GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-11-28T06:08:19+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: 37
  • Blocks: 0
  • Routes: 1316
  • Shapes: 3555
  • Stops: 12967
  • Trips: 22442

Specification Compliance report

117733 notices reported (0 errors, 117700 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 44

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
40 "17919" 41 "17922" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
25 "17910" 82 "17907" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
83 "17961" 234 "17959" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
351 "17902" 352 "17908" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
166 "17912" 353 "17914" "M-101" "Kauno pilis-Linkuvos g.-Giraitė-Ledos kapinės" 3 "14"
390 "17953" 391 "17956" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
233 "17929" 397 "17932" "M-101A" "Kauno pilis-Linkuvos g.-Šilainiai-Užliedžiai" 3 "14"
247 "17899" 408 "17896" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
91 "17944" 413 "17941" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
174 "17891" 526 "17893" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
39 "17935" 541 "17934" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
406 "17927" 582 "17915" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
497 "17965" 651 "17963" "M-120" "Karmėlava-Ramučiai" 3 "14"
527 "17913" 669 "17906" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
686 "17931" 687 "17936" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
65 "17930" 719 "17933" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
409 "17921" 737 "17918" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
365 "17943" 849 "17945" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
66 "17964" 883 "17966" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
74 "17940" 884 "17937" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
221 "17925" 888 "17900" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
576 "17952" 897 "17954" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
842 "17924" 898 "17928" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
583 "17949" 900 "17950" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
682 "16052" 915 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
757 "17946" 919 "17939" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
328 "18002" 968 "18001" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
539 "17955" 1003 "17951" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
983 "17947" 1046 "17948" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
85 "17917" 1051 "17920" "M-146" "Kaunas-Žiegždriai" 3 "14"
363 "17958" 1056 "17903" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
756 "17962" 1073 "17967" "M-151" "Kaunas-Ramučiai" 3 "14"
918 "17969" 1074 "17968" "M-168" "Vosiškiai-Babtai" 3 "14"
431 "3645" 1150 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
834 "17897" 1164 "17904" "M-156" "Kaunas - Neveronys" 3 "14"
364 "17895" 1174 "17894" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
1004 "17890" 1177 "17892" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
1006 "17909" 1179 "17911" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
722 "17916" 1211 "17923" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
569 "17942" 1213 "17938" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
725 "17957" 1215 "17960" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
232 "17905" 1225 "17901" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
589 "17898" 1235 "17926" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
328 "18002" 1311 "18003" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
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" 477086 29882.7 878 477085 29882.7 877 0.12791084993239907
"2328" 385984 35929.8 642 385983 35929.8 641 0.11119510090982554
"3659" 472136 49657.5 1177 472135 49657.5 1176 0.12791084993239907
"42205" 3177684 57850.1 335 3177683 57850.1 334 0.06178544815632574
"2369" 371324 63265.5 1261 371323 63265.5 1260 0.11119510090982554
"2385" 580894 69168.3 1771 580893 69168.3 1770 0.06441976500794575
"28733" 2202124 71509.2 1569 2202123 71509.2 1568 0.06441976500794575
"1919" 745124 136875.8 2842 745123 136875.8 2841 0.12752942403551987
"1919" 745127 136876.0 2845 745126 136876.0 2844 0.11119510090982554
"1919" 745134 136876.5 2852 745133 136876.5 2851 0.11119510232447394
"1919" 745137 136876.7 2855 745136 136876.7 2854 0.11119510161714974
"1919" 745140 136876.9 2858 745139 136876.9 2857 0.12752941555597483
"1919" 745149 136877.5 2867 745148 136877.5 2866 0.11119510090982554
"1919" 745152 136877.7 2870 745151 136877.7 2869 0.11119510161714974
"1919" 745155 136877.9 2873 745154 136877.9 2872 0.11119510090982554
"1919" 745162 136878.4 2880 745161 136878.4 2879 0.11119510090982554
"1919" 745165 136878.6 2883 745164 136878.6 2882 0.11119510161714974
"1919" 745174 136879.2 2892 745173 136879.2 2891 0.11119510090982554
"1919" 745177 136879.4 2895 745176 136879.4 2894 0.12752939825777979
"1919" 745180 136879.6 2898 745179 136879.6 2897 0.11119510161714974
"1919" 745189 136880.2 2907 745188 136880.2 2906 0.11119510161714974
"1919" 745193 136880.5 2911 745192 136880.5 2910 0.06244513630731429
"1919" 745199 136880.9 2917 745198 136880.9 2916 0.11119510161714974
"1919" 745202 136881.1 2920 745201 136881.1 2919 0.11119510090982554
"1919" 745205 136881.3 2923 745204 136881.3 2922 0.11119510090982554
"1919" 745214 136881.9 2932 745213 136881.9 2931 0.12752938095958766
"1919" 745217 136882.1 2935 745216 136882.1 2934 0.11119510161714974
"1919" 745228 136882.8 2946 745227 136882.8 2945 0.11119510161714974
"1919" 745233 136883.1 2951 745232 136883.1 2950 0.11119510161714974
"1919" 745241 136883.6 2959 745240 136883.6 2958 0.11119510090982554
"1919" 745246 136883.9 2964 745245 136883.9 2963 0.11119510090982554
"1919" 745259 136884.7 2977 745258 136884.7 2976 0.11119510161714974
"1919" 745261 136884.8 2979 745260 136884.8 2978 0.11119510090982554
"1919" 745264 136885.0 2982 745263 136885.0 2981 0.11119510161714974
"1919" 745272 136885.5 2990 745271 136885.5 2989 0.1275293557985862
"1919" 745274 136885.6 2992 745273 136885.6 2991 0.11119510161714974
"1919" 745277 136885.8 2995 745276 136885.8 2994 0.11119510090982554
"1919" 745279 136885.9 2997 745278 136885.9 2996 0.11119510232447394
"1919" 745285 136886.3 3003 745284 136886.3 3002 0.06244505260741443
"1919" 745290 136886.6 3008 745289 136886.6 3007 0.11119510161714974
"1919" 745292 136886.7 3010 745291 136886.7 3009 0.11119510090982554
"1919" 745295 136886.9 3013 745294 136886.9 3012 0.11119510090982554
"1919" 745297 136887.0 3015 745296 136887.0 3014 0.11119510090982554
"1919" 745303 136887.4 3021 745302 136887.4 3020 0.11119510090982554
"1919" 745305 136887.5 3023 745304 136887.5 3022 0.11119510161714974
"1919" 745308 136887.7 3026 745307 136887.7 3025 0.11119510090982554
"1919" 745310 136887.8 3028 745309 136887.8 3027 0.11119510161714974
"1919" 745321 136888.5 3039 745320 136888.5 3038 0.11119510161714974
"1919" 745323 136888.6 3041 745322 136888.6 3040 0.11119510090982554
"1919" 745326 136888.8 3044 745325 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 12939

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 12939 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`.
"44896" 3134406 438.6 15 3134405 438.6 14
"44896" 3134429 1566.5 38 3134428 1566.5 37
"44896" 3134447 3424.7 56 3134446 3424.7 55
"44896" 3134460 4360.3 69 3134459 4360.3 68
"44896" 3134469 5048.7 78 3134468 5048.7 77
"44896" 3134476 5468.8 85 3134475 5468.8 84
"44896" 3134482 6033.3 91 3134481 6033.3 90
"44896" 3134503 6752.8 112 3134502 6752.8 111
"44896" 3134541 8357.7 150 3134540 8357.7 149
"44896" 3134551 8989.2 160 3134550 8989.2 159
"44896" 3134577 10607.0 186 3134576 10607.0 185
"44896" 3134602 12062.0 211 3134601 12062.0 210
"44896" 3134614 12815.7 223 3134613 12815.7 222
"44896" 3134648 14900.7 257 3134647 14900.7 256
"44896" 3134662 16282.0 271 3134661 16282.0 270
"44895" 3133946 1807.0 30 3133945 1807.0 29
"44895" 3133976 3452.5 60 3133975 3452.5 59
"44895" 3133993 4217.0 77 3133992 4217.0 76
"44895" 3134008 5516.2 92 3134007 5516.2 91
"44895" 3134038 7228.2 122 3134037 7228.2 121
"44895" 3134048 7795.1 132 3134047 7795.1 131
"44895" 3134080 9412.6 164 3134079 9412.6 163
"44895" 3134085 10092.5 169 3134084 10092.5 168
"44895" 3134093 10723.8 177 3134092 10723.8 176
"44895" 3134099 11155.6 183 3134098 11155.6 182
"44895" 3134108 11778.2 192 3134107 11778.2 191
"44895" 3134121 12601.7 205 3134120 12601.7 204
"44895" 3134140 14623.9 224 3134139 14623.9 223
"44895" 3134158 15739.3 242 3134157 15739.3 241
"44895" 3134172 16957.1 256 3134171 16957.1 255
"44895" 3134193 19706.2 277 3134192 19706.2 276
"44895" 3134204 21159.8 288 3134203 21159.8 287
"44895" 3134214 22748.3 298 3134213 22748.3 297
"44895" 3134218 23441.0 302 3134217 23441.0 301
"44895" 3134225 24772.0 309 3134224 24772.0 308
"44895" 3134231 25439.0 315 3134230 25439.0 314
"44895" 3134236 26492.7 320 3134235 26492.7 319
"44895" 3134243 27647.9 327 3134242 27647.9 326
"44895" 3134257 28868.3 341 3134256 28868.3 340
"44895" 3134270 29623.2 354 3134269 29623.2 353
"44895" 3134282 31263.6 366 3134281 31263.6 365
"44895" 3134291 34317.6 375 3134290 34317.6 374
"44895" 3134338 39647.9 422 3134337 39647.9 421
"44898" 3135143 1807.0 30 3135142 1807.0 29
"44898" 3135173 3452.5 60 3135172 3452.5 59
"44898" 3135190 4217.0 77 3135189 4217.0 76
"44898" 3135205 5516.2 92 3135204 5516.2 91
"44898" 3135235 7228.2 122 3135234 7228.2 121
"44898" 3135245 7795.1 132 3135244 7795.1 131
"44898" 3135277 9412.6 164 3135276 9412.6 163
expired_calendar WARNING 60

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 60 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
8095 "17222"
6980 "31530"
6 "1076"
5784 "17343"
2280 "2499"
23 "43774"
1144 "1256"
4640 "1294"
8096 "24602"
6995 "48594"
2 "1339"
2277 "2685"
8093 "12709"
3466 "1379"
4666 "2737"
5777 "2766"
1158 "60347"
8 "1461"
5789 "47502"
8084 "678"
6975 "2814"
4670 "2849"
4671 "2852"
5779 "2850"
3481 "2980"
5778 "2975"
2278 "2974"
6974 "2972"
4639 "973"
5807 "60928"
5804 "60959"
4682 "47985"
8089 "1954"
2301 "60890"
8091 "3000"
2279 "3012"
6982 "20239"
8097 "20237"
8098 "13033"
1149 "13105"
11 "2009"
13 "2022"
5795 "48071"
26 "48073"
5793 "48062"
3479 "2111"
5776 "2123"
4660 "2137"
2271 "2158"
2274 "2175"
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.
11434 "8093432" "17272" 196.9887428340989 3.283145713901648 239081 17 "99227" "Krekenava" "14:03:00" 239082 18 "99243" "Rabikiai" "14:03:00"
11513 "8091136" "17220" 196.9887428340989 3.283145713901648 220316 17 "98468" "Krekenava" "14:03:00" 220317 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.
465 "2699" "7597160"
466 "2699" "7597161"
483 "2699" "7597162"
484 "2699" "7597163"
491 "2699" "7597164"
494 "2699" "7597165"
495 "2699" "7597166"
496 "2699" "7597167"
533 "2699" "7597125"
535 "2699" "7597126"
536 "2699" "7597127"
580 "2699" "7597147"
591 "2699" "7597148"
592 "2699" "7597149"
603 "2699" "7597150"
604 "2699" "7597151"
605 "2699" "7597153"
606 "2699" "7597154"
613 "2699" "7597155"
614 "2699" "7597156"
615 "2699" "7597157"
616 "2699" "7597158"
617 "2699" "7597159"
3257 "2699" "7597169"
9280 "2699" "7597128"
9281 "2699" "7597129"
9282 "2699" "7597130"
9283 "2699" "7597131"
9284 "2699" "7597132"
9294 "2699" "7597174"
9295 "2699" "7597180"
9298 "2699" "7597181"
9299 "2699" "7597175"
9300 "2699" "7597176"
9301 "2699" "7597177"
9302 "2699" "7597178"
9423 "2699" "7597133"
9424 "2699" "7597134"
9425 "2699" "7597135"
9426 "2699" "7597136"
9427 "2699" "7597137"
9428 "2699" "7597138"
9429 "2699" "7597139"
9460 "2699" "7597182"
9461 "2699" "7597183"
9462 "2699" "7597184"
9463 "2699" "7597185"
9511 "2699" "7597140"
9512 "2699" "7597141"
9513 "2699" "7597142"
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 326

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 326 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\"" 37
"routes.txt" "route_short_name" "1A_VLP" 200
"routes.txt" "route_short_name" "523_VLP" 201
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 249
"routes.txt" "route_short_name" "518_VLP" 299
"routes.txt" "route_short_name" "2_VLP" 375
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 512
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 574
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 734
"routes.txt" "route_short_name" "2A_VLP" 868
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 914
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 987
"routes.txt" "route_short_name" "1_VLP" 1022
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1094
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1112
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1178
"routes.txt" "route_short_name" "4_VLP" 1189
"routes.txt" "route_short_name" "787_VLP" 1190
"routes.txt" "route_short_name" "3_VLP" 1192
"routes.txt" "route_short_name" "5_VLP" 1195
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1210
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1266
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1294
"stops.txt" "stop_name" "2-asis fortas" 141
"stops.txt" "stop_name" "140 km" 360
"stops.txt" "stop_name" "9-ojo forto muziejus" 1009
"stops.txt" "stop_name" "7-asis kilometras A" 1461
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 1508
"stops.txt" "stop_name" "4-asis fortas B" 1572
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 1601
"stops.txt" "stop_name" "140 km" 1677
"stops.txt" "stop_name" "9 kilometras" 2041
"stops.txt" "stop_name" "9 kilometras" 2042
"stops.txt" "stop_name" "40 km" 2091
"stops.txt" "stop_name" "žieda" 2108
"stops.txt" "stop_name" "16-sis kilometras" 2148
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 2289
"stops.txt" "stop_name" "3-ieji sodininkai" 2538
"stops.txt" "stop_name" "1-ojo forto g." 2609
"stops.txt" "stop_name" "19-as kilometras" 2630
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 3136
"stops.txt" "stop_name" "140 km" 3208
"stops.txt" "stop_name" "32 kilometras" 3602
"stops.txt" "stop_name" "40 km" 3689
"stops.txt" "stop_name" "III km." 3856
"stops.txt" "stop_name" "III km." 3900
"stops.txt" "stop_name" "19-as kilometras" 4108
"stops.txt" "stop_name" "9-ojo forto muziejus" 4254
"stops.txt" "stop_name" "5-oji gimnazija" 5099
"stops.txt" "stop_name" "23 km" 5317
stop_too_far_from_shape WARNING 49

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
14814 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14815 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14191 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18774 "43544" "8124133" 391802 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
18779 "43548" "8124139" 391840 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
10533 "26974" "7317010" 32301 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
10533 "26974" "7317010" 32302 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
10533 "26974" "7317010" 32317 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
11188 "29329" "7418310" 38117 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
12545 "29328" "7418309" 38094 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
4789 "37814" "7870743" 70645 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
3640 "18654" "3218451" 22373 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
8180 "32206" "7476583" 44012 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
8180 "32206" "7476583" 44013 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
8180 "32206" "7476583" 44014 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
8180 "32206" "7476583" 44017 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
8180 "32206" "7476583" 44022 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
14485 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14538 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
15007 "37872" "7870674" 69249 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
11422 "29420" "7429613" 38654 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14557 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14811 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14530 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3841 "14622" "7150732" 31416 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
14548 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5329 "29615" "7432118" 39142 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
12225 "29616" "7432119" 39190 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1327 "21886" "8128860" 394119 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
822 "21885" "8128771" 392734 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7673 "21887" "8128791" 393064 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1318 "21891" "8128924" 395126 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7171 "21865" "8128916" 394973 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
831 "21872" "8128779" 392842 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
14882 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5204 "11705" "747606" 14537 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14579 "6511" "54507" 8498 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
14209 "6509" "54501" 8444 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
14581 "6513" "54509" 8522 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3969 "29093" "7413976" 36031 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
3968 "29092" "7413975" 36001 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
5706 "5232" "56646" 8624 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
14549 "3514" "45563" 3444 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14189 "3537" "45591" 3469 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6668 "17131" "2515700" 20642 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
14486 "3574" "45644" 3470 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14808 "3617" "45754" 3496 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3919 "15331" "2211799" 17406 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
10403 "15330" "2211797" 17393 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
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.
5467 "3645" "57657" 10639 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10638 "12152" "Jonaičiai" [55.34641499999999,21.570023]
5298 "3667" "57730" 10778 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10777 "13926" "Jonaičiai" [55.346103,21.568929]
5299 "3714" "57736" 10852 "13926" "Jonaičiai" [55.346103,21.568929] 10851 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
14738 "13808" "1228372" 16268 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16267 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
4952 "17480" "2657524" 21056 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21055 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
12466 "28435" "7339430" 33623 "64819" "Suostas" [56.32837413018391,24.713657886432735] 33622 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
12465 "28434" "7339429" 33599 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 33598 "64820" "Suostas" [56.32837775901334,24.713656830174433]
5295 "6591" "57635" 10299 "13926" "Jonaičiai" [55.346103,21.568929] 10298 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
5499 "3554" "57639" 10355 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10354 "12152" "Jonaičiai" [55.34641499999999,21.570023]
66 "29102" "7413991" 36125 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 36124 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
9293 "40377" "8016002" 102470 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 102469 "97223" "Tarvydai I" [55.328604,21.56423]
7192 "40378" "8016003" 102479 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 102478 "97223" "Tarvydai I" [55.328604,21.56423]
5535 "5353" "57618" 10127 "13926" "Jonaičiai" [55.346103,21.568929] 10126 "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