GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-18T06:07:24+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: 1369
  • Shapes: 3699
  • Stops: 13523
  • Trips: 23281

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`.
106 "18349" 110 "18256" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
59 "18282" 175 "18374" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
91 "18284" 303 "18350" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
264 "18329" 327 "6209" "M1" "Alytus - Geniai" 3 "48"
119 "18293" 332 "18382" "M-151" "Kaunas-Ramučiai" 3 "14"
285 "18250" 360 "18383" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
330 "18352" 407 "18260" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
140 "18377" 434 "18279" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
405 "18273" 446 "18378" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
115 "18253" 464 "18346" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
444 "18275" 533 "18373" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
8 "18354" 627 "18261" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
528 "18277" 637 "18366" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
108 "18286" 641 "18385" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
455 "18246" 659 "18380" "M-120" "Karmėlava-Ramučiai" 3 "14"
235 "18270" 691 "18357" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
462 "18367" 746 "18269" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
164 "18353" 750 "18264" "M-156" "Kaunas - Neveronys" 3 "14"
696 "18347" 792 "18296" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
604 "18381" 863 "18292" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
797 "18358" 864 "18307" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
698 "18365" 915 "18235" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
692 "16052" 917 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
174 "18361" 924 "18263" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
613 "18232" 925 "18369" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
695 "18351" 950 "18301" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
296 "18386" 951 "18257" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
781 "18362" 953 "18266" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
121 "18370" 1067 "18241" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
597 "18265" 1117 "18364" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
853 "18356" 1126 "18304" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
592 "18272" 1188 "18371" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
697 "18372" 1197 "18276" "M-146" "Kaunas-Žiegždriai" 3 "14"
233 "18308" 1258 "18363" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
466 "3645" 1267 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
658 "18348" 1300 "18297" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
125 "18368" 1302 "18274" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
1244 "18262" 1309 "18359" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
406 "18240" 1343 "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" 507797 29882.7 878 507796 29882.7 877 0.12791084993239907
"2328" 416695 35929.8 642 416694 35929.8 641 0.11119510090982554
"3659" 502847 49657.5 1177 502846 49657.5 1176 0.12791084993239907
"2369" 402035 63265.5 1261 402034 63265.5 1260 0.11119510090982554
"2385" 611605 69168.3 1771 611604 69168.3 1770 0.06441976500794575
"28733" 2280332 71509.2 1569 2280331 71509.2 1568 0.06441976500794575
"1919" 777121 136875.8 2842 777120 136875.8 2841 0.12752942403551987
"1919" 777124 136876.0 2845 777123 136876.0 2844 0.11119510090982554
"1919" 777131 136876.5 2852 777130 136876.5 2851 0.11119510232447394
"1919" 777134 136876.7 2855 777133 136876.7 2854 0.11119510161714974
"1919" 777137 136876.9 2858 777136 136876.9 2857 0.12752941555597483
"1919" 777146 136877.5 2867 777145 136877.5 2866 0.11119510090982554
"1919" 777149 136877.7 2870 777148 136877.7 2869 0.11119510161714974
"1919" 777152 136877.9 2873 777151 136877.9 2872 0.11119510090982554
"1919" 777159 136878.4 2880 777158 136878.4 2879 0.11119510090982554
"1919" 777162 136878.6 2883 777161 136878.6 2882 0.11119510161714974
"1919" 777171 136879.2 2892 777170 136879.2 2891 0.11119510090982554
"1919" 777174 136879.4 2895 777173 136879.4 2894 0.12752939825777979
"1919" 777177 136879.6 2898 777176 136879.6 2897 0.11119510161714974
"1919" 777186 136880.2 2907 777185 136880.2 2906 0.11119510161714974
"1919" 777190 136880.5 2911 777189 136880.5 2910 0.06244513630731429
"1919" 777196 136880.9 2917 777195 136880.9 2916 0.11119510161714974
"1919" 777199 136881.1 2920 777198 136881.1 2919 0.11119510090982554
"1919" 777202 136881.3 2923 777201 136881.3 2922 0.11119510090982554
"1919" 777211 136881.9 2932 777210 136881.9 2931 0.12752938095958766
"1919" 777214 136882.1 2935 777213 136882.1 2934 0.11119510161714974
"1919" 777225 136882.8 2946 777224 136882.8 2945 0.11119510161714974
"1919" 777230 136883.1 2951 777229 136883.1 2950 0.11119510161714974
"1919" 777238 136883.6 2959 777237 136883.6 2958 0.11119510090982554
"1919" 777243 136883.9 2964 777242 136883.9 2963 0.11119510090982554
"1919" 777256 136884.7 2977 777255 136884.7 2976 0.11119510161714974
"1919" 777258 136884.8 2979 777257 136884.8 2978 0.11119510090982554
"1919" 777261 136885.0 2982 777260 136885.0 2981 0.11119510161714974
"1919" 777269 136885.5 2990 777268 136885.5 2989 0.1275293557985862
"1919" 777271 136885.6 2992 777270 136885.6 2991 0.11119510161714974
"1919" 777274 136885.8 2995 777273 136885.8 2994 0.11119510090982554
"1919" 777276 136885.9 2997 777275 136885.9 2996 0.11119510232447394
"1919" 777282 136886.3 3003 777281 136886.3 3002 0.06244505260741443
"1919" 777287 136886.6 3008 777286 136886.6 3007 0.11119510161714974
"1919" 777289 136886.7 3010 777288 136886.7 3009 0.11119510090982554
"1919" 777292 136886.9 3013 777291 136886.9 3012 0.11119510090982554
"1919" 777294 136887.0 3015 777293 136887.0 3014 0.11119510090982554
"1919" 777300 136887.4 3021 777299 136887.4 3020 0.11119510090982554
"1919" 777302 136887.5 3023 777301 136887.5 3022 0.11119510161714974
"1919" 777305 136887.7 3026 777304 136887.7 3025 0.11119510090982554
"1919" 777307 136887.8 3028 777306 136887.8 3027 0.11119510161714974
"1919" 777318 136888.5 3039 777317 136888.5 3038 0.11119510161714974
"1919" 777320 136888.6 3041 777319 136888.6 3040 0.11119510090982554
"1919" 777323 136888.8 3044 777322 136888.8 3043 0.11119510090982554
"1919" 777332 136889.4 3053 777331 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" 3109589 1807.0 30 3109588 1807.0 29
"46602" 3109619 3452.5 60 3109618 3452.5 59
"46602" 3109636 4217.0 77 3109635 4217.0 76
"46602" 3109651 5516.2 92 3109650 5516.2 91
"46602" 3109681 7228.2 122 3109680 7228.2 121
"46602" 3109691 7795.1 132 3109690 7795.1 131
"46602" 3109721 9320.6 162 3109720 9320.6 161
"46602" 3109730 10750.3 171 3109729 10750.3 170
"46602" 3109755 15382.3 196 3109754 15382.3 195
"46602" 3109785 20959.2 226 3109784 20959.2 225
"46602" 3109813 22063.0 254 3109812 22063.0 253
"46602" 3109831 27498.4 272 3109830 27498.4 271
"46602" 3109839 28586.5 280 3109838 28586.5 279
"46602" 3109847 28736.2 288 3109846 28736.2 287
"46602" 3109851 28794.0 292 3109850 28794.0 291
"46602" 3109856 29159.3 297 3109855 29159.3 296
"46602" 3109866 29959.9 307 3109865 29959.9 306
"46602" 3109872 30754.4 313 3109871 30754.4 312
"46602" 3109878 31212.6 319 3109877 31212.6 318
"46602" 3109899 34332.8 340 3109898 34332.8 339
"46602" 3109932 37879.5 373 3109931 37879.5 372
"46602" 3109947 40204.0 388 3109946 40204.0 387
"46602" 3109967 42614.9 408 3109966 42614.9 407
"46602" 3109980 43598.2 421 3109979 43598.2 420
"46602" 3109992 44049.2 433 3109991 44049.2 432
"46602" 3110008 45566.6 449 3110007 45566.6 448
"46603" 3110022 2322.8 14 3110021 2322.8 13
"46603" 3110024 4635.2 16 3110023 4635.2 15
"46603" 3110032 7616.1 24 3110031 7616.1 23
"46603" 3110045 9283.4 37 3110044 9283.4 36
"46603" 3110056 10014.8 48 3110055 10014.8 47
"46603" 3110074 11300.5 66 3110073 11300.5 65
"46603" 3110080 12462.6 72 3110079 12462.6 71
"46603" 3110086 13513.8 78 3110085 13513.8 77
"46603" 3110092 14163.0 84 3110091 14163.0 83
"46603" 3110099 15426.7 91 3110098 15426.7 90
"46603" 3110106 16282.2 98 3110105 16282.2 97
"46603" 3110116 17762.3 108 3110115 17762.3 107
"46603" 3110127 19202.3 119 3110126 19202.3 118
"46603" 3110149 22036.2 141 3110148 22036.2 140
"46603" 3110162 23211.6 154 3110161 23211.6 153
"46603" 3110185 24339.5 177 3110184 24339.5 176
"46603" 3110203 26197.7 195 3110202 26197.7 194
"46603" 3110216 27133.3 208 3110215 27133.3 207
"46603" 3110225 27821.7 217 3110224 27821.7 216
"46603" 3110232 28241.8 224 3110231 28241.8 223
"46603" 3110238 28806.3 230 3110237 28806.3 229
"46603" 3110259 29525.8 251 3110258 29525.8 250
"46603" 3110297 31130.7 289 3110296 31130.7 288
"46603" 3110307 31762.2 299 3110306 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"
3074 "2499"
1557 "1256"
1553 "1271"
6239 "1294"
10901 "24602"
2 "1339"
3071 "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"
3072 "2974"
9386 "2972"
10406 "71428"
7831 "60928"
7828 "60959"
6278 "47985"
10894 "1954"
3092 "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"
3073 "3012"
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.
20208 "8093432" "17272" 196.9887428340989 3.283145713901648 242236 17 "99227" "Krekenava" "14:03:00" 242237 18 "99243" "Rabikiai" "14:03:00"
20699 "8091136" "17220" 196.9887428340989 3.283145713901648 223471 17 "98468" "Krekenava" "14:03:00" 223472 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.
4897 "2699" "7597182"
4898 "2699" "7597183"
4899 "2699" "7597184"
4900 "2699" "7597185"
4947 "2699" "7597186"
4948 "2699" "7597187"
4949 "2699" "7597188"
4952 "2699" "7597189"
5030 "2699" "7597190"
5031 "2699" "7597191"
5032 "2699" "7597192"
5033 "2699" "7597193"
5034 "2699" "7597194"
5035 "2699" "7597195"
5037 "2699" "7597196"
5038 "2699" "7597197"
5039 "2699" "7597198"
5125 "2699" "7597199"
5127 "2699" "7597200"
5128 "2699" "7597201"
5129 "2699" "7597202"
5143 "2699" "7597170"
5144 "2699" "7597171"
5145 "2699" "7597172"
5146 "2699" "7597173"
5238 "2699" "7597203"
5329 "2699" "7597204"
5401 "2699" "7597205"
5402 "2699" "7597206"
5403 "2699" "7597207"
5404 "2699" "7597208"
5503 "2699" "7597209"
5504 "2699" "7597210"
5505 "2699" "7597211"
5506 "2699" "7597212"
5629 "2699" "7597169"
5924 "2699" "7597021"
6190 "2699" "7597174"
6191 "2699" "7597180"
6194 "2699" "7597181"
6195 "2699" "7597175"
6196 "2699" "7597176"
6197 "2699" "7597177"
6198 "2699" "7597178"
22655 "2699" "7597128"
22656 "2699" "7597129"
22657 "2699" "7597130"
22658 "2699" "7597131"
22659 "2699" "7597132"
22671 "2699" "7597125"
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" "1A_VLP" 206
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 231
"routes.txt" "route_short_name" "40-DT" 288
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 298
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 301
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 306
"routes.txt" "route_short_name" "523_VLP" 353
"routes.txt" "route_short_name" "518_VLP" 356
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 371
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 372
"routes.txt" "route_short_name" "2_VLP" 396
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 403
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 414
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 450
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 468
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 539
"routes.txt" "route_long_name" "JONAVA-KULVA" 560
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 561
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 564
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 705
"routes.txt" "route_long_name" "JONAVA-RUKLA" 744
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 798
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 927
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 947
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 961
"routes.txt" "route_short_name" "2A_VLP" 998
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1036
"routes.txt" "route_short_name" "1_VLP" 1048
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1082
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 1083
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1103
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1107
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1120
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1130
"routes.txt" "route_short_name" "50AB" 1163
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1198
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1209
"routes.txt" "route_short_name" "3_VLP" 1230
"routes.txt" "route_short_name" "4_VLP" 1232
"routes.txt" "route_short_name" "5_VLP" 1233
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1242
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1278
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1282
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1284
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1307
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1314
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1325
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1334
"routes.txt" "route_short_name" "787_VLP" 1351
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.
12612 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12613 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13182 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
7164 "43544" "8124133" 394457 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
7169 "43548" "8124139" 394495 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
6113 "26974" "7317010" 36800 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
6113 "26974" "7317010" 36801 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
6113 "26974" "7317010" 36816 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
21091 "29329" "7418310" 44234 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
21532 "29328" "7418309" 44211 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
8212 "37814" "7870743" 73884 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
4152 "6003" "52856" 6188 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4121 "6005" "52858" 6197 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4134 "6004" "52857" 6193 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4067 "6007" "52859" 6204 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
4139 "6008" "52860" 6209 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
9390 "18654" "3218451" 22338 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
17235 "32206" "7476583" 50129 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
17235 "32206" "7476583" 50130 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
17235 "32206" "7476583" 50131 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
17235 "32206" "7476583" 50134 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
17235 "32206" "7476583" 50139 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
12528 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12581 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
13937 "37872" "7870674" 72488 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
21167 "29420" "7429613" 44771 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12600 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12609 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12573 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
536 "14622" "7150732" 35874 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
12591 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9867 "29615" "7432118" 45259 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
21225 "29616" "7432119" 45307 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
8896 "21886" "7847213" 70397 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
36 "21885" "8128799" 395843 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
28 "21887" "8128791" 395719 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
33 "21891" "8128796" 395796 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
149 "21865" "8128916" 397628 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
71 "21872" "8128828" 396288 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
13495 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8667 "45952" "8148013" 426127 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
9677 "11705" "747606" 14714 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4162 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4039 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4164 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
8569 "29093" "7413976" 42037 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
8568 "29092" "7413975" 42007 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
3165 "5232" "56646" 8900 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
18962 "27242" "7322653" 38185 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
18959 "27240" "7322650" 38139 "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.
3502 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
3475 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
3476 "3714" "57736" 11128 "13926" "Jonaičiai" [55.346103,21.568929] 11127 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
13438 "13808" "1228372" 16445 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16444 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
9426 "17480" "2657524" 21021 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21020 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
20568 "28435" "7339430" 39557 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39556 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
20566 "28434" "7339429" 39533 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39532 "64820" "Suostas" [56.32837775901334,24.713656830174433]
2948 "6591" "57636" 10591 "13926" "Jonaičiai" [55.346103,21.568929] 10590 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
2950 "3554" "57639" 10631 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10630 "12152" "Jonaičiai" [55.34641499999999,21.570023]
18354 "29102" "7413991" 42131 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42130 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
6189 "40377" "8016002" 105625 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 105624 "97223" "Tarvydai I" [55.328604,21.56423]
22800 "40378" "8016003" 105634 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 105633 "97223" "Tarvydai I" [55.328604,21.56423]
2990 "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