GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-11-30T06:10:49+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: 39
  • Blocks: 0
  • Routes: 1378
  • Shapes: 3760
  • Stops: 13541
  • Trips: 22998

Specification Compliance report

117713 notices reported (0 errors, 117680 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`.
5 "18040" 163 "18041" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
231 "18036" 232 "18038" "M-146" "Kaunas-Žiegždriai" 3 "14"
173 "18045" 233 "18047" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
9 "18008" 357 "18010" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
177 "18071" 367 "18064" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
180 "18051" 370 "18050" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
223 "18020" 393 "18021" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
352 "18054" 519 "18057" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
14 "18056" 534 "18058" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
366 "18037" 537 "18042" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
181 "18013" 539 "18039" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
8 "18061" 685 "18065" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
353 "18011" 687 "18012" "M-101" "Kauno pilis-Linkuvos g.-Giraitė-Ledos kapinės" 3 "14"
533 "18029" 694 "18027" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
532 "18025" 698 "18005" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
402 "18046" 748 "18044" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
224 "18082" 749 "18081" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
577 "18030" 751 "18031" "M-101A" "Kauno pilis-Linkuvos g.-Šilainiai-Užliedžiai" 3 "14"
384 "18074" 752 "18076" "M-168" "Vosiškiai-Babtai" 3 "14"
855 "18014" 859 "18017" "M-156" "Kaunas - Neveronys" 3 "14"
692 "18077" 864 "18075" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
16 "18048" 865 "18049" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
693 "18062" 866 "18063" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
372 "18016" 875 "18015" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
19 "18053" 876 "18052" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
229 "18002" 912 "18001" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
850 "16052" 946 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
683 "18018" 1022 "18022" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
171 "18032" 1023 "18033" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
527 "18068" 1025 "18067" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
535 "18028" 1027 "18026" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
868 "18079" 1036 "18078" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
1081 "18080" 1082 "18066" "M-151" "Kaunas-Ramučiai" 3 "14"
994 "18069" 1179 "18070" "M-120" "Karmėlava-Ramučiai" 3 "14"
160 "18023" 1198 "18024" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
689 "18059" 1199 "18060" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
1203 "18035" 1204 "18034" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
856 "18004" 1206 "18007" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
1031 "18009" 1208 "18006" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
1210 "18073" 1211 "18072" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
229 "18002" 1264 "18003" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
48 "18043" 1270 "18055" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
365 "3645" 1305 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4149

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 4149 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" 518775 29882.7 878 518774 29882.7 877 0.12791084993239907
"2328" 427673 35929.8 642 427672 35929.8 641 0.11119510090982554
"3659" 513825 49657.5 1177 513824 49657.5 1176 0.12791084993239907
"42205" 3290048 57850.1 335 3290047 57850.1 334 0.06178544815632574
"2369" 413013 63265.5 1261 413012 63265.5 1260 0.11119510090982554
"2385" 622583 69168.3 1771 622582 69168.3 1770 0.06441976500794575
"28733" 2306162 71509.2 1569 2306161 71509.2 1568 0.06441976500794575
"1919" 788099 136875.8 2842 788098 136875.8 2841 0.12752942403551987
"1919" 788102 136876.0 2845 788101 136876.0 2844 0.11119510090982554
"1919" 788109 136876.5 2852 788108 136876.5 2851 0.11119510232447394
"1919" 788112 136876.7 2855 788111 136876.7 2854 0.11119510161714974
"1919" 788115 136876.9 2858 788114 136876.9 2857 0.12752941555597483
"1919" 788124 136877.5 2867 788123 136877.5 2866 0.11119510090982554
"1919" 788127 136877.7 2870 788126 136877.7 2869 0.11119510161714974
"1919" 788130 136877.9 2873 788129 136877.9 2872 0.11119510090982554
"1919" 788137 136878.4 2880 788136 136878.4 2879 0.11119510090982554
"1919" 788140 136878.6 2883 788139 136878.6 2882 0.11119510161714974
"1919" 788149 136879.2 2892 788148 136879.2 2891 0.11119510090982554
"1919" 788152 136879.4 2895 788151 136879.4 2894 0.12752939825777979
"1919" 788155 136879.6 2898 788154 136879.6 2897 0.11119510161714974
"1919" 788164 136880.2 2907 788163 136880.2 2906 0.11119510161714974
"1919" 788168 136880.5 2911 788167 136880.5 2910 0.06244513630731429
"1919" 788174 136880.9 2917 788173 136880.9 2916 0.11119510161714974
"1919" 788177 136881.1 2920 788176 136881.1 2919 0.11119510090982554
"1919" 788180 136881.3 2923 788179 136881.3 2922 0.11119510090982554
"1919" 788189 136881.9 2932 788188 136881.9 2931 0.12752938095958766
"1919" 788192 136882.1 2935 788191 136882.1 2934 0.11119510161714974
"1919" 788203 136882.8 2946 788202 136882.8 2945 0.11119510161714974
"1919" 788208 136883.1 2951 788207 136883.1 2950 0.11119510161714974
"1919" 788216 136883.6 2959 788215 136883.6 2958 0.11119510090982554
"1919" 788221 136883.9 2964 788220 136883.9 2963 0.11119510090982554
"1919" 788234 136884.7 2977 788233 136884.7 2976 0.11119510161714974
"1919" 788236 136884.8 2979 788235 136884.8 2978 0.11119510090982554
"1919" 788239 136885.0 2982 788238 136885.0 2981 0.11119510161714974
"1919" 788247 136885.5 2990 788246 136885.5 2989 0.1275293557985862
"1919" 788249 136885.6 2992 788248 136885.6 2991 0.11119510161714974
"1919" 788252 136885.8 2995 788251 136885.8 2994 0.11119510090982554
"1919" 788254 136885.9 2997 788253 136885.9 2996 0.11119510232447394
"1919" 788260 136886.3 3003 788259 136886.3 3002 0.06244505260741443
"1919" 788265 136886.6 3008 788264 136886.6 3007 0.11119510161714974
"1919" 788267 136886.7 3010 788266 136886.7 3009 0.11119510090982554
"1919" 788270 136886.9 3013 788269 136886.9 3012 0.11119510090982554
"1919" 788272 136887.0 3015 788271 136887.0 3014 0.11119510090982554
"1919" 788278 136887.4 3021 788277 136887.4 3020 0.11119510090982554
"1919" 788280 136887.5 3023 788279 136887.5 3022 0.11119510161714974
"1919" 788283 136887.7 3026 788282 136887.7 3025 0.11119510090982554
"1919" 788285 136887.8 3028 788284 136887.8 3027 0.11119510161714974
"1919" 788296 136888.5 3039 788295 136888.5 3038 0.11119510161714974
"1919" 788298 136888.6 3041 788297 136888.6 3040 0.11119510090982554
"1919" 788301 136888.8 3044 788300 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 12905

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 12905 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" 3077994 350.5 28 3077993 350.5 27
"43541" 3078005 811.7 39 3078004 811.7 38
"43541" 3078044 1779.8 78 3078043 1779.8 77
"43541" 3078088 3184.3 122 3078087 3184.3 121
"43541" 3078121 4418.1 155 3078120 4418.1 154
"43541" 3078137 4854.6 171 3078136 4854.6 170
"43541" 3078186 6561.9 220 3078185 6561.9 219
"43541" 3078222 7544.1 256 3078221 7544.1 255
"43541" 3078261 8757.6 295 3078260 8757.6 294
"43541" 3078278 9358.6 312 3078277 9358.6 311
"43541" 3078305 9709.1 339 3078304 9709.1 338
"43541" 3078351 10376.7 385 3078350 10376.7 384
"43541" 3078404 11116.1 438 3078403 11116.1 437
"43541" 3078435 11700.4 469 3078434 11700.4 468
"43541" 3078466 12284.8 500 3078465 12284.8 499
"43541" 3078727 14358.7 761 3078726 14358.7 760
"43541" 3078803 14706.8 837 3078802 14706.8 836
"43541" 3078903 15301.6 937 3078902 15301.6 936
"43541" 3079003 15896.4 1037 3079002 15896.4 1036
"43541" 3079079 16244.5 1113 3079078 16244.5 1112
"43541" 3079277 17133.2 1311 3079276 17133.2 1310
"43541" 3079520 18161.9 1554 3079519 18161.9 1553
"43541" 3079545 18472.3 1579 3079544 18472.3 1578
"43541" 3079595 18976.3 1629 3079594 18976.3 1628
"43541" 3079742 19673.4 1776 3079741 19673.4 1775
"43541" 3079971 21285.9 2005 3079970 21285.9 2004
"43541" 3080047 22756.6 2081 3080046 22756.6 2080
"43541" 3080123 24227.3 2157 3080122 24227.3 2156
"43541" 3080162 24719.6 2196 3080161 24719.6 2195
"43541" 3080179 25292.2 2213 3080178 25292.2 2212
"43541" 3080198 25625.9 2232 3080197 25625.9 2231
"43541" 3080286 26736.7 2320 3080285 26736.7 2319
"43541" 3080373 27236.5 2407 3080372 27236.5 2406
"43541" 3080422 28436.1 2456 3080421 28436.1 2455
"43541" 3080461 28928.5 2495 3080460 28928.5 2494
"43541" 3080512 29639.4 2546 3080511 29639.4 2545
"43541" 3080743 30811.2 2777 3080742 30811.2 2776
"43541" 3080819 31159.3 2853 3080818 31159.3 2852
"43541" 3080919 31754.1 2953 3080918 31754.1 2952
"43541" 3081019 32348.9 3053 3081018 32348.9 3052
"43541" 3081095 32697.0 3129 3081094 32697.0 3128
"43541" 3081293 33585.6 3327 3081292 33585.6 3326
"43541" 3081577 35228.5 3611 3081576 35228.5 3610
"43541" 3081630 35967.9 3664 3081629 35967.9 3663
"43541" 3081661 36552.2 3695 3081660 36552.2 3694
"43541" 3081692 37136.6 3726 3081691 37136.6 3725
"42206" 3290219 20641.7 108 3290218 20641.7 107
"42206" 3290242 24205.9 131 3290241 24205.9 130
"43537" 3299088 310.3 26 3299087 310.3 25
"43537" 3299101 811.7 39 3299100 811.7 38
expired_calendar WARNING 60

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 60 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
8588 "17222"
7406 "31530"
6 "1076"
6142 "17343"
2419 "2499"
23 "43774"
1215 "1256"
4934 "1294"
8589 "24602"
7421 "48594"
2 "1339"
2416 "2685"
8586 "12709"
3688 "1379"
4960 "2737"
6134 "2766"
1229 "60347"
8 "1461"
6147 "47502"
8577 "678"
7401 "2814"
4964 "2849"
4965 "2852"
6136 "2850"
3703 "2980"
6135 "2975"
2417 "2974"
7400 "2972"
4933 "973"
6165 "60928"
6162 "60959"
4976 "47985"
8582 "1954"
2440 "60890"
8584 "3000"
2418 "3012"
7408 "20239"
8590 "20237"
8591 "13033"
1220 "13105"
11 "2009"
13 "2022"
6153 "48071"
26 "48073"
6151 "48062"
3701 "2111"
6133 "2123"
4954 "2137"
2410 "2158"
2413 "2175"
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.
2456 "8093432" "17272" 196.9887428340989 3.283145713901648 246458 17 "99227" "Krekenava" "14:03:00" 246459 18 "99243" "Rabikiai" "14:03:00"
20206 "8091136" "17220" 196.9887428340989 3.283145713901648 227693 17 "98468" "Krekenava" "14:03:00" 227694 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.
8212 "2699" "7597021"
8310 "2699" "7597170"
8311 "2699" "7597171"
8312 "2699" "7597172"
8313 "2699" "7597173"
8502 "2699" "7597174"
8503 "2699" "7597180"
8506 "2699" "7597181"
8507 "2699" "7597175"
8508 "2699" "7597176"
8509 "2699" "7597177"
8510 "2699" "7597178"
8670 "2699" "7597182"
8671 "2699" "7597183"
8672 "2699" "7597184"
8673 "2699" "7597185"
8743 "2699" "7597186"
8744 "2699" "7597187"
8745 "2699" "7597188"
8748 "2699" "7597189"
8794 "2699" "7597169"
8815 "2699" "7597190"
8816 "2699" "7597191"
8817 "2699" "7597192"
8818 "2699" "7597193"
8819 "2699" "7597194"
8820 "2699" "7597195"
8822 "2699" "7597196"
8823 "2699" "7597197"
8824 "2699" "7597198"
8911 "2699" "7597199"
8913 "2699" "7597200"
8914 "2699" "7597201"
8915 "2699" "7597202"
9050 "2699" "7597203"
9052 "2699" "7597204"
9129 "2699" "7597205"
9130 "2699" "7597206"
9131 "2699" "7597207"
9132 "2699" "7597208"
9231 "2699" "7597209"
9232 "2699" "7597210"
9233 "2699" "7597211"
9234 "2699" "7597212"
14742 "2699" "7597160"
14743 "2699" "7597161"
14775 "2699" "7597162"
14776 "2699" "7597163"
14846 "2699" "7597164"
14849 "2699" "7597165"
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 "41979" 1
3 "41979" 2
4 "41979" 3
5 "41979" 4
6 "41980" 1
7 "41980" 2
8 "41980" 3
9 "41980" 4
10 "41981" 1
11 "41981" 2
12 "41981" 3
13 "41981" 4
14 "41982" 1
15 "41982" 2
16 "41982" 3
17 "41982" 4
18 "42101" 1
19 "42101" 2
20 "42101" 4
21 "42101" 5
22 "42101" 6
23 "42103" 1
24 "42103" 2
25 "42103" 4
26 "42103" 5
27 "42103" 6
28 "42105" 1
29 "42105" 2
30 "42105" 4
31 "42105" 5
32 "42203" 1
33 "42203" 2
34 "42203" 3
35 "42203" 4
36 "42203" 5
37 "42203" 6
38 "42203" 7
39 "42203" 8
40 "42203" 9
41 "42203" 10
42 "42203" 11
43 "42203" 12
44 "42203" 13
45 "42203" 14
46 "42203" 15
47 "42203" 16
48 "42203" 17
49 "42203" 18
50 "42203" 19
51 "42206" 1
mixed_case_recommended_field WARNING 329

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 329 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\"" 39
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 210
"routes.txt" "route_short_name" "1A_VLP" 214
"routes.txt" "route_short_name" "518_VLP" 222
"routes.txt" "route_short_name" "523_VLP" 339
"routes.txt" "route_short_name" "2_VLP" 385
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 599
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 607
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 778
"routes.txt" "route_short_name" "2A_VLP" 891
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 892
"routes.txt" "route_short_name" "1_VLP" 1065
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1067
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1069
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1127
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1226
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1230
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1231
"routes.txt" "route_short_name" "3_VLP" 1239
"routes.txt" "route_short_name" "787_VLP" 1242
"routes.txt" "route_short_name" "5_VLP" 1244
"routes.txt" "route_short_name" "4_VLP" 1249
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1279
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1292
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1334
"stops.txt" "stop_name" "2-asis fortas" 49
"stops.txt" "stop_name" "7-asis kilometras A" 203
"stops.txt" "stop_name" "9-ojo forto muziejus" 300
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 375
"stops.txt" "stop_name" "4-asis fortas B" 392
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 405
"stops.txt" "stop_name" "140 km" 1430
"stops.txt" "stop_name" "3-ieji sodininkai" 1706
"stops.txt" "stop_name" "40 km" 1850
"stops.txt" "stop_name" "16-sis kilometras" 1883
"stops.txt" "stop_name" "1-ojo forto g." 2004
"stops.txt" "stop_name" "19-as kilometras" 2012
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 2093
"stops.txt" "stop_name" "140 km" 2320
"stops.txt" "stop_name" "žieda" 2422
"stops.txt" "stop_name" "9 kilometras" 2497
"stops.txt" "stop_name" "9 kilometras" 2498
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 3001
"stops.txt" "stop_name" "III km." 3391
"stops.txt" "stop_name" "III km." 3401
"stops.txt" "stop_name" "40 km" 3498
"stops.txt" "stop_name" "19-as kilometras" 3596
"stops.txt" "stop_name" "9-ojo forto muziejus" 3651
"stops.txt" "stop_name" "140 km" 4035
"stops.txt" "stop_name" "32 kilometras" 4146
stop_too_far_from_shape WARNING 59

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 59 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.
13746 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13747 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13430 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
10902 "43544" "8124133" 399179 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
10907 "43548" "8124139" 399217 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
8491 "26974" "7317010" 37289 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
8491 "26974" "7317010" 37290 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
8491 "26974" "7317010" 37305 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
19849 "29329" "7418310" 44749 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
6383 "29328" "7418309" 44726 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
11908 "37814" "7870743" 78022 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
13563 "6003" "52856" 6188 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13532 "6005" "52858" 6197 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13545 "6004" "52857" 6193 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13288 "6007" "52859" 6204 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13550 "6008" "52860" 6209 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
6212 "18654" "3218451" 22757 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
16442 "32206" "7476583" 50662 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
16442 "32206" "7476583" 50663 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
16442 "32206" "7476583" 50664 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
16442 "32206" "7476583" 50667 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
16442 "32206" "7476583" 50672 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
13474 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13715 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
1487 "37872" "7870674" 76626 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
6965 "29420" "7429613" 45304 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13734 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13743 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13707 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7210 "14622" "7150732" 36363 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
13725 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
571 "29615" "7432118" 45792 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
1921 "29616" "7432119" 45840 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
433 "21886" "7847299" 75250 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
30 "21885" "7847033" 72763 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
20934 "21887" "8128791" 400441 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
596 "21891" "7847352" 75691 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
20734 "21865" "8128780" 400238 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
498 "21872" "7847076" 73086 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
13995 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12671 "11705" "747606" 14921 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13573 "6511" "54507" 8774 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
13260 "6509" "54501" 8720 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
13575 "6513" "54509" 8798 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
7949 "29093" "7413976" 42526 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
7948 "29092" "7413975" 42496 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
13997 "5232" "48166" 5592 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
2473 "27242" "7324110" 38938 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
17859 "27240" "7322650" 38628 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
17858 "27239" "7322649" 38620 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
stops_match_shape_out_of_order WARNING 14

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
15139 "29269" "7429480" 44800 "22015" "Graužiečiai" [55.224458,24.844213] 44799 "21701" "Vaisgeliškiai" [55.21389948434742,24.843246782879064]
14130 "3645" "57657" 10915 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10914 "12152" "Jonaičiai" [55.34641499999999,21.570023]
14103 "3667" "57730" 11054 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11053 "13926" "Jonaičiai" [55.346103,21.568929]
13586 "3714" "57735" 11112 "13926" "Jonaičiai" [55.346103,21.568929] 11111 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
5668 "13808" "1228372" 16652 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16651 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
12236 "17480" "2657524" 21440 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21439 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
7793 "28435" "7339430" 40046 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40045 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
7791 "28434" "7339429" 40022 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40021 "64820" "Suostas" [56.32837775901334,24.713656830174433]
14100 "6591" "57635" 10575 "13926" "Jonaičiai" [55.346103,21.568929] 10574 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
13580 "3554" "57640" 10653 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10652 "12152" "Jonaičiai" [55.34641499999999,21.570023]
19503 "29102" "7413991" 42620 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42619 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
8501 "40377" "8016002" 109847 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 109846 "97223" "Tarvydai I" [55.328604,21.56423]
15184 "40378" "8016003" 109856 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 109855 "97223" "Tarvydai I" [55.328604,21.56423]
14376 "5353" "57618" 10403 "13926" "Jonaičiai" [55.346103,21.568929] 10402 "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