GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-03-21T06:09:50+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: 52
  • Blocks: 0
  • Routes: 1566
  • Shapes: 3836
  • Stops: 14843
  • Trips: 22060

Specification Compliance report

119614 notices reported (0 errors, 119581 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`.
226 "6209" 380 "18329" "M1" "Alytus - Geniai" 3 "48"
186 "20281" 737 "20309" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
935 "16052" 1057 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
448 "3645" 1428 "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" 486208 29882.7 878 486207 29882.7 877 0.12791084993239907
"2328" 393911 35929.8 642 393910 35929.8 641 0.11119510090982554
"3659" 481258 49657.5 1177 481257 49657.5 1176 0.12791084993239907
"42205" 3435445 57850.1 335 3435444 57850.1 334 0.06178544815632574
"2369" 382715 63265.5 1261 382714 63265.5 1260 0.11119510090982554
"2385" 590511 69168.3 1771 590510 69168.3 1770 0.06441976500794575
"28733" 2346269 71509.2 1569 2346268 71509.2 1568 0.06441976500794575
"1919" 753241 136875.8 2842 753240 136875.8 2841 0.12752942403551987
"1919" 753244 136876.0 2845 753243 136876.0 2844 0.11119510090982554
"1919" 753251 136876.5 2852 753250 136876.5 2851 0.11119510232447394
"1919" 753254 136876.7 2855 753253 136876.7 2854 0.11119510161714974
"1919" 753257 136876.9 2858 753256 136876.9 2857 0.12752941555597483
"1919" 753266 136877.5 2867 753265 136877.5 2866 0.11119510090982554
"1919" 753269 136877.7 2870 753268 136877.7 2869 0.11119510161714974
"1919" 753272 136877.9 2873 753271 136877.9 2872 0.11119510090982554
"1919" 753279 136878.4 2880 753278 136878.4 2879 0.11119510090982554
"1919" 753282 136878.6 2883 753281 136878.6 2882 0.11119510161714974
"1919" 753291 136879.2 2892 753290 136879.2 2891 0.11119510090982554
"1919" 753294 136879.4 2895 753293 136879.4 2894 0.12752939825777979
"1919" 753297 136879.6 2898 753296 136879.6 2897 0.11119510161714974
"1919" 753306 136880.2 2907 753305 136880.2 2906 0.11119510161714974
"1919" 753310 136880.5 2911 753309 136880.5 2910 0.06244513630731429
"1919" 753316 136880.9 2917 753315 136880.9 2916 0.11119510161714974
"1919" 753319 136881.1 2920 753318 136881.1 2919 0.11119510090982554
"1919" 753322 136881.3 2923 753321 136881.3 2922 0.11119510090982554
"1919" 753331 136881.9 2932 753330 136881.9 2931 0.12752938095958766
"1919" 753334 136882.1 2935 753333 136882.1 2934 0.11119510161714974
"1919" 753345 136882.8 2946 753344 136882.8 2945 0.11119510161714974
"1919" 753350 136883.1 2951 753349 136883.1 2950 0.11119510161714974
"1919" 753358 136883.6 2959 753357 136883.6 2958 0.11119510090982554
"1919" 753363 136883.9 2964 753362 136883.9 2963 0.11119510090982554
"1919" 753376 136884.7 2977 753375 136884.7 2976 0.11119510161714974
"1919" 753378 136884.8 2979 753377 136884.8 2978 0.11119510090982554
"1919" 753381 136885.0 2982 753380 136885.0 2981 0.11119510161714974
"1919" 753389 136885.5 2990 753388 136885.5 2989 0.1275293557985862
"1919" 753391 136885.6 2992 753390 136885.6 2991 0.11119510161714974
"1919" 753394 136885.8 2995 753393 136885.8 2994 0.11119510090982554
"1919" 753396 136885.9 2997 753395 136885.9 2996 0.11119510232447394
"1919" 753402 136886.3 3003 753401 136886.3 3002 0.06244505260741443
"1919" 753407 136886.6 3008 753406 136886.6 3007 0.11119510161714974
"1919" 753409 136886.7 3010 753408 136886.7 3009 0.11119510090982554
"1919" 753412 136886.9 3013 753411 136886.9 3012 0.11119510090982554
"1919" 753414 136887.0 3015 753413 136887.0 3014 0.11119510090982554
"1919" 753420 136887.4 3021 753419 136887.4 3020 0.11119510090982554
"1919" 753422 136887.5 3023 753421 136887.5 3022 0.11119510161714974
"1919" 753425 136887.7 3026 753424 136887.7 3025 0.11119510090982554
"1919" 753427 136887.8 3028 753426 136887.8 3027 0.11119510161714974
"1919" 753438 136888.5 3039 753437 136888.5 3038 0.11119510161714974
"1919" 753440 136888.6 3041 753439 136888.6 3040 0.11119510090982554
"1919" 753443 136888.8 3044 753442 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 14901

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 14901 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" 3190307 350.5 28 3190306 350.5 27
"43541" 3190318 811.7 39 3190317 811.7 38
"43541" 3190357 1779.8 78 3190356 1779.8 77
"43541" 3190401 3184.3 122 3190400 3184.3 121
"43541" 3190434 4418.1 155 3190433 4418.1 154
"43541" 3190450 4854.6 171 3190449 4854.6 170
"43541" 3190499 6561.9 220 3190498 6561.9 219
"43541" 3190535 7544.1 256 3190534 7544.1 255
"43541" 3190574 8757.6 295 3190573 8757.6 294
"43541" 3190591 9358.6 312 3190590 9358.6 311
"43541" 3190618 9709.1 339 3190617 9709.1 338
"43541" 3190664 10376.7 385 3190663 10376.7 384
"43541" 3190717 11116.1 438 3190716 11116.1 437
"43541" 3190748 11700.4 469 3190747 11700.4 468
"43541" 3190779 12284.8 500 3190778 12284.8 499
"43541" 3191040 14358.7 761 3191039 14358.7 760
"43541" 3191116 14706.8 837 3191115 14706.8 836
"43541" 3191216 15301.6 937 3191215 15301.6 936
"43541" 3191316 15896.4 1037 3191315 15896.4 1036
"43541" 3191392 16244.5 1113 3191391 16244.5 1112
"43541" 3191590 17133.2 1311 3191589 17133.2 1310
"43541" 3191833 18161.9 1554 3191832 18161.9 1553
"43541" 3191858 18472.3 1579 3191857 18472.3 1578
"43541" 3191908 18976.3 1629 3191907 18976.3 1628
"43541" 3192055 19673.4 1776 3192054 19673.4 1775
"43541" 3192284 21285.9 2005 3192283 21285.9 2004
"43541" 3192360 22756.6 2081 3192359 22756.6 2080
"43541" 3192436 24227.3 2157 3192435 24227.3 2156
"43541" 3192475 24719.6 2196 3192474 24719.6 2195
"43541" 3192492 25292.2 2213 3192491 25292.2 2212
"43541" 3192511 25625.9 2232 3192510 25625.9 2231
"43541" 3192599 26736.7 2320 3192598 26736.7 2319
"43541" 3192686 27236.5 2407 3192685 27236.5 2406
"43541" 3192735 28436.1 2456 3192734 28436.1 2455
"43541" 3192774 28928.5 2495 3192773 28928.5 2494
"43541" 3192825 29639.4 2546 3192824 29639.4 2545
"43541" 3193056 30811.2 2777 3193055 30811.2 2776
"43541" 3193132 31159.3 2853 3193131 31159.3 2852
"43541" 3193232 31754.1 2953 3193231 31754.1 2952
"43541" 3193332 32348.9 3053 3193331 32348.9 3052
"43541" 3193408 32697.0 3129 3193407 32697.0 3128
"43541" 3193606 33585.6 3327 3193605 33585.6 3326
"43541" 3193890 35228.5 3611 3193889 35228.5 3610
"43541" 3193943 35967.9 3664 3193942 35967.9 3663
"43541" 3193974 36552.2 3695 3193973 36552.2 3694
"43541" 3194005 37136.6 3726 3194004 37136.6 3725
"43531" 2219966 1036.1 44 2219965 1036.1 43
"43531" 2219995 1669.1 73 2219994 1669.1 72
"43531" 2220022 2285.2 100 2220021 2285.2 99
"43531" 2220063 4091.8 141 2220062 4091.8 140
expired_calendar WARNING 73

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 73 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
11877 "13743"
2949 "73341"
5857 "2499"
2904 "1256"
2900 "1271"
11842 "1294"
20599 "24601"
20593 "24602"
2 "1339"
5854 "2685"
20590 "12709"
8851 "1379"
11868 "2737"
14802 "2766"
9 "1461"
14815 "47502"
17661 "2814"
11872 "2849"
11873 "2852"
14804 "2850"
8866 "2980"
14803 "2975"
5855 "2974"
17660 "2972"
20766 "71406"
20767 "71407"
11888 "47985"
20584 "1954"
17669 "20239"
20594 "20237"
12042 "79254"
20592 "17222"
17667 "31530"
14810 "17343"
23 "43774"
752 "89141"
1101 "89140"
3090 "80868"
20579 "678"
16850 "89406"
3303 "89405"
11841 "973"
43 "76307"
17704 "76308"
44 "76309"
20587 "3000"
5856 "3012"
20595 "13033"
2913 "13105"
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.
8603 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 119743 17 "99227" "Krekenava" "14:03:00" 119744 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.
846 "2699" "7597155"
908 "2699" "7597200"
1090 "2699" "7597146"
1190 "2699" "7597135"
1195 "2699" "7597165"
1261 "2699" "7597160"
1311 "2699" "7597174"
1321 "2699" "7597139"
1608 "2699" "7597169"
1816 "2699" "7597180"
1882 "2699" "7597183"
1936 "2699" "7597148"
1972 "2699" "7597194"
2019 "2699" "7597188"
2022 "2699" "7597203"
2030 "2699" "7597157"
2168 "2699" "7597154"
2214 "2699" "7597192"
2284 "2699" "7597131"
2302 "2699" "7597163"
2456 "2699" "7597127"
2596 "2699" "7597167"
2600 "2699" "7597134"
2609 "2699" "7597206"
2615 "2699" "7597143"
2625 "2699" "7597190"
2660 "2699" "7597204"
2686 "2699" "7597212"
2822 "2699" "7597166"
2888 "2699" "7597178"
3007 "2699" "7597142"
3035 "2699" "7597207"
3175 "2699" "7597177"
3234 "2699" "7597202"
3297 "2699" "7597149"
3371 "2699" "7597021"
3465 "2699" "7597198"
3604 "2699" "7597125"
3710 "2699" "7597193"
3719 "2699" "7597175"
3838 "2699" "7597184"
3911 "2699" "7597136"
3951 "2699" "7597211"
3981 "2699" "7597210"
3989 "2699" "7597201"
3991 "2699" "7597172"
4039 "2699" "7597164"
4047 "2699" "7597176"
4131 "2699" "7597129"
4142 "2699" "7597153"
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 261

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 261 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" 79
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 174
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 175
"routes.txt" "route_short_name" "3_VLP" 187
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 203
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 217
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 232
"routes.txt" "route_short_name" "40-DT" 346
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 377
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 378
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 379
"routes.txt" "route_short_name" "5_VLP" 393
"routes.txt" "route_short_name" "94AT" 510
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 578
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 579
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 580
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 581
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 582
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 583
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 584
"routes.txt" "route_short_name" "2_VLP" 592
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 604
"routes.txt" "route_short_name" "94-DC" 631
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 651
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 669
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 766
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 794
"routes.txt" "route_short_name" "70AC" 798
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 946
"routes.txt" "route_short_name" "4_VLP" 955
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 989
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1006
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1018
"routes.txt" "route_short_name" "1A_VLP" 1164
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1195
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1196
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1206
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1227
"routes.txt" "route_short_name" "50AB" 1276
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1282
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1300
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1342
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 1343
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1344
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1345
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1346
"routes.txt" "route_short_name" "2A_VLP" 1359
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1394
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1410
stop_too_far_from_shape WARNING 52

stop_too_far_from_shape

Stop too far from trip shape.

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

You can see more about this notice here.

Only the first 50 of 52 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
4308 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3121 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2128 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3102 "43544" "8124133" 230589 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
5060 "43548" "8124139" 230627 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
1225 "26974" "7317016" 39652 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
1225 "26974" "7317016" 39653 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
1225 "26974" "7317016" 39668 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
1199 "16822" "2392140" 25533 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
970 "16821" "2392136" 25477 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
3834 "16823" "2392142" 25572 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
4672 "18654" "3218451" 28729 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
822 "32206" "7476585" 51266 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
822 "32206" "7476585" 51267 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
822 "32206" "7476585" 51268 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
822 "32206" "7476585" 51271 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
822 "32206" "7476585" 51276 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
4874 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4454 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
9303 "37872" "61_49W" 78743 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
5103 "29420" "7429613" 45937 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2635 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5938 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6248 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3576 "14622" "7150732" 38519 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
3394 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5731 "29615" "7432118" 46345 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
4830 "29616" "7432119" 46393 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
6926 "21886" "60_A4-01-6-251110-ba-0730" 232577 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
141 "21885" "60_A30-01-7-251110-ab-1650" 231297 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
397 "21887" "60_A2-01-7-251110-ab3-1430" 231522 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
416 "21891" "60_A2-01-7-251110-ab2-0730" 231599 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7107 "21865" "60_A2-01-7-251110-b3a-1150" 233431 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
151 "21872" "60_A2-01-6-251110-b2a-0930" 232187 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1966 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1420 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
1688 "4711" "47250" 4661 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
5020 "11705" "747606" 18625 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2879 "6511" "54508" 10624 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3960 "6509" "54501" 10558 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5306 "6513" "54509" 10636 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2349 "29093" "7413977" 43496 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
6167 "29092" "7413975" 43452 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2246 "5232" "48166" 5825 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
3165 "44681" "8136902" 243710 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2215 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1500 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3413 "17131" "2515701" 25975 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
4077 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2502 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
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.
1350 "3645" "57657" 14619 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14618 "12152" "Jonaičiai" [55.34641499999999,21.570023]
1201 "3667" "57730" 14758 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14757 "13926" "Jonaičiai" [55.346103,21.568929]
1934 "3714" "57735" 14816 "13926" "Jonaičiai" [55.346103,21.568929] 14815 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
8200 "13808" "1228372" 21409 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21408 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
6321 "26489" "7231018" 39112 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 39111 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
837 "35668" "7652364" 63282 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 63281 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
1575 "28435" "7339430" 41134 "64819" "Suostas" [56.32837413018391,24.713657886432735] 41133 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
3252 "28434" "7339429" 41110 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 41109 "64820" "Suostas" [56.32837775901334,24.713656830174433]
3119 "6591" "57635" 14279 "13926" "Jonaičiai" [55.346103,21.568929] 14278 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
1220 "3554" "57643" 14423 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14422 "12152" "Jonaičiai" [55.34641499999999,21.570023]
5730 "29102" "7413991" 43576 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43575 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
3968 "40377" "8016002" 96264 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 96263 "97223" "Tarvydai I" [55.328604,21.56423]
4881 "40378" "8016003" 96273 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 96272 "97223" "Tarvydai I" [55.328604,21.56423]
1851 "5353" "57618" 14107 "13926" "Jonaičiai" [55.346103,21.568929] 14106 "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