GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-29T06:08:43+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: 1668
  • Shapes: 4358
  • Stops: 15835
  • Trips: 30708

Specification Compliance report

124739 notices reported (0 errors, 124706 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`.
183 "20827" 333 "20773" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
302 "6209" 343 "18329" "M1" "Alytus - Geniai" 3 "48"
185 "20843" 344 "20767" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
338 "20791" 408 "20858" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
528 "20784" 625 "20840" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
117 "20778" 627 "20833" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
341 "20805" 628 "20828" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
529 "20795" 630 "20831" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
406 "20846" 746 "20787" "M-180" "Kaunas-Aleksotas-Tabariškiai-Girininkai" 3 "14"
624 "20825" 747 "20801" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
745 "20771" 818 "20824" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
113 "20770" 819 "20838" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
744 "20790" 820 "20854" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
116 "20769" 821 "20832" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
180 "20839" 922 "20772" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
405 "20851" 923 "20783" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
189 "20847" 924 "20799" "M-166" "Kaunas-Kačerginė-Zapyškis-SB\"Baldininkas\"" 3 "14"
633 "20850" 925 "20788" "M-168" "Vosiškiai-Babtai" 3 "14"
339 "20789" 1010 "20852" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
334 "20797" 1011 "20835" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
927 "16052" 1075 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
626 "20834" 1148 "20779" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
186 "20860" 1149 "20775" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
411 "20829" 1150 "20793" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
407 "20855" 1151 "20794" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
632 "20823" 1155 "20800" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
409 "20861" 1157 "20785" "M-120" "Karmėlava-Ramučiai" 3 "14"
750 "20777" 1235 "20845" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
182 "20836" 1361 "20781" "M-156" "Kaunas - Neveronys" 3 "14"
184 "20826" 1362 "20782" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
1233 "20842" 1363 "20766" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
410 "20853" 1365 "20804" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
332 "20803" 1441 "20848" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
1156 "20802" 1442 "20849" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
931 "20798" 1443 "20857" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
1152 "20774" 1446 "20841" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
453 "3645" 1466 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
181 "20844" 1568 "20768" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
404 "20837" 1569 "20786" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
1012 "20830" 1570 "20776" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
1232 "20862" 1571 "20796" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
930 "20792" 1650 "20859" "M-151" "Kaunas-Ramučiai" 3 "14"
1364 "20780" 1651 "20856" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 3903

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 3903 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" 502465 29882.7 878 502464 29882.7 877 0.12791084993239907
"2328" 413377 35929.8 642 413376 35929.8 641 0.11119510090982554
"3659" 497515 49657.5 1177 497514 49657.5 1176 0.12791084993239907
"42205" 3655649 57850.1 335 3655648 57850.1 334 0.06178544815632574
"2369" 402181 63265.5 1261 402180 63265.5 1260 0.11119510090982554
"2385" 608429 69168.3 1771 608428 69168.3 1770 0.06441976500794575
"28733" 2350587 71509.2 1569 2350586 71509.2 1568 0.06441976500794575
"1919" 751779 136875.8 2842 751778 136875.8 2841 0.12752942403551987
"1919" 751782 136876.0 2845 751781 136876.0 2844 0.11119510090982554
"1919" 751789 136876.5 2852 751788 136876.5 2851 0.11119510232447394
"1919" 751792 136876.7 2855 751791 136876.7 2854 0.11119510161714974
"1919" 751795 136876.9 2858 751794 136876.9 2857 0.12752941555597483
"1919" 751804 136877.5 2867 751803 136877.5 2866 0.11119510090982554
"1919" 751807 136877.7 2870 751806 136877.7 2869 0.11119510161714974
"1919" 751810 136877.9 2873 751809 136877.9 2872 0.11119510090982554
"1919" 751817 136878.4 2880 751816 136878.4 2879 0.11119510090982554
"1919" 751820 136878.6 2883 751819 136878.6 2882 0.11119510161714974
"1919" 751829 136879.2 2892 751828 136879.2 2891 0.11119510090982554
"1919" 751832 136879.4 2895 751831 136879.4 2894 0.12752939825777979
"1919" 751835 136879.6 2898 751834 136879.6 2897 0.11119510161714974
"1919" 751844 136880.2 2907 751843 136880.2 2906 0.11119510161714974
"1919" 751848 136880.5 2911 751847 136880.5 2910 0.06244513630731429
"1919" 751854 136880.9 2917 751853 136880.9 2916 0.11119510161714974
"1919" 751857 136881.1 2920 751856 136881.1 2919 0.11119510090982554
"1919" 751860 136881.3 2923 751859 136881.3 2922 0.11119510090982554
"1919" 751869 136881.9 2932 751868 136881.9 2931 0.12752938095958766
"1919" 751872 136882.1 2935 751871 136882.1 2934 0.11119510161714974
"1919" 751883 136882.8 2946 751882 136882.8 2945 0.11119510161714974
"1919" 751888 136883.1 2951 751887 136883.1 2950 0.11119510161714974
"1919" 751896 136883.6 2959 751895 136883.6 2958 0.11119510090982554
"1919" 751901 136883.9 2964 751900 136883.9 2963 0.11119510090982554
"1919" 751914 136884.7 2977 751913 136884.7 2976 0.11119510161714974
"1919" 751916 136884.8 2979 751915 136884.8 2978 0.11119510090982554
"1919" 751919 136885.0 2982 751918 136885.0 2981 0.11119510161714974
"1919" 751927 136885.5 2990 751926 136885.5 2989 0.1275293557985862
"1919" 751929 136885.6 2992 751928 136885.6 2991 0.11119510161714974
"1919" 751932 136885.8 2995 751931 136885.8 2994 0.11119510090982554
"1919" 751934 136885.9 2997 751933 136885.9 2996 0.11119510232447394
"1919" 751940 136886.3 3003 751939 136886.3 3002 0.06244505260741443
"1919" 751945 136886.6 3008 751944 136886.6 3007 0.11119510161714974
"1919" 751947 136886.7 3010 751946 136886.7 3009 0.11119510090982554
"1919" 751950 136886.9 3013 751949 136886.9 3012 0.11119510090982554
"1919" 751952 136887.0 3015 751951 136887.0 3014 0.11119510090982554
"1919" 751958 136887.4 3021 751957 136887.4 3020 0.11119510090982554
"1919" 751960 136887.5 3023 751959 136887.5 3022 0.11119510161714974
"1919" 751963 136887.7 3026 751962 136887.7 3025 0.11119510090982554
"1919" 751965 136887.8 3028 751964 136887.8 3027 0.11119510161714974
"1919" 751976 136888.5 3039 751975 136888.5 3038 0.11119510161714974
"1919" 751978 136888.6 3041 751977 136888.6 3040 0.11119510090982554
"1919" 751981 136888.8 3044 751980 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 20095

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 20095 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" 3241582 350.5 28 3241581 350.5 27
"43541" 3241593 811.7 39 3241592 811.7 38
"43541" 3241632 1779.8 78 3241631 1779.8 77
"43541" 3241676 3184.3 122 3241675 3184.3 121
"43541" 3241709 4418.1 155 3241708 4418.1 154
"43541" 3241725 4854.6 171 3241724 4854.6 170
"43541" 3241774 6561.9 220 3241773 6561.9 219
"43541" 3241810 7544.1 256 3241809 7544.1 255
"43541" 3241849 8757.6 295 3241848 8757.6 294
"43541" 3241866 9358.6 312 3241865 9358.6 311
"43541" 3241893 9709.1 339 3241892 9709.1 338
"43541" 3241939 10376.7 385 3241938 10376.7 384
"43541" 3241992 11116.1 438 3241991 11116.1 437
"43541" 3242023 11700.4 469 3242022 11700.4 468
"43541" 3242054 12284.8 500 3242053 12284.8 499
"43541" 3242315 14358.7 761 3242314 14358.7 760
"43541" 3242391 14706.8 837 3242390 14706.8 836
"43541" 3242491 15301.6 937 3242490 15301.6 936
"43541" 3242591 15896.4 1037 3242590 15896.4 1036
"43541" 3242667 16244.5 1113 3242666 16244.5 1112
"43541" 3242865 17133.2 1311 3242864 17133.2 1310
"43541" 3243108 18161.9 1554 3243107 18161.9 1553
"43541" 3243133 18472.3 1579 3243132 18472.3 1578
"43541" 3243183 18976.3 1629 3243182 18976.3 1628
"43541" 3243330 19673.4 1776 3243329 19673.4 1775
"43541" 3243559 21285.9 2005 3243558 21285.9 2004
"43541" 3243635 22756.6 2081 3243634 22756.6 2080
"43541" 3243711 24227.3 2157 3243710 24227.3 2156
"43541" 3243750 24719.6 2196 3243749 24719.6 2195
"43541" 3243767 25292.2 2213 3243766 25292.2 2212
"43541" 3243786 25625.9 2232 3243785 25625.9 2231
"43541" 3243874 26736.7 2320 3243873 26736.7 2319
"43541" 3243961 27236.5 2407 3243960 27236.5 2406
"43541" 3244010 28436.1 2456 3244009 28436.1 2455
"43541" 3244049 28928.5 2495 3244048 28928.5 2494
"43541" 3244100 29639.4 2546 3244099 29639.4 2545
"43541" 3244331 30811.2 2777 3244330 30811.2 2776
"43541" 3244407 31159.3 2853 3244406 31159.3 2852
"43541" 3244507 31754.1 2953 3244506 31754.1 2952
"43541" 3244607 32348.9 3053 3244606 32348.9 3052
"43541" 3244683 32697.0 3129 3244682 32697.0 3128
"43541" 3244881 33585.6 3327 3244880 33585.6 3326
"43541" 3245165 35228.5 3611 3245164 35228.5 3610
"43541" 3245218 35967.9 3664 3245217 35967.9 3663
"43541" 3245249 36552.2 3695 3245248 36552.2 3694
"43541" 3245280 37136.6 3726 3245279 37136.6 3725
"43531" 2217437 1036.1 44 2217436 1036.1 43
"43531" 2217466 1669.1 73 2217465 1669.1 72
"43531" 2217493 2285.2 100 2217492 2285.2 99
"43531" 2217534 4091.8 141 2217533 4091.8 140
expired_calendar WARNING 111

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 111 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
15241 "73305"
3459 "73341"
16624 "87984"
3404 "1256"
3400 "1271"
13921 "1294"
24152 "24601"
2 "1339"
24144 "12709"
10411 "1379"
9 "1461"
24138 "1954"
7136 "58746"
10299 "93038"
13830 "93037"
6740 "93033"
3307 "93032"
15002 "71647"
20713 "20239"
24147 "20237"
23146 "83774"
3421 "44517"
24146 "17222"
17379 "17343"
17799 "66542"
12444 "78771"
45 "76307"
20746 "76308"
46 "76309"
16164 "78926"
18222 "76522"
20144 "88684"
24148 "13033"
16148 "76773"
3413 "13105"
17413 "76816"
12 "2009"
14 "2022"
13939 "2066"
27003 "88977"
10424 "2111"
17370 "2123"
13941 "2137"
13979 "62494"
6861 "2158"
6864 "2175"
6866 "2173"
20698 "2206"
6867 "2205"
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.
11768 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 163186 17 "99227" "Krekenava" "14:03:00" 163187 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.
1469 "2699" "7597127"
1544 "2699" "7597166"
1603 "2699" "7597177"
1666 "2699" "7597202"
1750 "2699" "7597125"
1830 "2699" "7597210"
1838 "2699" "7597201"
1840 "2699" "7597172"
1876 "2699" "7597170"
1916 "2699" "7597140"
1982 "2699" "7597164"
1993 "2699" "7597176"
2012 "2699" "7597137"
2130 "2699" "7597196"
2153 "2699" "7597144"
2405 "2699" "7597155"
2451 "2699" "7597146"
2808 "2699" "7597188"
2811 "2699" "7597203"
2820 "2699" "7597157"
6334 "2699" "7597174"
6344 "2699" "7597139"
6398 "2699" "7597149"
6508 "2699" "7597160"
6627 "2699" "7597169"
6721 "2699" "7597193"
6731 "2699" "7597175"
6915 "2699" "7597183"
6967 "2699" "7597148"
7094 "2699" "7597129"
7102 "2699" "7597180"
7240 "2699" "7597194"
7251 "2699" "7597131"
7269 "2699" "7597163"
7314 "2699" "7597153"
7367 "2699" "7597173"
7419 "2699" "7597192"
7707 "2699" "7597167"
7711 "2699" "7597134"
7720 "2699" "7597206"
7726 "2699" "7597143"
7737 "2699" "7597190"
7773 "2699" "7597204"
7818 "2699" "7597136"
7859 "2699" "7597211"
7897 "2699" "7597208"
8063 "2699" "7597142"
8092 "2699" "7597207"
8132 "2699" "7597021"
8205 "2699" "7597132"
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 371

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 371 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" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 98
"routes.txt" "route_short_name" "3_VLP" 197
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 198
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 199
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 200
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 201
"routes.txt" "route_long_name" "JONAVA-KULVA" 202
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 203
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 204
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 223
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 349
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 365
"routes.txt" "route_short_name" "40-DT" 384
"routes.txt" "route_long_name" "JONAVA-RUKLA" 426
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 427
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 428
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 429
"routes.txt" "route_short_name" "5_VLP" 430
"routes.txt" "route_short_name" "94AT" 578
"routes.txt" "route_short_name" "2_VLP" 639
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 641
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 673
"routes.txt" "route_short_name" "94-DC" 678
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 679
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 728
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 830
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 831
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 832
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 833
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 885
"routes.txt" "route_short_name" "70AC" 887
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 1027
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1028
"routes.txt" "route_short_name" "4_VLP" 1029
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1072
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1105
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1138
"routes.txt" "route_short_name" "1A_VLP" 1246
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 1247
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1248
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1272
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1287
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1303
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1317
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1336
"routes.txt" "route_short_name" "50AB" 1352
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1426
"routes.txt" "route_short_name" "2A_VLP" 1451
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1464
stop_too_far_from_shape WARNING 48

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.
8765 "3636" "45756" 2666 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8450 "3651" "45771" 2695 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
10231 "3653" "45773" 2696 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
7592 "43544" "8124133" 225264 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
9766 "43548" "8124139" 225302 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
2164 "26974" "7317018" 41376 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
2164 "26974" "7317018" 41377 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
2164 "26974" "7317018" 41392 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
8835 "18654" "3218451" 27813 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
2381 "32206" "7476585" 52292 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
2381 "32206" "7476585" 52293 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
2381 "32206" "7476585" 52294 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
2381 "32206" "7476585" 52297 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
2381 "32206" "7476585" 52302 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
7661 "3899" "46086" 2804 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7338 "3014" "43694" 1918 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
8175 "29420" "7429613" 47395 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
7747 "4529" "46899" 3740 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2214 "4527" "47691" 5254 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10539 "4528" "47692" 5255 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1714 "14622" "7150732" 40209 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
8357 "2821" "45017" 2590 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8559 "29615" "7432118" 47803 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
10818 "29616" "7432119" 47851 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1252 "21886" "60_A4-01-6-241028-ba-0730" 430377 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1131 "21885" "60_A2-02-6-060404-ab-1740" 429574 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1091 "21887" "60_A2-01-7-060404-ab3-1100" 431153 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1102 "21891" "60_A2-01-7-060404-ab2-0730" 431005 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
5126 "21865" "60_A2-01-7-060404-b3a-1150" 430001 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1106 "21872" "60_A2-02-6-060404-b2a-2020" 430267 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
7232 "3339" "46943" 3741 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2590 "4710" "47249" 4472 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
1976 "4711" "47251" 4485 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
9644 "11705" "747606" 18192 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9014 "6511" "54507" 10452 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
7868 "6509" "54501" 10398 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
8029 "6513" "54509" 10476 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
1751 "29093" "7413976" 45001 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
10331 "29092" "7413975" 44971 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
7454 "5232" "48166" 5665 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
8376 "44681" "8136900" 236450 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
7420 "3514" "45563" 2613 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6550 "3537" "45591" 2638 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8377 "17131" "2515701" 25152 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
7032 "3574" "45644" 2639 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10419 "3617" "45754" 2665 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
8815 "15331" "2211799" 22184 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
9598 "15330" "2211797" 22171 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 15

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.
6573 "3645" "57657" 14509 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14508 "12152" "Jonaičiai" [55.34641499999999,21.570023]
9561 "3667" "57730" 14648 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14647 "13926" "Jonaičiai" [55.346103,21.568929]
2332 "3714" "57736" 14722 "13926" "Jonaičiai" [55.346103,21.568929] 14721 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
9841 "13808" "1228372" 20868 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20867 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
2304 "26489" "7231018" 40802 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 40801 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
2397 "35668" "7652364" 63337 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 63336 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
6833 "28435" "7339430" 42701 "64819" "Suostas" [56.32837413018391,24.713657886432735] 42700 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
1689 "28434" "7339429" 42677 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 42676 "64820" "Suostas" [56.32837775901334,24.713656830174433]
2323 "6591" "57636" 14185 "13926" "Jonaičiai" [55.346103,21.568929] 14184 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
6467 "3554" "57643" 14313 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14312 "12152" "Jonaičiai" [55.34641499999999,21.570023]
8558 "29102" "7413991" 45095 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 45094 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
1816 "40377" "8016002" 100731 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 100730 "97223" "Tarvydai I" [55.328604,21.56423]
7667 "40378" "8016003" 100740 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 100739 "97223" "Tarvydai I" [55.328604,21.56423]
1533 "5353" "57623" 14031 "13926" "Jonaičiai" [55.346103,21.568929] 14030 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
8399 "54901" "8226897" 546376 "45588" "Balbieriškis" [54.524770000000004,23.885448] 546375 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
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