GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-10T06:07:59+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: 4345
  • Stops: 15848
  • Trips: 30126

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`.
214 "18329" 372 "6209" "M1" "Alytus - Geniai" 3 "48"
230 "20560" 439 "20561" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
192 "20563" 623 "20555" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
622 "20593" 624 "20594" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
197 "20617" 626 "20618" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
26 "20545" 657 "20548" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
27 "20578" 658 "20574" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
31 "20557" 663 "20559" "M-156" "Kaunas - Neveronys" 3 "14"
446 "20592" 666 "20596" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
821 "20589" 822 "20591" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
656 "20622" 853 "20619" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
231 "20606" 855 "20605" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
445 "20615" 864 "20616" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
440 "20576" 865 "20573" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
34 "20603" 866 "20590" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
35 "20614" 867 "20610" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
852 "20568" 1046 "20570" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
234 "20552" 1048 "20550" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
1014 "16052" 1094 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
817 "20564" 1229 "20566" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
450 "20586" 1230 "20585" "M-151" "Kaunas-Ramučiai" 3 "14"
1231 "20599" 1232 "20601" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
627 "20577" 1235 "20575" "M-168" "Vosiškiai-Babtai" 3 "14"
200 "20558" 1236 "20556" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
854 "20613" 1268 "20609" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
232 "20608" 1269 "20607" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
1049 "20604" 1270 "20602" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
1056 "20580" 1275 "20581" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
243 "20624" 1278 "20623" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
447 "20600" 1280 "20598" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
1279 "20549" 1281 "20551" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
1015 "20588" 1450 "20587" "M-120" "Karmėlava-Ramučiai" 3 "14"
233 "20562" 1480 "20569" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
1272 "20620" 1483 "20621" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
1273 "20595" 1484 "20597" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
667 "20571" 1488 "20572" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
1276 "20547" 1492 "20546" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
244 "20567" 1493 "20565" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
484 "3645" 1548 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
621 "20582" 1666 "20583" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
816 "20611" 1668 "20612" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
193 "20554" 1670 "20553" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
195 "20584" 1672 "20579" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
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" 517749 29882.7 878 517748 29882.7 877 0.12791084993239907
"2328" 425452 35929.8 642 425451 35929.8 641 0.11119510090982554
"3659" 512799 49657.5 1177 512798 49657.5 1176 0.12791084993239907
"42205" 3657019 57850.1 335 3657018 57850.1 334 0.06178544815632574
"2369" 414256 63265.5 1261 414255 63265.5 1260 0.11119510090982554
"2385" 623713 69168.3 1771 623712 69168.3 1770 0.06441976500794575
"28733" 2433027 71509.2 1569 2433026 71509.2 1568 0.06441976500794575
"1919" 787481 136875.8 2842 787480 136875.8 2841 0.12752942403551987
"1919" 787484 136876.0 2845 787483 136876.0 2844 0.11119510090982554
"1919" 787491 136876.5 2852 787490 136876.5 2851 0.11119510232447394
"1919" 787494 136876.7 2855 787493 136876.7 2854 0.11119510161714974
"1919" 787497 136876.9 2858 787496 136876.9 2857 0.12752941555597483
"1919" 787506 136877.5 2867 787505 136877.5 2866 0.11119510090982554
"1919" 787509 136877.7 2870 787508 136877.7 2869 0.11119510161714974
"1919" 787512 136877.9 2873 787511 136877.9 2872 0.11119510090982554
"1919" 787519 136878.4 2880 787518 136878.4 2879 0.11119510090982554
"1919" 787522 136878.6 2883 787521 136878.6 2882 0.11119510161714974
"1919" 787531 136879.2 2892 787530 136879.2 2891 0.11119510090982554
"1919" 787534 136879.4 2895 787533 136879.4 2894 0.12752939825777979
"1919" 787537 136879.6 2898 787536 136879.6 2897 0.11119510161714974
"1919" 787546 136880.2 2907 787545 136880.2 2906 0.11119510161714974
"1919" 787550 136880.5 2911 787549 136880.5 2910 0.06244513630731429
"1919" 787556 136880.9 2917 787555 136880.9 2916 0.11119510161714974
"1919" 787559 136881.1 2920 787558 136881.1 2919 0.11119510090982554
"1919" 787562 136881.3 2923 787561 136881.3 2922 0.11119510090982554
"1919" 787571 136881.9 2932 787570 136881.9 2931 0.12752938095958766
"1919" 787574 136882.1 2935 787573 136882.1 2934 0.11119510161714974
"1919" 787585 136882.8 2946 787584 136882.8 2945 0.11119510161714974
"1919" 787590 136883.1 2951 787589 136883.1 2950 0.11119510161714974
"1919" 787598 136883.6 2959 787597 136883.6 2958 0.11119510090982554
"1919" 787603 136883.9 2964 787602 136883.9 2963 0.11119510090982554
"1919" 787616 136884.7 2977 787615 136884.7 2976 0.11119510161714974
"1919" 787618 136884.8 2979 787617 136884.8 2978 0.11119510090982554
"1919" 787621 136885.0 2982 787620 136885.0 2981 0.11119510161714974
"1919" 787629 136885.5 2990 787628 136885.5 2989 0.1275293557985862
"1919" 787631 136885.6 2992 787630 136885.6 2991 0.11119510161714974
"1919" 787634 136885.8 2995 787633 136885.8 2994 0.11119510090982554
"1919" 787636 136885.9 2997 787635 136885.9 2996 0.11119510232447394
"1919" 787642 136886.3 3003 787641 136886.3 3002 0.06244505260741443
"1919" 787647 136886.6 3008 787646 136886.6 3007 0.11119510161714974
"1919" 787649 136886.7 3010 787648 136886.7 3009 0.11119510090982554
"1919" 787652 136886.9 3013 787651 136886.9 3012 0.11119510090982554
"1919" 787654 136887.0 3015 787653 136887.0 3014 0.11119510090982554
"1919" 787660 136887.4 3021 787659 136887.4 3020 0.11119510090982554
"1919" 787662 136887.5 3023 787661 136887.5 3022 0.11119510161714974
"1919" 787665 136887.7 3026 787664 136887.7 3025 0.11119510090982554
"1919" 787667 136887.8 3028 787666 136887.8 3027 0.11119510161714974
"1919" 787678 136888.5 3039 787677 136888.5 3038 0.11119510161714974
"1919" 787680 136888.6 3041 787679 136888.6 3040 0.11119510090982554
"1919" 787683 136888.8 3044 787682 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" 3292452 350.5 28 3292451 350.5 27
"43541" 3292463 811.7 39 3292462 811.7 38
"43541" 3292502 1779.8 78 3292501 1779.8 77
"43541" 3292546 3184.3 122 3292545 3184.3 121
"43541" 3292579 4418.1 155 3292578 4418.1 154
"43541" 3292595 4854.6 171 3292594 4854.6 170
"43541" 3292644 6561.9 220 3292643 6561.9 219
"43541" 3292680 7544.1 256 3292679 7544.1 255
"43541" 3292719 8757.6 295 3292718 8757.6 294
"43541" 3292736 9358.6 312 3292735 9358.6 311
"43541" 3292763 9709.1 339 3292762 9709.1 338
"43541" 3292809 10376.7 385 3292808 10376.7 384
"43541" 3292862 11116.1 438 3292861 11116.1 437
"43541" 3292893 11700.4 469 3292892 11700.4 468
"43541" 3292924 12284.8 500 3292923 12284.8 499
"43541" 3293185 14358.7 761 3293184 14358.7 760
"43541" 3293261 14706.8 837 3293260 14706.8 836
"43541" 3293361 15301.6 937 3293360 15301.6 936
"43541" 3293461 15896.4 1037 3293460 15896.4 1036
"43541" 3293537 16244.5 1113 3293536 16244.5 1112
"43541" 3293735 17133.2 1311 3293734 17133.2 1310
"43541" 3293978 18161.9 1554 3293977 18161.9 1553
"43541" 3294003 18472.3 1579 3294002 18472.3 1578
"43541" 3294053 18976.3 1629 3294052 18976.3 1628
"43541" 3294200 19673.4 1776 3294199 19673.4 1775
"43541" 3294429 21285.9 2005 3294428 21285.9 2004
"43541" 3294505 22756.6 2081 3294504 22756.6 2080
"43541" 3294581 24227.3 2157 3294580 24227.3 2156
"43541" 3294620 24719.6 2196 3294619 24719.6 2195
"43541" 3294637 25292.2 2213 3294636 25292.2 2212
"43541" 3294656 25625.9 2232 3294655 25625.9 2231
"43541" 3294744 26736.7 2320 3294743 26736.7 2319
"43541" 3294831 27236.5 2407 3294830 27236.5 2406
"43541" 3294880 28436.1 2456 3294879 28436.1 2455
"43541" 3294919 28928.5 2495 3294918 28928.5 2494
"43541" 3294970 29639.4 2546 3294969 29639.4 2545
"43541" 3295201 30811.2 2777 3295200 30811.2 2776
"43541" 3295277 31159.3 2853 3295276 31159.3 2852
"43541" 3295377 31754.1 2953 3295376 31754.1 2952
"43541" 3295477 32348.9 3053 3295476 32348.9 3052
"43541" 3295553 32697.0 3129 3295552 32697.0 3128
"43541" 3295751 33585.6 3327 3295750 33585.6 3326
"43541" 3296035 35228.5 3611 3296034 35228.5 3610
"43541" 3296088 35967.9 3664 3296087 35967.9 3663
"43541" 3296119 36552.2 3695 3296118 36552.2 3694
"43541" 3296150 37136.6 3726 3296149 37136.6 3725
"43531" 2300966 1036.1 44 2300965 1036.1 43
"43531" 2300995 1669.1 73 2300994 1669.1 72
"43531" 2301022 2285.2 100 2301021 2285.2 99
"43531" 2301063 4091.8 141 2301062 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"
22639 "24601"
2 "1339"
22631 "12709"
9745 "1379"
9 "1461"
22625 "1954"
19428 "20239"
22634 "20237"
22633 "17222"
16288 "17343"
47 "76307"
19466 "76308"
48 "76309"
22635 "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"
19413 "2206"
6443 "2205"
13054 "2218"
16277 "2217"
19416 "2216"
16273 "2213"
22624 "2224"
9761 "2285"
22744 "13564"
13067 "13743"
6447 "2499"
6444 "2685"
13058 "2737"
16280 "2766"
16293 "47502"
19420 "2814"
13062 "2849"
13063 "2852"
16282 "2850"
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.
25826 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 192581 17 "99227" "Krekenava" "14:03:00" 192582 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.
5422 "2699" "7597126"
5459 "2699" "7597138"
5529 "2699" "7597178"
5858 "2699" "7597149"
5991 "2699" "7597161"
6012 "2699" "7597151"
6024 "2699" "7597197"
6183 "2699" "7597193"
6193 "2699" "7597175"
6287 "2699" "7597199"
6324 "2699" "7597200"
6530 "2699" "7597129"
6610 "2699" "7597135"
6615 "2699" "7597165"
6647 "2699" "7597148"
6689 "2699" "7597194"
6701 "2699" "7597131"
6719 "2699" "7597163"
6735 "2699" "7597153"
6787 "2699" "7597173"
6879 "2699" "7597160"
7005 "2699" "7597169"
7311 "2699" "7597183"
7493 "2699" "7597180"
7668 "2699" "7597174"
7678 "2699" "7597139"
7732 "2699" "7597185"
7741 "2699" "7597205"
7752 "2699" "7597145"
7797 "2699" "7597192"
7923 "2699" "7597167"
7927 "2699" "7597134"
7936 "2699" "7597206"
7942 "2699" "7597143"
7953 "2699" "7597190"
7990 "2699" "7597204"
8131 "2699" "7597142"
8161 "2699" "7597207"
8217 "2699" "7597021"
8310 "2699" "7597198"
8422 "2699" "7597184"
8519 "2699" "7597159"
8583 "2699" "7597158"
8751 "2699" "7597162"
8881 "2699" "7597141"
8981 "2699" "7597154"
9016 "2699" "7597182"
12906 "2699" "7597171"
12972 "2699" "7597132"
13041 "2699" "7597191"
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" 3
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 4
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 159
"routes.txt" "route_short_name" "3_VLP" 175
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 213
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 296
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 317
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 328
"routes.txt" "route_short_name" "40-DT" 358
"routes.txt" "route_short_name" "5_VLP" 385
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 421
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 423
"routes.txt" "route_short_name" "94AT" 572
"routes.txt" "route_short_name" "2_VLP" 587
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 636
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 637
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 638
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 639
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 642
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 671
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 746
"routes.txt" "route_short_name" "94-DC" 752
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 754
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 833
"routes.txt" "route_long_name" "JONAVA-KULVA" 837
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 863
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 886
"routes.txt" "route_short_name" "4_VLP" 991
"routes.txt" "route_short_name" "70AC" 1003
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1026
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1030
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1060
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1136
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1139
"routes.txt" "route_short_name" "1A_VLP" 1199
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1247
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1248
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1291
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1292
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1326
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1330
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1360
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1408
"routes.txt" "route_short_name" "2A_VLP" 1420
"routes.txt" "route_short_name" "50AB" 1442
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1449
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1459
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1461
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1462
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.
15235 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14626 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8939 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14608 "43544" "8124133" 271971 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
12899 "43548" "8124139" 272009 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
6218 "26974" "7317010" 42521 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
6218 "26974" "7317010" 42522 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
6218 "26974" "7317010" 42537 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
6619 "16822" "2392140" 25220 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
6590 "16821" "2392136" 25164 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
8418 "16823" "2392142" 25259 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
15409 "18654" "3218451" 28395 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
6210 "32206" "7476586" 54070 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
6210 "32206" "7476586" 54071 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
6210 "32206" "7476586" 54072 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
6210 "32206" "7476586" 54075 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
6210 "32206" "7476586" 54080 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
7104 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6758 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
12942 "29420" "7429613" 48799 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
7963 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13486 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6367 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14986 "14622" "7150732" 41490 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
8240 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5641 "29615" "7432118" 49207 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
13066 "29616" "7432119" 49255 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5 "21886" "60_A2-02-1-241209-ba-0720" 79121 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
11 "21885" "60_A2-02-1-241209-ab-0800" 76479 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
23217 "21887" "60_A2-01-7-060404-ab3-1430" 528333 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
9927 "21891" "60_A2-01-1-241209-ab2-1640" 78956 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
19596 "21865" "60_A2-01-7-060404-b3a-0920" 526383 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
144 "21872" "60_A2-01-6-060404-b2a-1150" 528179 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
6682 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7565 "4710" "47248" 4648 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
14056 "4711" "47250" 4661 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
9087 "11705" "747606" 18312 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5410 "6511" "54508" 10652 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
12945 "6509" "54502" 10601 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
7471 "6513" "54509" 10664 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
14250 "29093" "7413977" 46404 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
6069 "29092" "7413975" 46360 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
7832 "5232" "48166" 5853 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
5757 "44681" "8136898" 283814 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
7798 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6921 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8260 "17131" "2515701" 25662 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
6467 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5324 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5588 "15331" "2211798" 22428 "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.
6951 "3645" "57657" 14647 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14646 "12152" "Jonaičiai" [55.34641499999999,21.570023]
6621 "3667" "57730" 14786 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14785 "13926" "Jonaičiai" [55.346103,21.568929]
6646 "3714" "57735" 14844 "13926" "Jonaičiai" [55.346103,21.568929] 14843 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
8579 "13808" "1228372" 21096 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21095 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
13574 "26489" "7231018" 42083 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 42082 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
13768 "35668" "7652364" 65704 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 65703 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
7220 "28435" "7339430" 43982 "64819" "Suostas" [56.32837413018391,24.713657886432735] 43981 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
14961 "28434" "7339429" 43958 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 43957 "64820" "Suostas" [56.32837775901334,24.713656830174433]
13694 "6591" "57636" 14323 "13926" "Jonaičiai" [55.346103,21.568929] 14322 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
5486 "3554" "57639" 14363 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14362 "12152" "Jonaičiai" [55.34641499999999,21.570023]
5640 "29102" "7413991" 46484 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 46483 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
15184 "40377" "8016002" 106023 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 106022 "97223" "Tarvydai I" [55.328604,21.56423]
7110 "40378" "8016003" 106032 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 106031 "97223" "Tarvydai I" [55.328604,21.56423]
7528 "5353" "57618" 14135 "13926" "Jonaičiai" [55.346103,21.568929] 14134 "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