GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-07T06:07:07+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

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

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

Summary

Agencies included


Feed Info


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

Files included


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

Counts


  • Agencies: 53
  • Blocks: 0
  • Routes: 1658
  • Shapes: 4288
  • Stops: 15735
  • Trips: 29999

Specification Compliance report

123984 notices reported (0 errors, 123951 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 44

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`.
244 "20481" 247 "20484" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
250 "20526" 251 "20527" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
259 "18329" 344 "6209" "M1" "Alytus - Geniai" 3 "48"
26 "20460" 434 "20463" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
242 "20469" 451 "20451" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
44 "20511" 454 "20507" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
661 "20502" 663 "20503" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
644 "20458" 667 "20459" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
255 "20472" 672 "20470" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
245 "20486" 674 "20485" "M-151" "Kaunas-Ramučiai" 3 "14"
257 "20492" 675 "20489" "M-120" "Karmėlava-Ramučiai" 3 "14"
433 "20471" 838 "20468" "M-156" "Kaunas - Neveronys" 3 "14"
436 "20452" 839 "20453" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
664 "20455" 863 "20456" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
455 "20476" 864 "20491" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
665 "20465" 866 "20461" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
246 "20473" 867 "20479" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
243 "20509" 868 "20510" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
256 "20474" 874 "20477" "M-168" "Vosiškiai-Babtai" 3 "14"
662 "20480" 1059 "20483" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
1058 "20499" 1060 "20500" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
458 "20504" 1062 "20505" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
666 "20516" 1063 "20466" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
248 "20522" 1066 "20524" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
45 "20364" 1072 "20445" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
869 "16052" 1197 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
452 "20498" 1267 "20501" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
1061 "20508" 1269 "20506" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
865 "20496" 1270 "20493" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
249 "20525" 1271 "20454" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
253 "20494" 1272 "20490" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
1033 "20495" 1461 "20497" "M-146" "Kaunas-Žiegždriai" 3 "14"
220 "20450" 1463 "20457" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
435 "20520" 1464 "20523" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
453 "20482" 1483 "20462" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
1268 "20518" 1484 "20521" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
1485 "20487" 1486 "20488" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
1056 "20517" 1487 "20519" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
456 "20512" 1488 "20514" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
1064 "20475" 1489 "20478" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
1065 "20529" 1490 "20528" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
1491 "20467" 1492 "20464" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
1273 "20515" 1494 "20513" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
501 "3645" 1549 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4156

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 4156 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" 508258 29882.7 878 508257 29882.7 877 0.12791084993239907
"2328" 415961 35929.8 642 415960 35929.8 641 0.11119510090982554
"3659" 503308 49657.5 1177 503307 49657.5 1176 0.12791084993239907
"42205" 3602678 57850.1 335 3602677 57850.1 334 0.06178544815632574
"2369" 404765 63265.5 1261 404764 63265.5 1260 0.11119510090982554
"2385" 614222 69168.3 1771 614221 69168.3 1770 0.06441976500794575
"28733" 2426776 71509.2 1569 2426775 71509.2 1568 0.06441976500794575
"1919" 776952 136875.8 2842 776951 136875.8 2841 0.12752942403551987
"1919" 776955 136876.0 2845 776954 136876.0 2844 0.11119510090982554
"1919" 776962 136876.5 2852 776961 136876.5 2851 0.11119510232447394
"1919" 776965 136876.7 2855 776964 136876.7 2854 0.11119510161714974
"1919" 776968 136876.9 2858 776967 136876.9 2857 0.12752941555597483
"1919" 776977 136877.5 2867 776976 136877.5 2866 0.11119510090982554
"1919" 776980 136877.7 2870 776979 136877.7 2869 0.11119510161714974
"1919" 776983 136877.9 2873 776982 136877.9 2872 0.11119510090982554
"1919" 776990 136878.4 2880 776989 136878.4 2879 0.11119510090982554
"1919" 776993 136878.6 2883 776992 136878.6 2882 0.11119510161714974
"1919" 777002 136879.2 2892 777001 136879.2 2891 0.11119510090982554
"1919" 777005 136879.4 2895 777004 136879.4 2894 0.12752939825777979
"1919" 777008 136879.6 2898 777007 136879.6 2897 0.11119510161714974
"1919" 777017 136880.2 2907 777016 136880.2 2906 0.11119510161714974
"1919" 777021 136880.5 2911 777020 136880.5 2910 0.06244513630731429
"1919" 777027 136880.9 2917 777026 136880.9 2916 0.11119510161714974
"1919" 777030 136881.1 2920 777029 136881.1 2919 0.11119510090982554
"1919" 777033 136881.3 2923 777032 136881.3 2922 0.11119510090982554
"1919" 777042 136881.9 2932 777041 136881.9 2931 0.12752938095958766
"1919" 777045 136882.1 2935 777044 136882.1 2934 0.11119510161714974
"1919" 777056 136882.8 2946 777055 136882.8 2945 0.11119510161714974
"1919" 777061 136883.1 2951 777060 136883.1 2950 0.11119510161714974
"1919" 777069 136883.6 2959 777068 136883.6 2958 0.11119510090982554
"1919" 777074 136883.9 2964 777073 136883.9 2963 0.11119510090982554
"1919" 777087 136884.7 2977 777086 136884.7 2976 0.11119510161714974
"1919" 777089 136884.8 2979 777088 136884.8 2978 0.11119510090982554
"1919" 777092 136885.0 2982 777091 136885.0 2981 0.11119510161714974
"1919" 777100 136885.5 2990 777099 136885.5 2989 0.1275293557985862
"1919" 777102 136885.6 2992 777101 136885.6 2991 0.11119510161714974
"1919" 777105 136885.8 2995 777104 136885.8 2994 0.11119510090982554
"1919" 777107 136885.9 2997 777106 136885.9 2996 0.11119510232447394
"1919" 777113 136886.3 3003 777112 136886.3 3002 0.06244505260741443
"1919" 777118 136886.6 3008 777117 136886.6 3007 0.11119510161714974
"1919" 777120 136886.7 3010 777119 136886.7 3009 0.11119510090982554
"1919" 777123 136886.9 3013 777122 136886.9 3012 0.11119510090982554
"1919" 777125 136887.0 3015 777124 136887.0 3014 0.11119510090982554
"1919" 777131 136887.4 3021 777130 136887.4 3020 0.11119510090982554
"1919" 777133 136887.5 3023 777132 136887.5 3022 0.11119510161714974
"1919" 777136 136887.7 3026 777135 136887.7 3025 0.11119510090982554
"1919" 777138 136887.8 3028 777137 136887.8 3027 0.11119510161714974
"1919" 777149 136888.5 3039 777148 136888.5 3038 0.11119510161714974
"1919" 777151 136888.6 3041 777150 136888.6 3040 0.11119510090982554
"1919" 777154 136888.8 3044 777153 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 19129

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 19129 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" 3355150 350.5 28 3355149 350.5 27
"43541" 3355161 811.7 39 3355160 811.7 38
"43541" 3355200 1779.8 78 3355199 1779.8 77
"43541" 3355244 3184.3 122 3355243 3184.3 121
"43541" 3355277 4418.1 155 3355276 4418.1 154
"43541" 3355293 4854.6 171 3355292 4854.6 170
"43541" 3355342 6561.9 220 3355341 6561.9 219
"43541" 3355378 7544.1 256 3355377 7544.1 255
"43541" 3355417 8757.6 295 3355416 8757.6 294
"43541" 3355434 9358.6 312 3355433 9358.6 311
"43541" 3355461 9709.1 339 3355460 9709.1 338
"43541" 3355507 10376.7 385 3355506 10376.7 384
"43541" 3355560 11116.1 438 3355559 11116.1 437
"43541" 3355591 11700.4 469 3355590 11700.4 468
"43541" 3355622 12284.8 500 3355621 12284.8 499
"43541" 3355883 14358.7 761 3355882 14358.7 760
"43541" 3355959 14706.8 837 3355958 14706.8 836
"43541" 3356059 15301.6 937 3356058 15301.6 936
"43541" 3356159 15896.4 1037 3356158 15896.4 1036
"43541" 3356235 16244.5 1113 3356234 16244.5 1112
"43541" 3356433 17133.2 1311 3356432 17133.2 1310
"43541" 3356676 18161.9 1554 3356675 18161.9 1553
"43541" 3356701 18472.3 1579 3356700 18472.3 1578
"43541" 3356751 18976.3 1629 3356750 18976.3 1628
"43541" 3356898 19673.4 1776 3356897 19673.4 1775
"43541" 3357127 21285.9 2005 3357126 21285.9 2004
"43541" 3357203 22756.6 2081 3357202 22756.6 2080
"43541" 3357279 24227.3 2157 3357278 24227.3 2156
"43541" 3357318 24719.6 2196 3357317 24719.6 2195
"43541" 3357335 25292.2 2213 3357334 25292.2 2212
"43541" 3357354 25625.9 2232 3357353 25625.9 2231
"43541" 3357442 26736.7 2320 3357441 26736.7 2319
"43541" 3357529 27236.5 2407 3357528 27236.5 2406
"43541" 3357578 28436.1 2456 3357577 28436.1 2455
"43541" 3357617 28928.5 2495 3357616 28928.5 2494
"43541" 3357668 29639.4 2546 3357667 29639.4 2545
"43541" 3357899 30811.2 2777 3357898 30811.2 2776
"43541" 3357975 31159.3 2853 3357974 31159.3 2852
"43541" 3358075 31754.1 2953 3358074 31754.1 2952
"43541" 3358175 32348.9 3053 3358174 32348.9 3052
"43541" 3358251 32697.0 3129 3358250 32697.0 3128
"43541" 3358449 33585.6 3327 3358448 33585.6 3326
"43541" 3358733 35228.5 3611 3358732 35228.5 3610
"43541" 3358786 35967.9 3664 3358785 35967.9 3663
"43541" 3358817 36552.2 3695 3358816 36552.2 3694
"43541" 3358848 37136.6 3726 3358847 37136.6 3725
"43531" 2274367 1036.1 44 2274366 1036.1 43
"43531" 2274396 1669.1 73 2274395 1669.1 72
"43531" 2274423 2285.2 100 2274422 2285.2 99
"43531" 2274464 4091.8 141 2274463 4091.8 140
expired_calendar WARNING 66

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 66 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3166 "73341"
3110 "1256"
3106 "1271"
12685 "1294"
22022 "24601"
2 "1339"
22014 "12709"
9471 "1379"
22192 "61695"
9 "1461"
22008 "1954"
18914 "20239"
22017 "20237"
22016 "17222"
15853 "17343"
49 "76307"
18952 "76308"
50 "76309"
22018 "13033"
3119 "13105"
15896 "76816"
12 "2009"
14 "2022"
12703 "2066"
9484 "2111"
15844 "2123"
12705 "2137"
12746 "62494"
6264 "2158"
6267 "2175"
6269 "2173"
18899 "2206"
6270 "2205"
12707 "2218"
15842 "2217"
18902 "2216"
15838 "2213"
22007 "2224"
9487 "2285"
12720 "13743"
6274 "2499"
6271 "2685"
12711 "2737"
15845 "2766"
15858 "47502"
18906 "2814"
12715 "2849"
16035 "59439"
12716 "2852"
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.
4960 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 190955 17 "99227" "Krekenava" "14:03:00" 190956 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.
23856 "2699" "7597170"
23893 "2699" "7597140"
23949 "2699" "7597191"
23954 "2699" "7597133"
24029 "2699" "7597147"
24115 "2699" "7597130"
24136 "2699" "7597181"
24169 "2699" "7597150"
24261 "2699" "7597128"
24284 "2699" "7597186"
24322 "2699" "7597183"
24374 "2699" "7597148"
24490 "2699" "7597155"
24510 "2699" "7597194"
24522 "2699" "7597131"
24540 "2699" "7597163"
24635 "2699" "7597146"
24728 "2699" "7597212"
25265 "2699" "7597188"
25268 "2699" "7597203"
25276 "2699" "7597157"
25358 "2699" "7597136"
25501 "2699" "7597211"
25540 "2699" "7597208"
25584 "2699" "7597187"
25600 "2699" "7597127"
25672 "2699" "7597166"
25726 "2699" "7597156"
25750 "2699" "7597209"
25828 "2699" "7597177"
25886 "2699" "7597202"
25887 "2699" "7597189"
25905 "2699" "7597195"
25931 "2699" "7597171"
26060 "2699" "7597125"
26093 "2699" "7597132"
26239 "2699" "7597210"
26247 "2699" "7597201"
26250 "2699" "7597172"
26313 "2699" "7597196"
26337 "2699" "7597144"
26398 "2699" "7597164"
26408 "2699" "7597176"
26426 "2699" "7597137"
26570 "2699" "7597161"
26696 "2699" "7597151"
26706 "2699" "7597197"
26758 "2699" "7597199"
26938 "2699" "7597200"
27017 "2699" "7597135"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
missing_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "41891" 1
3 "41891" 2
4 "41891" 3
5 "41891" 4
6 "41891" 5
7 "41891" 6
8 "41891" 7
9 "41891" 8
10 "41891" 9
11 "41979" 1
12 "41979" 2
13 "41979" 3
14 "41979" 4
15 "41980" 1
16 "41980" 2
17 "41980" 3
18 "41980" 4
19 "41981" 1
20 "41981" 2
21 "41981" 3
22 "41981" 4
23 "41982" 1
24 "41982" 2
25 "41982" 3
26 "41982" 4
27 "42101" 1
28 "42101" 2
29 "42101" 4
30 "42101" 5
31 "42101" 6
32 "42103" 1
33 "42103" 2
34 "42103" 4
35 "42103" 5
36 "42103" 6
37 "42105" 1
38 "42105" 2
39 "42105" 4
40 "42105" 5
41 "42203" 1
42 "42203" 2
43 "42203" 3
44 "42203" 4
45 "42203" 5
46 "42203" 6
47 "42203" 7
48 "42203" 8
49 "42203" 9
50 "42203" 10
51 "42203" 11
mixed_case_recommended_field WARNING 371

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

Only the first 50 of 371 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "UŽDAROJI AKCINĖ BENDROVĖ \"EMTRA\"" 53
"routes.txt" "route_short_name" "3_VLP" 36
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 41
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 42
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 129
"routes.txt" "route_short_name" "5_VLP" 238
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 241
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 319
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 328
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 401
"routes.txt" "route_short_name" "40-DT" 416
"routes.txt" "route_short_name" "2_VLP" 446
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 449
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 461
"routes.txt" "route_short_name" "94AT" 609
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 657
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 658
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 659
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 660
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 678
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 689
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 704
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 711
"routes.txt" "route_short_name" "94-DC" 777
"routes.txt" "route_short_name" "4_VLP" 853
"routes.txt" "route_long_name" "JONAVA-KULVA" 858
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 859
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 862
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 918
"routes.txt" "route_short_name" "70AC" 922
"routes.txt" "route_short_name" "1A_VLP" 1046
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1054
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1055
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1077
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1106
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1178
"routes.txt" "route_short_name" "2A_VLP" 1261
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1265
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1266
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1274
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1288
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1319
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1323
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1345
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1352
"routes.txt" "route_short_name" "50AB" 1377
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1381
"routes.txt" "route_short_name" "1_VLP" 1471
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1479
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1481
stop_too_far_from_shape WARNING 51

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 51 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.
25565 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
24964 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27794 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
24946 "43544" "8124133" 270345 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
25924 "43548" "8124139" 270383 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
23784 "26974" "7317011" 39189 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
23784 "26974" "7317011" 39190 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
23784 "26974" "7317011" 39205 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
27132 "16822" "2392140" 25176 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
25716 "16821" "2392134" 25100 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
27718 "16823" "2392141" 25195 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
25733 "18654" "3218451" 28351 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
24467 "32206" "7476585" 50625 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
24467 "32206" "7476585" 50626 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
24467 "32206" "7476585" 50627 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
24467 "32206" "7476585" 50630 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
24467 "32206" "7476585" 50635 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
29342 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
29121 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
25966 "29420" "7429613" 45378 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
28052 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23765 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26788 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
25757 "14622" "7150733" 38156 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
28500 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
29952 "29615" "7432118" 45786 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
23973 "29616" "7432119" 45834 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
13304 "21886" "60_A33-01-1-241209-ba-2200" 75121 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
10390 "21885" "60_A2-02-1-241209-ab-1210" 75744 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
13365 "21887" "60_A2-01-7-060404-ab3-1430" 583291 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
13362 "21891" "60_A2-01-6-060404-ab2-0740" 581397 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
14686 "21865" "60_A2-01-7-060404-b3a-1150" 581705 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
12523 "21872" "60_A2-01-6-060404-b2a-1520" 581632 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
24504 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
24865 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
25028 "4711" "47250" 4661 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
29425 "11705" "747606" 18268 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28196 "6511" "54508" 10624 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
25510 "6509" "54501" 10558 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
29728 "6513" "54509" 10636 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
24590 "29093" "7413977" 42983 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
26600 "29092" "7413975" 42939 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
24062 "5232" "48165" 5817 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
25110 "44681" "8136902" 282262 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
27824 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27340 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
24043 "17131" "2515700" 25592 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
28873 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27971 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
25714 "15331" "2211799" 22396 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
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.
27110 "3645" "57657" 14619 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14618 "12152" "Jonaičiai" [55.34641499999999,21.570023]
27134 "3667" "57730" 14758 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14757 "13926" "Jonaičiai" [55.346103,21.568929]
24373 "3714" "57735" 14816 "13926" "Jonaičiai" [55.346103,21.568929] 14815 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
27529 "13808" "1228372" 21052 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21051 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
23848 "26489" "7231018" 38734 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38733 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
24482 "35668" "7652364" 62283 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 62282 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
27415 "28435" "7339430" 40633 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40632 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
26005 "28434" "7339429" 40609 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40608 "64820" "Suostas" [56.32837775901334,24.713656830174433]
24411 "6591" "57636" 14295 "13926" "Jonaičiai" [55.346103,21.568929] 14294 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
27153 "3554" "57643" 14423 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14422 "12152" "Jonaičiai" [55.34641499999999,21.570023]
29951 "29102" "7413991" 43063 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 43062 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
26226 "40377" "8016002" 104397 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 104396 "97223" "Tarvydai I" [55.328604,21.56423]
29348 "40378" "8016003" 104406 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 104405 "97223" "Tarvydai I" [55.328604,21.56423]
25661 "5353" "57623" 14141 "13926" "Jonaičiai" [55.346103,21.568929] 14140 "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