GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-05-31T06:19:51+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: 51
  • Blocks: 0
  • Routes: 1598
  • Shapes: 4231
  • Stops: 14956
  • Trips: 22668

Specification Compliance report

125845 notices reported (0 errors, 125812 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 44

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`.
143 "21317" 320 "21453" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
110 "21446" 338 "21345" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
328 "21437" 343 "21336" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
335 "21342" 509 "21440" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
336 "21299" 512 "21449" "M-156" "Kaunas - Neveronys" 3 "14"
341 "21309" 518 "21445" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
317 "21463" 540 "21286" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
538 "21310" 703 "21435" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
319 "21542" 710 "21541" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
120 "21447" 722 "21276" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
141 "21335" 861 "21442" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
139 "21273" 873 "21458" "M-180" "Kaunas-Aleksotas-Tabariškiai-Girininkai" 3 "14"
866 "21464" 901 "21328" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
109 "21438" 903 "21340" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
874 "21467" 904 "21333" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
900 "21330" 1081 "21441" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
902 "21304" 1084 "21452" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
337 "21321" 1087 "21472" "M-166" "Kaunas-Kačerginė-Zapyškis-SB\"Baldininkas\"" 3 "14"
507 "21434" 1107 "21351" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
116 "21461" 1108 "21284" "M-106" "Kaunas-Jonučiai-Jurginiškiai-Skriaudžiai" 3 "14"
1079 "21459" 1110 "21300" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
1097 "16052" 1132 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
138 "21272" 1294 "21454" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
142 "21295" 1295 "21471" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
339 "21287" 1296 "21465" "M-151" "Kaunas-Ramučiai" 3 "14"
541 "21279" 1302 "21462" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
289 "6209" 1307 "18329" "M1" "Alytus - Geniai" 3 "48"
1080 "21436" 1312 "21290" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
1293 "21439" 1313 "21292" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
1088 "21443" 1314 "21339" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
1298 "21444" 1315 "21308" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
701 "21460" 1317 "21277" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
872 "21448" 1318 "21301" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
122 "21455" 1320 "21312" "M-168" "Vosiškiai-Babtai" 3 "14"
425 "3645" 1406 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
340 "21348" 1494 "21451" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
905 "21314" 1497 "21456" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
1319 "21346" 1500 "21450" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
119 "21468" 1520 "21326" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
704 "21466" 1521 "21296" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
876 "21473" 1522 "21324" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
517 "21469" 1523 "21288" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
1091 "21457" 1524 "21315" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
883 "21470" 1525 "21329" "M-120" "Karmėlava-Ramučiai" 3 "14"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 3904

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 3904 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" 454459 29882.7 878 454458 29882.7 877 0.12791084993239907
"2328" 370389 35929.8 642 370388 35929.8 641 0.11119510090982554
"3659" 449509 49657.5 1177 449508 49657.5 1176 0.12791084993239907
"42205" 3542575 57850.1 335 3542574 57850.1 334 0.06178544815632574
"2369" 364040 63265.5 1261 364039 63265.5 1260 0.11119510090982554
"2385" 558762 69168.3 1771 558761 69168.3 1770 0.06441976500794575
"28733" 2244048 71509.2 1569 2244047 71509.2 1568 0.06441976500794575
"1919" 694128 136875.8 2842 694127 136875.8 2841 0.12752942403551987
"1919" 694131 136876.0 2845 694130 136876.0 2844 0.11119510090982554
"1919" 694138 136876.5 2852 694137 136876.5 2851 0.11119510232447394
"1919" 694141 136876.7 2855 694140 136876.7 2854 0.11119510161714974
"1919" 694144 136876.9 2858 694143 136876.9 2857 0.12752941555597483
"1919" 694153 136877.5 2867 694152 136877.5 2866 0.11119510090982554
"1919" 694156 136877.7 2870 694155 136877.7 2869 0.11119510161714974
"1919" 694159 136877.9 2873 694158 136877.9 2872 0.11119510090982554
"1919" 694166 136878.4 2880 694165 136878.4 2879 0.11119510090982554
"1919" 694169 136878.6 2883 694168 136878.6 2882 0.11119510161714974
"1919" 694178 136879.2 2892 694177 136879.2 2891 0.11119510090982554
"1919" 694181 136879.4 2895 694180 136879.4 2894 0.12752939825777979
"1919" 694184 136879.6 2898 694183 136879.6 2897 0.11119510161714974
"1919" 694193 136880.2 2907 694192 136880.2 2906 0.11119510161714974
"1919" 694197 136880.5 2911 694196 136880.5 2910 0.06244513630731429
"1919" 694203 136880.9 2917 694202 136880.9 2916 0.11119510161714974
"1919" 694206 136881.1 2920 694205 136881.1 2919 0.11119510090982554
"1919" 694209 136881.3 2923 694208 136881.3 2922 0.11119510090982554
"1919" 694218 136881.9 2932 694217 136881.9 2931 0.12752938095958766
"1919" 694221 136882.1 2935 694220 136882.1 2934 0.11119510161714974
"1919" 694232 136882.8 2946 694231 136882.8 2945 0.11119510161714974
"1919" 694237 136883.1 2951 694236 136883.1 2950 0.11119510161714974
"1919" 694245 136883.6 2959 694244 136883.6 2958 0.11119510090982554
"1919" 694250 136883.9 2964 694249 136883.9 2963 0.11119510090982554
"1919" 694263 136884.7 2977 694262 136884.7 2976 0.11119510161714974
"1919" 694265 136884.8 2979 694264 136884.8 2978 0.11119510090982554
"1919" 694268 136885.0 2982 694267 136885.0 2981 0.11119510161714974
"1919" 694276 136885.5 2990 694275 136885.5 2989 0.1275293557985862
"1919" 694278 136885.6 2992 694277 136885.6 2991 0.11119510161714974
"1919" 694281 136885.8 2995 694280 136885.8 2994 0.11119510090982554
"1919" 694283 136885.9 2997 694282 136885.9 2996 0.11119510232447394
"1919" 694289 136886.3 3003 694288 136886.3 3002 0.06244505260741443
"1919" 694294 136886.6 3008 694293 136886.6 3007 0.11119510161714974
"1919" 694296 136886.7 3010 694295 136886.7 3009 0.11119510090982554
"1919" 694299 136886.9 3013 694298 136886.9 3012 0.11119510090982554
"1919" 694301 136887.0 3015 694300 136887.0 3014 0.11119510090982554
"1919" 694307 136887.4 3021 694306 136887.4 3020 0.11119510090982554
"1919" 694309 136887.5 3023 694308 136887.5 3022 0.11119510161714974
"1919" 694312 136887.7 3026 694311 136887.7 3025 0.11119510090982554
"1919" 694314 136887.8 3028 694313 136887.8 3027 0.11119510161714974
"1919" 694325 136888.5 3039 694324 136888.5 3038 0.11119510161714974
"1919" 694327 136888.6 3041 694326 136888.6 3040 0.11119510090982554
"1919" 694330 136888.8 3044 694329 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 20961

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 20961 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`.
"56890" 3396617 568.4 11 3396616 568.4 10
"56890" 3396634 1332.9 28 3396633 1332.9 27
"56890" 3396649 2632.1 43 3396648 2632.1 42
"56890" 3396679 4344.1 73 3396678 4344.1 72
"56890" 3396689 4911.0 83 3396688 4911.0 82
"56890" 3396719 6436.5 113 3396718 6436.5 112
"56890" 3396728 7866.2 122 3396727 7866.2 121
"56890" 3396761 12954.8 155 3396760 12954.8 154
"56890" 3396767 13935.0 161 3396766 13935.0 160
"56890" 3396773 15179.7 167 3396772 15179.7 166
"56890" 3396809 17711.1 203 3396808 17711.1 202
"56890" 3396819 19294.5 213 3396818 19294.5 212
"56890" 3396827 20263.6 221 3396826 20263.6 220
"56890" 3396829 20497.9 223 3396828 20497.9 222
"56891" 3396840 568.4 11 3396839 568.4 10
"56891" 3396857 1332.9 28 3396856 1332.9 27
"56891" 3396872 2632.1 43 3396871 2632.1 42
"56891" 3396902 4344.1 73 3396901 4344.1 72
"56891" 3396912 4911.0 83 3396911 4911.0 82
"56891" 3396942 6436.5 113 3396941 6436.5 112
"56891" 3396951 7866.2 122 3396950 7866.2 121
"56891" 3396989 14319.8 160 3396988 14319.8 159
"56891" 3396999 14744.6 170 3396998 14744.6 169
"56891" 3397021 15719.1 192 3397020 15719.1 191
"56891" 3397032 15951.6 203 3397031 15951.6 202
"56891" 3397039 16300.0 210 3397038 16300.0 209
"55560" 3205034 25.8 3 3205033 25.8 2
"55560" 3205075 2388.3 44 3205074 2388.3 43
"55560" 3205087 3182.6 56 3205086 3182.6 55
"55560" 3205091 3262.5 60 3205090 3262.5 59
"55560" 3205146 5428.3 115 3205145 5428.3 114
"55560" 3205155 5767.2 124 3205154 5767.2 123
"55560" 3205157 5959.5 126 3205156 5959.5 125
"55560" 3205160 6072.2 129 3205159 6072.2 128
"55560" 3205180 7328.9 149 3205179 7328.9 148
"55560" 3205215 9433.5 184 3205214 9433.5 183
"55560" 3205230 10146.9 199 3205229 10146.9 198
"55560" 3205251 11247.0 220 3205250 11247.0 219
"55560" 3205255 11334.1 224 3205254 11334.1 223
"55560" 3205305 14027.0 274 3205304 14027.0 273
"55560" 3205318 14822.5 287 3205317 14822.5 286
"55560" 3205343 16299.5 312 3205342 16299.5 311
"55560" 3205371 17487.3 340 3205370 17487.3 339
"55560" 3205409 19123.6 378 3205408 19123.6 377
"55560" 3205416 19373.1 385 3205415 19373.1 384
"55560" 3205443 20736.5 412 3205442 20736.5 411
"55560" 3205447 20821.5 416 3205446 20821.5 415
"55560" 3205479 21684.5 448 3205478 21684.5 447
"55560" 3205482 21734.4 451 3205481 21734.4 450
"55560" 3205489 22070.6 458 3205488 22070.6 457
expired_calendar WARNING 115

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 115 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
23192 "61331"
15733 "61334"
19531 "61350"
26970 "61357"
3851 "73341"
15726 "61301"
15729 "61304"
4055 "61305"
23188 "61311"
11849 "61317"
11847 "61308"
3815 "1256"
3811 "1271"
15464 "1294"
2 "1339"
26742 "12709"
11607 "1379"
9 "1461"
26736 "1954"
22949 "20239"
26745 "20237"
3833 "44515"
3832 "44517"
26744 "17222"
19258 "17343"
36 "76307"
22973 "76308"
37 "76309"
26746 "13033"
3824 "13105"
19287 "76816"
12 "2009"
14 "2022"
7543 "98347"
3665 "98340"
22809 "98338"
30345 "98339"
15482 "2066"
11619 "2111"
19249 "2123"
15484 "2137"
15518 "62494"
7684 "2158"
19136 "98466"
3694 "98465"
7687 "2175"
7689 "2173"
11519 "98487"
3706 "98486"
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.
6299 "48_1760" "16027" 241.63706430018638 4.0272844050031065 406949 33 "71255" "Ąžuoliniai" "07:55:00" 406950 34 "92301" "Ostampas" "07:55:00"
fast_travel_between_far_stops WARNING 1

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

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

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

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
6299 "48_1760" "16027" 205.63332489854255 10.281666244927129 406946 30 "92286" "Gluosninkai" "07:53:00" 406950 34 "92301" "Ostampas" "07:55:00"
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 726

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 726 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\"" 51
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 30
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 126
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 127
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 129
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 130
"routes.txt" "route_short_name" "3_VLP" 140
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 218
"routes.txt" "route_short_name" "5_VLP" 342
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 380
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 387
"routes.txt" "route_short_name" "40-DT" 403
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 520
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 521
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 522
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 530
"routes.txt" "route_short_name" "2_VLP" 537
"routes.txt" "route_short_name" "94AT" 607
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 618
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 646
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 664
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 712
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 713
"routes.txt" "route_short_name" "94-DC" 745
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 801
"routes.txt" "route_short_name" "70AC" 848
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 878
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 879
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 881
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 882
"routes.txt" "route_short_name" "4_VLP" 899
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 981
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1018
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1068
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1094
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1095
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1096
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1098
"routes.txt" "route_short_name" "1A_VLP" 1109
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1189
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1198
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1203
"routes.txt" "route_short_name" "50AB" 1238
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1241
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1258
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1264
"routes.txt" "route_short_name" "2A_VLP" 1316
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1387
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1388
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1427
stop_too_far_from_shape WARNING 42

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.
54 "3636" "45756" 2602 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15761 "3651" "45771" 2631 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18326 "3653" "45773" 2632 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15742 "43544" "8124133" 120629 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
707 "43548" "8124139" 120667 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
936 "26974" "7317018" 41054 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
936 "26974" "7317018" 41055 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
936 "26974" "7317018" 41070 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
617 "18654" "3218451" 27519 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
1153 "32206" "7476585" 51736 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
1153 "32206" "7476585" 51737 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
1153 "32206" "7476585" 51738 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
1153 "32206" "7476585" 51741 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
1153 "32206" "7476585" 51746 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
16510 "3899" "46086" 2740 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15926 "3014" "43694" 1854 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
746 "29420" "7429613" 46950 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16986 "4529" "46899" 3649 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
988 "4527" "47691" 5146 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15175 "4528" "47692" 5147 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
642 "14622" "7150733" 39902 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
17518 "2821" "45017" 2526 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17188 "29615" "7432118" 47358 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
14417 "29616" "7432119" 47406 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
17058 "3339" "46943" 3650 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
175 "4710" "47249" 4381 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
247 "4711" "47250" 4382 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
18344 "11705" "747606" 18038 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14620 "6511" "54508" 10311 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
750 "6509" "54502" 10260 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16846 "6513" "54509" 10323 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
14075 "29093" "7413976" 44659 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
14835 "29092" "7413975" 44629 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
13614 "5232" "48165" 5504 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
14507 "44681" "8136898" 130521 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
16660 "3514" "45563" 2549 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15980 "3537" "45591" 2574 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13595 "17131" "2515700" 24832 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
15609 "3574" "45644" 2575 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18502 "3617" "45754" 2601 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
598 "15331" "2211799" 21890 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
15440 "15330" "2211796" 21865 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stop_without_stop_time WARNING 2

stop_without_stop_time

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

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

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
1211 "53_1017" "Antakalnio žiedas"
6082 "2_118" "Grūtas"
stops_match_shape_out_of_order WARNING 15

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.
16745 "3645" "57657" 14356 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14355 "12152" "Jonaičiai" [55.34641499999999,21.570023]
15657 "3667" "57730" 14495 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14494 "13926" "Jonaičiai" [55.346103,21.568929]
1106 "3714" "57736" 14569 "13926" "Jonaičiai" [55.346103,21.568929] 14568 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
18062 "13808" "1228372" 20574 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20573 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
1079 "26489" "7231018" 40480 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 40479 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
1168 "35668" "7652364" 62469 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 62468 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
16306 "28435" "7339430" 42379 "64819" "Suostas" [56.32837413018391,24.713657886432735] 42378 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
14014 "28434" "7339429" 42355 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 42354 "64820" "Suostas" [56.32837775901334,24.713656830174433]
1097 "6591" "57636" 14032 "13926" "Jonaičiai" [55.346103,21.568929] 14031 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
14444 "3554" "57639" 14072 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14071 "12152" "Jonaičiai" [55.34641499999999,21.570023]
14140 "40377" "8016002" 83576 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 83575 "97223" "Tarvydai I" [55.328604,21.56423]
16516 "40378" "8016003" 83585 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 83584 "97223" "Tarvydai I" [55.328604,21.56423]
702 "5353" "57622" 13861 "13926" "Jonaičiai" [55.346103,21.568929] 13860 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
17618 "54901" "8226897" 257868 "45588" "Balbieriškis" [54.524770000000004,23.885448] 257867 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
134 "54903" "8241502" 335374 "45588" "Balbieriškis" [54.524770000000004,23.885448] 335373 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
unknown_column INFO 33

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"attributions.txt" "id" 3
"fare_attributes.txt" "journey_duration" 8
"routes.txt" "eligibility_restricted" 11
"routes.txt" "bikes_allowed" 12
"routes.txt" "regional_fare_card" 14
"stops.txt" "stop_direction" 12
"stops.txt" "vehicle_type" 14
"stops.txt" "mta_stop_id" 17
"stops.txt" "regional_fare_card" 18
"stop_times.txt" "start_service_area_id" 1
"stop_times.txt" "end_service_area_id" 2
"stop_times.txt" "note_id" 5
"stop_times.txt" "to_stop_sequence" 16
"stop_times.txt" "route_short_name" 18
"stop_times.txt" "start_service_area_radius" 24
"stop_times.txt" "end_service_area_radius" 25
"stop_times.txt" "fare_period_id" 26
"stop_times.txt" "departure_buffer" 27
"stop_times.txt" "track" 28
"stop_times.txt" "mean_duration_factor" 29
"stop_times.txt" "mean_duration_offset" 30
"stop_times.txt" "safe_duration_factor" 31
"stop_times.txt" "safe_duration_offset" 32
"stop_times.txt" "free_running_flag" 33
"trips.txt" "note_id" 2
"trips.txt" "mean_duration_factor" 12
"trips.txt" "mean_duration_offset" 13
"trips.txt" "safe_duration_factor" 14
"trips.txt" "safe_duration_offset" 15
"trips.txt" "cars_allowed" 16
"trips.txt" "peak_offpeak" 17
"trips.txt" "mta_trip_id" 18
"trips.txt" "boarding_type" 19