GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-01-12T06:08:49+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

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

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

Summary

Agencies included


Feed Info


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

Files included


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

Counts


  • Agencies: 41
  • Blocks: 0
  • Routes: 1410
  • Shapes: 3709
  • Stops: 13612
  • Trips: 22773

Specification Compliance report

121181 notices reported (0 errors, 121148 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 45

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`.
110 "18656" 111 "18629" "M-168" "Kaunas-Šilainiai-Giraitė-Užliedžiai" 3 "14"
225 "18622" 229 "18646" "M-168" "Kaunas-Giraitė-Užliedžiai-Babtai-Vosiškiai" 3 "14"
215 "18329" 334 "6209" "M1" "Alytus - Geniai" 3 "48"
183 "18680" 381 "18664" "M-101" "Kauno pilis-Giraitė-Užliedžiai" 3 "14"
205 "18688" 383 "18662" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
264 "18683" 388 "18623" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
386 "18626" 389 "18641" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
202 "18659" 410 "18630" "M-156" "Kaunas - Neveronys" 3 "14"
52 "18611" 411 "18625" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
32 "18672" 565 "18678" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
549 "18613" 567 "18687" "M-151" "Kaunas-Ramučiai" 3 "14"
563 "18612" 573 "18637" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
294 "18621" 651 "18644" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
412 "18655" 736 "18627" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
228 "18635" 756 "18663" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
592 "18653" 758 "18658" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
759 "18673" 770 "18657" "M-168" "Vosiškiai-Babtai" 3 "14"
564 "18645" 879 "18632" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
35 "18631" 892 "18640" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
733 "18685" 893 "18616" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
204 "18619" 897 "18610" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
53 "18618" 900 "18615" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
898 "18670" 902 "18676" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
754 "18649" 923 "18671" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
230 "18609" 925 "18643" "M-146" "Kaunas-Žiegždriai" 3 "14"
755 "18617" 930 "18681" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
384 "18614" 948 "18686" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
255 "18648" 949 "18690" "M-120" "Karmėlava-Ramučiai" 3 "14"
765 "16052" 972 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
924 "18624" 1070 "18684" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
385 "18689" 1072 "18674" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
896 "18647" 1074 "18682" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
413 "18701" 1095 "18702" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
1154 "18677" 1156 "18666" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
1239 "18636" 1240 "18665" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
1067 "18639" 1256 "18633" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
1094 "18652" 1257 "18667" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
1073 "18642" 1262 "18620" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
568 "18679" 1281 "18669" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
227 "18668" 1282 "18628" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
921 "18661" 1283 "18651" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
922 "18634" 1284 "18660" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
757 "18654" 1285 "18675" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
434 "3645" 1297 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
113 "18638" 1348 "18650" "M-101A" "Kauno pilis-Šilainiai-Giraitė-Užliedžiai" 3 "14"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4151

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 4151 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" 506071 29882.7 878 506070 29882.7 877 0.12791084993239907
"2328" 410889 35929.8 642 410888 35929.8 641 0.11119510090982554
"3659" 501121 49657.5 1177 501120 49657.5 1176 0.12791084993239907
"42205" 3181766 57850.1 335 3181765 57850.1 334 0.06178544815632574
"2369" 396138 63265.5 1261 396137 63265.5 1260 0.11119510090982554
"2385" 611143 69168.3 1771 611142 69168.3 1770 0.06441976500794575
"28733" 2306515 71509.2 1569 2306514 71509.2 1568 0.06441976500794575
"1919" 777854 136875.8 2842 777853 136875.8 2841 0.12752942403551987
"1919" 777857 136876.0 2845 777856 136876.0 2844 0.11119510090982554
"1919" 777864 136876.5 2852 777863 136876.5 2851 0.11119510232447394
"1919" 777867 136876.7 2855 777866 136876.7 2854 0.11119510161714974
"1919" 777870 136876.9 2858 777869 136876.9 2857 0.12752941555597483
"1919" 777879 136877.5 2867 777878 136877.5 2866 0.11119510090982554
"1919" 777882 136877.7 2870 777881 136877.7 2869 0.11119510161714974
"1919" 777885 136877.9 2873 777884 136877.9 2872 0.11119510090982554
"1919" 777892 136878.4 2880 777891 136878.4 2879 0.11119510090982554
"1919" 777895 136878.6 2883 777894 136878.6 2882 0.11119510161714974
"1919" 777904 136879.2 2892 777903 136879.2 2891 0.11119510090982554
"1919" 777907 136879.4 2895 777906 136879.4 2894 0.12752939825777979
"1919" 777910 136879.6 2898 777909 136879.6 2897 0.11119510161714974
"1919" 777919 136880.2 2907 777918 136880.2 2906 0.11119510161714974
"1919" 777923 136880.5 2911 777922 136880.5 2910 0.06244513630731429
"1919" 777929 136880.9 2917 777928 136880.9 2916 0.11119510161714974
"1919" 777932 136881.1 2920 777931 136881.1 2919 0.11119510090982554
"1919" 777935 136881.3 2923 777934 136881.3 2922 0.11119510090982554
"1919" 777944 136881.9 2932 777943 136881.9 2931 0.12752938095958766
"1919" 777947 136882.1 2935 777946 136882.1 2934 0.11119510161714974
"1919" 777958 136882.8 2946 777957 136882.8 2945 0.11119510161714974
"1919" 777963 136883.1 2951 777962 136883.1 2950 0.11119510161714974
"1919" 777971 136883.6 2959 777970 136883.6 2958 0.11119510090982554
"1919" 777976 136883.9 2964 777975 136883.9 2963 0.11119510090982554
"1919" 777989 136884.7 2977 777988 136884.7 2976 0.11119510161714974
"1919" 777991 136884.8 2979 777990 136884.8 2978 0.11119510090982554
"1919" 777994 136885.0 2982 777993 136885.0 2981 0.11119510161714974
"1919" 778002 136885.5 2990 778001 136885.5 2989 0.1275293557985862
"1919" 778004 136885.6 2992 778003 136885.6 2991 0.11119510161714974
"1919" 778007 136885.8 2995 778006 136885.8 2994 0.11119510090982554
"1919" 778009 136885.9 2997 778008 136885.9 2996 0.11119510232447394
"1919" 778015 136886.3 3003 778014 136886.3 3002 0.06244505260741443
"1919" 778020 136886.6 3008 778019 136886.6 3007 0.11119510161714974
"1919" 778022 136886.7 3010 778021 136886.7 3009 0.11119510090982554
"1919" 778025 136886.9 3013 778024 136886.9 3012 0.11119510090982554
"1919" 778027 136887.0 3015 778026 136887.0 3014 0.11119510090982554
"1919" 778033 136887.4 3021 778032 136887.4 3020 0.11119510090982554
"1919" 778035 136887.5 3023 778034 136887.5 3022 0.11119510161714974
"1919" 778038 136887.7 3026 778037 136887.7 3025 0.11119510090982554
"1919" 778040 136887.8 3028 778039 136887.8 3027 0.11119510161714974
"1919" 778051 136888.5 3039 778050 136888.5 3038 0.11119510161714974
"1919" 778053 136888.6 3041 778052 136888.6 3040 0.11119510090982554
"1919" 778056 136888.8 3044 778055 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 15623

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 15623 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" 3017779 350.5 28 3017778 350.5 27
"43541" 3017790 811.7 39 3017789 811.7 38
"43541" 3017829 1779.8 78 3017828 1779.8 77
"43541" 3017873 3184.3 122 3017872 3184.3 121
"43541" 3017906 4418.1 155 3017905 4418.1 154
"43541" 3017922 4854.6 171 3017921 4854.6 170
"43541" 3017971 6561.9 220 3017970 6561.9 219
"43541" 3018007 7544.1 256 3018006 7544.1 255
"43541" 3018046 8757.6 295 3018045 8757.6 294
"43541" 3018063 9358.6 312 3018062 9358.6 311
"43541" 3018090 9709.1 339 3018089 9709.1 338
"43541" 3018136 10376.7 385 3018135 10376.7 384
"43541" 3018189 11116.1 438 3018188 11116.1 437
"43541" 3018220 11700.4 469 3018219 11700.4 468
"43541" 3018251 12284.8 500 3018250 12284.8 499
"43541" 3018512 14358.7 761 3018511 14358.7 760
"43541" 3018588 14706.8 837 3018587 14706.8 836
"43541" 3018688 15301.6 937 3018687 15301.6 936
"43541" 3018788 15896.4 1037 3018787 15896.4 1036
"43541" 3018864 16244.5 1113 3018863 16244.5 1112
"43541" 3019062 17133.2 1311 3019061 17133.2 1310
"43541" 3019305 18161.9 1554 3019304 18161.9 1553
"43541" 3019330 18472.3 1579 3019329 18472.3 1578
"43541" 3019380 18976.3 1629 3019379 18976.3 1628
"43541" 3019527 19673.4 1776 3019526 19673.4 1775
"43541" 3019756 21285.9 2005 3019755 21285.9 2004
"43541" 3019832 22756.6 2081 3019831 22756.6 2080
"43541" 3019908 24227.3 2157 3019907 24227.3 2156
"43541" 3019947 24719.6 2196 3019946 24719.6 2195
"43541" 3019964 25292.2 2213 3019963 25292.2 2212
"43541" 3019983 25625.9 2232 3019982 25625.9 2231
"43541" 3020071 26736.7 2320 3020070 26736.7 2319
"43541" 3020158 27236.5 2407 3020157 27236.5 2406
"43541" 3020207 28436.1 2456 3020206 28436.1 2455
"43541" 3020246 28928.5 2495 3020245 28928.5 2494
"43541" 3020297 29639.4 2546 3020296 29639.4 2545
"43541" 3020528 30811.2 2777 3020527 30811.2 2776
"43541" 3020604 31159.3 2853 3020603 31159.3 2852
"43541" 3020704 31754.1 2953 3020703 31754.1 2952
"43541" 3020804 32348.9 3053 3020803 32348.9 3052
"43541" 3020880 32697.0 3129 3020879 32697.0 3128
"43541" 3021078 33585.6 3327 3021077 33585.6 3326
"43541" 3021362 35228.5 3611 3021361 35228.5 3610
"43541" 3021415 35967.9 3664 3021414 35967.9 3663
"43541" 3021446 36552.2 3695 3021445 36552.2 3694
"43541" 3021477 37136.6 3726 3021476 37136.6 3725
"42206" 3181937 20641.7 108 3181936 20641.7 107
"42206" 3181960 24205.9 131 3181959 24205.9 130
"43537" 3202234 310.3 26 3202233 310.3 25
"43537" 3202247 811.7 39 3202246 811.7 38
expired_calendar WARNING 68

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

Only the first 50 of 68 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
7564 "13743"
1903 "73341"
3728 "2499"
1850 "1256"
1846 "1271"
7529 "1294"
13130 "24602"
2 "1339"
3725 "2685"
13127 "12709"
5637 "1379"
7555 "2737"
9426 "2766"
1866 "60347"
8 "1461"
9439 "47502"
11276 "2814"
7559 "2849"
7560 "2852"
9428 "2850"
5652 "2980"
9427 "2975"
3726 "2974"
11275 "2972"
9452 "60928"
9448 "60959"
7573 "47985"
13121 "1954"
3753 "60890"
11284 "20239"
13131 "20237"
13129 "17222"
11282 "31530"
9434 "17343"
23 "43774"
13116 "678"
7528 "973"
60 "76307"
11330 "76308"
61 "76309"
13124 "3000"
3727 "3012"
13132 "13033"
1857 "13105"
9489 "76816"
11 "2009"
13 "2022"
9444 "48071"
25 "48073"
fast_travel_between_consecutive_stops WARNING 2

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

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

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
3596 "8093432" "17272" 196.9887428340989 3.283145713901648 215590 17 "99227" "Krekenava" "14:03:00" 215591 18 "99243" "Rabikiai" "14:03:00"
239 "8091136" "17220" 196.9887428340989 3.283145713901648 197280 17 "98468" "Krekenava" "14:03:00" 197281 18 "98476" "Rabikiai" "14:03:00"
missing_bike_allowance WARNING 118

missing_bike_allowance

Ferry trips should include bike allowance information.

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

You can see more about this notice here.

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

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
65 "2699" "7597125"
67 "2699" "7597126"
68 "2699" "7597127"
111 "2699" "7597150"
112 "2699" "7597151"
113 "2699" "7597153"
114 "2699" "7597154"
124 "2699" "7597155"
125 "2699" "7597156"
126 "2699" "7597157"
127 "2699" "7597158"
128 "2699" "7597159"
129 "2699" "7597160"
130 "2699" "7597161"
142 "2699" "7597162"
143 "2699" "7597163"
149 "2699" "7597164"
151 "2699" "7597165"
152 "2699" "7597166"
153 "2699" "7597167"
1401 "2699" "7597169"
6982 "2699" "7597128"
6983 "2699" "7597129"
6984 "2699" "7597130"
6985 "2699" "7597131"
6986 "2699" "7597132"
7076 "2699" "7597133"
7077 "2699" "7597134"
7078 "2699" "7597135"
7079 "2699" "7597136"
7080 "2699" "7597137"
7081 "2699" "7597138"
7082 "2699" "7597139"
7096 "2699" "7597174"
7142 "2699" "7597140"
7143 "2699" "7597141"
7144 "2699" "7597142"
7145 "2699" "7597143"
7146 "2699" "7597144"
7147 "2699" "7597180"
7150 "2699" "7597181"
7151 "2699" "7597175"
7152 "2699" "7597176"
7153 "2699" "7597177"
7154 "2699" "7597178"
7208 "2699" "7597145"
7209 "2699" "7597146"
7218 "2699" "7597182"
7219 "2699" "7597183"
7220 "2699" "7597184"
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 1066

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 1066 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\"" 41
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 50
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 57
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 60
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 123
"routes.txt" "route_short_name" "1A_VLP" 194
"routes.txt" "route_short_name" "523_VLP" 195
"routes.txt" "route_short_name" "518_VLP" 201
"routes.txt" "route_short_name" "40-DT" 231
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 232
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 233
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 235
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 250
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 305
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 363
"routes.txt" "route_short_name" "2_VLP" 372
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 406
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 414
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 415
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 417
"routes.txt" "route_short_name" "94AT" 438
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 588
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 600
"routes.txt" "route_long_name" "JONAVA-KULVA" 603
"routes.txt" "route_short_name" "94-DC" 620
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 633
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 645
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 753
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 764
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 805
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 822
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 832
"routes.txt" "route_short_name" "2A_VLP" 882
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 899
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 928
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 981
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1046
"routes.txt" "route_short_name" "1_VLP" 1052
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1088
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1109
"routes.txt" "route_short_name" "50AB" 1126
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1128
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1190
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 1219
"routes.txt" "route_short_name" "5_VLP" 1236
"routes.txt" "route_short_name" "3_VLP" 1242
"routes.txt" "route_short_name" "4_VLP" 1243
"routes.txt" "route_short_name" "787_VLP" 1246
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1266
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1268
stop_too_far_from_shape WARNING 62

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 62 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.
20338 "3636" "45756" 3530 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
20339 "3651" "45771" 3559 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19930 "3653" "45773" 3560 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
11183 "43544" "8124133" 343784 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
11188 "43548" "8124139" 343822 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
7084 "26974" "7317010" 37031 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
7084 "26974" "7317010" 37032 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
7084 "26974" "7317010" 37047 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
2280 "47096" "8163284" 392615 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
1263 "29329" "7418310" 44600 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
16606 "29328" "7418309" 44577 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
20025 "6003" "52856" 6512 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19994 "6005" "52858" 6521 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
20007 "6004" "52857" 6517 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
19702 "6007" "52859" 6528 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
20012 "6008" "52860" 6533 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
13660 "16822" "2392138" 20772 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
13656 "16821" "2392134" 20732 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
13663 "16823" "2392141" 20827 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
16213 "18654" "3218451" 23015 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
6800 "32206" "7476583" 50505 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
6800 "32206" "7476583" 50506 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
6800 "32206" "7476583" 50507 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
6800 "32206" "7476583" 50510 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
6800 "32206" "7476583" 50515 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
19969 "3899" "46086" 3668 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20297 "3014" "43694" 2693 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
20766 "37872" "7870674" 71919 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
3432 "29420" "7429613" 45137 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
20320 "4529" "46899" 4491 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20329 "4527" "47691" 5680 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20288 "4528" "47692" 5681 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13432 "14622" "7150733" 36120 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
20307 "2821" "45017" 3454 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14477 "29615" "7432118" 45647 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
3000 "29616" "7432119" 45695 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
2681 "21886" "8128860" 346101 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
2098 "21885" "8128771" 344716 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
8270 "21887" "8128791" 345046 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2675 "21891" "8128924" 347108 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
8240 "21865" "8128780" 344843 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
2107 "21872" "8128779" 344824 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
20631 "3339" "46943" 4492 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14693 "11705" "747606" 15159 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20035 "6511" "54507" 9135 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19674 "6509" "54501" 9081 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
20037 "6513" "54509" 9159 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
17566 "29093" "7413976" 42403 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
17565 "29092" "7413975" 42373 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
14824 "5232" "56646" 9345 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
stops_match_shape_out_of_order WARNING 12

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.
14557 "3645" "57657" 11360 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11359 "12152" "Jonaičiai" [55.34641499999999,21.570023]
14533 "3667" "57730" 11499 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11498 "13926" "Jonaičiai" [55.346103,21.568929]
14534 "3714" "57736" 11573 "13926" "Jonaičiai" [55.346103,21.568929] 11572 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
22261 "13808" "1228372" 16890 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16889 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
17849 "28435" "7339430" 39895 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39894 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
17847 "28434" "7339429" 39871 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39870 "64820" "Suostas" [56.32837775901334,24.713656830174433]
14530 "6591" "57635" 11020 "13926" "Jonaičiai" [55.346103,21.568929] 11019 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
14589 "3554" "57639" 11076 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11075 "12152" "Jonaičiai" [55.34641499999999,21.570023]
9631 "29102" "7413991" 42497 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42496 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
7094 "40377" "8016002" 94656 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 94655 "97223" "Tarvydai I" [55.328604,21.56423]
8608 "40378" "8016003" 94665 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 94664 "97223" "Tarvydai I" [55.328604,21.56423]
14797 "5353" "57618" 10848 "13926" "Jonaičiai" [55.346103,21.568929] 10847 "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