GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-05-07T06:14:30+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: 1655
  • Shapes: 4330
  • Stops: 15702
  • Trips: 30230

Specification Compliance report

125195 notices reported (0 errors, 125162 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`.
9 "21121" 10 "21118" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
16 "21141" 17 "21148" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
208 "21187" 209 "21183" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
212 "21144" 213 "21142" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
222 "21120" 223 "21129" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
21 "21168" 224 "21166" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
67 "21189" 271 "21190" "M-151" "Kaunas-Ramučiai" 3 "14"
272 "21193" 273 "21191" "M-120" "Karmėlava-Ramučiai" 3 "14"
233 "18329" 348 "6209" "M1" "Alytus - Geniai" 3 "48"
211 "21114" 431 "21116" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
5 "21180" 432 "21177" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
215 "21135" 436 "21137" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
218 "21126" 438 "21123" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
440 "21143" 441 "21147" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
69 "21196" 485 "21195" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
433 "21150" 644 "21152" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
8 "21132" 823 "21131" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
214 "21122" 824 "21125" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
15 "21161" 827 "21174" "M-156" "Kaunas - Neveronys" 3 "14"
219 "21170" 829 "21173" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
20 "21119" 832 "21117" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
210 "21124" 1022 "21127" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
435 "21175" 1024 "21171" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
11 "21162" 1025 "21164" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
439 "21130" 1026 "21128" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
216 "21155" 1028 "21158" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
826 "21184" 1029 "21182" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
828 "21160" 1030 "21157" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
645 "21159" 1032 "21156" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
18 "21149" 1033 "21115" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
838 "16052" 1076 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
871 "21192" 1081 "21179" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
1023 "21133" 1252 "21139" "M-180" "Kaunas-Aleksotas-Tabariškiai-Girininkai" 3 "14"
646 "21165" 1254 "21163" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
13 "21136" 1255 "21134" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
6 "21167" 1435 "21169" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
822 "21172" 1436 "21154" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
434 "21138" 1437 "21140" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
825 "21146" 1438 "21145" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
1440 "21151" 1441 "21153" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
1034 "21186" 1442 "21188" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
833 "21176" 1443 "21185" "M-166" "Kaunas-Kačerginė-Zapyškis-SB\"Baldininkas\"" 3 "14"
462 "3645" 1478 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
870 "21181" 1504 "21178" "M-168" "Vosiškiai-Babtai" 3 "14"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 3903

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 3903 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" 486570 29882.7 878 486569 29882.7 877 0.12791084993239907
"2328" 402500 35929.8 642 402499 35929.8 641 0.11119510090982554
"3659" 481620 49657.5 1177 481619 49657.5 1176 0.12791084993239907
"42205" 3638400 57850.1 335 3638399 57850.1 334 0.06178544815632574
"2369" 396151 63265.5 1261 396150 63265.5 1260 0.11119510090982554
"2385" 592534 69168.3 1771 592533 69168.3 1770 0.06441976500794575
"28733" 2315021 71509.2 1569 2315020 71509.2 1568 0.06441976500794575
"1919" 735884 136875.8 2842 735883 136875.8 2841 0.12752942403551987
"1919" 735887 136876.0 2845 735886 136876.0 2844 0.11119510090982554
"1919" 735894 136876.5 2852 735893 136876.5 2851 0.11119510232447394
"1919" 735897 136876.7 2855 735896 136876.7 2854 0.11119510161714974
"1919" 735900 136876.9 2858 735899 136876.9 2857 0.12752941555597483
"1919" 735909 136877.5 2867 735908 136877.5 2866 0.11119510090982554
"1919" 735912 136877.7 2870 735911 136877.7 2869 0.11119510161714974
"1919" 735915 136877.9 2873 735914 136877.9 2872 0.11119510090982554
"1919" 735922 136878.4 2880 735921 136878.4 2879 0.11119510090982554
"1919" 735925 136878.6 2883 735924 136878.6 2882 0.11119510161714974
"1919" 735934 136879.2 2892 735933 136879.2 2891 0.11119510090982554
"1919" 735937 136879.4 2895 735936 136879.4 2894 0.12752939825777979
"1919" 735940 136879.6 2898 735939 136879.6 2897 0.11119510161714974
"1919" 735949 136880.2 2907 735948 136880.2 2906 0.11119510161714974
"1919" 735953 136880.5 2911 735952 136880.5 2910 0.06244513630731429
"1919" 735959 136880.9 2917 735958 136880.9 2916 0.11119510161714974
"1919" 735962 136881.1 2920 735961 136881.1 2919 0.11119510090982554
"1919" 735965 136881.3 2923 735964 136881.3 2922 0.11119510090982554
"1919" 735974 136881.9 2932 735973 136881.9 2931 0.12752938095958766
"1919" 735977 136882.1 2935 735976 136882.1 2934 0.11119510161714974
"1919" 735988 136882.8 2946 735987 136882.8 2945 0.11119510161714974
"1919" 735993 136883.1 2951 735992 136883.1 2950 0.11119510161714974
"1919" 736001 136883.6 2959 736000 136883.6 2958 0.11119510090982554
"1919" 736006 136883.9 2964 736005 136883.9 2963 0.11119510090982554
"1919" 736019 136884.7 2977 736018 136884.7 2976 0.11119510161714974
"1919" 736021 136884.8 2979 736020 136884.8 2978 0.11119510090982554
"1919" 736024 136885.0 2982 736023 136885.0 2981 0.11119510161714974
"1919" 736032 136885.5 2990 736031 136885.5 2989 0.1275293557985862
"1919" 736034 136885.6 2992 736033 136885.6 2991 0.11119510161714974
"1919" 736037 136885.8 2995 736036 136885.8 2994 0.11119510090982554
"1919" 736039 136885.9 2997 736038 136885.9 2996 0.11119510232447394
"1919" 736045 136886.3 3003 736044 136886.3 3002 0.06244505260741443
"1919" 736050 136886.6 3008 736049 136886.6 3007 0.11119510161714974
"1919" 736052 136886.7 3010 736051 136886.7 3009 0.11119510090982554
"1919" 736055 136886.9 3013 736054 136886.9 3012 0.11119510090982554
"1919" 736057 136887.0 3015 736056 136887.0 3014 0.11119510090982554
"1919" 736063 136887.4 3021 736062 136887.4 3020 0.11119510090982554
"1919" 736065 136887.5 3023 736064 136887.5 3022 0.11119510161714974
"1919" 736068 136887.7 3026 736067 136887.7 3025 0.11119510090982554
"1919" 736070 136887.8 3028 736069 136887.8 3027 0.11119510161714974
"1919" 736081 136888.5 3039 736080 136888.5 3038 0.11119510161714974
"1919" 736083 136888.6 3041 736082 136888.6 3040 0.11119510090982554
"1919" 736086 136888.8 3044 736085 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 20603

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 20603 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`.
"55560" 3326807 25.8 3 3326806 25.8 2
"55560" 3326848 2388.3 44 3326847 2388.3 43
"55560" 3326860 3182.6 56 3326859 3182.6 55
"55560" 3326864 3262.5 60 3326863 3262.5 59
"55560" 3326919 5428.3 115 3326918 5428.3 114
"55560" 3326928 5767.2 124 3326927 5767.2 123
"55560" 3326930 5959.5 126 3326929 5959.5 125
"55560" 3326933 6072.2 129 3326932 6072.2 128
"55560" 3326953 7328.9 149 3326952 7328.9 148
"55560" 3326988 9433.5 184 3326987 9433.5 183
"55560" 3327003 10146.9 199 3327002 10146.9 198
"55560" 3327024 11247.0 220 3327023 11247.0 219
"55560" 3327028 11334.1 224 3327027 11334.1 223
"55560" 3327078 14027.0 274 3327077 14027.0 273
"55560" 3327091 14822.5 287 3327090 14822.5 286
"55560" 3327116 16299.5 312 3327115 16299.5 311
"55560" 3327144 17487.3 340 3327143 17487.3 339
"55560" 3327182 19123.6 378 3327181 19123.6 377
"55560" 3327189 19373.1 385 3327188 19373.1 384
"55560" 3327216 20736.5 412 3327215 20736.5 411
"55560" 3327220 20821.5 416 3327219 20821.5 415
"55560" 3327252 21684.5 448 3327251 21684.5 447
"55560" 3327255 21734.4 451 3327254 21734.4 450
"55560" 3327262 22070.6 458 3327261 22070.6 457
"55560" 3327269 22632.4 465 3327268 22632.4 464
"55560" 3327276 23104.4 472 3327275 23104.4 471
"55560" 3327293 23985.8 489 3327292 23985.8 488
"55560" 3327299 24095.3 495 3327298 24095.3 494
"55560" 3327301 24162.1 497 3327300 24162.1 496
"55564" 3329309 387.4 21 3329308 387.4 20
"55564" 3329317 517.7 29 3329316 517.7 28
"55564" 3329341 1286.2 53 3329340 1286.2 52
"55564" 3329352 1651.0 64 3329351 1651.0 63
"55564" 3329355 1717.3 67 3329354 1717.3 66
"55564" 3329357 1746.4 69 3329356 1746.4 68
"55564" 3329359 1790.4 71 3329358 1790.4 70
"55564" 3329362 1896.5 74 3329361 1896.5 73
"55564" 3329365 1925.9 77 3329364 1925.9 76
"55564" 3329369 2045.2 81 3329368 2045.2 80
"55564" 3329374 2341.1 86 3329373 2341.1 85
"55564" 3329383 2582.6 95 3329382 2582.6 94
"55564" 3329387 2663.9 99 3329386 2663.9 98
"55564" 3329399 2771.7 111 3329398 2771.7 110
"55564" 3329414 2855.1 126 3329413 2855.1 125
"55564" 3329419 2992.2 131 3329418 2992.2 130
"55564" 3329427 3182.5 139 3329426 3182.5 138
"55564" 3329429 3254.5 141 3329428 3254.5 140
"55564" 3329435 3485.8 147 3329434 3485.8 146
"55564" 3329455 4000.4 167 3329454 4000.4 166
"55564" 3329475 4321.1 187 3329474 4321.1 186
expired_calendar WARNING 58

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 58 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3711 "73341"
3667 "1256"
3663 "1271"
14955 "1294"
25902 "24601"
2 "1339"
11200 "1379"
9 "1461"
25894 "1954"
3684 "44515"
3683 "44517"
41 "76307"
22251 "76308"
42 "76309"
18672 "76816"
12 "2009"
14 "2022"
14973 "2066"
11213 "2111"
18627 "2123"
14975 "2137"
15014 "62494"
7413 "2158"
7416 "2175"
7418 "2173"
22207 "2206"
7419 "2205"
14977 "2218"
18625 "2217"
22210 "2216"
18621 "2213"
25893 "2224"
11216 "2285"
14990 "13743"
7423 "2499"
7420 "2685"
14981 "2737"
18628 "2766"
18638 "47502"
22214 "2814"
14985 "2849"
14986 "2852"
18630 "2850"
11215 "2980"
18629 "2975"
7421 "2974"
22213 "2972"
15002 "47985"
22220 "31530"
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.
3426 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 159214 17 "99227" "Krekenava" "14:03:00" 159215 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.
3149 "2699" "7597158"
3248 "2699" "7597162"
3381 "2699" "7597159"
24560 "2699" "7597137"
24616 "2699" "7597170"
24731 "2699" "7597167"
24735 "2699" "7597134"
24780 "2699" "7597194"
24791 "2699" "7597131"
24809 "2699" "7597163"
24839 "2699" "7597209"
24875 "2699" "7597189"
24892 "2699" "7597195"
24918 "2699" "7597171"
24949 "2699" "7597140"
25009 "2699" "7597191"
25014 "2699" "7597133"
25038 "2699" "7597206"
25044 "2699" "7597143"
25055 "2699" "7597190"
25091 "2699" "7597204"
25183 "2699" "7597212"
25271 "2699" "7597132"
25387 "2699" "7597147"
25441 "2699" "7597142"
25470 "2699" "7597207"
25510 "2699" "7597021"
25690 "2699" "7597196"
25712 "2699" "7597144"
25767 "2699" "7597130"
25790 "2699" "7597181"
25903 "2699" "7597198"
26180 "2699" "7597184"
26310 "2699" "7597136"
26415 "2699" "7597128"
26437 "2699" "7597186"
26581 "2699" "7597211"
26619 "2699" "7597208"
26679 "2699" "7597155"
26726 "2699" "7597146"
26809 "2699" "7597141"
26867 "2699" "7597187"
26907 "2699" "7597156"
27036 "2699" "7597150"
27130 "2699" "7597182"
27248 "2699" "7597154"
27446 "2699" "7597185"
27455 "2699" "7597205"
27466 "2699" "7597145"
27520 "2699" "7597126"
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 371

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 371 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" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 66
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 75
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 77
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 78
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 79
"routes.txt" "route_short_name" "3_VLP" 84
"routes.txt" "route_short_name" "5_VLP" 290
"routes.txt" "route_short_name" "40-DT" 305
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 315
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 408
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 421
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 490
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 491
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 493
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 494
"routes.txt" "route_short_name" "2_VLP" 496
"routes.txt" "route_short_name" "94AT" 548
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 687
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 688
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 716
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 719
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 734
"routes.txt" "route_short_name" "94-DC" 812
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 886
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 887
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 888
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 890
"routes.txt" "route_short_name" "4_VLP" 894
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 947
"routes.txt" "route_short_name" "70AC" 984
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1092
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1093
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1094
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1096
"routes.txt" "route_short_name" "1A_VLP" 1098
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1163
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1183
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1192
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1275
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1280
"routes.txt" "route_short_name" "2A_VLP" 1298
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1311
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1364
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1392
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1394
"routes.txt" "route_short_name" "50AB" 1420
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1481
"routes.txt" "route_long_name" "telšiai janapolė - telšiai" 1491
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 1517
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.
26847 "3636" "45756" 2633 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
25615 "3651" "45771" 2662 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3324 "3653" "45773" 2663 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
25595 "43544" "8124133" 221092 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
24910 "43548" "8124139" 221130 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
25773 "26974" "7317014" 39709 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
25773 "26974" "7317014" 39710 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
25773 "26974" "7317014" 39725 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
26915 "18654" "3218451" 26252 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
25098 "32206" "7476584" 50586 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
25098 "32206" "7476584" 50587 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
25098 "32206" "7476584" 50588 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
25098 "32206" "7476584" 50591 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
25098 "32206" "7476584" 50596 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
29961 "3899" "46086" 2771 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
29253 "3014" "43694" 1885 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
25241 "29420" "7429613" 45713 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
25065 "4529" "46899" 3707 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26074 "4527" "47691" 5221 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28717 "4528" "47692" 5222 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
24846 "14622" "7150733" 38625 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
25831 "2821" "45017" 2557 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27508 "29615" "7432118" 46121 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
25033 "29616" "7432119" 46169 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
2124 "21886" "60_A4-01-6-241028-ba-0730" 425519 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
2003 "21885" "60_A2-02-6-060404-ab-1740" 424716 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1963 "21887" "60_A2-01-7-060404-ab3-1100" 426295 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1974 "21891" "60_A2-01-7-060404-ab2-0730" 426147 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1955 "21865" "60_A2-01-7-060404-b3a-1150" 425143 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1978 "21872" "60_A2-02-6-060404-b2a-2020" 425409 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
24772 "3339" "46943" 3708 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27337 "4710" "47249" 4439 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
27408 "4711" "47250" 4440 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
27200 "11705" "747606" 18158 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26495 "6511" "54507" 10419 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
25245 "6509" "54502" 10380 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
24508 "6513" "54509" 10443 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
25146 "29093" "7413977" 43416 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
28338 "29092" "7413975" 43372 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
24674 "5232" "48166" 5632 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
25850 "44681" "8136900" 232208 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
30230 "3514" "45563" 2580 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
29425 "3537" "45591" 2605 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
25401 "17131" "2515700" 23923 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
28863 "3574" "45644" 2606 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27283 "3617" "45754" 2632 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
26895 "15331" "2211799" 21991 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
27155 "15330" "2211797" 21978 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
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.
29471 "3645" "57657" 14476 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14475 "12152" "Jonaičiai" [55.34641499999999,21.570023]
29030 "3667" "57730" 14615 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14614 "13926" "Jonaičiai" [55.346103,21.568929]
26384 "3714" "57736" 14689 "13926" "Jonaičiai" [55.346103,21.568929] 14688 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
3145 "13808" "1228372" 20694 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20693 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
26356 "26489" "7231018" 39203 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 39202 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
26671 "35668" "7652364" 61655 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 61654 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
29787 "28435" "7339430" 41102 "64819" "Suostas" [56.32837413018391,24.713657886432735] 41101 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
29346 "28434" "7339429" 41078 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 41077 "64820" "Suostas" [56.32837775901334,24.713656830174433]
25612 "6591" "57635" 14136 "13926" "Jonaičiai" [55.346103,21.568929] 14135 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
27583 "3554" "57639" 14192 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14191 "12152" "Jonaičiai" [55.34641499999999,21.570023]
27507 "29102" "7413991" 43496 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43495 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
30051 "40377" "8016002" 99045 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 99044 "97223" "Tarvydai I" [55.328604,21.56423]
29967 "40378" "8016003" 99054 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 99053 "97223" "Tarvydai I" [55.328604,21.56423]
24905 "5353" "57622" 13981 "13926" "Jonaičiai" [55.346103,21.568929] 13980 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
25873 "54901" "8226897" 491490 "45588" "Balbieriškis" [54.524770000000004,23.885448] 491489 "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