GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-19T06:08:16+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

⚠ This feed contains GTFS Flex features. Please note that GTFS Flex validation support is still in development. You can manually review all the validation rules for Flex data here.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included


Feed Info


Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included


  1. agency.txt
  2. attributions.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. trips.txt

Counts


  • Agencies: 53
  • Blocks: 0
  • Routes: 1665
  • Shapes: 4357
  • Stops: 15854
  • Trips: 30811

Specification Compliance report

124004 notices reported (0 errors, 123971 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 42

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`.
211 "20692" 240 "20628" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
220 "18329" 337 "6209" "M1" "Alytus - Geniai" 3 "48"
10 "20638" 417 "20708" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
420 "20662" 421 "20722" "M-156" "Kaunas - Neveronys" 3 "14"
419 "20627" 422 "20715" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
428 "20691" 442 "20635" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
12 "20711" 636 "20636" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
418 "20658" 638 "20719" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
42 "20642" 642 "20685" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
215 "20688" 674 "20645" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
166 "20727" 789 "20726" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
455 "20654" 827 "20709" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
8 "20705" 833 "20649" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
203 "20687" 834 "20663" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
443 "20656" 843 "20693" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
38 "20650" 846 "20707" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
675 "20633" 847 "20696" "M-151" "Kaunas-Ramučiai" 3 "14"
829 "20689" 867 "20631" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
11 "20718" 868 "20657" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
433 "20698" 881 "20626" "M-120" "Karmėlava-Ramučiai" 3 "14"
836 "20647" 1027 "20721" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
243 "20660" 1031 "20690" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
855 "20646" 1032 "20703" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
242 "20655" 1041 "20717" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
429 "20700" 1066 "20639" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
848 "16052" 1092 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
1051 "20630" 1245 "20683" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
423 "20697" 1246 "20634" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
1030 "20694" 1247 "20632" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
870 "20641" 1250 "20699" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
871 "20651" 1251 "20716" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
439 "20644" 1252 "20706" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
828 "20702" 1275 "20652" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
838 "20661" 1449 "20710" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
637 "20653" 1450 "20713" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
1052 "20665" 1453 "20714" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
244 "20643" 1454 "20701" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
209 "20648" 1457 "20720" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
1267 "20637" 1459 "20695" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
1033 "20704" 1477 "20664" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
432 "20686" 1497 "20629" "M-168" "Vosiškiai-Babtai" 3 "14"
546 "3645" 1511 "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" 515648 29882.7 878 515647 29882.7 877 0.12791084993239907
"2328" 423351 35929.8 642 423350 35929.8 641 0.11119510090982554
"3659" 510698 49657.5 1177 510697 49657.5 1176 0.12791084993239907
"42205" 3651003 57850.1 335 3651002 57850.1 334 0.06178544815632574
"2369" 412155 63265.5 1261 412154 63265.5 1260 0.11119510090982554
"2385" 621612 69168.3 1771 621611 69168.3 1770 0.06441976500794575
"28733" 2428150 71509.2 1569 2428149 71509.2 1568 0.06441976500794575
"1919" 785380 136875.8 2842 785379 136875.8 2841 0.12752942403551987
"1919" 785383 136876.0 2845 785382 136876.0 2844 0.11119510090982554
"1919" 785390 136876.5 2852 785389 136876.5 2851 0.11119510232447394
"1919" 785393 136876.7 2855 785392 136876.7 2854 0.11119510161714974
"1919" 785396 136876.9 2858 785395 136876.9 2857 0.12752941555597483
"1919" 785405 136877.5 2867 785404 136877.5 2866 0.11119510090982554
"1919" 785408 136877.7 2870 785407 136877.7 2869 0.11119510161714974
"1919" 785411 136877.9 2873 785410 136877.9 2872 0.11119510090982554
"1919" 785418 136878.4 2880 785417 136878.4 2879 0.11119510090982554
"1919" 785421 136878.6 2883 785420 136878.6 2882 0.11119510161714974
"1919" 785430 136879.2 2892 785429 136879.2 2891 0.11119510090982554
"1919" 785433 136879.4 2895 785432 136879.4 2894 0.12752939825777979
"1919" 785436 136879.6 2898 785435 136879.6 2897 0.11119510161714974
"1919" 785445 136880.2 2907 785444 136880.2 2906 0.11119510161714974
"1919" 785449 136880.5 2911 785448 136880.5 2910 0.06244513630731429
"1919" 785455 136880.9 2917 785454 136880.9 2916 0.11119510161714974
"1919" 785458 136881.1 2920 785457 136881.1 2919 0.11119510090982554
"1919" 785461 136881.3 2923 785460 136881.3 2922 0.11119510090982554
"1919" 785470 136881.9 2932 785469 136881.9 2931 0.12752938095958766
"1919" 785473 136882.1 2935 785472 136882.1 2934 0.11119510161714974
"1919" 785484 136882.8 2946 785483 136882.8 2945 0.11119510161714974
"1919" 785489 136883.1 2951 785488 136883.1 2950 0.11119510161714974
"1919" 785497 136883.6 2959 785496 136883.6 2958 0.11119510090982554
"1919" 785502 136883.9 2964 785501 136883.9 2963 0.11119510090982554
"1919" 785515 136884.7 2977 785514 136884.7 2976 0.11119510161714974
"1919" 785517 136884.8 2979 785516 136884.8 2978 0.11119510090982554
"1919" 785520 136885.0 2982 785519 136885.0 2981 0.11119510161714974
"1919" 785528 136885.5 2990 785527 136885.5 2989 0.1275293557985862
"1919" 785530 136885.6 2992 785529 136885.6 2991 0.11119510161714974
"1919" 785533 136885.8 2995 785532 136885.8 2994 0.11119510090982554
"1919" 785535 136885.9 2997 785534 136885.9 2996 0.11119510232447394
"1919" 785541 136886.3 3003 785540 136886.3 3002 0.06244505260741443
"1919" 785546 136886.6 3008 785545 136886.6 3007 0.11119510161714974
"1919" 785548 136886.7 3010 785547 136886.7 3009 0.11119510090982554
"1919" 785551 136886.9 3013 785550 136886.9 3012 0.11119510090982554
"1919" 785553 136887.0 3015 785552 136887.0 3014 0.11119510090982554
"1919" 785559 136887.4 3021 785558 136887.4 3020 0.11119510090982554
"1919" 785561 136887.5 3023 785560 136887.5 3022 0.11119510161714974
"1919" 785564 136887.7 3026 785563 136887.7 3025 0.11119510090982554
"1919" 785566 136887.8 3028 785565 136887.8 3027 0.11119510161714974
"1919" 785577 136888.5 3039 785576 136888.5 3038 0.11119510161714974
"1919" 785579 136888.6 3041 785578 136888.6 3040 0.11119510090982554
"1919" 785582 136888.8 3044 785581 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 19151

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 19151 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`.
"54233" 3573437 568.4 11 3573436 568.4 10
"54233" 3573454 1332.9 28 3573453 1332.9 27
"54233" 3573469 2632.1 43 3573468 2632.1 42
"54233" 3573499 4344.1 73 3573498 4344.1 72
"54233" 3573509 4911.0 83 3573508 4911.0 82
"54233" 3573539 6436.5 113 3573538 6436.5 112
"54233" 3573548 7866.2 122 3573547 7866.2 121
"54233" 3573586 14319.8 160 3573585 14319.8 159
"54233" 3573596 14744.6 170 3573595 14744.6 169
"54233" 3573618 15719.1 192 3573617 15719.1 191
"54233" 3573629 15951.6 203 3573628 15951.6 202
"54233" 3573636 16300.0 210 3573635 16300.0 209
"54233" 3573643 16654.4 217 3573642 16654.4 216
"54233" 3573657 16900.6 231 3573656 16900.6 230
"54233" 3573688 17882.6 262 3573687 17882.6 261
"54233" 3573700 18307.8 274 3573699 18307.8 273
"54233" 3573741 22494.3 315 3573740 22494.3 314
"54233" 3573777 25025.7 351 3573776 25025.7 350
"54233" 3573787 26609.0 361 3573786 26609.0 360
"54233" 3573834 27761.7 408 3573833 27761.7 407
"54233" 3574006 38641.3 580 3574005 38641.3 579
"54233" 3574024 44076.7 598 3574023 44076.7 597
"54233" 3574032 45164.8 606 3574031 45164.8 605
"54233" 3574040 45314.5 614 3574039 45314.5 613
"54233" 3574044 45372.3 618 3574043 45372.3 617
"54233" 3574049 45737.6 623 3574048 45737.6 622
"54233" 3574059 46538.2 633 3574058 46538.2 632
"54232" 3565309 568.4 11 3565308 568.4 10
"54232" 3565326 1332.9 28 3565325 1332.9 27
"54232" 3565341 2632.1 43 3565340 2632.1 42
"54232" 3565371 4344.1 73 3565370 4344.1 72
"54232" 3565402 5622.4 104 3565401 5622.4 103
"54232" 3565408 5926.7 110 3565407 5926.7 109
"54232" 3565410 5940.2 112 3565409 5940.2 111
"54232" 3565412 6016.1 114 3565411 6016.1 113
"54232" 3565417 6393.3 119 3565416 6393.3 118
"54232" 3565424 6754.4 126 3565423 6754.4 125
"54232" 3565426 6803.6 128 3565425 6803.6 127
"54232" 3565429 7277.4 131 3565428 7277.4 130
"54232" 3565433 7324.7 135 3565432 7324.7 134
"54232" 3565436 7419.7 138 3565435 7419.7 137
"54232" 3565445 7725.2 147 3565444 7725.2 146
"54232" 3565453 8161.5 155 3565452 8161.5 154
"54232" 3565460 8575.2 162 3565459 8575.2 161
"54232" 3565469 8804.7 171 3565468 8804.7 170
"54232" 3565472 8980.8 174 3565471 8980.8 173
"54232" 3565477 9110.1 179 3565476 9110.1 178
"54232" 3565537 11189.6 239 3565536 11189.6 238
"54232" 3565569 12505.1 271 3565568 12505.1 270
"54232" 3565594 12791.9 296 3565593 12791.9 295
expired_calendar WARNING 66

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

Only the first 50 of 66 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3364 "73341"
3306 "1256"
3302 "1271"
13509 "1294"
23453 "24601"
2 "1339"
23445 "12709"
10111 "1379"
9 "1461"
23439 "1954"
20125 "20239"
23448 "20237"
23447 "17222"
16886 "17343"
47 "76307"
20161 "76308"
48 "76309"
23449 "13033"
3315 "13105"
16922 "76816"
12 "2009"
14 "2022"
13527 "2066"
59 "76974"
10124 "2111"
16877 "2123"
13529 "2137"
13569 "62494"
6672 "2158"
6675 "2175"
6677 "2173"
20110 "2206"
6678 "2205"
13531 "2218"
16875 "2217"
20113 "2216"
16871 "2213"
23438 "2224"
10127 "2285"
13544 "13743"
6682 "2499"
6679 "2685"
13535 "2737"
16878 "2766"
16891 "47502"
20117 "2814"
13539 "2849"
13540 "2852"
16880 "2850"
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.
19013 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 171064 17 "99227" "Krekenava" "14:03:00" 171065 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.
13463 "2699" "7597180"
13592 "2699" "7597154"
13730 "2699" "7597192"
13842 "2699" "7597178"
13933 "2699" "7597167"
13937 "2699" "7597134"
13946 "2699" "7597206"
13952 "2699" "7597143"
13963 "2699" "7597190"
14078 "2699" "7597149"
14340 "2699" "7597193"
14350 "2699" "7597175"
14382 "2699" "7597021"
14717 "2699" "7597129"
14728 "2699" "7597153"
14780 "2699" "7597173"
14791 "2699" "7597204"
14845 "2699" "7597142"
14874 "2699" "7597207"
15042 "2699" "7597198"
15118 "2699" "7597184"
15335 "2699" "7597185"
15344 "2699" "7597205"
15385 "2699" "7597145"
15639 "2699" "7597161"
15667 "2699" "7597151"
15679 "2699" "7597197"
15736 "2699" "7597199"
15775 "2699" "7597159"
15830 "2699" "7597200"
15987 "2699" "7597158"
16046 "2699" "7597162"
16063 "2699" "7597135"
16068 "2699" "7597165"
16133 "2699" "7597160"
19543 "2699" "7597169"
19621 "2699" "7597183"
19773 "2699" "7597148"
19814 "2699" "7597194"
19825 "2699" "7597131"
19943 "2699" "7597163"
20031 "2699" "7597212"
20043 "2699" "7597188"
20046 "2699" "7597203"
20055 "2699" "7597157"
20286 "2699" "7597127"
20459 "2699" "7597166"
20517 "2699" "7597177"
20677 "2699" "7597202"
20772 "2699" "7597136"
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 374

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 374 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "UŽDAROJI AKCINĖ BENDROVĖ \"EMTRA\"" 53
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 30
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 31
"routes.txt" "route_short_name" "3_VLP" 40
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 159
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 237
"routes.txt" "route_short_name" "5_VLP" 248
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 259
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 293
"routes.txt" "route_short_name" "40-DT" 351
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 370
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 450
"routes.txt" "route_short_name" "2_VLP" 458
"routes.txt" "route_short_name" "94AT" 521
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 627
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 662
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 665
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 669
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 670
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 673
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 679
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 709
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 769
"routes.txt" "route_short_name" "94-DC" 787
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 862
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 873
"routes.txt" "route_long_name" "JONAVA-KULVA" 874
"routes.txt" "route_short_name" "4_VLP" 876
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 922
"routes.txt" "route_short_name" "70AC" 1017
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1059
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1062
"routes.txt" "route_short_name" "1A_VLP" 1069
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1114
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1157
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1201
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1272
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1273
"routes.txt" "route_short_name" "2A_VLP" 1280
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1286
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1335
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1336
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1344
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1350
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1366
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1387
"routes.txt" "route_short_name" "50AB" 1417
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1487
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1488
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1489
stop_too_far_from_shape WARNING 48

stop_too_far_from_shape

Stop too far from trip shape.

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

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
20978 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
20371 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13392 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
20352 "43544" "8124133" 239413 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
21442 "43548" "8124139" 239451 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
14513 "26974" "7317010" 42126 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
14513 "26974" "7317010" 42127 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
14513 "26974" "7317010" 42142 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
21151 "18654" "3218451" 28189 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
14506 "32206" "7476586" 53675 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
14506 "32206" "7476586" 53676 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
14506 "32206" "7476586" 53677 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
14506 "32206" "7476586" 53680 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
14506 "32206" "7476586" 53685 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
15009 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14751 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
21485 "29420" "7429613" 48404 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13973 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22321 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22562 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20725 "14622" "7150732" 41095 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
14405 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15430 "29615" "7432118" 48812 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
21601 "29616" "7432119" 48860 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
59 "21886" "60_A2-02-1-241209-ba-1520" 73801 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
5286 "21885" "60_A4-01-6-241028-ab-2150" 464471 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
12357 "21887" "60_A2-01-7-060404-ab3-1100" 465140 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
151 "21891" "60_A2-02-1-241209-ab2-2020" 74644 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
5271 "21865" "60_A2-01-7-060404-b3a-0920" 463624 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
168 "21872" "60_A2-02-1-241209-b2a-1940" 73514 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
19807 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13694 "4710" "47248" 4648 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
19701 "4711" "47250" 4661 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
21610 "11705" "747606" 18312 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13832 "6511" "54508" 10652 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
20823 "6509" "54501" 10586 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
15273 "6513" "54509" 10664 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19993 "29093" "7413977" 46009 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
22272 "29092" "7413975" 45965 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
13764 "5232" "48166" 5853 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
14424 "44681" "8136900" 251280 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13731 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13237 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14425 "17131" "2515701" 25528 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
14553 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13629 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14013 "15331" "2211798" 22428 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
21369 "15330" "2211797" 22427 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 14

stops_match_shape_out_of_order

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

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

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
22982 "3645" "57657" 14647 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14646 "12152" "Jonaičiai" [55.34641499999999,21.570023]
16073 "3667" "57730" 14786 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14785 "13926" "Jonaičiai" [55.346103,21.568929]
19772 "3714" "57735" 14844 "13926" "Jonaičiai" [55.346103,21.568929] 14843 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
15983 "13808" "1228372" 21096 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21095 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
22609 "26489" "7231018" 41688 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 41687 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
22839 "35668" "7652364" 64696 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 64695 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
13315 "28435" "7339430" 43587 "64819" "Suostas" [56.32837413018391,24.713657886432735] 43586 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
20700 "28434" "7339429" 43563 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 43562 "64820" "Suostas" [56.32837775901334,24.713656830174433]
20369 "6591" "57635" 14307 "13926" "Jonaičiai" [55.346103,21.568929] 14306 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
16093 "3554" "57643" 14451 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14450 "12152" "Jonaičiai" [55.34641499999999,21.570023]
15429 "29102" "7413991" 46089 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 46088 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
20919 "40377" "8016002" 104019 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 104018 "97223" "Tarvydai I" [55.328604,21.56423]
15015 "40378" "8016003" 104028 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 104027 "97223" "Tarvydai I" [55.328604,21.56423]
13497 "5353" "57618" 14135 "13926" "Jonaičiai" [55.346103,21.568929] 14134 "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