GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-17T06:07:22+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: 4363
  • Stops: 15854
  • Trips: 32316

Specification Compliance report

124035 notices reported (0 errors, 124002 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`.
202 "20692" 227 "20628" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
214 "18329" 279 "6209" "M1" "Alytus - Geniai" 3 "48"
24 "20638" 422 "20708" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
420 "20722" 433 "20662" "M-156" "Kaunas - Neveronys" 3 "14"
419 "20691" 435 "20635" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
421 "20715" 459 "20627" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
441 "20658" 633 "20719" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
198 "20642" 634 "20685" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
8 "20711" 655 "20636" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
47 "20727" 676 "20726" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
204 "20688" 679 "20645" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
436 "20656" 826 "20693" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
458 "20654" 828 "20709" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
50 "20650" 832 "20707" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
678 "20633" 834 "20696" "M-151" "Kaunas-Ramučiai" 3 "14"
7 "20705" 842 "20649" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
10 "20718" 850 "20657" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
203 "20687" 851 "20663" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
830 "20689" 852 "20631" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
425 "20698" 1020 "20626" "M-120" "Karmėlava-Ramučiai" 3 "14"
844 "20647" 1029 "20721" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
230 "20655" 1031 "20717" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
849 "20646" 1033 "20703" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
231 "20660" 1034 "20690" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
426 "20700" 1072 "20639" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
836 "16052" 1079 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
882 "20641" 1245 "20699" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
879 "20651" 1246 "20716" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
440 "20644" 1247 "20706" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
1044 "20630" 1248 "20683" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
1030 "20694" 1260 "20632" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
423 "20697" 1266 "20634" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
827 "20702" 1267 "20652" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
1263 "20637" 1449 "20695" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
1045 "20665" 1450 "20714" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
653 "20653" 1451 "20713" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
257 "20643" 1452 "20701" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
226 "20648" 1453 "20720" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
845 "20661" 1454 "20710" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
1036 "20704" 1475 "20664" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
512 "3645" 1600 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
424 "20686" 1665 "20629" "M-168" "Vosiškiai-Babtai" 3 "14"
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" 518164 29882.7 878 518163 29882.7 877 0.12791084993239907
"2328" 425867 35929.8 642 425866 35929.8 641 0.11119510090982554
"3659" 513214 49657.5 1177 513213 49657.5 1176 0.12791084993239907
"42205" 3653519 57850.1 335 3653518 57850.1 334 0.06178544815632574
"2369" 414671 63265.5 1261 414670 63265.5 1260 0.11119510090982554
"2385" 624128 69168.3 1771 624127 69168.3 1770 0.06441976500794575
"28733" 2430666 71509.2 1569 2430665 71509.2 1568 0.06441976500794575
"1919" 787896 136875.8 2842 787895 136875.8 2841 0.12752942403551987
"1919" 787899 136876.0 2845 787898 136876.0 2844 0.11119510090982554
"1919" 787906 136876.5 2852 787905 136876.5 2851 0.11119510232447394
"1919" 787909 136876.7 2855 787908 136876.7 2854 0.11119510161714974
"1919" 787912 136876.9 2858 787911 136876.9 2857 0.12752941555597483
"1919" 787921 136877.5 2867 787920 136877.5 2866 0.11119510090982554
"1919" 787924 136877.7 2870 787923 136877.7 2869 0.11119510161714974
"1919" 787927 136877.9 2873 787926 136877.9 2872 0.11119510090982554
"1919" 787934 136878.4 2880 787933 136878.4 2879 0.11119510090982554
"1919" 787937 136878.6 2883 787936 136878.6 2882 0.11119510161714974
"1919" 787946 136879.2 2892 787945 136879.2 2891 0.11119510090982554
"1919" 787949 136879.4 2895 787948 136879.4 2894 0.12752939825777979
"1919" 787952 136879.6 2898 787951 136879.6 2897 0.11119510161714974
"1919" 787961 136880.2 2907 787960 136880.2 2906 0.11119510161714974
"1919" 787965 136880.5 2911 787964 136880.5 2910 0.06244513630731429
"1919" 787971 136880.9 2917 787970 136880.9 2916 0.11119510161714974
"1919" 787974 136881.1 2920 787973 136881.1 2919 0.11119510090982554
"1919" 787977 136881.3 2923 787976 136881.3 2922 0.11119510090982554
"1919" 787986 136881.9 2932 787985 136881.9 2931 0.12752938095958766
"1919" 787989 136882.1 2935 787988 136882.1 2934 0.11119510161714974
"1919" 788000 136882.8 2946 787999 136882.8 2945 0.11119510161714974
"1919" 788005 136883.1 2951 788004 136883.1 2950 0.11119510161714974
"1919" 788013 136883.6 2959 788012 136883.6 2958 0.11119510090982554
"1919" 788018 136883.9 2964 788017 136883.9 2963 0.11119510090982554
"1919" 788031 136884.7 2977 788030 136884.7 2976 0.11119510161714974
"1919" 788033 136884.8 2979 788032 136884.8 2978 0.11119510090982554
"1919" 788036 136885.0 2982 788035 136885.0 2981 0.11119510161714974
"1919" 788044 136885.5 2990 788043 136885.5 2989 0.1275293557985862
"1919" 788046 136885.6 2992 788045 136885.6 2991 0.11119510161714974
"1919" 788049 136885.8 2995 788048 136885.8 2994 0.11119510090982554
"1919" 788051 136885.9 2997 788050 136885.9 2996 0.11119510232447394
"1919" 788057 136886.3 3003 788056 136886.3 3002 0.06244505260741443
"1919" 788062 136886.6 3008 788061 136886.6 3007 0.11119510161714974
"1919" 788064 136886.7 3010 788063 136886.7 3009 0.11119510090982554
"1919" 788067 136886.9 3013 788066 136886.9 3012 0.11119510090982554
"1919" 788069 136887.0 3015 788068 136887.0 3014 0.11119510090982554
"1919" 788075 136887.4 3021 788074 136887.4 3020 0.11119510090982554
"1919" 788077 136887.5 3023 788076 136887.5 3022 0.11119510161714974
"1919" 788080 136887.7 3026 788079 136887.7 3025 0.11119510090982554
"1919" 788082 136887.8 3028 788081 136887.8 3027 0.11119510161714974
"1919" 788093 136888.5 3039 788092 136888.5 3038 0.11119510161714974
"1919" 788095 136888.6 3041 788094 136888.6 3040 0.11119510090982554
"1919" 788098 136888.8 3044 788097 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" 3575953 568.4 11 3575952 568.4 10
"54233" 3575970 1332.9 28 3575969 1332.9 27
"54233" 3575985 2632.1 43 3575984 2632.1 42
"54233" 3576015 4344.1 73 3576014 4344.1 72
"54233" 3576025 4911.0 83 3576024 4911.0 82
"54233" 3576055 6436.5 113 3576054 6436.5 112
"54233" 3576064 7866.2 122 3576063 7866.2 121
"54233" 3576102 14319.8 160 3576101 14319.8 159
"54233" 3576112 14744.6 170 3576111 14744.6 169
"54233" 3576134 15719.1 192 3576133 15719.1 191
"54233" 3576145 15951.6 203 3576144 15951.6 202
"54233" 3576152 16300.0 210 3576151 16300.0 209
"54233" 3576159 16654.4 217 3576158 16654.4 216
"54233" 3576173 16900.6 231 3576172 16900.6 230
"54233" 3576204 17882.6 262 3576203 17882.6 261
"54233" 3576216 18307.8 274 3576215 18307.8 273
"54233" 3576257 22494.3 315 3576256 22494.3 314
"54233" 3576293 25025.7 351 3576292 25025.7 350
"54233" 3576303 26609.0 361 3576302 26609.0 360
"54233" 3576350 27761.7 408 3576349 27761.7 407
"54233" 3576522 38641.3 580 3576521 38641.3 579
"54233" 3576540 44076.7 598 3576539 44076.7 597
"54233" 3576548 45164.8 606 3576547 45164.8 605
"54233" 3576556 45314.5 614 3576555 45314.5 613
"54233" 3576560 45372.3 618 3576559 45372.3 617
"54233" 3576565 45737.6 623 3576564 45737.6 622
"54233" 3576575 46538.2 633 3576574 46538.2 632
"54232" 3567825 568.4 11 3567824 568.4 10
"54232" 3567842 1332.9 28 3567841 1332.9 27
"54232" 3567857 2632.1 43 3567856 2632.1 42
"54232" 3567887 4344.1 73 3567886 4344.1 72
"54232" 3567918 5622.4 104 3567917 5622.4 103
"54232" 3567924 5926.7 110 3567923 5926.7 109
"54232" 3567926 5940.2 112 3567925 5940.2 111
"54232" 3567928 6016.1 114 3567927 6016.1 113
"54232" 3567933 6393.3 119 3567932 6393.3 118
"54232" 3567940 6754.4 126 3567939 6754.4 125
"54232" 3567942 6803.6 128 3567941 6803.6 127
"54232" 3567945 7277.4 131 3567944 7277.4 130
"54232" 3567949 7324.7 135 3567948 7324.7 134
"54232" 3567952 7419.7 138 3567951 7419.7 137
"54232" 3567961 7725.2 147 3567960 7725.2 146
"54232" 3567969 8161.5 155 3567968 8161.5 154
"54232" 3567976 8575.2 162 3567975 8575.2 161
"54232" 3567985 8804.7 171 3567984 8804.7 170
"54232" 3567988 8980.8 174 3567987 8980.8 173
"54232" 3567993 9110.1 179 3567992 9110.1 178
"54232" 3568053 11189.6 239 3568052 11189.6 238
"54232" 3568085 12505.1 271 3568084 12505.1 270
"54232" 3568110 12791.9 296 3568109 12791.9 295
expired_calendar WARNING 68

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 68 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3366 "73341"
3308 "1256"
3304 "1271"
13516 "1294"
23470 "24601"
2 "1339"
23462 "12709"
10114 "1379"
9 "1461"
23456 "1954"
20136 "20239"
23465 "20237"
23464 "17222"
16895 "17343"
47 "76307"
20172 "76308"
48 "76309"
23466 "13033"
3317 "13105"
16931 "76816"
12 "2009"
14 "2022"
13534 "2066"
10127 "2111"
16886 "2123"
13536 "2137"
13576 "62494"
6675 "2158"
6678 "2175"
6680 "2173"
20121 "2206"
6681 "2205"
13538 "2218"
16884 "2217"
20124 "2216"
16880 "2213"
23455 "2224"
10130 "2285"
13551 "13743"
6685 "2499"
6682 "2685"
13542 "2737"
16887 "2766"
16900 "47502"
20128 "2814"
13546 "2849"
13547 "2852"
16889 "2850"
10129 "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.
10653 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 182551 17 "99227" "Krekenava" "14:03:00" 182552 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.
14776 "2699" "7597206"
14782 "2699" "7597143"
14793 "2699" "7597190"
14829 "2699" "7597204"
14881 "2699" "7597144"
15025 "2699" "7597142"
15054 "2699" "7597207"
15096 "2699" "7597021"
15393 "2699" "7597198"
15579 "2699" "7597155"
15676 "2699" "7597184"
15783 "2699" "7597174"
15793 "2699" "7597139"
15829 "2699" "7597146"
15923 "2699" "7597159"
15986 "2699" "7597158"
16154 "2699" "7597169"
16342 "2699" "7597162"
16458 "2699" "7597141"
16488 "2699" "7597182"
16535 "2699" "7597183"
16586 "2699" "7597148"
16762 "2699" "7597154"
16888 "2699" "7597126"
16926 "2699" "7597194"
16937 "2699" "7597131"
16955 "2699" "7597163"
17225 "2699" "7597138"
17345 "2699" "7597212"
17457 "2699" "7597188"
17460 "2699" "7597203"
17469 "2699" "7597157"
17491 "2699" "7597178"
17822 "2699" "7597149"
17954 "2699" "7597161"
17975 "2699" "7597151"
17987 "2699" "7597197"
18181 "2699" "7597193"
18191 "2699" "7597175"
18285 "2699" "7597199"
18321 "2699" "7597200"
18519 "2699" "7597129"
18530 "2699" "7597153"
18599 "2699" "7597135"
18604 "2699" "7597165"
18635 "2699" "7597136"
18677 "2699" "7597211"
18716 "2699" "7597208"
18776 "2699" "7597173"
18866 "2699" "7597160"
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 403

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 403 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" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 26
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 27
"routes.txt" "route_short_name" "3_VLP" 48
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 129
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 237
"routes.txt" "route_short_name" "5_VLP" 255
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 278
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 362
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 384
"routes.txt" "route_short_name" "40-DT" 406
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 448
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 456
"routes.txt" "route_short_name" "2_VLP" 463
"routes.txt" "route_short_name" "94AT" 480
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 656
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 657
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 658
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 660
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 671
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 695
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 717
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 772
"routes.txt" "route_short_name" "94-DC" 805
"routes.txt" "route_long_name" "JONAVA-KULVA" 855
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 857
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 858
"routes.txt" "route_short_name" "4_VLP" 881
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 934
"routes.txt" "route_short_name" "70AC" 944
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1053
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1054
"routes.txt" "route_short_name" "1A_VLP" 1076
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1099
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1113
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1132
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1270
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1272
"routes.txt" "route_short_name" "2A_VLP" 1283
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1313
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1343
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1348
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1349
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1362
"routes.txt" "route_short_name" "50AB" 1392
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1410
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1445
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1481
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1485
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1487
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.
18944 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17781 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16720 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17762 "43544" "8124133" 252894 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
19359 "43548" "8124139" 252932 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
14892 "26974" "7317018" 42262 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
14892 "26974" "7317018" 42263 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
14892 "26974" "7317018" 42278 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
19017 "18654" "3218451" 28189 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
14836 "32206" "7476584" 53627 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
14836 "32206" "7476584" 53628 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
14836 "32206" "7476584" 53629 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
14836 "32206" "7476584" 53632 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
14836 "32206" "7476584" 53637 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
19118 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18747 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
19602 "29420" "7429613" 48404 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14803 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14942 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15429 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19290 "14622" "7150733" 41110 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
15322 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14679 "29615" "7432118" 48812 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
20804 "29616" "7432119" 48860 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5725 "21886" "60_A2-02-1-241209-ba-2100" 75938 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
3197 "21885" "60_A2-01-6-060404-ab-1100" 504161 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
9000 "21887" "60_A2-01-7-060404-ab3-1100" 505842 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
9068 "21891" "60_A2-02-1-241209-ab2-2020" 74644 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
8992 "21865" "60_A2-01-7-060404-b3a-1150" 504690 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
4369 "21872" "60_A2-01-6-060404-b2a-1520" 504617 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
16919 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17043 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
16212 "4711" "47250" 4661 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
16858 "11705" "747606" 18312 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16040 "6511" "54507" 10640 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
18686 "6509" "54501" 10586 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19451 "6513" "54509" 10664 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
17307 "29093" "7413977" 46009 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
15133 "29092" "7413975" 45965 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
15408 "5232" "48167" 5861 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
15341 "44681" "8136900" 264761 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19776 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18909 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15342 "17131" "2515701" 25528 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
18456 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17098 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17549 "15331" "2211798" 22428 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
15488 "15330" "2211796" 22415 "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.
16099 "3645" "57657" 14647 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14646 "12152" "Jonaičiai" [55.34641499999999,21.570023]
18609 "3667" "57730" 14786 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14785 "13926" "Jonaičiai" [55.346103,21.568929]
15297 "3714" "57736" 14860 "13926" "Jonaičiai" [55.346103,21.568929] 14859 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
15982 "13808" "1228372" 21096 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21095 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
15269 "26489" "7231018" 41688 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 41687 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
15571 "35668" "7652364" 64696 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 64695 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
19232 "28435" "7339430" 43587 "64819" "Suostas" [56.32837413018391,24.713657886432735] 43586 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
20393 "28434" "7339429" 43563 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 43562 "64820" "Suostas" [56.32837775901334,24.713656830174433]
15288 "6591" "57636" 14323 "13926" "Jonaičiai" [55.346103,21.568929] 14322 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
17252 "3554" "57639" 14363 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14362 "12152" "Jonaičiai" [55.34641499999999,21.570023]
14678 "29102" "7413991" 46089 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 46088 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
20515 "40377" "8016002" 105015 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 105014 "97223" "Tarvydai I" [55.328604,21.56423]
19124 "40378" "8016003" 105024 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 105023 "97223" "Tarvydai I" [55.328604,21.56423]
19354 "5353" "57622" 14152 "13926" "Jonaičiai" [55.346103,21.568929] 14151 "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