GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-31T06:07:32+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: 1238
  • Shapes: 3137
  • Stops: 12294
  • Trips: 20910

Specification Compliance report

112492 notices reported (0 errors, 112459 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`.
177 "6209" 206 "18329" "M1" "Alytus - Geniai" 3 "48"
646 "16052" 864 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
397 "3645" 1077 "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" 499156 29882.7 878 499155 29882.7 877 0.12791084993239907
"2328" 408054 35929.8 642 408053 35929.8 641 0.11119510090982554
"3659" 494206 49657.5 1177 494205 49657.5 1176 0.12791084993239907
"2369" 393932 63265.5 1261 393931 63265.5 1260 0.11119510090982554
"2385" 602964 69168.3 1771 602963 69168.3 1770 0.06441976500794575
"28733" 2262713 71509.2 1569 2262712 71509.2 1568 0.06441976500794575
"1919" 768333 136875.8 2842 768332 136875.8 2841 0.12752942403551987
"1919" 768336 136876.0 2845 768335 136876.0 2844 0.11119510090982554
"1919" 768343 136876.5 2852 768342 136876.5 2851 0.11119510232447394
"1919" 768346 136876.7 2855 768345 136876.7 2854 0.11119510161714974
"1919" 768349 136876.9 2858 768348 136876.9 2857 0.12752941555597483
"1919" 768358 136877.5 2867 768357 136877.5 2866 0.11119510090982554
"1919" 768361 136877.7 2870 768360 136877.7 2869 0.11119510161714974
"1919" 768364 136877.9 2873 768363 136877.9 2872 0.11119510090982554
"1919" 768371 136878.4 2880 768370 136878.4 2879 0.11119510090982554
"1919" 768374 136878.6 2883 768373 136878.6 2882 0.11119510161714974
"1919" 768383 136879.2 2892 768382 136879.2 2891 0.11119510090982554
"1919" 768386 136879.4 2895 768385 136879.4 2894 0.12752939825777979
"1919" 768389 136879.6 2898 768388 136879.6 2897 0.11119510161714974
"1919" 768398 136880.2 2907 768397 136880.2 2906 0.11119510161714974
"1919" 768402 136880.5 2911 768401 136880.5 2910 0.06244513630731429
"1919" 768408 136880.9 2917 768407 136880.9 2916 0.11119510161714974
"1919" 768411 136881.1 2920 768410 136881.1 2919 0.11119510090982554
"1919" 768414 136881.3 2923 768413 136881.3 2922 0.11119510090982554
"1919" 768423 136881.9 2932 768422 136881.9 2931 0.12752938095958766
"1919" 768426 136882.1 2935 768425 136882.1 2934 0.11119510161714974
"1919" 768437 136882.8 2946 768436 136882.8 2945 0.11119510161714974
"1919" 768442 136883.1 2951 768441 136883.1 2950 0.11119510161714974
"1919" 768450 136883.6 2959 768449 136883.6 2958 0.11119510090982554
"1919" 768455 136883.9 2964 768454 136883.9 2963 0.11119510090982554
"1919" 768468 136884.7 2977 768467 136884.7 2976 0.11119510161714974
"1919" 768470 136884.8 2979 768469 136884.8 2978 0.11119510090982554
"1919" 768473 136885.0 2982 768472 136885.0 2981 0.11119510161714974
"1919" 768481 136885.5 2990 768480 136885.5 2989 0.1275293557985862
"1919" 768483 136885.6 2992 768482 136885.6 2991 0.11119510161714974
"1919" 768486 136885.8 2995 768485 136885.8 2994 0.11119510090982554
"1919" 768488 136885.9 2997 768487 136885.9 2996 0.11119510232447394
"1919" 768494 136886.3 3003 768493 136886.3 3002 0.06244505260741443
"1919" 768499 136886.6 3008 768498 136886.6 3007 0.11119510161714974
"1919" 768501 136886.7 3010 768500 136886.7 3009 0.11119510090982554
"1919" 768504 136886.9 3013 768503 136886.9 3012 0.11119510090982554
"1919" 768506 136887.0 3015 768505 136887.0 3014 0.11119510090982554
"1919" 768512 136887.4 3021 768511 136887.4 3020 0.11119510090982554
"1919" 768514 136887.5 3023 768513 136887.5 3022 0.11119510161714974
"1919" 768517 136887.7 3026 768516 136887.7 3025 0.11119510090982554
"1919" 768519 136887.8 3028 768518 136887.8 3027 0.11119510161714974
"1919" 768530 136888.5 3039 768529 136888.5 3038 0.11119510161714974
"1919" 768532 136888.6 3041 768531 136888.6 3040 0.11119510090982554
"1919" 768535 136888.8 3044 768534 136888.8 3043 0.11119510090982554
"1919" 768544 136889.4 3053 768543 136889.4 3052 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 7160

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 7160 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" 2944462 350.5 28 2944461 350.5 27
"43541" 2944473 811.7 39 2944472 811.7 38
"43541" 2944512 1779.8 78 2944511 1779.8 77
"43541" 2944556 3184.3 122 2944555 3184.3 121
"43541" 2944589 4418.1 155 2944588 4418.1 154
"43541" 2944605 4854.6 171 2944604 4854.6 170
"43541" 2944654 6561.9 220 2944653 6561.9 219
"43541" 2944690 7544.1 256 2944689 7544.1 255
"43541" 2944729 8757.6 295 2944728 8757.6 294
"43541" 2944746 9358.6 312 2944745 9358.6 311
"43541" 2944773 9709.1 339 2944772 9709.1 338
"43541" 2944819 10376.7 385 2944818 10376.7 384
"43541" 2944872 11116.1 438 2944871 11116.1 437
"43541" 2944903 11700.4 469 2944902 11700.4 468
"43541" 2944934 12284.8 500 2944933 12284.8 499
"43541" 2945195 14358.7 761 2945194 14358.7 760
"43541" 2945271 14706.8 837 2945270 14706.8 836
"43541" 2945371 15301.6 937 2945370 15301.6 936
"43541" 2945471 15896.4 1037 2945470 15896.4 1036
"43541" 2945547 16244.5 1113 2945546 16244.5 1112
"43541" 2945745 17133.2 1311 2945744 17133.2 1310
"43541" 2945988 18161.9 1554 2945987 18161.9 1553
"43541" 2946013 18472.3 1579 2946012 18472.3 1578
"43541" 2946063 18976.3 1629 2946062 18976.3 1628
"43541" 2946210 19673.4 1776 2946209 19673.4 1775
"43541" 2946439 21285.9 2005 2946438 21285.9 2004
"43541" 2946515 22756.6 2081 2946514 22756.6 2080
"43541" 2946591 24227.3 2157 2946590 24227.3 2156
"43541" 2946630 24719.6 2196 2946629 24719.6 2195
"43541" 2946647 25292.2 2213 2946646 25292.2 2212
"43541" 2946666 25625.9 2232 2946665 25625.9 2231
"43541" 2946754 26736.7 2320 2946753 26736.7 2319
"43541" 2946841 27236.5 2407 2946840 27236.5 2406
"43541" 2946890 28436.1 2456 2946889 28436.1 2455
"43541" 2946929 28928.5 2495 2946928 28928.5 2494
"43541" 2946980 29639.4 2546 2946979 29639.4 2545
"43541" 2947211 30811.2 2777 2947210 30811.2 2776
"43541" 2947287 31159.3 2853 2947286 31159.3 2852
"43541" 2947387 31754.1 2953 2947386 31754.1 2952
"43541" 2947487 32348.9 3053 2947486 32348.9 3052
"43541" 2947563 32697.0 3129 2947562 32697.0 3128
"43541" 2947761 33585.6 3327 2947760 33585.6 3326
"43541" 2948045 35228.5 3611 2948044 35228.5 3610
"43541" 2948098 35967.9 3664 2948097 35967.9 3663
"43541" 2948129 36552.2 3695 2948128 36552.2 3694
"43541" 2948160 37136.6 3726 2948159 37136.6 3725
"43537" 3063114 310.3 26 3063113 310.3 25
"43537" 3063127 811.7 39 3063126 811.7 38
"43537" 3063166 1779.8 78 3063165 1779.8 77
"43537" 3063210 3184.3 122 3063209 3184.3 121
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.
7682 "17222"
6604 "31530"
6 "1076"
1155 "73341"
5503 "17343"
2201 "2499"
23 "43774"
1102 "1256"
1098 "1271"
4418 "1294"
7683 "24602"
2 "1339"
2198 "2685"
7680 "12709"
3315 "1379"
4442 "2737"
5495 "2766"
1117 "60347"
8 "1461"
5508 "47502"
7671 "678"
6599 "2814"
4446 "2849"
4447 "2852"
5497 "2850"
3330 "2980"
5496 "2975"
2199 "2974"
6598 "2972"
4417 "973"
63 "76307"
6655 "76308"
64 "76309"
5524 "60928"
5519 "60959"
4457 "47985"
7676 "1954"
2219 "60890"
7678 "3000"
2200 "3012"
6606 "20239"
7684 "20237"
7685 "13033"
1108 "13105"
5563 "76816"
6665 "76873"
11 "2009"
13 "2022"
5513 "48071"
25 "48073"
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.
10639 "8093432" "17272" 196.9887428340989 3.283145713901648 224709 17 "99227" "Krekenava" "14:03:00" 224710 18 "99243" "Rabikiai" "14:03:00"
10836 "8091136" "17220" 196.9887428340989 3.283145713901648 206399 17 "98468" "Krekenava" "14:03:00" 206400 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.
337 "2699" "7597125"
339 "2699" "7597126"
340 "2699" "7597127"
451 "2699" "7597150"
452 "2699" "7597151"
453 "2699" "7597153"
454 "2699" "7597154"
461 "2699" "7597155"
462 "2699" "7597156"
463 "2699" "7597157"
464 "2699" "7597158"
465 "2699" "7597159"
466 "2699" "7597160"
467 "2699" "7597161"
479 "2699" "7597162"
480 "2699" "7597163"
487 "2699" "7597164"
489 "2699" "7597165"
490 "2699" "7597166"
491 "2699" "7597167"
3385 "2699" "7597169"
8874 "2699" "7597145"
8875 "2699" "7597146"
8884 "2699" "7597182"
8885 "2699" "7597183"
8886 "2699" "7597184"
8887 "2699" "7597185"
8934 "2699" "7597186"
8935 "2699" "7597187"
8936 "2699" "7597188"
8939 "2699" "7597189"
9005 "2699" "7597147"
9020 "2699" "7597190"
9021 "2699" "7597191"
9022 "2699" "7597192"
9023 "2699" "7597193"
9024 "2699" "7597194"
9025 "2699" "7597195"
9027 "2699" "7597196"
9028 "2699" "7597197"
9029 "2699" "7597198"
9063 "2699" "7597148"
9064 "2699" "7597149"
9075 "2699" "7597199"
9077 "2699" "7597200"
9078 "2699" "7597201"
9079 "2699" "7597202"
9151 "2699" "7597203"
9153 "2699" "7597204"
9220 "2699" "7597205"
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 889

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 889 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_short_name" "1A_VLP" 183
"routes.txt" "route_short_name" "523_VLP" 185
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 226
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 227
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 228
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 231
"routes.txt" "route_short_name" "518_VLP" 281
"routes.txt" "route_short_name" "40-DT" 318
"routes.txt" "route_short_name" "2_VLP" 348
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 372
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 373
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 374
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 377
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 393
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 394
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 527
"routes.txt" "route_long_name" "JONAVA-KULVA" 538
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 540
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 542
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 685
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 686
"routes.txt" "route_long_name" "JONAVA-RUKLA" 687
"routes.txt" "route_short_name" "2A_VLP" 800
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 824
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 833
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 840
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 921
"routes.txt" "route_short_name" "1_VLP" 949
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 974
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 985
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 986
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 988
"routes.txt" "route_short_name" "50AB" 1015
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1021
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1035
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1099
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1106
"routes.txt" "route_short_name" "4_VLP" 1110
"routes.txt" "route_short_name" "787_VLP" 1112
"routes.txt" "route_short_name" "5_VLP" 1113
"routes.txt" "route_short_name" "3_VLP" 1115
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1132
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1134
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1139
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1153
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1155
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1163
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1177
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1206
stop_too_far_from_shape WARNING 59

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 59 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.
17446 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17447 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17075 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19044 "43544" "8124133" 371348 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
19049 "43548" "8124139" 371386 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
10006 "26974" "7317010" 36340 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
10006 "26974" "7317010" 36341 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
10006 "26974" "7317010" 36356 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
10516 "29329" "7418310" 43760 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
11580 "29328" "7418309" 43737 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
16791 "6003" "52856" 6141 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
16549 "6005" "52858" 6150 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
16562 "6004" "52857" 6146 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
16495 "6007" "52859" 6157 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
16567 "6008" "52860" 6162 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
5089 "18654" "3218451" 22279 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
7997 "32206" "7476583" 49643 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
7997 "32206" "7476583" 49644 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
7997 "32206" "7476583" 49645 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
7997 "32206" "7476583" 49648 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
7997 "32206" "7476583" 49653 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
17113 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17415 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
12965 "37872" "7870674" 71507 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
10735 "29420" "7429613" 44297 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17434 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17443 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17407 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3648 "14622" "7150732" 35414 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
17425 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4179 "29615" "7432118" 44785 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
11298 "29616" "7432119" 44833 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
4188 "21886" "7847085" 68193 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1380 "21885" "8128771" 372280 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7294 "21887" "8128791" 372610 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
4205 "21891" "7847352" 70646 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7243 "21865" "8128780" 372407 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1123 "21872" "8128930" 374751 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
12796 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4183 "45952" "8148025" 383709 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
4084 "11705" "747606" 14667 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16801 "6511" "54507" 8727 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16467 "6509" "54501" 8673 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16803 "6513" "54509" 8751 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4251 "29093" "7413976" 41563 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
4250 "29092" "7413975" 41533 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
12798 "5232" "48166" 5592 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
230 "27242" "7322653" 37725 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
227 "27240" "7322650" 37679 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
226 "27239" "7322649" 37671 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
stops_match_shape_out_of_order WARNING 12

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.
12890 "3645" "57657" 10868 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10867 "12152" "Jonaičiai" [55.34641499999999,21.570023]
17244 "3667" "57730" 11007 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11006 "13926" "Jonaičiai" [55.346103,21.568929]
16814 "3714" "57735" 11065 "13926" "Jonaičiai" [55.346103,21.568929] 11064 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
17025 "13808" "1228372" 16398 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16397 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
11494 "28435" "7339430" 39097 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39096 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
11492 "28434" "7339429" 39073 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39072 "64820" "Suostas" [56.32837775901334,24.713656830174433]
12920 "6591" "57636" 10544 "13926" "Jonaičiai" [55.346103,21.568929] 10543 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
12922 "3554" "57639" 10584 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10583 "12152" "Jonaičiai" [55.34641499999999,21.570023]
81 "29102" "7413991" 41657 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 41656 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
10017 "40377" "8016002" 94499 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 94498 "97223" "Tarvydai I" [55.328604,21.56423]
6840 "40378" "8016003" 94508 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 94507 "97223" "Tarvydai I" [55.328604,21.56423]
13175 "5353" "57618" 10356 "13926" "Jonaičiai" [55.346103,21.568929] 10355 "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