GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-28T07:03:50+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: 42
  • Blocks: 0
  • Routes: 1363
  • Shapes: 3480
  • Stops: 12919
  • Trips: 21691

Specification Compliance report

119460 notices reported (0 errors, 119427 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`.
25 "19842" 192 "19843" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
30 "19885" 198 "19888" "M-168" "Vosiškiai-Babtai" 3 "14"
218 "18329" 294 "6209" "M1" "Alytus - Geniai" 3 "48"
193 "19846" 362 "19851" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
195 "19827" 364 "19828" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
205 "19878" 371 "19877" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
38 "19895" 374 "19894" "M-151" "Kaunas-Ramučiai" 3 "14"
531 "19837" 532 "19836" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
365 "19821" 533 "19900" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
535 "19874" 536 "19872" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
694 "19859" 696 "19857" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
194 "19886" 697 "19884" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
29 "19897" 698 "19896" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
534 "19862" 699 "19867" "M-168" "Kaunas-Šilainiai-Giraitė-Užliedžiai" 3 "14"
547 "19890" 704 "19889" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
37 "19830" 705 "19832" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
189 "19814" 853 "19815" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
858 "19869" 859 "19868" "M-101" "Kauno pilis-Giraitė-Užliedžiai" 3 "14"
28 "19826" 860 "19824" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
197 "19839" 861 "19840" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
542 "19871" 862 "19891" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
700 "19856" 863 "19865" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
368 "19853" 866 "19855" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
703 "19844" 867 "19845" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
549 "19858" 872 "19860" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
720 "16052" 908 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
196 "19854" 1027 "19852" "M-101A" "Kauno pilis-Šilainiai-Giraitė-Užliedžiai" 3 "14"
366 "19849" 1028 "19847" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
32 "19823" 1030 "19822" "M-146" "Kaunas-Žiegždriai" 3 "14"
551 "19863" 1031 "19861" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
541 "19882" 1035 "19883" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
36 "19866" 1036 "19864" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
857 "19825" 1202 "19829" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
26 "19875" 1203 "19880" "M-156" "Kaunas - Neveronys" 3 "14"
27 "19838" 1204 "19841" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
1205 "19876" 1206 "19879" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
1207 "19901" 1208 "19902" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
363 "19887" 1209 "19881" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
701 "19835" 1210 "19834" "M-168" "Kaunas-Giraitė-Užliedžiai-Babtai-Vosiškiai" 3 "14"
695 "19850" 1211 "19848" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
361 "19831" 1212 "19833" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
200 "19873" 1216 "19870" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
546 "19893" 1217 "19892" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
1230 "19898" 1231 "19899" "M-120" "Karmėlava-Ramučiai" 3 "14"
383 "3645" 1264 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4150

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 4150 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" 481888 29882.7 878 481887 29882.7 877 0.12791084993239907
"2328" 390029 35929.8 642 390028 35929.8 641 0.11119510090982554
"3659" 476938 49657.5 1177 476937 49657.5 1176 0.12791084993239907
"42205" 3207285 57850.1 335 3207284 57850.1 334 0.06178544815632574
"2369" 375278 63265.5 1261 375277 63265.5 1260 0.11119510090982554
"2385" 586960 69168.3 1771 586959 69168.3 1770 0.06441976500794575
"28733" 2253769 71509.2 1569 2253768 71509.2 1568 0.06441976500794575
"1919" 748109 136875.8 2842 748108 136875.8 2841 0.12752942403551987
"1919" 748112 136876.0 2845 748111 136876.0 2844 0.11119510090982554
"1919" 748119 136876.5 2852 748118 136876.5 2851 0.11119510232447394
"1919" 748122 136876.7 2855 748121 136876.7 2854 0.11119510161714974
"1919" 748125 136876.9 2858 748124 136876.9 2857 0.12752941555597483
"1919" 748134 136877.5 2867 748133 136877.5 2866 0.11119510090982554
"1919" 748137 136877.7 2870 748136 136877.7 2869 0.11119510161714974
"1919" 748140 136877.9 2873 748139 136877.9 2872 0.11119510090982554
"1919" 748147 136878.4 2880 748146 136878.4 2879 0.11119510090982554
"1919" 748150 136878.6 2883 748149 136878.6 2882 0.11119510161714974
"1919" 748159 136879.2 2892 748158 136879.2 2891 0.11119510090982554
"1919" 748162 136879.4 2895 748161 136879.4 2894 0.12752939825777979
"1919" 748165 136879.6 2898 748164 136879.6 2897 0.11119510161714974
"1919" 748174 136880.2 2907 748173 136880.2 2906 0.11119510161714974
"1919" 748178 136880.5 2911 748177 136880.5 2910 0.06244513630731429
"1919" 748184 136880.9 2917 748183 136880.9 2916 0.11119510161714974
"1919" 748187 136881.1 2920 748186 136881.1 2919 0.11119510090982554
"1919" 748190 136881.3 2923 748189 136881.3 2922 0.11119510090982554
"1919" 748199 136881.9 2932 748198 136881.9 2931 0.12752938095958766
"1919" 748202 136882.1 2935 748201 136882.1 2934 0.11119510161714974
"1919" 748213 136882.8 2946 748212 136882.8 2945 0.11119510161714974
"1919" 748218 136883.1 2951 748217 136883.1 2950 0.11119510161714974
"1919" 748226 136883.6 2959 748225 136883.6 2958 0.11119510090982554
"1919" 748231 136883.9 2964 748230 136883.9 2963 0.11119510090982554
"1919" 748244 136884.7 2977 748243 136884.7 2976 0.11119510161714974
"1919" 748246 136884.8 2979 748245 136884.8 2978 0.11119510090982554
"1919" 748249 136885.0 2982 748248 136885.0 2981 0.11119510161714974
"1919" 748257 136885.5 2990 748256 136885.5 2989 0.1275293557985862
"1919" 748259 136885.6 2992 748258 136885.6 2991 0.11119510161714974
"1919" 748262 136885.8 2995 748261 136885.8 2994 0.11119510090982554
"1919" 748264 136885.9 2997 748263 136885.9 2996 0.11119510232447394
"1919" 748270 136886.3 3003 748269 136886.3 3002 0.06244505260741443
"1919" 748275 136886.6 3008 748274 136886.6 3007 0.11119510161714974
"1919" 748277 136886.7 3010 748276 136886.7 3009 0.11119510090982554
"1919" 748280 136886.9 3013 748279 136886.9 3012 0.11119510090982554
"1919" 748282 136887.0 3015 748281 136887.0 3014 0.11119510090982554
"1919" 748288 136887.4 3021 748287 136887.4 3020 0.11119510090982554
"1919" 748290 136887.5 3023 748289 136887.5 3022 0.11119510161714974
"1919" 748293 136887.7 3026 748292 136887.7 3025 0.11119510090982554
"1919" 748295 136887.8 3028 748294 136887.8 3027 0.11119510161714974
"1919" 748306 136888.5 3039 748305 136888.5 3038 0.11119510161714974
"1919" 748308 136888.6 3041 748307 136888.6 3040 0.11119510090982554
"1919" 748311 136888.8 3044 748310 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 14490

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 14490 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" 3031999 350.5 28 3031998 350.5 27
"43541" 3032010 811.7 39 3032009 811.7 38
"43541" 3032049 1779.8 78 3032048 1779.8 77
"43541" 3032093 3184.3 122 3032092 3184.3 121
"43541" 3032126 4418.1 155 3032125 4418.1 154
"43541" 3032142 4854.6 171 3032141 4854.6 170
"43541" 3032191 6561.9 220 3032190 6561.9 219
"43541" 3032227 7544.1 256 3032226 7544.1 255
"43541" 3032266 8757.6 295 3032265 8757.6 294
"43541" 3032283 9358.6 312 3032282 9358.6 311
"43541" 3032310 9709.1 339 3032309 9709.1 338
"43541" 3032356 10376.7 385 3032355 10376.7 384
"43541" 3032409 11116.1 438 3032408 11116.1 437
"43541" 3032440 11700.4 469 3032439 11700.4 468
"43541" 3032471 12284.8 500 3032470 12284.8 499
"43541" 3032732 14358.7 761 3032731 14358.7 760
"43541" 3032808 14706.8 837 3032807 14706.8 836
"43541" 3032908 15301.6 937 3032907 15301.6 936
"43541" 3033008 15896.4 1037 3033007 15896.4 1036
"43541" 3033084 16244.5 1113 3033083 16244.5 1112
"43541" 3033282 17133.2 1311 3033281 17133.2 1310
"43541" 3033525 18161.9 1554 3033524 18161.9 1553
"43541" 3033550 18472.3 1579 3033549 18472.3 1578
"43541" 3033600 18976.3 1629 3033599 18976.3 1628
"43541" 3033747 19673.4 1776 3033746 19673.4 1775
"43541" 3033976 21285.9 2005 3033975 21285.9 2004
"43541" 3034052 22756.6 2081 3034051 22756.6 2080
"43541" 3034128 24227.3 2157 3034127 24227.3 2156
"43541" 3034167 24719.6 2196 3034166 24719.6 2195
"43541" 3034184 25292.2 2213 3034183 25292.2 2212
"43541" 3034203 25625.9 2232 3034202 25625.9 2231
"43541" 3034291 26736.7 2320 3034290 26736.7 2319
"43541" 3034378 27236.5 2407 3034377 27236.5 2406
"43541" 3034427 28436.1 2456 3034426 28436.1 2455
"43541" 3034466 28928.5 2495 3034465 28928.5 2494
"43541" 3034517 29639.4 2546 3034516 29639.4 2545
"43541" 3034748 30811.2 2777 3034747 30811.2 2776
"43541" 3034824 31159.3 2853 3034823 31159.3 2852
"43541" 3034924 31754.1 2953 3034923 31754.1 2952
"43541" 3035024 32348.9 3053 3035023 32348.9 3052
"43541" 3035100 32697.0 3129 3035099 32697.0 3128
"43541" 3035298 33585.6 3327 3035297 33585.6 3326
"43541" 3035582 35228.5 3611 3035581 35228.5 3610
"43541" 3035635 35967.9 3664 3035634 35967.9 3663
"43541" 3035666 36552.2 3695 3035665 36552.2 3694
"43541" 3035697 37136.6 3726 3035696 37136.6 3725
"42206" 3207456 20641.7 108 3207455 20641.7 107
"42206" 3207479 24205.9 131 3207478 24205.9 130
"43537" 3221653 310.3 26 3221652 310.3 25
"43537" 3221666 811.7 39 3221665 811.7 38
expired_calendar WARNING 214

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 214 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
17961 "2365"
18141 "59089"
19880 "59092"
2745 "59091"
11793 "59094"
13962 "59093"
15553 "59090"
6 "1076"
10293 "13743"
2563 "73341"
5063 "2499"
19203 "49811"
9682 "49808"
4272 "59128"
20053 "59131"
19076 "59130"
16585 "59188"
14550 "59191"
2511 "1256"
2507 "1271"
10258 "1294"
17884 "24602"
4295 "59248"
2765 "59254"
20091 "59256"
14787 "59250"
17324 "59252"
10557 "59258"
5974 "59259"
18923 "59266"
3014 "59263"
2399 "59262"
7603 "59268"
9187 "59270"
6483 "59276"
11933 "59278"
6893 "59272"
6721 "59274"
19420 "59279"
15680 "59281"
16197 "59280"
20289 "59287"
3282 "59288"
20298 "59282"
14623 "59285"
6984 "59284"
18457 "59290"
10626 "59292"
10006 "59291"
20068 "59298"
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.
4797 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 200540 17 "99227" "Krekenava" "14:03:00" 200541 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.
16187 "2699" "7597177"
16234 "2699" "7597202"
16281 "2699" "7597189"
16295 "2699" "7597195"
16315 "2699" "7597171"
16374 "2699" "7597125"
16457 "2699" "7597132"
16531 "2699" "7597210"
16537 "2699" "7597201"
16539 "2699" "7597172"
16581 "2699" "7597164"
16588 "2699" "7597176"
16604 "2699" "7597137"
16639 "2699" "7597196"
16660 "2699" "7597144"
16743 "2699" "7597170"
16778 "2699" "7597140"
16907 "2699" "7597191"
16911 "2699" "7597133"
17017 "2699" "7597155"
17049 "2699" "7597147"
17142 "2699" "7597146"
17219 "2699" "7597130"
17239 "2699" "7597181"
17267 "2699" "7597150"
17421 "2699" "7597128"
17438 "2699" "7597186"
17568 "2699" "7597188"
17571 "2699" "7597203"
17577 "2699" "7597157"
17691 "2699" "7597127"
17750 "2699" "7597166"
17816 "2699" "7597204"
17855 "2699" "7597142"
18077 "2699" "7597178"
18086 "2699" "7597207"
18120 "2699" "7597021"
18237 "2699" "7597136"
18408 "2699" "7597198"
18487 "2699" "7597211"
18518 "2699" "7597208"
18582 "2699" "7597149"
18663 "2699" "7597184"
18747 "2699" "7597187"
18778 "2699" "7597156"
18801 "2699" "7597209"
18861 "2699" "7597193"
18868 "2699" "7597175"
19110 "2699" "7597129"
19119 "2699" "7597153"
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 342

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 342 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\"" 42
"routes.txt" "route_short_name" "3_VLP" 39
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 63
"routes.txt" "route_short_name" "5_VLP" 208
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 219
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 325
"routes.txt" "route_short_name" "40-DT" 337
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 341
"routes.txt" "route_short_name" "2_VLP" 375
"routes.txt" "route_short_name" "94AT" 514
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 569
"routes.txt" "route_short_name" "94-DC" 574
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 577
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 621
"routes.txt" "route_short_name" "4_VLP" 713
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 746
"routes.txt" "route_short_name" "70AC" 773
"routes.txt" "route_short_name" "1A_VLP" 875
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 905
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 937
"routes.txt" "route_short_name" "2A_VLP" 1039
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1045
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1092
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1107
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1113
"routes.txt" "route_short_name" "50AB" 1125
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1137
"routes.txt" "route_short_name" "1_VLP" 1222
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1291
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1297
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1317
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1339
"stops.txt" "stop_name" "140 km" 893
"stops.txt" "stop_name" "7-asis km." 1059
"stops.txt" "stop_name" "7-asis kilometras A" 1490
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 1516
"stops.txt" "stop_name" "4-asis fortas B" 1579
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 1608
"stops.txt" "stop_name" "9-ojo forto muziejus" 1719
"stops.txt" "stop_name" "žieda" 1954
"stops.txt" "stop_name" "40 km" 1985
"stops.txt" "stop_name" "16-sis kilometras" 2028
"stops.txt" "stop_name" "9 kilometras" 2133
"stops.txt" "stop_name" "9 kilometras" 2134
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 2443
"stops.txt" "stop_name" "2-ieji sodininkai" 2716
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 3157
"stops.txt" "stop_name" "40 km" 3577
"stops.txt" "stop_name" "32 kilometras" 3736
"stops.txt" "stop_name" "III km." 4032
stop_too_far_from_shape WARNING 54

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 54 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.
18539 "3636" "45756" 2912 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
21498 "3651" "45771" 2941 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
21559 "3653" "45773" 2942 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16671 "26974" "7317018" 33302 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
16671 "26974" "7317018" 33303 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
16671 "26974" "7317018" 33318 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
17374 "29329" "7418310" 40334 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
18854 "29328" "7418309" 40311 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
20693 "16822" "2392140" 20472 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
16396 "16821" "2392135" 20406 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
18660 "16823" "2392142" 20511 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
18784 "18654" "3218451" 23261 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
17000 "32206" "7476585" 46184 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
17000 "32206" "7476585" 46185 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
17000 "32206" "7476585" 46186 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
17000 "32206" "7476585" 46189 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
17000 "32206" "7476585" 46194 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
19487 "3899" "46086" 3050 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19133 "3014" "43694" 2075 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
10723 "37872" "61_49W" 66422 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
16349 "29420" "7429613" 40871 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
17790 "4529" "46899" 3873 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16797 "4527" "47691" 5062 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20067 "4528" "47692" 5063 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16351 "14622" "7150732" 32240 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
18137 "2821" "45017" 2836 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20000 "29615" "7432118" 41279 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
16926 "29616" "7432119" 41327 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
12999 "21886" "60_A2-02-1-241209-ba-1520" 60598 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
8489 "21885" "60_A2-02-1-241209-ab-1210" 65785 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
14056 "21887" "60_A2-01-7-251110-ab3-1430" 329906 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
13122 "21891" "60_A2-02-1-241209-ab2-2020" 61630 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
13503 "21865" "60_A2-01-7-251110-b3a-0920" 329703 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
12255 "21872" "60_A4-01-6-251110-b2a-2220" 332047 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
20944 "3339" "46943" 3874 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19345 "11705" "747606" 14440 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18069 "6511" "54508" 8253 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16438 "6509" "54502" 8202 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19746 "6513" "54509" 8265 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16376 "29093" "7413976" 38212 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
19851 "29092" "7413975" 38182 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
17077 "5232" "48165" 5309 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
17424 "27242" "7322654" 34571 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
17559 "27240" "7322650" 34505 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
18049 "27239" "7322649" 34497 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
18014 "27236" "7322645" 34480 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
17228 "27237" "7322647" 34488 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
21415 "3514" "45563" 2859 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20904 "3537" "45591" 2884 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17060 "17131" "2515700" 20888 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
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.
20526 "3645" "57657" 10466 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10465 "12152" "Jonaičiai" [55.34641499999999,21.570023]
20695 "3667" "57730" 10605 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10604 "13926" "Jonaičiai" [55.346103,21.568929]
16963 "3714" "57736" 10679 "13926" "Jonaičiai" [55.346103,21.568929] 10678 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
21261 "13808" "1228372" 16554 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16553 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
21130 "28435" "7339430" 35776 "64819" "Suostas" [56.32837413018391,24.713657886432735] 35775 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
16247 "28434" "7339429" 35752 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 35751 "64820" "Suostas" [56.32837775901334,24.713656830174433]
16957 "6591" "57636" 10142 "13926" "Jonaičiai" [55.346103,21.568929] 10141 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
19416 "3554" "57639" 10182 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10181 "12152" "Jonaičiai" [55.34641499999999,21.570023]
19999 "29102" "7413991" 38306 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 38305 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
16521 "40377" "8016002" 88869 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 88868 "97223" "Tarvydai I" [55.328604,21.56423]
19494 "40378" "8016003" 88878 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 88877 "97223" "Tarvydai I" [55.328604,21.56423]
16307 "5353" "57622" 9971 "13926" "Jonaičiai" [55.346103,21.568929] 9970 "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