GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-06-23T10:35:19+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: 57
  • Blocks: 0
  • Routes: 1681
  • Shapes: 4866
  • Stops: 16647
  • Trips: 46057

Specification Compliance report

118683 notices reported (0 errors, 118650 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`.
242 "21685" 627 "21748" "R2" "Tauragė - Šilalė" 3 "30"
1077 "6212" 1237 "16052" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
336 "6209" 1441 "18329" "M1" "Alytus - Geniai" 3 "48"
491 "3645" 1539 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 3902

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 3902 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" 528331 29882.7 878 528330 29882.7 877 0.12791084993239907
"2328" 444261 35929.8 642 444260 35929.8 641 0.11119510090982554
"3659" 523381 49657.5 1177 523380 49657.5 1176 0.12791084993239907
"42205" 3518908 57850.1 335 3518907 57850.1 334 0.06178544815632574
"2369" 437912 63265.5 1261 437911 63265.5 1260 0.11119510090982554
"2385" 634295 69168.3 1771 634294 69168.3 1770 0.06441976500794575
"28733" 2309988 71509.2 1569 2309987 71509.2 1568 0.06441976500794575
"1919" 766386 136875.8 2842 766385 136875.8 2841 0.12752942403551987
"1919" 766389 136876.0 2845 766388 136876.0 2844 0.11119510090982554
"1919" 766396 136876.5 2852 766395 136876.5 2851 0.11119510232447394
"1919" 766399 136876.7 2855 766398 136876.7 2854 0.11119510161714974
"1919" 766402 136876.9 2858 766401 136876.9 2857 0.12752941555597483
"1919" 766411 136877.5 2867 766410 136877.5 2866 0.11119510090982554
"1919" 766414 136877.7 2870 766413 136877.7 2869 0.11119510161714974
"1919" 766417 136877.9 2873 766416 136877.9 2872 0.11119510090982554
"1919" 766424 136878.4 2880 766423 136878.4 2879 0.11119510090982554
"1919" 766427 136878.6 2883 766426 136878.6 2882 0.11119510161714974
"1919" 766436 136879.2 2892 766435 136879.2 2891 0.11119510090982554
"1919" 766439 136879.4 2895 766438 136879.4 2894 0.12752939825777979
"1919" 766442 136879.6 2898 766441 136879.6 2897 0.11119510161714974
"1919" 766451 136880.2 2907 766450 136880.2 2906 0.11119510161714974
"1919" 766455 136880.5 2911 766454 136880.5 2910 0.06244513630731429
"1919" 766461 136880.9 2917 766460 136880.9 2916 0.11119510161714974
"1919" 766464 136881.1 2920 766463 136881.1 2919 0.11119510090982554
"1919" 766467 136881.3 2923 766466 136881.3 2922 0.11119510090982554
"1919" 766476 136881.9 2932 766475 136881.9 2931 0.12752938095958766
"1919" 766479 136882.1 2935 766478 136882.1 2934 0.11119510161714974
"1919" 766490 136882.8 2946 766489 136882.8 2945 0.11119510161714974
"1919" 766495 136883.1 2951 766494 136883.1 2950 0.11119510161714974
"1919" 766503 136883.6 2959 766502 136883.6 2958 0.11119510090982554
"1919" 766508 136883.9 2964 766507 136883.9 2963 0.11119510090982554
"1919" 766521 136884.7 2977 766520 136884.7 2976 0.11119510161714974
"1919" 766523 136884.8 2979 766522 136884.8 2978 0.11119510090982554
"1919" 766526 136885.0 2982 766525 136885.0 2981 0.11119510161714974
"1919" 766534 136885.5 2990 766533 136885.5 2989 0.1275293557985862
"1919" 766536 136885.6 2992 766535 136885.6 2991 0.11119510161714974
"1919" 766539 136885.8 2995 766538 136885.8 2994 0.11119510090982554
"1919" 766541 136885.9 2997 766540 136885.9 2996 0.11119510232447394
"1919" 766547 136886.3 3003 766546 136886.3 3002 0.06244505260741443
"1919" 766552 136886.6 3008 766551 136886.6 3007 0.11119510161714974
"1919" 766554 136886.7 3010 766553 136886.7 3009 0.11119510090982554
"1919" 766557 136886.9 3013 766556 136886.9 3012 0.11119510090982554
"1919" 766559 136887.0 3015 766558 136887.0 3014 0.11119510090982554
"1919" 766565 136887.4 3021 766564 136887.4 3020 0.11119510090982554
"1919" 766567 136887.5 3023 766566 136887.5 3022 0.11119510161714974
"1919" 766570 136887.7 3026 766569 136887.7 3025 0.11119510090982554
"1919" 766572 136887.8 3028 766571 136887.8 3027 0.11119510161714974
"1919" 766583 136888.5 3039 766582 136888.5 3038 0.11119510161714974
"1919" 766585 136888.6 3041 766584 136888.6 3040 0.11119510090982554
"1919" 766588 136888.8 3044 766587 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 13509

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 13509 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" 3100483 350.5 28 3100482 350.5 27
"43541" 3100494 811.7 39 3100493 811.7 38
"43541" 3100533 1779.8 78 3100532 1779.8 77
"43541" 3100577 3184.3 122 3100576 3184.3 121
"43541" 3100610 4418.1 155 3100609 4418.1 154
"43541" 3100626 4854.6 171 3100625 4854.6 170
"43541" 3100675 6561.9 220 3100674 6561.9 219
"43541" 3100711 7544.1 256 3100710 7544.1 255
"43541" 3100750 8757.6 295 3100749 8757.6 294
"43541" 3100767 9358.6 312 3100766 9358.6 311
"43541" 3100794 9709.1 339 3100793 9709.1 338
"43541" 3100840 10376.7 385 3100839 10376.7 384
"43541" 3100893 11116.1 438 3100892 11116.1 437
"43541" 3100924 11700.4 469 3100923 11700.4 468
"43541" 3100955 12284.8 500 3100954 12284.8 499
"43541" 3101216 14358.7 761 3101215 14358.7 760
"43541" 3101292 14706.8 837 3101291 14706.8 836
"43541" 3101392 15301.6 937 3101391 15301.6 936
"43541" 3101492 15896.4 1037 3101491 15896.4 1036
"43541" 3101568 16244.5 1113 3101567 16244.5 1112
"43541" 3101766 17133.2 1311 3101765 17133.2 1310
"43541" 3102009 18161.9 1554 3102008 18161.9 1553
"43541" 3102034 18472.3 1579 3102033 18472.3 1578
"43541" 3102084 18976.3 1629 3102083 18976.3 1628
"43541" 3102231 19673.4 1776 3102230 19673.4 1775
"43541" 3102460 21285.9 2005 3102459 21285.9 2004
"43541" 3102536 22756.6 2081 3102535 22756.6 2080
"43541" 3102612 24227.3 2157 3102611 24227.3 2156
"43541" 3102651 24719.6 2196 3102650 24719.6 2195
"43541" 3102668 25292.2 2213 3102667 25292.2 2212
"43541" 3102687 25625.9 2232 3102686 25625.9 2231
"43541" 3102775 26736.7 2320 3102774 26736.7 2319
"43541" 3102862 27236.5 2407 3102861 27236.5 2406
"43541" 3102911 28436.1 2456 3102910 28436.1 2455
"43541" 3102950 28928.5 2495 3102949 28928.5 2494
"43541" 3103001 29639.4 2546 3103000 29639.4 2545
"43541" 3103232 30811.2 2777 3103231 30811.2 2776
"43541" 3103308 31159.3 2853 3103307 31159.3 2852
"43541" 3103408 31754.1 2953 3103407 31754.1 2952
"43541" 3103508 32348.9 3053 3103507 32348.9 3052
"43541" 3103584 32697.0 3129 3103583 32697.0 3128
"43541" 3103782 33585.6 3327 3103781 33585.6 3326
"43541" 3104066 35228.5 3611 3104065 35228.5 3610
"43541" 3104119 35967.9 3664 3104118 35967.9 3663
"43541" 3104150 36552.2 3695 3104149 36552.2 3694
"43541" 3104181 37136.6 3726 3104180 37136.6 3725
"43531" 2172529 1036.1 44 2172528 1036.1 43
"43531" 2172558 1669.1 73 2172557 1669.1 72
"43531" 2172585 2285.2 100 2172584 2285.2 99
"43531" 2172626 4091.8 141 2172625 4091.8 140
expired_calendar WARNING 84

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 84 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
8 "1076"
4086 "73341"
4046 "1256"
4041 "1271"
16353 "1294"
20638 "48577"
20637 "48576"
2 "1339"
28318 "12709"
12278 "1379"
4286 "46048"
16623 "46049"
229 "46046"
230 "46047"
20632 "46044"
20633 "46045"
16622 "46043"
28560 "46040"
12497 "46041"
207 "48676"
20635 "46060"
16625 "46059"
231 "46053"
8366 "46054"
20634 "46051"
28561 "46052"
11 "1461"
28312 "1954"
24292 "20239"
28321 "20237"
4064 "44515"
4063 "44517"
28320 "17222"
20374 "17343"
45 "76307"
24316 "76308"
46 "76309"
28322 "13033"
4055 "13105"
20400 "76816"
14 "2009"
16 "2022"
16372 "2066"
12291 "2111"
20365 "2123"
16374 "2137"
16406 "62494"
8118 "2158"
8121 "2175"
8123 "2173"
fast_travel_between_consecutive_stops WARNING 3

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.
20530 "48_1760" "16027" 241.63706430018638 4.0272844050031065 571722 33 "48_5597" "Ąžuoliniai" "07:55:00" 571723 34 "48_7379" "Ostampas" "07:55:00"
36720 "26_214-20260615" "21992" 248.17705011392752 4.136284168565458 367992 2 "26_312" "Rotinėnai" "08:21:00" 367993 3 "26_286" "Žerniai" "08:21:00"
38814 "51_1730" "21608" 167.9440224946068 8.397201124730339 263709 9 "51_21414" "Marcinkonys" "17:01:00" 263710 10 "51_44557" "Žiūrai" "17:03:00"
fast_travel_between_far_stops WARNING 2

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

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.
20530 "48_1760" "16027" 205.63332489854255 10.281666244927129 571719 30 "48_7368" "Gluosninkai" "07:53:00" 571723 34 "48_7379" "Ostampas" "07:55:00"
38814 "51_1730" "21608" 161.5045529032965 10.766970193553101 263708 8 "51_21416" "Marcinkonių gel.stotis" "17:00:00" 263710 10 "51_44557" "Žiūrai" "17:03:00"
missing_bike_allowance WARNING 160

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 160 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.
2537 "2699" "8250491"
2565 "2699" "8250426"
2721 "2699" "8250444"
3033 "2699" "8250409"
3047 "2699" "8250502"
3067 "2699" "8250412"
3075 "2699" "8250408"
3178 "2699" "8250474"
3325 "2699" "8250440"
3329 "2699" "8250480"
3514 "2699" "8250504"
3560 "2699" "8250499"
3597 "2699" "8250470"
3648 "2699" "8250500"
3672 "2699" "8250456"
8078 "2699" "8250455"
8079 "2699" "8250516"
8105 "2699" "8250416"
8114 "2699" "8250481"
8182 "2699" "8250457"
8253 "2699" "8250423"
8267 "2699" "8250418"
8295 "2699" "8250406"
8303 "2699" "8250490"
8322 "2699" "8250508"
8336 "2699" "8250487"
8376 "2699" "8250486"
8400 "2699" "8250414"
8466 "2699" "8250509"
8482 "2699" "8250513"
8546 "2699" "8250410"
8556 "2699" "8250425"
8559 "2699" "8250507"
8658 "2699" "8250460"
8673 "2699" "8250415"
8900 "2699" "8250411"
9001 "2699" "8250515"
9056 "2699" "8250413"
9092 "2699" "8250433"
9117 "2699" "8250421"
9271 "2699" "8250503"
9282 "2699" "8250483"
9286 "2699" "8250514"
9299 "2699" "8250431"
9395 "2699" "8250478"
9424 "2699" "8250422"
9436 "2699" "8250498"
9457 "2699" "8250434"
9486 "2699" "8250463"
9560 "2699" "8250438"
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 783

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 783 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\"" 57
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 71
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 175
"routes.txt" "route_long_name" "JONAVA-RUKLA" 176
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 177
"routes.txt" "route_long_name" "JONAVA-KULVA" 178
"routes.txt" "route_short_name" "3_VLP" 207
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 265
"routes.txt" "route_short_name" "40-DT" 288
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 320
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 393
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 402
"routes.txt" "route_long_name" "JONAVA - SB TAUROSTA" 404
"routes.txt" "route_short_name" "5_VLP" 433
"routes.txt" "route_short_name" "94AT" 610
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 615
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 616
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 617
"routes.txt" "route_short_name" "2_VLP" 650
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 694
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 697
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 721
"routes.txt" "route_short_name" "94-DC" 807
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 816
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 817
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 818
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 819
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 820
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 879
"routes.txt" "route_short_name" "70AC" 978
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1006
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 1007
"routes.txt" "route_short_name" "4_VLP" 1040
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1094
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1125
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1165
"routes.txt" "route_short_name" "1A_VLP" 1244
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1292
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1307
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1324
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1328
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1332
"routes.txt" "route_short_name" "50AB" 1422
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1432
"routes.txt" "route_short_name" "2A_VLP" 1450
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1510
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1540
"routes.txt" "route_long_name" "telšiai janapolė - telšiai" 1546
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1577
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1585
stop_too_far_from_shape WARNING 38

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.
8475 "3636" "45756" 2602 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12006 "3651" "45771" 2631 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3202 "3653" "45773" 2632 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
11987 "43544" "8124133" 120891 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
8805 "43548" "8124139" 120929 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
8726 "18654" "3218451" 25759 "30_844" "Geluva" [55.249732,23.511073] 140.46827403515317
3587 "32206" "7476586" 47347 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
3587 "32206" "7476586" 47348 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
3587 "32206" "7476586" 47349 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
3587 "32206" "7476586" 47352 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
3587 "32206" "7476586" 47357 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
2609 "3899" "46086" 2740 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2498 "3014" "43694" 1854 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
9040 "29420" "7429613" 44337 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12192 "4529" "46899" 3413 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9515 "4527" "47691" 4910 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10210 "4528" "47692" 4911 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8748 "14622" "7150733" 37865 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
8344 "2821" "45017" 2526 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10078 "29615" "7432118" 44745 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
8306 "29616" "7432119" 44793 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
11362 "3339" "46943" 3414 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10346 "4710" "47249" 4145 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
10609 "4711" "47250" 4146 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
9401 "11705" "747606" 17001 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3349 "6511" "54508" 9987 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
8425 "6509" "54501" 9921 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2729 "6513" "54509" 9999 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
11442 "29093" "7413977" 42060 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
9924 "29092" "7413975" 42016 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
8358 "44681" "8136900" 130415 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
11880 "3514" "45563" 2549 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11288 "3537" "45591" 2574 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8359 "17131" "2515701" 23140 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
3630 "3574" "45644" 2575 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3265 "3617" "45754" 2601 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3412 "15331" "2211798" 20160 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
9260 "15330" "2211797" 20159 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stop_without_stop_time WARNING 147

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

Only the first 50 of 147 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
61 "57_81" "2-oji Karmėlava A"
317 "43_3247" "Autobusų parkas"
367 "41_1063" "Gordai"
461 "44_2974" "Giedriai"
463 "41_1052" "Kukečiai"
475 "41_1042" "Stendas"
1053 "41_1250" "Stendas"
1079 "41_1087" "Mykolaičiai"
1514 "_1018" "Altoniškiai"
1519 "48_5192" "Takniškių kryžkelė"
1597 "62_2940" "Pervaža"
1673 "62_2953" "Jonučiai"
1773 "41_960" "Meškiai"
1964 "41_1090" "Gedvydžiai"
2158 "57_263" "K. Petrausko"
2194 "30_960" "Paalsys"
2226 "27_3667" "Biblioteka"
2316 "41_978" "Lieporių k."
2450 "41_1084" "Saveikiai"
2467 "44_2975" "Pakapė"
2468 "41_954" "Bubių miestelis"
2470 "41_1050" "Grimziai"
2481 "41_1030" "Kairiai"
2623 "41_1158" "Šukiškiai"
2664 "57_79" "Karmėlava"
2724 "41_1085" "Saveikiai"
2765 "41_1152" "Kurtuvėnai"
2825 "41_968" "Bazilionai"
3123 "41_1071" "Bridai"
3132 "41_1083" "Dargaičiai"
3193 "41_1204" "Niūraičiai"
3228 "_3353" "Varžupio g."
3584 "62_2941" "Pervaža"
3858 "41_1157" "Spaudžiai"
3982 "41_1091" "Gedvydžiai"
4111 "57_236" "Sodai Neris"
4121 "57_27" "Biruliškės"
4263 "41_1178" "Gudeliai"
4409 "41_1053" "Paverpenis"
4410 "41_959" "Meškiai"
4420 "30_37" "Plentas"
4633 "41_962" "140 km"
4666 "41_987" "Bubiai"
4991 "_3814" "Raudondvaris"
5180 "41_1138" "Turgus"
5423 "62_2898" "Raudondvaris"
5595 "41_1031" "Kairiai"
5658 "62_2994" "Raudondvaris"
5707 "30_4450" "Šoliai"
5715 "57_26" "Biruliškės"
stops_match_shape_out_of_order WARNING 17

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.
10777 "3645" "57657" 13591 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13590 "12152" "Jonaičiai" [55.34641499999999,21.570023]
10996 "3667" "57730" 13730 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13729 "13926" "Jonaičiai" [55.346103,21.568929]
9725 "3714" "57736" 13804 "13926" "Jonaičiai" [55.346103,21.568929] 13803 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
3077 "13808" "1228372" 18856 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 18855 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
9702 "26489" "7231018" 38443 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38442 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
16663 "57769" "30_415" 259891 "30_6224" "Vieversys" [55.059990000000006,22.656120000000005] 259890 "30_1012" "Greičių sodai" [55.06255881585111,22.648915161597998]
16665 "57705" "30_416" 259877 "30_6224" "Vieversys" [55.059990000000006,22.656120000000005] 259876 "30_1012" "Greičių sodai" [55.06255881585111,22.648915161597998]
16662 "57882" "30_414" 259908 "30_6224" "Vieversys" [55.059990000000006,22.656120000000005] 259907 "30_1012" "Greičių sodai" [55.06255881585111,22.648915161597998]
11553 "28435" "7339430" 39766 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39765 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
12036 "28434" "7339429" 39742 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39741 "64820" "Suostas" [56.32837775901334,24.713656830174433]
9717 "6591" "57636" 13267 "13926" "Jonaičiai" [55.346103,21.568929] 13266 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
9481 "3554" "57639" 13307 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 13306 "12152" "Jonaičiai" [55.34641499999999,21.570023]
12348 "40377" "8016002" 73262 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 73261 "97223" "Tarvydai I" [55.328604,21.56423]
2615 "40378" "8016003" 73271 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 73270 "97223" "Tarvydai I" [55.328604,21.56423]
8801 "5353" "57622" 13096 "13926" "Jonaičiai" [55.346103,21.568929] 13095 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
8378 "54901" "8226897" 221276 "45588" "Balbieriškis" [54.524770000000004,23.885448] 221275 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
10306 "54903" "8241502" 234689 "45588" "Balbieriškis" [54.524770000000004,23.885448] 234688 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
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