GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-05T06:10:05+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: 1412
  • Shapes: 3677
  • Stops: 13625
  • Trips: 22726

Specification Compliance report

120551 notices reported (0 errors, 120518 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`.
85 "18985" 93 "18966" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
257 "18329" 333 "6209" "M1" "Alytus - Geniai" 3 "48"
269 "19019" 440 "19035" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
267 "19004" 441 "18989" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
443 "19026" 447 "19031" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
439 "18982" 448 "19023" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
270 "19033" 611 "19024" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
446 "19018" 612 "18998" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
266 "18980" 618 "19021" "M-156" "Kaunas - Neveronys" 3 "14"
442 "18997" 619 "18981" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
445 "18968" 620 "18977" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
87 "19001" 621 "18979" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
617 "19038" 624 "19013" "M-168" "Kaunas-Giraitė-Užliedžiai-Babtai-Vosiškiai" 3 "14"
271 "19020" 698 "18967" "M-168" "Kaunas-Šilainiai-Giraitė-Užliedžiai" 3 "14"
83 "19027" 785 "18965" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
625 "18987" 786 "18970" "M-168" "Vosiškiai-Babtai" 3 "14"
615 "19040" 787 "19005" "M-146" "Kaunas-Žiegždriai" 3 "14"
622 "18990" 791 "18984" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
872 "16052" 922 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
444 "18969" 950 "19022" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
610 "19006" 951 "19012" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
949 "18976" 952 "18999" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
956 "19029" 957 "19034" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
953 "18974" 1118 "19032" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
86 "18993" 1119 "19011" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
1121 "19028" 1122 "18975" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
1123 "18996" 1124 "19008" "M-151" "Kaunas-Ramučiai" 3 "14"
626 "19039" 1125 "18964" "M-101A" "Kauno pilis-Šilainiai-Giraitė-Užliedžiai" 3 "14"
92 "19002" 1127 "18961" "M-120" "Karmėlava-Ramučiai" 3 "14"
355 "19067" 1221 "19066" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
416 "3645" 1281 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
613 "19007" 1308 "19030" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
616 "18962" 1309 "18988" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
614 "19003" 1310 "19014" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
790 "18983" 1311 "19036" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
782 "18991" 1312 "18971" "M-101" "Kauno pilis-Giraitė-Užliedžiai" 3 "14"
272 "18972" 1313 "19025" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
792 "18994" 1314 "19017" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
623 "19009" 1316 "18995" "M-103" "Kauno pilis-SB\"Lokomotyvas\"" 3 "14"
784 "18986" 1317 "18978" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
268 "19000" 1318 "19010" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
793 "18963" 1321 "18992" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
789 "19016" 1322 "19037" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 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" 512992 29882.7 878 512991 29882.7 877 0.12791084993239907
"2328" 417810 35929.8 642 417809 35929.8 641 0.11119510090982554
"3659" 508042 49657.5 1177 508041 49657.5 1176 0.12791084993239907
"42205" 3205172 57850.1 335 3205171 57850.1 334 0.06178544815632574
"2369" 403059 63265.5 1261 403058 63265.5 1260 0.11119510090982554
"2385" 618064 69168.3 1771 618063 69168.3 1770 0.06441976500794575
"28733" 2314315 71509.2 1569 2314314 71509.2 1568 0.06441976500794575
"1919" 783929 136875.8 2842 783928 136875.8 2841 0.12752942403551987
"1919" 783932 136876.0 2845 783931 136876.0 2844 0.11119510090982554
"1919" 783939 136876.5 2852 783938 136876.5 2851 0.11119510232447394
"1919" 783942 136876.7 2855 783941 136876.7 2854 0.11119510161714974
"1919" 783945 136876.9 2858 783944 136876.9 2857 0.12752941555597483
"1919" 783954 136877.5 2867 783953 136877.5 2866 0.11119510090982554
"1919" 783957 136877.7 2870 783956 136877.7 2869 0.11119510161714974
"1919" 783960 136877.9 2873 783959 136877.9 2872 0.11119510090982554
"1919" 783967 136878.4 2880 783966 136878.4 2879 0.11119510090982554
"1919" 783970 136878.6 2883 783969 136878.6 2882 0.11119510161714974
"1919" 783979 136879.2 2892 783978 136879.2 2891 0.11119510090982554
"1919" 783982 136879.4 2895 783981 136879.4 2894 0.12752939825777979
"1919" 783985 136879.6 2898 783984 136879.6 2897 0.11119510161714974
"1919" 783994 136880.2 2907 783993 136880.2 2906 0.11119510161714974
"1919" 783998 136880.5 2911 783997 136880.5 2910 0.06244513630731429
"1919" 784004 136880.9 2917 784003 136880.9 2916 0.11119510161714974
"1919" 784007 136881.1 2920 784006 136881.1 2919 0.11119510090982554
"1919" 784010 136881.3 2923 784009 136881.3 2922 0.11119510090982554
"1919" 784019 136881.9 2932 784018 136881.9 2931 0.12752938095958766
"1919" 784022 136882.1 2935 784021 136882.1 2934 0.11119510161714974
"1919" 784033 136882.8 2946 784032 136882.8 2945 0.11119510161714974
"1919" 784038 136883.1 2951 784037 136883.1 2950 0.11119510161714974
"1919" 784046 136883.6 2959 784045 136883.6 2958 0.11119510090982554
"1919" 784051 136883.9 2964 784050 136883.9 2963 0.11119510090982554
"1919" 784064 136884.7 2977 784063 136884.7 2976 0.11119510161714974
"1919" 784066 136884.8 2979 784065 136884.8 2978 0.11119510090982554
"1919" 784069 136885.0 2982 784068 136885.0 2981 0.11119510161714974
"1919" 784077 136885.5 2990 784076 136885.5 2989 0.1275293557985862
"1919" 784079 136885.6 2992 784078 136885.6 2991 0.11119510161714974
"1919" 784082 136885.8 2995 784081 136885.8 2994 0.11119510090982554
"1919" 784084 136885.9 2997 784083 136885.9 2996 0.11119510232447394
"1919" 784090 136886.3 3003 784089 136886.3 3002 0.06244505260741443
"1919" 784095 136886.6 3008 784094 136886.6 3007 0.11119510161714974
"1919" 784097 136886.7 3010 784096 136886.7 3009 0.11119510090982554
"1919" 784100 136886.9 3013 784099 136886.9 3012 0.11119510090982554
"1919" 784102 136887.0 3015 784101 136887.0 3014 0.11119510090982554
"1919" 784108 136887.4 3021 784107 136887.4 3020 0.11119510090982554
"1919" 784110 136887.5 3023 784109 136887.5 3022 0.11119510161714974
"1919" 784113 136887.7 3026 784112 136887.7 3025 0.11119510090982554
"1919" 784115 136887.8 3028 784114 136887.8 3027 0.11119510161714974
"1919" 784126 136888.5 3039 784125 136888.5 3038 0.11119510161714974
"1919" 784128 136888.6 3041 784127 136888.6 3040 0.11119510090982554
"1919" 784131 136888.8 3044 784130 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 15009

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 15009 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" 3022643 350.5 28 3022642 350.5 27
"43541" 3022654 811.7 39 3022653 811.7 38
"43541" 3022693 1779.8 78 3022692 1779.8 77
"43541" 3022737 3184.3 122 3022736 3184.3 121
"43541" 3022770 4418.1 155 3022769 4418.1 154
"43541" 3022786 4854.6 171 3022785 4854.6 170
"43541" 3022835 6561.9 220 3022834 6561.9 219
"43541" 3022871 7544.1 256 3022870 7544.1 255
"43541" 3022910 8757.6 295 3022909 8757.6 294
"43541" 3022927 9358.6 312 3022926 9358.6 311
"43541" 3022954 9709.1 339 3022953 9709.1 338
"43541" 3023000 10376.7 385 3022999 10376.7 384
"43541" 3023053 11116.1 438 3023052 11116.1 437
"43541" 3023084 11700.4 469 3023083 11700.4 468
"43541" 3023115 12284.8 500 3023114 12284.8 499
"43541" 3023376 14358.7 761 3023375 14358.7 760
"43541" 3023452 14706.8 837 3023451 14706.8 836
"43541" 3023552 15301.6 937 3023551 15301.6 936
"43541" 3023652 15896.4 1037 3023651 15896.4 1036
"43541" 3023728 16244.5 1113 3023727 16244.5 1112
"43541" 3023926 17133.2 1311 3023925 17133.2 1310
"43541" 3024169 18161.9 1554 3024168 18161.9 1553
"43541" 3024194 18472.3 1579 3024193 18472.3 1578
"43541" 3024244 18976.3 1629 3024243 18976.3 1628
"43541" 3024391 19673.4 1776 3024390 19673.4 1775
"43541" 3024620 21285.9 2005 3024619 21285.9 2004
"43541" 3024696 22756.6 2081 3024695 22756.6 2080
"43541" 3024772 24227.3 2157 3024771 24227.3 2156
"43541" 3024811 24719.6 2196 3024810 24719.6 2195
"43541" 3024828 25292.2 2213 3024827 25292.2 2212
"43541" 3024847 25625.9 2232 3024846 25625.9 2231
"43541" 3024935 26736.7 2320 3024934 26736.7 2319
"43541" 3025022 27236.5 2407 3025021 27236.5 2406
"43541" 3025071 28436.1 2456 3025070 28436.1 2455
"43541" 3025110 28928.5 2495 3025109 28928.5 2494
"43541" 3025161 29639.4 2546 3025160 29639.4 2545
"43541" 3025392 30811.2 2777 3025391 30811.2 2776
"43541" 3025468 31159.3 2853 3025467 31159.3 2852
"43541" 3025568 31754.1 2953 3025567 31754.1 2952
"43541" 3025668 32348.9 3053 3025667 32348.9 3052
"43541" 3025744 32697.0 3129 3025743 32697.0 3128
"43541" 3025942 33585.6 3327 3025941 33585.6 3326
"43541" 3026226 35228.5 3611 3026225 35228.5 3610
"43541" 3026279 35967.9 3664 3026278 35967.9 3663
"43541" 3026310 36552.2 3695 3026309 36552.2 3694
"43541" 3026341 37136.6 3726 3026340 37136.6 3725
"42206" 3205343 20641.7 108 3205342 20641.7 107
"42206" 3205366 24205.9 131 3205365 24205.9 130
"43537" 3217250 310.3 26 3217249 310.3 25
"43537" 3217263 811.7 39 3217262 811.7 38
expired_calendar WARNING 67

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 67 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
8733 "13743"
2188 "73341"
4293 "2499"
2135 "1256"
2131 "1271"
8698 "1294"
15153 "24602"
2 "1339"
4290 "2685"
15150 "12709"
6495 "1379"
8724 "2737"
10884 "2766"
2151 "60347"
8 "1461"
10897 "47502"
13010 "2814"
8728 "2849"
8729 "2852"
10886 "2850"
6510 "2980"
10885 "2975"
4291 "2974"
13009 "2972"
10910 "60928"
10906 "60959"
8742 "47985"
15144 "1954"
4318 "60890"
13018 "20239"
15154 "20237"
15152 "17222"
13016 "31530"
10892 "17343"
23 "43774"
15139 "678"
8697 "973"
60 "76307"
13064 "76308"
61 "76309"
15147 "3000"
4292 "3012"
15155 "13033"
2142 "13105"
10947 "76816"
11 "2009"
13 "2022"
10902 "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.
22715 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 214366 17 "99227" "Krekenava" "14:03:00" 214367 18 "99243" "Rabikiai" "14:03:00"
189 "65_APNV_416-45-3-250526-ab-1310" "17220" 196.9887428340989 3.283145713901648 196056 17 "98468" "Krekenava" "14:03:00" 196057 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.
500 "2699" "7597178"
594 "2699" "7597149"
684 "2699" "7597193"
693 "2699" "7597175"
798 "2699" "7597129"
806 "2699" "7597153"
844 "2699" "7597173"
1095 "2699" "7597159"
1147 "2699" "7597158"
1190 "2699" "7597162"
1292 "2699" "7597154"
5696 "2699" "7597210"
5702 "2699" "7597201"
5703 "2699" "7597172"
5783 "2699" "7597184"
5830 "2699" "7597136"
5864 "2699" "7597211"
5894 "2699" "7597208"
5901 "2699" "7597164"
5906 "2699" "7597176"
5922 "2699" "7597137"
5972 "2699" "7597170"
6105 "2699" "7597187"
6140 "2699" "7597156"
6170 "2699" "7597140"
6220 "2699" "7597191"
6224 "2699" "7597133"
6268 "2699" "7597141"
6297 "2699" "7597182"
6334 "2699" "7597209"
6364 "2699" "7597189"
6379 "2699" "7597195"
6400 "2699" "7597171"
6457 "2699" "7597147"
6630 "2699" "7597126"
6661 "2699" "7597138"
6704 "2699" "7597132"
6786 "2699" "7597130"
6806 "2699" "7597181"
6829 "2699" "7597150"
7050 "2699" "7597196"
7070 "2699" "7597144"
7162 "2699" "7597128"
7188 "2699" "7597185"
7198 "2699" "7597205"
7208 "2699" "7597145"
7445 "2699" "7597186"
7708 "2699" "7597161"
7724 "2699" "7597151"
7735 "2699" "7597197"
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 1053

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 1053 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" 13
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 61
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 167
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 179
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 180
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 181
"routes.txt" "route_long_name" "JONAVA-KULVA" 182
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 184
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 208
"routes.txt" "route_short_name" "40-DT" 316
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 336
"routes.txt" "route_short_name" "1A_VLP" 356
"routes.txt" "route_short_name" "523_VLP" 357
"routes.txt" "route_short_name" "518_VLP" 359
"routes.txt" "route_short_name" "2_VLP" 367
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 372
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 373
"routes.txt" "route_short_name" "94AT" 523
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 536
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 537
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 545
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 586
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 657
"routes.txt" "route_short_name" "94-DC" 677
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 722
"routes.txt" "route_long_name" "JONAVA-RUKLA" 723
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 724
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 725
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 734
"routes.txt" "route_short_name" "70AC" 842
"routes.txt" "route_short_name" "2A_VLP" 884
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 886
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 929
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 940
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 962
"routes.txt" "route_short_name" "1_VLP" 1053
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1056
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1084
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 1097
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1105
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1113
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1142
"routes.txt" "route_short_name" "50AB" 1200
"routes.txt" "route_short_name" "4_VLP" 1227
"routes.txt" "route_short_name" "5_VLP" 1232
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 1234
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1258
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1270
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1282
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.
6088 "3636" "45756" 3023 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9290 "3651" "45771" 3052 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1262 "3653" "45773" 3053 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9274 "43544" "8124133" 342560 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
6394 "43548" "8124139" 342598 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
710 "26974" "7317010" 35946 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
710 "26974" "7317010" 35947 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
710 "26974" "7317010" 35962 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
8366 "29329" "7418310" 43515 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
679 "29328" "7418309" 43492 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
8600 "6003" "52856" 6005 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
6269 "6005" "52858" 6014 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
9496 "6004" "52857" 6010 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
7158 "6007" "52859" 6021 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
886 "6008" "52860" 6026 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
1209 "16822" "2392138" 20241 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
1195 "16821" "2392137" 20231 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
1196 "16823" "2392141" 20296 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
6146 "18654" "3218451" 22484 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
704 "32206" "7476586" 49491 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
704 "32206" "7476586" 49492 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
704 "32206" "7476586" 49493 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
704 "32206" "7476586" 49496 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
704 "32206" "7476586" 49501 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
6519 "3899" "46086" 3161 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
820 "3014" "43694" 2186 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
16404 "37872" "61_49W" 70572 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
6684 "29420" "7429613" 44052 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
350 "49117" "57_1172-20260204" 456577 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
9221 "4529" "46899" 3984 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7378 "4527" "47691" 5173 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7590 "4528" "47692" 5174 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6339 "14622" "7150733" 35035 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
9701 "2821" "45017" 2947 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7245 "29615" "7432118" 44562 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
6411 "29616" "7432119" 44610 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
14769 "21886" "60_A2-02-1-241209-ba-0720" 69876 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
3438 "21885" "60_A2-01-6-251110-ab-0900" 344576 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3571 "21887" "60_A2-01-7-251110-ab3-1430" 343822 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3587 "21891" "60_A2-01-7-251110-ab2-0730" 343899 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
3638 "21865" "60_A2-01-7-251110-b3a-0920" 343619 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
3433 "21872" "60_A30-01-6-251110-b2a-1720" 345237 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
8577 "3339" "46943" 3985 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6608 "11705" "747606" 14652 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
493 "6511" "54508" 8640 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
5870 "6509" "54501" 8574 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
6889 "6513" "54509" 8652 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
8812 "29093" "7413977" 41332 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
7337 "29092" "7413975" 41288 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
6054 "5232" "56646" 8838 "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.
8071 "3645" "57657" 10853 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10852 "12152" "Jonaičiai" [55.34641499999999,21.570023]
8210 "3667" "57730" 10992 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10991 "13926" "Jonaičiai" [55.346103,21.568929]
7649 "3714" "57736" 11066 "13926" "Jonaičiai" [55.346103,21.568929] 11065 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
1144 "13808" "1228372" 16359 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16358 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
8521 "28435" "7339430" 38810 "64819" "Suostas" [56.32837413018391,24.713657886432735] 38809 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
9618 "28434" "7339429" 38786 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 38785 "64820" "Suostas" [56.32837775901334,24.713656830174433]
7644 "6591" "57636" 10529 "13926" "Jonaičiai" [55.346103,21.568929] 10528 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
6942 "3554" "57639" 10569 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10568 "12152" "Jonaičiai" [55.34641499999999,21.570023]
7244 "29102" "7413991" 41412 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 41411 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
5687 "40377" "8016002" 93309 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 93308 "97223" "Tarvydai I" [55.328604,21.56423]
6526 "40378" "8016003" 93318 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 93317 "97223" "Tarvydai I" [55.328604,21.56423]
6390 "5353" "57622" 10358 "13926" "Jonaičiai" [55.346103,21.568929] 10357 "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