GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-16T06:07:13+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: 52
  • Blocks: 0
  • Routes: 1644
  • Shapes: 4238
  • Stops: 15613
  • Trips: 30572

Specification Compliance report

124028 notices reported (0 errors, 123995 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`.
198 "20692" 219 "20628" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
206 "18329" 375 "6209" "M1" "Alytus - Geniai" 3 "48"
22 "20638" 407 "20708" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
409 "20722" 420 "20662" "M-156" "Kaunas - Neveronys" 3 "14"
412 "20691" 422 "20635" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
410 "20715" 448 "20627" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
47 "20642" 618 "20685" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
429 "20658" 622 "20719" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
7 "20711" 640 "20636" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
197 "20688" 658 "20645" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
42 "20727" 660 "20726" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
451 "20654" 810 "20709" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
43 "20650" 814 "20707" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
657 "20633" 816 "20696" "M-151" "Kaunas-Ramučiai" 3 "14"
423 "20656" 818 "20693" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
8 "20705" 831 "20649" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
9 "20718" 833 "20657" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
195 "20687" 834 "20663" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
811 "20689" 835 "20631" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
413 "20698" 867 "20626" "M-120" "Karmėlava-Ramučiai" 3 "14"
234 "20660" 1011 "20690" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
826 "20647" 1013 "20721" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
832 "20646" 1017 "20703" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
233 "20655" 1018 "20717" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
414 "20700" 1061 "20639" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
819 "16052" 1182 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
865 "20651" 1226 "20716" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
428 "20644" 1227 "20706" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
1029 "20630" 1228 "20683" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
864 "20641" 1229 "20699" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
1015 "20694" 1240 "20632" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
408 "20697" 1247 "20634" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
813 "20702" 1248 "20652" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
638 "20653" 1430 "20713" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
218 "20648" 1431 "20720" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
830 "20661" 1432 "20710" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
1026 "20665" 1433 "20714" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
1244 "20637" 1435 "20695" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
246 "20643" 1436 "20701" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
1016 "20704" 1456 "20664" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
411 "20686" 1484 "20629" "M-168" "Vosiškiai-Babtai" 3 "14"
505 "3645" 1491 "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" 517565 29882.7 878 517564 29882.7 877 0.12791084993239907
"2328" 425268 35929.8 642 425267 35929.8 641 0.11119510090982554
"3659" 512615 49657.5 1177 512614 49657.5 1176 0.12791084993239907
"42205" 3632066 57850.1 335 3632065 57850.1 334 0.06178544815632574
"2369" 414072 63265.5 1261 414071 63265.5 1260 0.11119510090982554
"2385" 623529 69168.3 1771 623528 69168.3 1770 0.06441976500794575
"28733" 2411476 71509.2 1569 2411475 71509.2 1568 0.06441976500794575
"1919" 787297 136875.8 2842 787296 136875.8 2841 0.12752942403551987
"1919" 787300 136876.0 2845 787299 136876.0 2844 0.11119510090982554
"1919" 787307 136876.5 2852 787306 136876.5 2851 0.11119510232447394
"1919" 787310 136876.7 2855 787309 136876.7 2854 0.11119510161714974
"1919" 787313 136876.9 2858 787312 136876.9 2857 0.12752941555597483
"1919" 787322 136877.5 2867 787321 136877.5 2866 0.11119510090982554
"1919" 787325 136877.7 2870 787324 136877.7 2869 0.11119510161714974
"1919" 787328 136877.9 2873 787327 136877.9 2872 0.11119510090982554
"1919" 787335 136878.4 2880 787334 136878.4 2879 0.11119510090982554
"1919" 787338 136878.6 2883 787337 136878.6 2882 0.11119510161714974
"1919" 787347 136879.2 2892 787346 136879.2 2891 0.11119510090982554
"1919" 787350 136879.4 2895 787349 136879.4 2894 0.12752939825777979
"1919" 787353 136879.6 2898 787352 136879.6 2897 0.11119510161714974
"1919" 787362 136880.2 2907 787361 136880.2 2906 0.11119510161714974
"1919" 787366 136880.5 2911 787365 136880.5 2910 0.06244513630731429
"1919" 787372 136880.9 2917 787371 136880.9 2916 0.11119510161714974
"1919" 787375 136881.1 2920 787374 136881.1 2919 0.11119510090982554
"1919" 787378 136881.3 2923 787377 136881.3 2922 0.11119510090982554
"1919" 787387 136881.9 2932 787386 136881.9 2931 0.12752938095958766
"1919" 787390 136882.1 2935 787389 136882.1 2934 0.11119510161714974
"1919" 787401 136882.8 2946 787400 136882.8 2945 0.11119510161714974
"1919" 787406 136883.1 2951 787405 136883.1 2950 0.11119510161714974
"1919" 787414 136883.6 2959 787413 136883.6 2958 0.11119510090982554
"1919" 787419 136883.9 2964 787418 136883.9 2963 0.11119510090982554
"1919" 787432 136884.7 2977 787431 136884.7 2976 0.11119510161714974
"1919" 787434 136884.8 2979 787433 136884.8 2978 0.11119510090982554
"1919" 787437 136885.0 2982 787436 136885.0 2981 0.11119510161714974
"1919" 787445 136885.5 2990 787444 136885.5 2989 0.1275293557985862
"1919" 787447 136885.6 2992 787446 136885.6 2991 0.11119510161714974
"1919" 787450 136885.8 2995 787449 136885.8 2994 0.11119510090982554
"1919" 787452 136885.9 2997 787451 136885.9 2996 0.11119510232447394
"1919" 787458 136886.3 3003 787457 136886.3 3002 0.06244505260741443
"1919" 787463 136886.6 3008 787462 136886.6 3007 0.11119510161714974
"1919" 787465 136886.7 3010 787464 136886.7 3009 0.11119510090982554
"1919" 787468 136886.9 3013 787467 136886.9 3012 0.11119510090982554
"1919" 787470 136887.0 3015 787469 136887.0 3014 0.11119510090982554
"1919" 787476 136887.4 3021 787475 136887.4 3020 0.11119510090982554
"1919" 787478 136887.5 3023 787477 136887.5 3022 0.11119510161714974
"1919" 787481 136887.7 3026 787480 136887.7 3025 0.11119510090982554
"1919" 787483 136887.8 3028 787482 136887.8 3027 0.11119510161714974
"1919" 787494 136888.5 3039 787493 136888.5 3038 0.11119510161714974
"1919" 787496 136888.6 3041 787495 136888.6 3040 0.11119510090982554
"1919" 787499 136888.8 3044 787498 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" 3554560 568.4 11 3554559 568.4 10
"54233" 3554577 1332.9 28 3554576 1332.9 27
"54233" 3554592 2632.1 43 3554591 2632.1 42
"54233" 3554622 4344.1 73 3554621 4344.1 72
"54233" 3554632 4911.0 83 3554631 4911.0 82
"54233" 3554662 6436.5 113 3554661 6436.5 112
"54233" 3554671 7866.2 122 3554670 7866.2 121
"54233" 3554709 14319.8 160 3554708 14319.8 159
"54233" 3554719 14744.6 170 3554718 14744.6 169
"54233" 3554741 15719.1 192 3554740 15719.1 191
"54233" 3554752 15951.6 203 3554751 15951.6 202
"54233" 3554759 16300.0 210 3554758 16300.0 209
"54233" 3554766 16654.4 217 3554765 16654.4 216
"54233" 3554780 16900.6 231 3554779 16900.6 230
"54233" 3554811 17882.6 262 3554810 17882.6 261
"54233" 3554823 18307.8 274 3554822 18307.8 273
"54233" 3554864 22494.3 315 3554863 22494.3 314
"54233" 3554900 25025.7 351 3554899 25025.7 350
"54233" 3554910 26609.0 361 3554909 26609.0 360
"54233" 3554957 27761.7 408 3554956 27761.7 407
"54233" 3555129 38641.3 580 3555128 38641.3 579
"54233" 3555147 44076.7 598 3555146 44076.7 597
"54233" 3555155 45164.8 606 3555154 45164.8 605
"54233" 3555163 45314.5 614 3555162 45314.5 613
"54233" 3555167 45372.3 618 3555166 45372.3 617
"54233" 3555172 45737.6 623 3555171 45737.6 622
"54233" 3555182 46538.2 633 3555181 46538.2 632
"54232" 3546432 568.4 11 3546431 568.4 10
"54232" 3546449 1332.9 28 3546448 1332.9 27
"54232" 3546464 2632.1 43 3546463 2632.1 42
"54232" 3546494 4344.1 73 3546493 4344.1 72
"54232" 3546525 5622.4 104 3546524 5622.4 103
"54232" 3546531 5926.7 110 3546530 5926.7 109
"54232" 3546533 5940.2 112 3546532 5940.2 111
"54232" 3546535 6016.1 114 3546534 6016.1 113
"54232" 3546540 6393.3 119 3546539 6393.3 118
"54232" 3546547 6754.4 126 3546546 6754.4 125
"54232" 3546549 6803.6 128 3546548 6803.6 127
"54232" 3546552 7277.4 131 3546551 7277.4 130
"54232" 3546556 7324.7 135 3546555 7324.7 134
"54232" 3546559 7419.7 138 3546558 7419.7 137
"54232" 3546568 7725.2 147 3546567 7725.2 146
"54232" 3546576 8161.5 155 3546575 8161.5 154
"54232" 3546583 8575.2 162 3546582 8575.2 161
"54232" 3546592 8804.7 171 3546591 8804.7 170
"54232" 3546595 8980.8 174 3546594 8980.8 173
"54232" 3546600 9110.1 179 3546599 9110.1 178
"54232" 3546660 11189.6 239 3546659 11189.6 238
"54232" 3546692 12505.1 271 3546691 12505.1 270
"54232" 3546717 12791.9 296 3546716 12791.9 295
expired_calendar WARNING 67

expired_calendar

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

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

You can see more about this notice here.

Only the first 50 of 67 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3352 "73341"
3296 "1256"
3292 "1271"
13475 "1294"
23391 "24601"
2 "1339"
23383 "12709"
10081 "1379"
9 "1461"
23377 "1954"
20067 "20239"
23386 "20237"
23385 "17222"
16839 "17343"
46 "76307"
20102 "76308"
47 "76309"
23387 "13033"
3305 "13105"
16874 "76816"
12 "2009"
14 "2022"
13493 "2066"
10094 "2111"
16830 "2123"
13495 "2137"
13533 "62494"
6654 "2158"
6657 "2175"
6659 "2173"
20052 "2206"
6660 "2205"
13497 "2218"
16828 "2217"
20055 "2216"
16824 "2213"
23376 "2224"
10097 "2285"
13510 "13743"
6664 "2499"
6661 "2685"
13501 "2737"
16831 "2766"
16844 "47502"
20059 "2814"
13505 "2849"
13506 "2852"
16833 "2850"
10096 "2980"
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.
14827 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 174192 17 "99227" "Krekenava" "14:03:00" 174193 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.
19311 "2699" "7597201"
19313 "2699" "7597172"
19362 "2699" "7597164"
19372 "2699" "7597176"
19391 "2699" "7597137"
19451 "2699" "7597170"
19491 "2699" "7597140"
19553 "2699" "7597191"
19558 "2699" "7597133"
19644 "2699" "7597147"
19733 "2699" "7597130"
19755 "2699" "7597181"
19789 "2699" "7597150"
19884 "2699" "7597128"
19908 "2699" "7597186"
22475 "2699" "7597167"
22479 "2699" "7597134"
22488 "2699" "7597206"
22494 "2699" "7597143"
22505 "2699" "7597190"
22541 "2699" "7597204"
22545 "2699" "7597174"
22555 "2699" "7597139"
22636 "2699" "7597169"
22680 "2699" "7597127"
22806 "2699" "7597149"
22916 "2699" "7597183"
23056 "2699" "7597166"
23114 "2699" "7597177"
23225 "2699" "7597193"
23235 "2699" "7597175"
23262 "2699" "7597148"
23303 "2699" "7597194"
23314 "2699" "7597131"
23332 "2699" "7597163"
23471 "2699" "7597202"
23719 "2699" "7597212"
23770 "2699" "7597136"
23812 "2699" "7597211"
23848 "2699" "7597125"
23927 "2699" "7597210"
23953 "2699" "7597129"
23964 "2699" "7597153"
24016 "2699" "7597173"
24139 "2699" "7597208"
24189 "2699" "7597187"
24378 "2699" "7597142"
24407 "2699" "7597207"
24439 "2699" "7597156"
24465 "2699" "7597209"
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 397

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 397 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" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 23
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 24
"routes.txt" "route_short_name" "3_VLP" 41
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 140
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 235
"routes.txt" "route_short_name" "5_VLP" 244
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 264
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 325
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 340
"routes.txt" "route_short_name" "40-DT" 382
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 438
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 446
"routes.txt" "route_short_name" "2_VLP" 447
"routes.txt" "route_short_name" "94AT" 520
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 642
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 643
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 645
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 647
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 655
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 667
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 688
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 694
"routes.txt" "route_short_name" "94-DC" 759
"routes.txt" "route_long_name" "JONAVA-KULVA" 840
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 841
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 850
"routes.txt" "route_short_name" "4_VLP" 859
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 962
"routes.txt" "route_short_name" "70AC" 991
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1031
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1032
"routes.txt" "route_short_name" "1A_VLP" 1055
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1099
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1176
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1211
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1254
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1257
"routes.txt" "route_short_name" "2A_VLP" 1264
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1268
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1282
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1285
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1312
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1319
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1376
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1394
"routes.txt" "route_short_name" "50AB" 1425
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1463
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1474
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1475
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.
24168 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22974 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
26888 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22955 "43544" "8124133" 244535 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
24765 "43548" "8124139" 244573 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
19739 "26974" "7317014" 42194 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
19739 "26974" "7317014" 42195 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
19739 "26974" "7317014" 42210 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
24447 "18654" "3218451" 28189 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
23548 "32206" "7476586" 53675 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
23548 "32206" "7476586" 53676 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
23548 "32206" "7476586" 53677 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
23548 "32206" "7476586" 53680 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
23548 "32206" "7476586" 53685 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
24316 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23987 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
24808 "29420" "7429613" 48404 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22515 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
25679 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27473 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23519 "14622" "7150732" 41095 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
24692 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
25202 "29615" "7432118" 48812 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
19578 "29616" "7432119" 48860 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
13540 "21886" "60_A2-02-1-241209-ba-0720" 75592 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
4649 "21885" "60_A2-01-6-060404-ab-1100" 484782 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
15368 "21887" "60_A2-01-7-060404-ab3-1100" 486463 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
10516 "21891" "60_A2-01-1-241209-ab2-1640" 75427 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
13780 "21865" "60_A2-01-7-060404-b3a-0920" 484947 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
3270 "21872" "60_A2-01-6-060404-b2a-1520" 485238 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
23296 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26795 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
19356 "4711" "47251" 4673 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
25976 "11705" "747606" 18312 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
25329 "6511" "54507" 10640 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
23821 "6509" "54501" 10586 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
24869 "6513" "54509" 10664 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
23681 "29093" "7413977" 46009 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
27083 "29092" "7413975" 45965 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
19678 "5232" "48165" 5845 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
23021 "44681" "8136902" 256452 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
27765 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26942 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19658 "17131" "2515700" 25502 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
23595 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27270 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22741 "15331" "2211798" 22428 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
25931 "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.
22581 "3645" "57657" 14647 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14646 "12152" "Jonaičiai" [55.34641499999999,21.570023]
26535 "3667" "57730" 14786 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14785 "13926" "Jonaičiai" [55.346103,21.568929]
23261 "3714" "57735" 14844 "13926" "Jonaičiai" [55.346103,21.568929] 14843 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
26448 "13808" "1228372" 21096 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21095 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
25768 "26489" "7231018" 41688 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 41687 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
26066 "35668" "7652364" 64696 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 64695 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
27020 "28435" "7339430" 43587 "64819" "Suostas" [56.32837413018391,24.713657886432735] 43586 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
23494 "28434" "7339429" 43563 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 43562 "64820" "Suostas" [56.32837775901334,24.713656830174433]
22972 "6591" "57635" 14307 "13926" "Jonaičiai" [55.346103,21.568929] 14306 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
26308 "3554" "57639" 14363 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14362 "12152" "Jonaičiai" [55.34641499999999,21.570023]
25201 "29102" "7413991" 46089 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 46088 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
23913 "40377" "8016002" 101512 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 101511 "97223" "Tarvydai I" [55.328604,21.56423]
24322 "40378" "8016003" 101521 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 101520 "97223" "Tarvydai I" [55.328604,21.56423]
23045 "5353" "57623" 14169 "13926" "Jonaičiai" [55.346103,21.568929] 14168 "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