GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-09T06:07:40+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

⚠ This feed contains GTFS Flex features. Please note that GTFS Flex validation support is still in development. You can manually review all the validation rules for Flex data here.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included


Feed Info


Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included


  1. agency.txt
  2. attributions.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. trips.txt

Counts


  • Agencies: 53
  • Blocks: 0
  • Routes: 1671
  • Shapes: 4355
  • Stops: 15852
  • Trips: 30196

Specification Compliance report

123784 notices reported (0 errors, 123751 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 43

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`.
364 "6209" 390 "18329" "M1" "Alytus - Geniai" 3 "48"
202 "20560" 418 "20561" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
2 "20563" 419 "20555" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
423 "20594" 424 "20593" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
15 "20617" 425 "20618" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
3 "20557" 630 "20559" "M-156" "Kaunas - Neveronys" 3 "14"
420 "20592" 631 "20596" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
5 "20545" 635 "20548" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
7 "20578" 636 "20574" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
651 "20589" 652 "20591" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
4 "20603" 825 "20590" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
203 "20606" 826 "20605" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
421 "20576" 828 "20573" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
639 "20622" 832 "20619" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
14 "20614" 833 "20610" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
436 "20615" 848 "20616" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
824 "20568" 1022 "20570" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
6 "20558" 1024 "20556" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
207 "20552" 1032 "20550" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
429 "20586" 1033 "20585" "M-151" "Kaunas-Ramučiai" 3 "14"
640 "20564" 1034 "20566" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
1035 "20599" 1036 "20601" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
430 "20577" 1037 "20575" "M-168" "Vosiškiai-Babtai" 3 "14"
829 "16052" 1099 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
1020 "20604" 1245 "20602" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
1021 "20580" 1246 "20581" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
428 "20600" 1248 "20598" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
827 "20613" 1250 "20609" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
204 "20624" 1251 "20623" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
1253 "20551" 1254 "20549" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
209 "20608" 1256 "20607" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
985 "20588" 1417 "20587" "M-120" "Karmėlava-Ramučiai" 3 "14"
1247 "20595" 1452 "20597" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
1249 "20620" 1453 "20621" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
638 "20611" 1457 "20612" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
427 "20582" 1458 "20583" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
208 "20567" 1459 "20565" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
1255 "20547" 1460 "20546" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
212 "20562" 1462 "20569" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
16 "20584" 1463 "20579" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
649 "20571" 1468 "20572" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
23 "20554" 1470 "20553" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
470 "3645" 1508 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4156

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 4156 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" 518561 29882.7 878 518560 29882.7 877 0.12791084993239907
"2328" 426264 35929.8 642 426263 35929.8 641 0.11119510090982554
"3659" 513611 49657.5 1177 513610 49657.5 1176 0.12791084993239907
"42205" 3657831 57850.1 335 3657830 57850.1 334 0.06178544815632574
"2369" 415068 63265.5 1261 415067 63265.5 1260 0.11119510090982554
"2385" 624525 69168.3 1771 624524 69168.3 1770 0.06441976500794575
"28733" 2433839 71509.2 1569 2433838 71509.2 1568 0.06441976500794575
"1919" 788293 136875.8 2842 788292 136875.8 2841 0.12752942403551987
"1919" 788296 136876.0 2845 788295 136876.0 2844 0.11119510090982554
"1919" 788303 136876.5 2852 788302 136876.5 2851 0.11119510232447394
"1919" 788306 136876.7 2855 788305 136876.7 2854 0.11119510161714974
"1919" 788309 136876.9 2858 788308 136876.9 2857 0.12752941555597483
"1919" 788318 136877.5 2867 788317 136877.5 2866 0.11119510090982554
"1919" 788321 136877.7 2870 788320 136877.7 2869 0.11119510161714974
"1919" 788324 136877.9 2873 788323 136877.9 2872 0.11119510090982554
"1919" 788331 136878.4 2880 788330 136878.4 2879 0.11119510090982554
"1919" 788334 136878.6 2883 788333 136878.6 2882 0.11119510161714974
"1919" 788343 136879.2 2892 788342 136879.2 2891 0.11119510090982554
"1919" 788346 136879.4 2895 788345 136879.4 2894 0.12752939825777979
"1919" 788349 136879.6 2898 788348 136879.6 2897 0.11119510161714974
"1919" 788358 136880.2 2907 788357 136880.2 2906 0.11119510161714974
"1919" 788362 136880.5 2911 788361 136880.5 2910 0.06244513630731429
"1919" 788368 136880.9 2917 788367 136880.9 2916 0.11119510161714974
"1919" 788371 136881.1 2920 788370 136881.1 2919 0.11119510090982554
"1919" 788374 136881.3 2923 788373 136881.3 2922 0.11119510090982554
"1919" 788383 136881.9 2932 788382 136881.9 2931 0.12752938095958766
"1919" 788386 136882.1 2935 788385 136882.1 2934 0.11119510161714974
"1919" 788397 136882.8 2946 788396 136882.8 2945 0.11119510161714974
"1919" 788402 136883.1 2951 788401 136883.1 2950 0.11119510161714974
"1919" 788410 136883.6 2959 788409 136883.6 2958 0.11119510090982554
"1919" 788415 136883.9 2964 788414 136883.9 2963 0.11119510090982554
"1919" 788428 136884.7 2977 788427 136884.7 2976 0.11119510161714974
"1919" 788430 136884.8 2979 788429 136884.8 2978 0.11119510090982554
"1919" 788433 136885.0 2982 788432 136885.0 2981 0.11119510161714974
"1919" 788441 136885.5 2990 788440 136885.5 2989 0.1275293557985862
"1919" 788443 136885.6 2992 788442 136885.6 2991 0.11119510161714974
"1919" 788446 136885.8 2995 788445 136885.8 2994 0.11119510090982554
"1919" 788448 136885.9 2997 788447 136885.9 2996 0.11119510232447394
"1919" 788454 136886.3 3003 788453 136886.3 3002 0.06244505260741443
"1919" 788459 136886.6 3008 788458 136886.6 3007 0.11119510161714974
"1919" 788461 136886.7 3010 788460 136886.7 3009 0.11119510090982554
"1919" 788464 136886.9 3013 788463 136886.9 3012 0.11119510090982554
"1919" 788466 136887.0 3015 788465 136887.0 3014 0.11119510090982554
"1919" 788472 136887.4 3021 788471 136887.4 3020 0.11119510090982554
"1919" 788474 136887.5 3023 788473 136887.5 3022 0.11119510161714974
"1919" 788477 136887.7 3026 788476 136887.7 3025 0.11119510090982554
"1919" 788479 136887.8 3028 788478 136887.8 3027 0.11119510161714974
"1919" 788490 136888.5 3039 788489 136888.5 3038 0.11119510161714974
"1919" 788492 136888.6 3041 788491 136888.6 3040 0.11119510090982554
"1919" 788495 136888.8 3044 788494 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 18929

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 18929 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`.
"43541" 3293264 350.5 28 3293263 350.5 27
"43541" 3293275 811.7 39 3293274 811.7 38
"43541" 3293314 1779.8 78 3293313 1779.8 77
"43541" 3293358 3184.3 122 3293357 3184.3 121
"43541" 3293391 4418.1 155 3293390 4418.1 154
"43541" 3293407 4854.6 171 3293406 4854.6 170
"43541" 3293456 6561.9 220 3293455 6561.9 219
"43541" 3293492 7544.1 256 3293491 7544.1 255
"43541" 3293531 8757.6 295 3293530 8757.6 294
"43541" 3293548 9358.6 312 3293547 9358.6 311
"43541" 3293575 9709.1 339 3293574 9709.1 338
"43541" 3293621 10376.7 385 3293620 10376.7 384
"43541" 3293674 11116.1 438 3293673 11116.1 437
"43541" 3293705 11700.4 469 3293704 11700.4 468
"43541" 3293736 12284.8 500 3293735 12284.8 499
"43541" 3293997 14358.7 761 3293996 14358.7 760
"43541" 3294073 14706.8 837 3294072 14706.8 836
"43541" 3294173 15301.6 937 3294172 15301.6 936
"43541" 3294273 15896.4 1037 3294272 15896.4 1036
"43541" 3294349 16244.5 1113 3294348 16244.5 1112
"43541" 3294547 17133.2 1311 3294546 17133.2 1310
"43541" 3294790 18161.9 1554 3294789 18161.9 1553
"43541" 3294815 18472.3 1579 3294814 18472.3 1578
"43541" 3294865 18976.3 1629 3294864 18976.3 1628
"43541" 3295012 19673.4 1776 3295011 19673.4 1775
"43541" 3295241 21285.9 2005 3295240 21285.9 2004
"43541" 3295317 22756.6 2081 3295316 22756.6 2080
"43541" 3295393 24227.3 2157 3295392 24227.3 2156
"43541" 3295432 24719.6 2196 3295431 24719.6 2195
"43541" 3295449 25292.2 2213 3295448 25292.2 2212
"43541" 3295468 25625.9 2232 3295467 25625.9 2231
"43541" 3295556 26736.7 2320 3295555 26736.7 2319
"43541" 3295643 27236.5 2407 3295642 27236.5 2406
"43541" 3295692 28436.1 2456 3295691 28436.1 2455
"43541" 3295731 28928.5 2495 3295730 28928.5 2494
"43541" 3295782 29639.4 2546 3295781 29639.4 2545
"43541" 3296013 30811.2 2777 3296012 30811.2 2776
"43541" 3296089 31159.3 2853 3296088 31159.3 2852
"43541" 3296189 31754.1 2953 3296188 31754.1 2952
"43541" 3296289 32348.9 3053 3296288 32348.9 3052
"43541" 3296365 32697.0 3129 3296364 32697.0 3128
"43541" 3296563 33585.6 3327 3296562 33585.6 3326
"43541" 3296847 35228.5 3611 3296846 35228.5 3610
"43541" 3296900 35967.9 3664 3296899 35967.9 3663
"43541" 3296931 36552.2 3695 3296930 36552.2 3694
"43541" 3296962 37136.6 3726 3296961 37136.6 3725
"43531" 2301778 1036.1 44 2301777 1036.1 43
"43531" 2301807 1669.1 73 2301806 1669.1 72
"43531" 2301834 2285.2 100 2301833 2285.2 99
"43531" 2301875 4091.8 141 2301874 4091.8 140
expired_calendar WARNING 66

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 66 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3244 "73341"
3189 "1256"
3185 "1271"
13032 "1294"
22640 "24601"
2 "1339"
22632 "12709"
9745 "1379"
22809 "61695"
9 "1461"
22626 "1954"
19429 "20239"
22635 "20237"
22634 "17222"
16288 "17343"
47 "76307"
19467 "76308"
48 "76309"
22636 "13033"
3198 "13105"
16331 "76816"
12 "2009"
14 "2022"
13050 "2066"
9758 "2111"
16279 "2123"
13052 "2137"
13093 "62494"
6437 "2158"
6440 "2175"
6442 "2173"
19414 "2206"
6443 "2205"
13054 "2218"
16277 "2217"
19417 "2216"
16273 "2213"
22625 "2224"
9761 "2285"
13067 "13743"
6447 "2499"
6444 "2685"
13058 "2737"
16280 "2766"
16293 "47502"
19421 "2814"
13062 "2849"
16470 "59439"
13063 "2852"
fast_travel_between_consecutive_stops WARNING 1

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
26313 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 193069 17 "99227" "Krekenava" "14:03:00" 193070 18 "99243" "Rabikiai" "14:03:00"
missing_bike_allowance WARNING 118

missing_bike_allowance

Ferry trips should include bike allowance information.

All ferry trips should have a valid value in the bikes_allowed field in trips.txt.

You can see more about this notice here.

Only the first 50 of 118 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
11227 "2699" "7597177"
11287 "2699" "7597202"
11367 "2699" "7597125"
11449 "2699" "7597210"
11457 "2699" "7597201"
11459 "2699" "7597172"
11508 "2699" "7597164"
11518 "2699" "7597176"
11537 "2699" "7597137"
11597 "2699" "7597170"
11636 "2699" "7597140"
11697 "2699" "7597191"
11702 "2699" "7597133"
11788 "2699" "7597147"
11822 "2699" "7597183"
11874 "2699" "7597148"
11907 "2699" "7597196"
11931 "2699" "7597144"
12072 "2699" "7597130"
12112 "2699" "7597194"
12124 "2699" "7597131"
12142 "2699" "7597163"
12285 "2699" "7597181"
12318 "2699" "7597150"
12430 "2699" "7597212"
12604 "2699" "7597128"
12628 "2699" "7597186"
12736 "2699" "7597155"
12783 "2699" "7597146"
13238 "2699" "7597136"
13280 "2699" "7597211"
13418 "2699" "7597208"
13466 "2699" "7597187"
13523 "2699" "7597188"
13526 "2699" "7597203"
13535 "2699" "7597157"
13606 "2699" "7597156"
13632 "2699" "7597209"
13671 "2699" "7597189"
13689 "2699" "7597195"
13767 "2699" "7597127"
13814 "2699" "7597171"
13880 "2699" "7597132"
13940 "2699" "7597166"
26599 "2699" "7597161"
26765 "2699" "7597151"
26777 "2699" "7597197"
26834 "2699" "7597199"
26979 "2699" "7597200"
27062 "2699" "7597135"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
missing_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "41891" 1
3 "41891" 2
4 "41891" 3
5 "41891" 4
6 "41891" 5
7 "41891" 6
8 "41891" 7
9 "41891" 8
10 "41891" 9
11 "41979" 1
12 "41979" 2
13 "41979" 3
14 "41979" 4
15 "41980" 1
16 "41980" 2
17 "41980" 3
18 "41980" 4
19 "41981" 1
20 "41981" 2
21 "41981" 3
22 "41981" 4
23 "41982" 1
24 "41982" 2
25 "41982" 3
26 "41982" 4
27 "42101" 1
28 "42101" 2
29 "42101" 4
30 "42101" 5
31 "42101" 6
32 "42103" 1
33 "42103" 2
34 "42103" 4
35 "42103" 5
36 "42103" 6
37 "42105" 1
38 "42105" 2
39 "42105" 4
40 "42105" 5
41 "42203" 1
42 "42203" 2
43 "42203" 3
44 "42203" 4
45 "42203" 5
46 "42203" 6
47 "42203" 7
48 "42203" 8
49 "42203" 9
50 "42203" 10
51 "42203" 11
mixed_case_recommended_field WARNING 372

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 372 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\"" 53
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 38
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 42
"routes.txt" "route_short_name" "3_VLP" 48
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 146
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 250
"routes.txt" "route_short_name" "5_VLP" 252
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 271
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 322
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 402
"routes.txt" "route_short_name" "40-DT" 417
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 454
"routes.txt" "route_short_name" "2_VLP" 458
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 596
"routes.txt" "route_short_name" "94AT" 616
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 667
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 670
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 672
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 675
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 693
"routes.txt" "route_short_name" "94-DC" 700
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 701
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 730
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 793
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 865
"routes.txt" "route_long_name" "JONAVA-KULVA" 867
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 868
"routes.txt" "route_short_name" "4_VLP" 877
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 945
"routes.txt" "route_short_name" "70AC" 947
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1062
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1063
"routes.txt" "route_short_name" "1A_VLP" 1068
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1096
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1127
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1138
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1283
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1285
"routes.txt" "route_short_name" "2A_VLP" 1287
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1299
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1328
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1344
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1383
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1385
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1398
"routes.txt" "route_short_name" "50AB" 1403
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1416
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1494
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1501
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1503
stop_too_far_from_shape WARNING 51

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 51 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.
13445 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12836 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27921 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12720 "43544" "8124133" 272459 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
13807 "43548" "8124139" 272497 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
11814 "26974" "7317013" 42572 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
11814 "26974" "7317013" 42573 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
11814 "26974" "7317013" 42588 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
27180 "16822" "2392140" 25220 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
11388 "16821" "2392135" 25154 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
27743 "16823" "2392141" 25239 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
13614 "18654" "3218451" 28395 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
12425 "32206" "7476587" 54094 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
12425 "32206" "7476587" 54095 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
12425 "32206" "7476587" 54096 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
12425 "32206" "7476587" 54099 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
12425 "32206" "7476587" 54104 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
29518 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
29281 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
13850 "29420" "7429613" 48799 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
28322 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12184 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26954 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11335 "14622" "7150732" 41490 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
28739 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
30130 "29615" "7432118" 49207 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
11722 "29616" "7432119" 49255 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
135 "21886" "60_A4-01-6-241028-ba-0730" 527611 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
100 "21885" "60_A30-01-7-241028-ab-1650" 528331 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
150 "21887" "60_A2-01-7-060404-ab3-1430" 528821 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
147 "21891" "60_A2-01-6-060404-ab2-0740" 526927 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1554 "21865" "60_A2-01-7-060404-b3a-1150" 527235 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
97 "21872" "60_A4-01-6-241028-b2a-2220" 529053 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
12105 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13015 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
11502 "4711" "47251" 4673 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
29832 "11705" "747606" 18312 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28230 "6511" "54508" 10652 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
13289 "6509" "54501" 10586 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
29798 "6513" "54509" 10664 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
11368 "29093" "7413976" 46390 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
26863 "29092" "7413975" 46360 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
12018 "5232" "48165" 5845 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
12883 "44681" "8136902" 284376 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
28052 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27508 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11998 "17131" "2515700" 25636 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
29086 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28000 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13498 "15331" "2211799" 22440 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 14

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.
27354 "3645" "57657" 14647 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14646 "12152" "Jonaičiai" [55.34641499999999,21.570023]
27182 "3667" "57730" 14786 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14785 "13926" "Jonaičiai" [55.346103,21.568929]
11873 "3714" "57735" 14844 "13926" "Jonaičiai" [55.346103,21.568929] 14843 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
27458 "13808" "1228372" 21096 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21095 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
12272 "26489" "7231018" 42083 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 42082 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
12563 "35668" "7652364" 65704 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 65703 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
27587 "28435" "7339430" 43982 "64819" "Suostas" [56.32837413018391,24.713657886432735] 43981 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
11310 "28434" "7339429" 43958 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 43957 "64820" "Suostas" [56.32837775901334,24.713656830174433]
12489 "6591" "57636" 14323 "13926" "Jonaičiai" [55.346103,21.568929] 14322 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
27202 "3554" "57643" 14451 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14450 "12152" "Jonaičiai" [55.34641499999999,21.570023]
30129 "29102" "7413991" 46484 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 46483 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
11435 "40377" "8016002" 106511 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 106510 "97223" "Tarvydai I" [55.328604,21.56423]
29524 "40378" "8016003" 106520 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 106519 "97223" "Tarvydai I" [55.328604,21.56423]
13802 "5353" "57622" 14152 "13926" "Jonaičiai" [55.346103,21.568929] 14151 "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