GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-22T06:07:59+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: 39
  • Blocks: 0
  • Routes: 1338
  • Shapes: 3556
  • Stops: 13294
  • Trips: 23252

Specification Compliance report

120070 notices reported (0 errors, 120037 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`.
7 "18256" 48 "18349" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
41 "18284" 206 "18350" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
20 "18282" 207 "18374" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
51 "18293" 290 "18382" "M-151" "Kaunas-Ramučiai" 3 "14"
189 "18329" 330 "6209" "M1" "Alytus - Geniai" 3 "48"
116 "18377" 355 "18279" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
12 "18253" 385 "18346" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
391 "18273" 392 "18378" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
293 "18352" 399 "18260" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
205 "18250" 402 "18383" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
54 "18354" 545 "18261" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
369 "18275" 548 "18373" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
542 "18277" 553 "18366" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
39 "18286" 584 "18385" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
400 "18246" 623 "18380" "M-120" "Karmėlava-Ramučiai" 3 "14"
199 "18353" 686 "18264" "M-156" "Kaunas - Neveronys" 3 "14"
390 "18367" 688 "18269" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
173 "18270" 696 "18357" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
675 "18296" 700 "18347" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
214 "18386" 830 "18257" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
551 "18381" 831 "18292" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
713 "18362" 832 "18266" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
701 "18351" 833 "18301" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
704 "18365" 866 "18235" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
220 "18361" 867 "18263" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
702 "18358" 868 "18307" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
544 "18232" 871 "18369" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
711 "16052" 904 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
47 "18370" 1022 "18241" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
557 "18265" 1031 "18364" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
928 "18356" 1032 "18304" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
618 "18348" 1167 "18297" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
697 "18372" 1168 "18276" "M-146" "Kaunas-Žiegždriai" 3 "14"
541 "18272" 1201 "18371" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
49 "18368" 1203 "18274" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
166 "18308" 1204 "18363" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
1206 "18262" 1208 "18359" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
389 "3645" 1253 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
394 "18240" 1270 "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" 505115 29882.7 878 505114 29882.7 877 0.12791084993239907
"2328" 414013 35929.8 642 414012 35929.8 641 0.11119510090982554
"3659" 500165 49657.5 1177 500164 49657.5 1176 0.12791084993239907
"2369" 399353 63265.5 1261 399352 63265.5 1260 0.11119510090982554
"2385" 608923 69168.3 1771 608922 69168.3 1770 0.06441976500794575
"28733" 2277286 71509.2 1569 2277285 71509.2 1568 0.06441976500794575
"1919" 774439 136875.8 2842 774438 136875.8 2841 0.12752942403551987
"1919" 774442 136876.0 2845 774441 136876.0 2844 0.11119510090982554
"1919" 774449 136876.5 2852 774448 136876.5 2851 0.11119510232447394
"1919" 774452 136876.7 2855 774451 136876.7 2854 0.11119510161714974
"1919" 774455 136876.9 2858 774454 136876.9 2857 0.12752941555597483
"1919" 774464 136877.5 2867 774463 136877.5 2866 0.11119510090982554
"1919" 774467 136877.7 2870 774466 136877.7 2869 0.11119510161714974
"1919" 774470 136877.9 2873 774469 136877.9 2872 0.11119510090982554
"1919" 774477 136878.4 2880 774476 136878.4 2879 0.11119510090982554
"1919" 774480 136878.6 2883 774479 136878.6 2882 0.11119510161714974
"1919" 774489 136879.2 2892 774488 136879.2 2891 0.11119510090982554
"1919" 774492 136879.4 2895 774491 136879.4 2894 0.12752939825777979
"1919" 774495 136879.6 2898 774494 136879.6 2897 0.11119510161714974
"1919" 774504 136880.2 2907 774503 136880.2 2906 0.11119510161714974
"1919" 774508 136880.5 2911 774507 136880.5 2910 0.06244513630731429
"1919" 774514 136880.9 2917 774513 136880.9 2916 0.11119510161714974
"1919" 774517 136881.1 2920 774516 136881.1 2919 0.11119510090982554
"1919" 774520 136881.3 2923 774519 136881.3 2922 0.11119510090982554
"1919" 774529 136881.9 2932 774528 136881.9 2931 0.12752938095958766
"1919" 774532 136882.1 2935 774531 136882.1 2934 0.11119510161714974
"1919" 774543 136882.8 2946 774542 136882.8 2945 0.11119510161714974
"1919" 774548 136883.1 2951 774547 136883.1 2950 0.11119510161714974
"1919" 774556 136883.6 2959 774555 136883.6 2958 0.11119510090982554
"1919" 774561 136883.9 2964 774560 136883.9 2963 0.11119510090982554
"1919" 774574 136884.7 2977 774573 136884.7 2976 0.11119510161714974
"1919" 774576 136884.8 2979 774575 136884.8 2978 0.11119510090982554
"1919" 774579 136885.0 2982 774578 136885.0 2981 0.11119510161714974
"1919" 774587 136885.5 2990 774586 136885.5 2989 0.1275293557985862
"1919" 774589 136885.6 2992 774588 136885.6 2991 0.11119510161714974
"1919" 774592 136885.8 2995 774591 136885.8 2994 0.11119510090982554
"1919" 774594 136885.9 2997 774593 136885.9 2996 0.11119510232447394
"1919" 774600 136886.3 3003 774599 136886.3 3002 0.06244505260741443
"1919" 774605 136886.6 3008 774604 136886.6 3007 0.11119510161714974
"1919" 774607 136886.7 3010 774606 136886.7 3009 0.11119510090982554
"1919" 774610 136886.9 3013 774609 136886.9 3012 0.11119510090982554
"1919" 774612 136887.0 3015 774611 136887.0 3014 0.11119510090982554
"1919" 774618 136887.4 3021 774617 136887.4 3020 0.11119510090982554
"1919" 774620 136887.5 3023 774619 136887.5 3022 0.11119510161714974
"1919" 774623 136887.7 3026 774622 136887.7 3025 0.11119510090982554
"1919" 774625 136887.8 3028 774624 136887.8 3027 0.11119510161714974
"1919" 774636 136888.5 3039 774635 136888.5 3038 0.11119510161714974
"1919" 774638 136888.6 3041 774637 136888.6 3040 0.11119510090982554
"1919" 774641 136888.8 3044 774640 136888.8 3043 0.11119510090982554
"1919" 774650 136889.4 3053 774649 136889.4 3052 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 14433

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 14433 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" 3099797 1807.0 30 3099796 1807.0 29
"46602" 3099827 3452.5 60 3099826 3452.5 59
"46602" 3099844 4217.0 77 3099843 4217.0 76
"46602" 3099859 5516.2 92 3099858 5516.2 91
"46602" 3099889 7228.2 122 3099888 7228.2 121
"46602" 3099899 7795.1 132 3099898 7795.1 131
"46602" 3099929 9320.6 162 3099928 9320.6 161
"46602" 3099938 10750.3 171 3099937 10750.3 170
"46602" 3099963 15382.3 196 3099962 15382.3 195
"46602" 3099993 20959.2 226 3099992 20959.2 225
"46602" 3100021 22063.0 254 3100020 22063.0 253
"46602" 3100039 27498.4 272 3100038 27498.4 271
"46602" 3100047 28586.5 280 3100046 28586.5 279
"46602" 3100055 28736.2 288 3100054 28736.2 287
"46602" 3100059 28794.0 292 3100058 28794.0 291
"46602" 3100064 29159.3 297 3100063 29159.3 296
"46602" 3100074 29959.9 307 3100073 29959.9 306
"46602" 3100080 30754.4 313 3100079 30754.4 312
"46602" 3100086 31212.6 319 3100085 31212.6 318
"46602" 3100107 34332.8 340 3100106 34332.8 339
"46602" 3100140 37879.5 373 3100139 37879.5 372
"46602" 3100155 40204.0 388 3100154 40204.0 387
"46602" 3100175 42614.9 408 3100174 42614.9 407
"46602" 3100188 43598.2 421 3100187 43598.2 420
"46602" 3100200 44049.2 433 3100199 44049.2 432
"46602" 3100216 45566.6 449 3100215 45566.6 448
"46603" 3100230 2322.8 14 3100229 2322.8 13
"46603" 3100232 4635.2 16 3100231 4635.2 15
"46603" 3100240 7616.1 24 3100239 7616.1 23
"46603" 3100253 9283.4 37 3100252 9283.4 36
"46603" 3100264 10014.8 48 3100263 10014.8 47
"46603" 3100282 11300.5 66 3100281 11300.5 65
"46603" 3100288 12462.6 72 3100287 12462.6 71
"46603" 3100294 13513.8 78 3100293 13513.8 77
"46603" 3100300 14163.0 84 3100299 14163.0 83
"46603" 3100307 15426.7 91 3100306 15426.7 90
"46603" 3100314 16282.2 98 3100313 16282.2 97
"46603" 3100324 17762.3 108 3100323 17762.3 107
"46603" 3100335 19202.3 119 3100334 19202.3 118
"46603" 3100357 22036.2 141 3100356 22036.2 140
"46603" 3100370 23211.6 154 3100369 23211.6 153
"46603" 3100393 24339.5 177 3100392 24339.5 176
"46603" 3100411 26197.7 195 3100410 26197.7 194
"46603" 3100424 27133.3 208 3100423 27133.3 207
"46603" 3100433 27821.7 217 3100432 27821.7 216
"46603" 3100440 28241.8 224 3100439 28241.8 223
"46603" 3100446 28806.3 230 3100445 28806.3 229
"46603" 3100467 29525.8 251 3100466 29525.8 250
"46603" 3100505 31130.7 289 3100504 31130.7 288
"46603" 3100515 31762.2 299 3100514 31762.2 298
expired_calendar WARNING 189

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 189 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
7943 "75970"
1716 "75971"
9493 "75972"
9494 "75973"
4825 "75976"
7939 "75960"
176 "75990"
1718 "75993"
1719 "75994"
4827 "75997"
4828 "75998"
6390 "75980"
7944 "75983"
11006 "75985"
1717 "75987"
1603 "73341"
10997 "75915"
3218 "75928"
9489 "75932"
6382 "75934"
3221 "75936"
3216 "75916"
4820 "75917"
166 "75918"
4821 "75922"
6384 "75953"
1715 "75956"
168 "75940"
169 "75941"
7936 "75942"
4823 "75943"
10998 "75945"
11000 "75948"
3058 "2499"
1546 "1256"
1542 "1271"
6201 "1294"
10832 "24602"
2 "1339"
3055 "2685"
10829 "12709"
4646 "1379"
6225 "2737"
7751 "2766"
1561 "60347"
8 "1461"
7764 "47502"
9319 "2814"
6229 "2849"
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.
15535 "8093432" "17272" 196.9887428340989 3.283145713901648 239242 17 "99227" "Krekenava" "14:03:00" 239243 18 "99243" "Rabikiai" "14:03:00"
15287 "8091136" "17220" 196.9887428340989 3.283145713901648 220932 17 "98468" "Krekenava" "14:03:00" 220933 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.
591 "2699" "7597169"
6680 "2699" "7597186"
6681 "2699" "7597187"
6683 "2699" "7597140"
6684 "2699" "7597141"
6685 "2699" "7597142"
6686 "2699" "7597143"
6687 "2699" "7597144"
6688 "2699" "7597145"
6689 "2699" "7597146"
6712 "2699" "7597170"
6713 "2699" "7597171"
6714 "2699" "7597172"
6715 "2699" "7597173"
6886 "2699" "7597147"
6931 "2699" "7597148"
6932 "2699" "7597149"
7041 "2699" "7597188"
7044 "2699" "7597189"
7071 "2699" "7597190"
7072 "2699" "7597191"
7073 "2699" "7597192"
7074 "2699" "7597193"
7075 "2699" "7597194"
7076 "2699" "7597195"
7118 "2699" "7597196"
7119 "2699" "7597197"
7120 "2699" "7597198"
7213 "2699" "7597199"
7215 "2699" "7597200"
7216 "2699" "7597201"
7217 "2699" "7597202"
7303 "2699" "7597203"
7305 "2699" "7597204"
7431 "2699" "7597205"
7432 "2699" "7597206"
7433 "2699" "7597207"
7434 "2699" "7597208"
7509 "2699" "7597209"
7510 "2699" "7597210"
7511 "2699" "7597211"
7512 "2699" "7597212"
7676 "2699" "7597021"
7850 "2699" "7597128"
7851 "2699" "7597129"
7852 "2699" "7597130"
7853 "2699" "7597131"
7854 "2699" "7597132"
7904 "2699" "7597174"
7905 "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 1034

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 1034 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\"" 39
"routes.txt" "route_short_name" "40-DT" 163
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 179
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 180
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 181
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 237
"routes.txt" "route_short_name" "1A_VLP" 304
"routes.txt" "route_short_name" "523_VLP" 324
"routes.txt" "route_short_name" "518_VLP" 329
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 356
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 357
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 360
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 381
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 386
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 396
"routes.txt" "route_short_name" "2_VLP" 469
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 524
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 554
"routes.txt" "route_long_name" "JONAVA-KULVA" 555
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 563
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 673
"routes.txt" "route_long_name" "JONAVA-RUKLA" 683
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 703
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 841
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 859
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 893
"routes.txt" "route_short_name" "2A_VLP" 967
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 994
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 998
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 1005
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1029
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1083
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1096
"routes.txt" "route_short_name" "50AB" 1101
"routes.txt" "route_short_name" "1_VLP" 1116
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1131
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1176
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1179
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1180
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1183
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1187
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1190
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1250
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1261
"routes.txt" "route_short_name" "3_VLP" 1288
"routes.txt" "route_short_name" "4_VLP" 1290
"routes.txt" "route_short_name" "5_VLP" 1292
"routes.txt" "route_short_name" "787_VLP" 1304
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1317
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1322
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.
18824 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18825 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18464 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
10758 "43544" "8124133" 389320 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
10763 "43548" "8124139" 389358 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
7847 "26974" "7317010" 36606 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
7847 "26974" "7317010" 36607 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
7847 "26974" "7317010" 36622 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
17879 "29329" "7418310" 44040 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
16258 "29328" "7418309" 44017 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
6597 "37814" "7870743" 73690 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
3628 "6003" "52856" 6188 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
3597 "6005" "52858" 6197 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
3610 "6004" "52857" 6193 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
3543 "6007" "52859" 6204 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
3615 "6008" "52860" 6209 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
158 "18654" "3218451" 22338 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
8417 "32206" "7476583" 49935 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
8417 "32206" "7476583" 49936 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
8417 "32206" "7476583" 49937 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
8417 "32206" "7476583" 49940 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
8417 "32206" "7476583" 49945 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
18508 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18793 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
18669 "37872" "7870674" 72294 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
17545 "29420" "7429613" 44577 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18812 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18821 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18785 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3065 "14622" "7150732" 35680 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
18803 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1417 "29615" "7432118" 45065 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
15806 "29616" "7432119" 45113 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1266 "21886" "7847299" 70918 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1292 "21885" "7846965" 67716 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2686 "21887" "8128791" 390582 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1446 "21891" "7847352" 71359 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2469 "21865" "8128916" 392491 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1341 "21872" "7847076" 68754 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
19122 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
352 "45952" "8148145" 404516 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
3414 "11705" "747606" 14714 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3638 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3355 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3640 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
68 "29093" "7413976" 41843 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
67 "29092" "7413975" 41813 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
4494 "5232" "56646" 8900 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
14489 "27242" "7322653" 37991 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
14486 "27240" "7322650" 37945 "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.
4106 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
4082 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
3793 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
18402 "13808" "1228372" 16445 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16444 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
6518 "17480" "2657524" 21021 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21020 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
18026 "28435" "7339430" 39363 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39362 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
18024 "28434" "7339429" 39339 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39338 "64820" "Suostas" [56.32837775901334,24.713656830174433]
4079 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
3645 "3554" "57640" 10653 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10652 "12152" "Jonaičiai" [55.34641499999999,21.570023]
13569 "29102" "7413991" 41937 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 41936 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
7903 "40377" "8016002" 105431 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 105430 "97223" "Tarvydai I" [55.328604,21.56423]
22693 "40378" "8016003" 105440 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 105439 "97223" "Tarvydai I" [55.328604,21.56423]
4301 "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