.7 2977 775639 136884.7 2976 0.11119510161714974
"1919" 775642 136884.8 2979 775641 136884.8 2978 0.11119510090982554
"1919" 775645 136885.0 2982 775644 136885.0 2981 0.11119510161714974
"1919" 775653 136885.5 2990 775652 136885.5 2989 0.1275293557985862
"1919" 775655 136885.6 2992 775654 136885.6 2991 0.11119510161714974
"1919" 775658 136885.8 2995 775657 136885.8 2994 0.11119510090982554
"1919" 775660 136885.9 2997 775659 136885.9 2996 0.11119510232447394
"1919" 775666 136886.3 3003 775665 136886.3 3002 0.06244505260741443
"1919" 775671 136886.6 3008 775670 136886.6 3007 0.11119510161714974
"1919" 775673 136886.7 3010 775672 136886.7 3009 0.11119510090982554
"1919" 775676 136886.9 3013 775675 136886.9 3012 0.11119510090982554
"1919" 775678 136887.0 3015 775677 136887.0 3014 0.11119510090982554
"1919" 775684 136887.4 3021 775683 136887.4 3020 0.11119510090982554
"1919" 775686 136887.5 3023 775685 136887.5 3022 0.11119510161714974
"1919" 775689 136887.7 3026 775688 136887.7 3025 0.11119510090982554
"1919" 775691 136887.8 3028 775690 136887.8 3027 0.11119510161714974
"1919" 775702 136888.5 3039 775701 136888.5 3038 0.11119510161714974
"1919" 775704 136888.6 3041 775703 136888.6 3040 0.11119510090982554
"1919" 775707 136888.8 3044 775706 136888.8 3043 0.11119510090982554
"1919" 775716 136889.4 3053 775715 136889.4 3052 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 10944

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 10944 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" 2962111 350.5 28 2962110 350.5 27
"43541" 2962122 811.7 39 2962121 811.7 38
"43541" 2962161 1779.8 78 2962160 1779.8 77
"43541" 2962205 3184.3 122 2962204 3184.3 121
"43541" 2962238 4418.1 155 2962237 4418.1 154
"43541" 2962254 4854.6 171 2962253 4854.6 170
"43541" 2962303 6561.9 220 2962302 6561.9 219
"43541" 2962339 7544.1 256 2962338 7544.1 255
"43541" 2962378 8757.6 295 2962377 8757.6 294
"43541" 2962395 9358.6 312 2962394 9358.6 311
"43541" 2962422 9709.1 339 2962421 9709.1 338
"43541" 2962468 10376.7 385 2962467 10376.7 384
"43541" 2962521 11116.1 438 2962520 11116.1 437
"43541" 2962552 11700.4 469 2962551 11700.4 468
"43541" 2962583 12284.8 500 2962582 12284.8 499
"43541" 2962844 14358.7 761 2962843 14358.7 760
"43541" 2962920 14706.8 837 2962919 14706.8 836
"43541" 2963020 15301.6 937 2963019 15301.6 936
"43541" 2963120 15896.4 1037 2963119 15896.4 1036
"43541" 2963196 16244.5 1113 2963195 16244.5 1112
"43541" 2963394 17133.2 1311 2963393 17133.2 1310
"43541" 2963637 18161.9 1554 2963636 18161.9 1553
"43541" 2963662 18472.3 1579 2963661 18472.3 1578
"43541" 2963712 18976.3 1629 2963711 18976.3 1628
"43541" 2963859 19673.4 1776 2963858 19673.4 1775
"43541" 2964088 21285.9 2005 2964087 21285.9 2004
"43541" 2964164 22756.6 2081 2964163 22756.6 2080
"43541" 2964240 24227.3 2157 2964239 24227.3 2156
"43541" 2964279 24719.6 2196 2964278 24719.6 2195
"43541" 2964296 25292.2 2213 2964295 25292.2 2212
"43541" 2964315 25625.9 2232 2964314 25625.9 2231
"43541" 2964403 26736.7 2320 2964402 26736.7 2319
"43541" 2964490 27236.5 2407 2964489 27236.5 2406
"43541" 2964539 28436.1 2456 2964538 28436.1 2455
"43541" 2964578 28928.5 2495 2964577 28928.5 2494
"43541" 2964629 29639.4 2546 2964628 29639.4 2545
"43541" 2964860 30811.2 2777 2964859 30811.2 2776
"43541" 2964936 31159.3 2853 2964935 31159.3 2852
"43541" 2965036 31754.1 2953 2965035 31754.1 2952
"43541" 2965136 32348.9 3053 2965135 32348.9 3052
"43541" 2965212 32697.0 3129 2965211 32697.0 3128
"43541" 2965410 33585.6 3327 2965409 33585.6 3326
"43541" 2965694 35228.5 3611 2965693 35228.5 3610
"43541" 2965747 35967.9 3664 2965746 35967.9 3663
"43541" 2965778 36552.2 3695 2965777 36552.2 3694
"43541" 2965809 37136.6 3726 2965808 37136.6 3725
"43537" 3124725 310.3 26 3124724 310.3 25
"43537" 3124738 811.7 39 3124737 811.7 38
"43537" 3124777 1779.8 78 3124776 1779.8 77
"43537" 3124821 3184.3 122 3124820 3184.3 121
expired_calendar WARNING 66

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 66 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
10477 "17222"
9031 "31530"
6 "1076"
1552 "73341"
7502 "17343"
2962 "2499"
23 "43774"
1495 "1256"
1491 "1271"
6010 "1294"
10478 "24602"
9043 "48594"
2 "1339"
2959 "2685"
10475 "12709"
4497 "1379"
6034 "2737"
7494 "2766"
1510 "60347"
8 "1461"
7506 "47502"
10466 "678"
9026 "2814"
6038 "2849"
6039 "2852"
7496 "2850"
4513 "2980"
7495 "2975"
2960 "2974"
9025 "2972"
6009 "973"
71 "76307"
1551 "76308"
72 "76309"
7519 "60928"
7516 "60959"
6048 "47985"
10471 "1954"
2981 "60890"
10473 "3000"
2961 "3012"
9033 "20239"
10479 "20237"
10480 "13033"
1501 "13105"
11 "2009"
13 "2022"
7511 "48071"
25 "48073"
6026 "2066"
fast_travel_between_consecutive_stops WARNING 2

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
7190 "8093432" "17272" 196.9887428340989 3.283145713901648 242506 17 "99227" "Krekenava" "14:03:00" 242507 18 "99243" "Rabikiai" "14:03:00"
7416 "8091136" "17220" 196.9887428340989 3.283145713901648 223741 17 "98468" "Krekenava" "14:03:00" 223742 18 "98476" "Rabikiai" "14:03:00"
missing_bike_allowance WARNING 118

missing_bike_allowance

Ferry trips should include bike allowance information.

All ferry trips should have a valid value in the bikes_allowed field in trips.txt.

You can see more about this notice here.

Only the first 50 of 118 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
1705 "2699" "7597169"
3777 "2699" "7597174"
3778 "2699" "7597180"
3781 "2699" "7597181"
3782 "2699" "7597175"
3783 "2699" "7597176"
3784 "2699" "7597177"
3785 "2699" "7597178"
3821 "2699" "7597182"
3822 "2699" "7597183"
3823 "2699" "7597184"
3824 "2699" "7597185"
3836 "2699" "7597186"
3837 "2699" "7597187"
3838 "2699" "7597188"
3841 "2699" "7597189"
3868 "2699" "7597190"
3869 "2699" "7597191"
3870 "2699" "7597192"
3871 "2699" "7597193"
3872 "2699" "7597194"
3873 "2699" "7597195"
3875 "2699" "7597196"
3876 "2699" "7597197"
3877 "2699" "7597198"
4126 "2699" "7597021"
13148 "2699" "7597148"
13149 "2699" "7597149"
13153 "2699" "7597207"
13154 "2699" "7597208"
13205 "2699" "7597209"
13206 "2699" "7597210"
13207 "2699" "7597211"
13208 "2699" "7597212"
13238 "2699" "7597150"
13239 "2699" "7597151"
13240 "2699" "7597153"
13241 "2699" "7597154"
13357 "2699" "7597125"
13359 "2699" "7597126"
13360 "2699" "7597127"
13459 "2699" "7597155"
13460 "2699" "7597156"
13461 "2699" "7597157"
13462 "2699" "7597158"
13463 "2699" "7597159"
13464 "2699" "7597160"
13465 "2699" "7597161"
13612 "2699" "7597170"
13613 "2699" "7597171"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
missing_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "41979" 1
3 "41979" 2
4 "41979" 3
5 "41979" 4
6 "41980" 1
7 "41980" 2
8 "41980" 3
9 "41980" 4
10 "41981" 1
11 "41981" 2
12 "41981" 3
13 "41981" 4
14 "41982" 1
15 "41982" 2
16 "41982" 3
17 "41982" 4
18 "42101" 1
19 "42101" 2
20 "42101" 4
21 "42101" 5
22 "42101" 6
23 "42103" 1
24 "42103" 2
25 "42103" 4
26 "42103" 5
27 "42103" 6
28 "42105" 1
29 "42105" 2
30 "42105" 4
31 "42105" 5
32 "42203" 1
33 "42203" 2
34 "42203" 3
35 "42203" 4
36 "42203" 5
37 "42203" 6
38 "42203" 7
39 "42203" 8
40 "42203" 9
41 "42203" 10
42 "42203" 11
43 "42203" 12
44 "42203" 13
45 "42203" 14
46 "42203" 15
47 "42203" 16
48 "42203" 17
49 "42203" 18
50 "42203" 19
51 "42206" 1
mixed_case_recommended_field WARNING 972

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 972 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\"" 39
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 270
"routes.txt" "route_short_name" "1A_VLP" 275
"routes.txt" "route_short_name" "518_VLP" 286
"routes.txt" "route_short_name" "523_VLP" 293
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 324
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 326
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 327
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 351
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 406
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 407
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 408
"routes.txt" "route_short_name" "2_VLP" 443
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 491
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 492
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 578
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 588
"routes.txt" "route_long_name" "JONAVA-KULVA" 591
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 592
"routes.txt" "route_long_name" "JONAVA-RUKLA" 672
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 686
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 807
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 866
"routes.txt" "route_short_name" "2A_VLP" 924
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 960
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 962
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1059
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1062
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1071
"routes.txt" "route_short_name" "1_VLP" 1072
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1123
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 1128
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1129
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1132
"routes.txt" "route_short_name" "50AB" 1145
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1159
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1197
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1203
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1205
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1211
"routes.txt" "route_short_name" "5_VLP" 1251
"routes.txt" "route_short_name" "4_VLP" 1253
"routes.txt" "route_short_name" "3_VLP" 1257
"routes.txt" "route_short_name" "787_VLP" 1259
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1287
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1300
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1309
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1310
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1316
"stops.txt" "stop_name" "2-asis fortas" 187
stop_too_far_from_shape WARNING 60

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

Only the first 50 of 60 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
8634 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8635 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12930 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
4473 "43544" "8124133" 394727 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
4478 "43548" "8124139" 394765 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
3766 "26974" "7317010" 36850 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
3766 "26974" "7317010" 36851 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
3766 "26974" "7317010" 36866 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
7093 "29329" "7418310" 44284 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
2962 "29328" "7418309" 44261 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
16594 "37814" "7870743" 74154 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
227 "6003" "52856" 6188 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
196 "6005" "52858" 6197 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
209 "6004" "52857" 6193 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
142 "6007" "52859" 6204 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
214 "6008" "52860" 6209 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
15478 "18654" "3218451" 22338 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
21860 "32206" "7476583" 50179 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
21860 "32206" "7476583" 50180 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
21860 "32206" "7476583" 50181 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
21860 "32206" "7476583" 50184 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
21860 "32206" "7476583" 50189 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
12974 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8603 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
8738 "37872" "7870674" 72758 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
6406 "29420" "7429613" 44821 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8622 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8631 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8595 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3669 "14622" "7150732" 35924 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
8613 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14899 "29615" "7432118" 45309 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
8285 "29616" "7432119" 45357 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
2512 "21886" "8128860" 397044 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
356 "21885" "7846693" 65773 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
19087 "21887" "8128811" 396312 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2505 "21891" "8128924" 398051 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2447 "21865" "8128916" 397898 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
2148 "21872" "8128779" 395767 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
8925 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14619 "45952" "8148145" 429114 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
17043 "11705" "747606" 14714 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
237 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
74 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
239 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16296 "29093" "7413976" 42087 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
16295 "29092" "7413975" 42057 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
533 "5232" "56646" 8900 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
7154 "27242" "7324111" 38518 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
17859 "27240" "7322650" 38189 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
stops_match_shape_out_of_order WARNING 13

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
434 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
407 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
250 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
12867 "13808" "1228372" 16445 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16444 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
16712 "17480" "2657524" 21021 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21020 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
2797 "28435" "7339430" 39607 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39606 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
2795 "28434" "7339429" 39583 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39582 "64820" "Suostas" [56.32837775901334,24.713656830174433]
404 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
244 "3554" "57640" 10653 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10652 "12152" "Jonaičiai" [55.34641499999999,21.570023]
18450 "29102" "7413991" 42181 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42180 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
3776 "40377" "8016002" 105895 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 105894 "97223" "Tarvydai I" [55.328604,21.56423]
19448 "40378" "8016003" 105904 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 105903 "97223" "Tarvydai I" [55.328604,21.56423]
506 "5353" "57618" 10403 "13926" "Jonaičiai" [55.346103,21.568929] 10402 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
unknown_column INFO 33

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"attributions.txt" "id" 3
"fare_attributes.txt" "journey_duration" 8
"routes.txt" "eligibility_restricted" 11
"routes.txt" "bikes_allowed" 12
"routes.txt" "regional_fare_card" 14
"stops.txt" "stop_direction" 12
"stops.txt" "vehicle_type" 14
"stops.txt" "mta_stop_id" 17
"stops.txt" "regional_fare_card" 18
"stop_times.txt" "start_service_area_id" 1
"stop_times.txt" "end_service_area_id" 2
"stop_times.txt" "note_id" 5
"stop_times.txt" "to_stop_sequence" 16
"stop_times.txt" "route_short_name" 18
"stop_times.txt" "start_service_area_radius" 24
"stop_times.txt" "end_service_area_radius" 25
"stop_times.txt" "fare_period_id" 26
"stop_times.txt" "departure_buffer" 27
"stop_times.txt" "track" 28
"stop_times.txt" "mean_duration_factor" 29
"stop_times.txt" "mean_duration_offset" 30
"stop_times.txt" "safe_duration_factor" 31
"stop_times.txt" "safe_duration_offset" 32
"stop_times.txt" "free_running_flag" 33
"trips.txt" "note_id" 2
"trips.txt" "mean_duration_factor" 12
"trips.txt" "mean_duration_offset" 13
"trips.txt" "safe_duration_factor" 14
"trips.txt" "safe_duration_offset" 15
"trips.txt" "cars_allowed" 16
"trips.txt" "peak_offpeak" 17
"trips.txt" "mta_trip_id" 18
"trips.txt" "boarding_type" 19