GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-19T06:07:56+02:00,
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: 40
  • Blocks: 0
  • Routes: 1368
  • Shapes: 3696
  • Stops: 13523
  • Trips: 23265

Specification Compliance report

119942 notices reported (0 errors, 119909 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 39

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`.
16 "18256" 46 "18349" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
20 "18282" 205 "18374" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
43 "18284" 207 "18350" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
51 "18293" 294 "18382" "M-151" "Kaunas-Ramučiai" 3 "14"
190 "18329" 336 "6209" "M1" "Alytus - Geniai" 3 "48"
118 "18377" 370 "18279" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
2 "18253" 400 "18346" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
295 "18352" 404 "18260" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
204 "18250" 407 "18383" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
393 "18273" 418 "18378" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
56 "18354" 561 "18261" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
558 "18277" 565 "18366" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
374 "18275" 566 "18373" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
41 "18286" 598 "18385" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
468 "18246" 641 "18380" "M-120" "Karmėlava-Ramučiai" 3 "14"
200 "18353" 699 "18264" "M-156" "Kaunas - Neveronys" 3 "14"
390 "18367" 704 "18269" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
184 "18270" 712 "18357" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
701 "18296" 714 "18347" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
213 "18386" 865 "18257" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
571 "18381" 866 "18292" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
732 "18362" 867 "18266" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
715 "18351" 868 "18301" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
726 "18365" 884 "18235" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
716 "18358" 885 "18307" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
221 "18361" 891 "18263" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
560 "18232" 923 "18369" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
730 "16052" 926 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
45 "18370" 1046 "18241" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
956 "18356" 1054 "18304" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
570 "18265" 1055 "18364" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
638 "18348" 1207 "18297" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
727 "18372" 1208 "18276" "M-146" "Kaunas-Žiegždriai" 3 "14"
180 "18308" 1226 "18363" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
557 "18272" 1227 "18371" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
94 "18368" 1229 "18274" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
1233 "18262" 1234 "18359" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
402 "3645" 1281 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
405 "18240" 1299 "18379" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4148

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 4148 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" 507605 29882.7 878 507604 29882.7 877 0.12791084993239907
"2328" 416503 35929.8 642 416502 35929.8 641 0.11119510090982554
"3659" 502655 49657.5 1177 502654 49657.5 1176 0.12791084993239907
"2369" 401843 63265.5 1261 401842 63265.5 1260 0.11119510090982554
"2385" 611413 69168.3 1771 611412 69168.3 1770 0.06441976500794575
"28733" 2280009 71509.2 1569 2280008 71509.2 1568 0.06441976500794575
"1919" 776929 136875.8 2842 776928 136875.8 2841 0.12752942403551987
"1919" 776932 136876.0 2845 776931 136876.0 2844 0.11119510090982554
"1919" 776939 136876.5 2852 776938 136876.5 2851 0.11119510232447394
"1919" 776942 136876.7 2855 776941 136876.7 2854 0.11119510161714974
"1919" 776945 136876.9 2858 776944 136876.9 2857 0.12752941555597483
"1919" 776954 136877.5 2867 776953 136877.5 2866 0.11119510090982554
"1919" 776957 136877.7 2870 776956 136877.7 2869 0.11119510161714974
"1919" 776960 136877.9 2873 776959 136877.9 2872 0.11119510090982554
"1919" 776967 136878.4 2880 776966 136878.4 2879 0.11119510090982554
"1919" 776970 136878.6 2883 776969 136878.6 2882 0.11119510161714974
"1919" 776979 136879.2 2892 776978 136879.2 2891 0.11119510090982554
"1919" 776982 136879.4 2895 776981 136879.4 2894 0.12752939825777979
"1919" 776985 136879.6 2898 776984 136879.6 2897 0.11119510161714974
"1919" 776994 136880.2 2907 776993 136880.2 2906 0.11119510161714974
"1919" 776998 136880.5 2911 776997 136880.5 2910 0.06244513630731429
"1919" 777004 136880.9 2917 777003 136880.9 2916 0.11119510161714974
"1919" 777007 136881.1 2920 777006 136881.1 2919 0.11119510090982554
"1919" 777010 136881.3 2923 777009 136881.3 2922 0.11119510090982554
"1919" 777019 136881.9 2932 777018 136881.9 2931 0.12752938095958766
"1919" 777022 136882.1 2935 777021 136882.1 2934 0.11119510161714974
"1919" 777033 136882.8 2946 777032 136882.8 2945 0.11119510161714974
"1919" 777038 136883.1 2951 777037 136883.1 2950 0.11119510161714974
"1919" 777046 136883.6 2959 777045 136883.6 2958 0.11119510090982554
"1919" 777051 136883.9 2964 777050 136883.9 2963 0.11119510090982554
"1919" 777064 136884.7 2977 777063 136884.7 2976 0.11119510161714974
"1919" 777066 136884.8 2979 777065 136884.8 2978 0.11119510090982554
"1919" 777069 136885.0 2982 777068 136885.0 2981 0.11119510161714974
"1919" 777077 136885.5 2990 777076 136885.5 2989 0.1275293557985862
"1919" 777079 136885.6 2992 777078 136885.6 2991 0.11119510161714974
"1919" 777082 136885.8 2995 777081 136885.8 2994 0.11119510090982554
"1919" 777084 136885.9 2997 777083 136885.9 2996 0.11119510232447394
"1919" 777090 136886.3 3003 777089 136886.3 3002 0.06244505260741443
"1919" 777095 136886.6 3008 777094 136886.6 3007 0.11119510161714974
"1919" 777097 136886.7 3010 777096 136886.7 3009 0.11119510090982554
"1919" 777100 136886.9 3013 777099 136886.9 3012 0.11119510090982554
"1919" 777102 136887.0 3015 777101 136887.0 3014 0.11119510090982554
"1919" 777108 136887.4 3021 777107 136887.4 3020 0.11119510090982554
"1919" 777110 136887.5 3023 777109 136887.5 3022 0.11119510161714974
"1919" 777113 136887.7 3026 777112 136887.7 3025 0.11119510090982554
"1919" 777115 136887.8 3028 777114 136887.8 3027 0.11119510161714974
"1919" 777126 136888.5 3039 777125 136888.5 3038 0.11119510161714974
"1919" 777128 136888.6 3041 777127 136888.6 3040 0.11119510090982554
"1919" 777131 136888.8 3044 777130 136888.8 3043 0.11119510090982554
"1919" 777140 136889.4 3053 777139 136889.4 3052 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 14424

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 14424 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`.
"46602" 3109266 1807.0 30 3109265 1807.0 29
"46602" 3109296 3452.5 60 3109295 3452.5 59
"46602" 3109313 4217.0 77 3109312 4217.0 76
"46602" 3109328 5516.2 92 3109327 5516.2 91
"46602" 3109358 7228.2 122 3109357 7228.2 121
"46602" 3109368 7795.1 132 3109367 7795.1 131
"46602" 3109398 9320.6 162 3109397 9320.6 161
"46602" 3109407 10750.3 171 3109406 10750.3 170
"46602" 3109432 15382.3 196 3109431 15382.3 195
"46602" 3109462 20959.2 226 3109461 20959.2 225
"46602" 3109490 22063.0 254 3109489 22063.0 253
"46602" 3109508 27498.4 272 3109507 27498.4 271
"46602" 3109516 28586.5 280 3109515 28586.5 279
"46602" 3109524 28736.2 288 3109523 28736.2 287
"46602" 3109528 28794.0 292 3109527 28794.0 291
"46602" 3109533 29159.3 297 3109532 29159.3 296
"46602" 3109543 29959.9 307 3109542 29959.9 306
"46602" 3109549 30754.4 313 3109548 30754.4 312
"46602" 3109555 31212.6 319 3109554 31212.6 318
"46602" 3109576 34332.8 340 3109575 34332.8 339
"46602" 3109609 37879.5 373 3109608 37879.5 372
"46602" 3109624 40204.0 388 3109623 40204.0 387
"46602" 3109644 42614.9 408 3109643 42614.9 407
"46602" 3109657 43598.2 421 3109656 43598.2 420
"46602" 3109669 44049.2 433 3109668 44049.2 432
"46602" 3109685 45566.6 449 3109684 45566.6 448
"46603" 3109699 2322.8 14 3109698 2322.8 13
"46603" 3109701 4635.2 16 3109700 4635.2 15
"46603" 3109709 7616.1 24 3109708 7616.1 23
"46603" 3109722 9283.4 37 3109721 9283.4 36
"46603" 3109733 10014.8 48 3109732 10014.8 47
"46603" 3109751 11300.5 66 3109750 11300.5 65
"46603" 3109757 12462.6 72 3109756 12462.6 71
"46603" 3109763 13513.8 78 3109762 13513.8 77
"46603" 3109769 14163.0 84 3109768 14163.0 83
"46603" 3109776 15426.7 91 3109775 15426.7 90
"46603" 3109783 16282.2 98 3109782 16282.2 97
"46603" 3109793 17762.3 108 3109792 17762.3 107
"46603" 3109804 19202.3 119 3109803 19202.3 118
"46603" 3109826 22036.2 141 3109825 22036.2 140
"46603" 3109839 23211.6 154 3109838 23211.6 153
"46603" 3109862 24339.5 177 3109861 24339.5 176
"46603" 3109880 26197.7 195 3109879 26197.7 194
"46603" 3109893 27133.3 208 3109892 27133.3 207
"46603" 3109902 27821.7 217 3109901 27821.7 216
"46603" 3109909 28241.8 224 3109908 28241.8 223
"46603" 3109915 28806.3 230 3109914 28806.3 229
"46603" 3109936 29525.8 251 3109935 29525.8 250
"46603" 3109974 31130.7 289 3109973 31130.7 288
"46603" 3109984 31762.2 299 3109983 31762.2 298
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"
1613 "73341"
3075 "2499"
1557 "1256"
1553 "1271"
6239 "1294"
10901 "24602"
2 "1339"
3072 "2685"
10898 "12709"
4672 "1379"
6263 "2737"
7804 "2766"
1572 "60347"
8 "1461"
7817 "47502"
9387 "2814"
6267 "2849"
6268 "2852"
7806 "2850"
4687 "2980"
7805 "2975"
3073 "2974"
9386 "2972"
7831 "60928"
7828 "60959"
6278 "47985"
10894 "1954"
3093 "60890"
9394 "20239"
10902 "20237"
10900 "17222"
9392 "31530"
7812 "17343"
23 "43774"
10889 "678"
6238 "973"
72 "76307"
9442 "76308"
73 "76309"
4830 "65889"
10896 "3000"
3074 "3012"
6411 "65904"
10903 "13033"
1563 "13105"
7882 "76816"
11 "2009"
13 "2022"
7822 "48071"
fast_travel_between_consecutive_stops WARNING 2

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.
17827 "8093432" "17272" 196.9887428340989 3.283145713901648 242109 17 "99227" "Krekenava" "14:03:00" 242110 18 "99243" "Rabikiai" "14:03:00"
17621 "8091136" "17220" 196.9887428340989 3.283145713901648 223344 17 "98468" "Krekenava" "14:03:00" 223345 18 "98476" "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.
570 "2699" "7597169"
6151 "2699" "7597186"
6152 "2699" "7597187"
6153 "2699" "7597188"
6156 "2699" "7597189"
6158 "2699" "7597140"
6159 "2699" "7597141"
6160 "2699" "7597142"
6161 "2699" "7597143"
6162 "2699" "7597144"
6163 "2699" "7597145"
6164 "2699" "7597146"
6189 "2699" "7597170"
6190 "2699" "7597171"
6191 "2699" "7597172"
6192 "2699" "7597173"
6352 "2699" "7597147"
6400 "2699" "7597148"
6456 "2699" "7597149"
6535 "2699" "7597190"
6536 "2699" "7597191"
6537 "2699" "7597192"
6538 "2699" "7597193"
6539 "2699" "7597194"
6540 "2699" "7597195"
6581 "2699" "7597196"
6582 "2699" "7597197"
6583 "2699" "7597198"
6675 "2699" "7597199"
6677 "2699" "7597200"
6678 "2699" "7597201"
6679 "2699" "7597202"
6763 "2699" "7597203"
6765 "2699" "7597204"
6893 "2699" "7597205"
6894 "2699" "7597206"
6895 "2699" "7597207"
6896 "2699" "7597208"
6965 "2699" "7597209"
6966 "2699" "7597210"
6967 "2699" "7597211"
6968 "2699" "7597212"
7128 "2699" "7597021"
7304 "2699" "7597128"
7305 "2699" "7597129"
7306 "2699" "7597130"
7307 "2699" "7597131"
7308 "2699" "7597132"
7354 "2699" "7597174"
7355 "2699" "7597180"
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 "41979" 1
3 "41979" 2
4 "41979" 3
5 "41979" 4
6 "41980" 1
7 "41980" 2
8 "41980" 3
9 "41980" 4
10 "41981" 1
11 "41981" 2
12 "41981" 3
13 "41981" 4
14 "41982" 1
15 "41982" 2
16 "41982" 3
17 "41982" 4
18 "42101" 1
19 "42101" 2
20 "42101" 4
21 "42101" 5
22 "42101" 6
23 "42103" 1
24 "42103" 2
25 "42103" 4
26 "42103" 5
27 "42103" 6
28 "42105" 1
29 "42105" 2
30 "42105" 4
31 "42105" 5
32 "42203" 1
33 "42203" 2
34 "42203" 3
35 "42203" 4
36 "42203" 5
37 "42203" 6
38 "42203" 7
39 "42203" 8
40 "42203" 9
41 "42203" 10
42 "42203" 11
43 "42203" 12
44 "42203" 13
45 "42203" 14
46 "42203" 15
47 "42203" 16
48 "42203" 17
49 "42203" 18
50 "42203" 19
51 "42206" 1
mixed_case_recommended_field WARNING 1036

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 1036 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\"" 40
"routes.txt" "route_short_name" "40-DT" 165
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 175
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 176
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 178
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 272
"routes.txt" "route_short_name" "1A_VLP" 316
"routes.txt" "route_short_name" "523_VLP" 318
"routes.txt" "route_short_name" "518_VLP" 335
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 357
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 361
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 363
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 387
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 395
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 396
"routes.txt" "route_short_name" "2_VLP" 489
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 533
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 567
"routes.txt" "route_long_name" "JONAVA-KULVA" 568
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 581
"routes.txt" "route_long_name" "JONAVA-RUKLA" 698
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 700
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 713
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 860
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 880
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 936
"routes.txt" "route_short_name" "2A_VLP" 983
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1014
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1026
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 1028
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1051
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1103
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1119
"routes.txt" "route_short_name" "50AB" 1124
"routes.txt" "route_short_name" "1_VLP" 1151
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1153
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1192
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1196
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1198
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1209
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1213
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1221
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1278
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1290
"routes.txt" "route_short_name" "4_VLP" 1322
"routes.txt" "route_short_name" "787_VLP" 1324
"routes.txt" "route_short_name" "5_VLP" 1325
"routes.txt" "route_short_name" "3_VLP" 1330
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1342
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1352
stop_too_far_from_shape WARNING 60

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.

Only the first 50 of 60 affected records are displayed below.

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.
18803 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18804 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18218 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9857 "43544" "8124133" 394330 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
8959 "43548" "8124139" 394368 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
7301 "26974" "7317010" 36673 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
7301 "26974" "7317010" 36674 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
7301 "26974" "7317010" 36689 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
17247 "29329" "7418310" 44107 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
2335 "29328" "7418309" 44084 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5791 "37814" "7870743" 73757 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
2816 "6003" "52856" 6188 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2785 "6005" "52858" 6197 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2798 "6004" "52857" 6193 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2731 "6007" "52859" 6204 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2803 "6008" "52860" 6209 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
204 "18654" "3218451" 22338 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
7601 "32206" "7476583" 50002 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
7601 "32206" "7476583" 50003 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
7601 "32206" "7476583" 50004 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
7601 "32206" "7476583" 50007 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
7601 "32206" "7476583" 50012 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
18488 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18541 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
18708 "37872" "7870674" 72361 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
16931 "29420" "7429613" 44644 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18560 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18800 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18533 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2471 "14622" "7150732" 35747 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
18551 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1178 "29615" "7432118" 45132 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
15758 "29616" "7432119" 45180 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1187 "21886" "7847085" 68973 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1112 "21885" "7847081" 68926 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2089 "21887" "8128791" 395592 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1207 "21891" "7847352" 71426 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1864 "21865" "8128916" 397501 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1812 "21872" "8128828" 396161 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
18871 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
263 "45952" "8148145" 428357 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
2599 "11705" "747606" 14714 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2998 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2996 "6509" "54502" 8735 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3000 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
378 "29093" "7413976" 41910 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
377 "29092" "7413975" 41880 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
3525 "5232" "56646" 8900 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
13349 "27242" "7322653" 38058 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13346 "27240" "7322650" 38012 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
stops_match_shape_out_of_order WARNING 13

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.
3293 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
3266 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
3011 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
18406 "13808" "1228372" 16445 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16444 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
5730 "17480" "2657524" 21021 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21020 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
17570 "28435" "7339430" 39430 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39429 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
17568 "28434" "7339429" 39406 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39405 "64820" "Suostas" [56.32837775901334,24.713656830174433]
3263 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
3005 "3554" "57640" 10653 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10652 "12152" "Jonaičiai" [55.34641499999999,21.570023]
14653 "29102" "7413991" 42004 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42003 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
7353 "40377" "8016002" 105498 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 105497 "97223" "Tarvydai I" [55.328604,21.56423]
22734 "40378" "8016003" 105507 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 105506 "97223" "Tarvydai I" [55.328604,21.56423]
3498 "5353" "57618" 10403 "13926" "Jonaičiai" [55.346103,21.568929] 10402 "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