GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-05T06:07:30+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: 51
  • Blocks: 0
  • Routes: 1591
  • Shapes: 4144
  • Stops: 15201
  • Trips: 26645

Specification Compliance report

123979 notices reported (0 errors, 123946 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`.
227 "20481" 231 "20484" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
234 "20527" 235 "20526" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
240 "18329" 351 "6209" "M1" "Alytus - Geniai" 3 "48"
20 "20460" 414 "20463" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
35 "20511" 430 "20507" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
228 "20469" 435 "20451" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
617 "20458" 635 "20459" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
224 "20486" 636 "20485" "M-151" "Kaunas-Ramučiai" 3 "14"
634 "20502" 638 "20503" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
229 "20472" 640 "20470" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
238 "20492" 646 "20489" "M-120" "Karmėlava-Ramučiai" 3 "14"
413 "20471" 809 "20468" "M-156" "Kaunas - Neveronys" 3 "14"
416 "20452" 810 "20453" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
223 "20509" 829 "20510" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
431 "20476" 830 "20491" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
225 "20473" 831 "20479" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
637 "20455" 832 "20456" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
230 "20474" 834 "20477" "M-168" "Vosiškiai-Babtai" 3 "14"
642 "20465" 836 "20461" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
429 "20504" 1012 "20505" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
1015 "20500" 1016 "20499" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
641 "20516" 1018 "20466" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
639 "20480" 1019 "20483" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
233 "20522" 1021 "20524" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
34 "20364" 1026 "20445" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
838 "16052" 1043 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
432 "20498" 1209 "20501" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
1017 "20508" 1210 "20506" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
226 "20494" 1211 "20490" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
833 "20496" 1213 "20493" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
232 "20525" 1214 "20454" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
996 "20495" 1398 "20497" "M-146" "Kaunas-Žiegždriai" 3 "14"
204 "20450" 1400 "20457" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
415 "20520" 1401 "20523" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
1416 "20487" 1417 "20488" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
1013 "20517" 1418 "20519" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
1212 "20518" 1419 "20521" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
1014 "20475" 1420 "20478" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
1020 "20529" 1421 "20528" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
433 "20482" 1422 "20462" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
1424 "20464" 1425 "20467" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
434 "20512" 1426 "20514" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
1215 "20515" 1427 "20513" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
497 "3645" 1433 "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" 501478 29882.7 878 501477 29882.7 877 0.12791084993239907
"2328" 409181 35929.8 642 409180 35929.8 641 0.11119510090982554
"3659" 496528 49657.5 1177 496527 49657.5 1176 0.12791084993239907
"42205" 3574540 57850.1 335 3574539 57850.1 334 0.06178544815632574
"2369" 397985 63265.5 1261 397984 63265.5 1260 0.11119510090982554
"2385" 607442 69168.3 1771 607441 69168.3 1770 0.06441976500794575
"28733" 2400705 71509.2 1569 2400704 71509.2 1568 0.06441976500794575
"1919" 770033 136875.8 2842 770032 136875.8 2841 0.12752942403551987
"1919" 770036 136876.0 2845 770035 136876.0 2844 0.11119510090982554
"1919" 770043 136876.5 2852 770042 136876.5 2851 0.11119510232447394
"1919" 770046 136876.7 2855 770045 136876.7 2854 0.11119510161714974
"1919" 770049 136876.9 2858 770048 136876.9 2857 0.12752941555597483
"1919" 770058 136877.5 2867 770057 136877.5 2866 0.11119510090982554
"1919" 770061 136877.7 2870 770060 136877.7 2869 0.11119510161714974
"1919" 770064 136877.9 2873 770063 136877.9 2872 0.11119510090982554
"1919" 770071 136878.4 2880 770070 136878.4 2879 0.11119510090982554
"1919" 770074 136878.6 2883 770073 136878.6 2882 0.11119510161714974
"1919" 770083 136879.2 2892 770082 136879.2 2891 0.11119510090982554
"1919" 770086 136879.4 2895 770085 136879.4 2894 0.12752939825777979
"1919" 770089 136879.6 2898 770088 136879.6 2897 0.11119510161714974
"1919" 770098 136880.2 2907 770097 136880.2 2906 0.11119510161714974
"1919" 770102 136880.5 2911 770101 136880.5 2910 0.06244513630731429
"1919" 770108 136880.9 2917 770107 136880.9 2916 0.11119510161714974
"1919" 770111 136881.1 2920 770110 136881.1 2919 0.11119510090982554
"1919" 770114 136881.3 2923 770113 136881.3 2922 0.11119510090982554
"1919" 770123 136881.9 2932 770122 136881.9 2931 0.12752938095958766
"1919" 770126 136882.1 2935 770125 136882.1 2934 0.11119510161714974
"1919" 770137 136882.8 2946 770136 136882.8 2945 0.11119510161714974
"1919" 770142 136883.1 2951 770141 136883.1 2950 0.11119510161714974
"1919" 770150 136883.6 2959 770149 136883.6 2958 0.11119510090982554
"1919" 770155 136883.9 2964 770154 136883.9 2963 0.11119510090982554
"1919" 770168 136884.7 2977 770167 136884.7 2976 0.11119510161714974
"1919" 770170 136884.8 2979 770169 136884.8 2978 0.11119510090982554
"1919" 770173 136885.0 2982 770172 136885.0 2981 0.11119510161714974
"1919" 770181 136885.5 2990 770180 136885.5 2989 0.1275293557985862
"1919" 770183 136885.6 2992 770182 136885.6 2991 0.11119510161714974
"1919" 770186 136885.8 2995 770185 136885.8 2994 0.11119510090982554
"1919" 770188 136885.9 2997 770187 136885.9 2996 0.11119510232447394
"1919" 770194 136886.3 3003 770193 136886.3 3002 0.06244505260741443
"1919" 770199 136886.6 3008 770198 136886.6 3007 0.11119510161714974
"1919" 770201 136886.7 3010 770200 136886.7 3009 0.11119510090982554
"1919" 770204 136886.9 3013 770203 136886.9 3012 0.11119510090982554
"1919" 770206 136887.0 3015 770205 136887.0 3014 0.11119510090982554
"1919" 770212 136887.4 3021 770211 136887.4 3020 0.11119510090982554
"1919" 770214 136887.5 3023 770213 136887.5 3022 0.11119510161714974
"1919" 770217 136887.7 3026 770216 136887.7 3025 0.11119510090982554
"1919" 770219 136887.8 3028 770218 136887.8 3027 0.11119510161714974
"1919" 770230 136888.5 3039 770229 136888.5 3038 0.11119510161714974
"1919" 770232 136888.6 3041 770231 136888.6 3040 0.11119510090982554
"1919" 770235 136888.8 3044 770234 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" 3327463 350.5 28 3327462 350.5 27
"43541" 3327474 811.7 39 3327473 811.7 38
"43541" 3327513 1779.8 78 3327512 1779.8 77
"43541" 3327557 3184.3 122 3327556 3184.3 121
"43541" 3327590 4418.1 155 3327589 4418.1 154
"43541" 3327606 4854.6 171 3327605 4854.6 170
"43541" 3327655 6561.9 220 3327654 6561.9 219
"43541" 3327691 7544.1 256 3327690 7544.1 255
"43541" 3327730 8757.6 295 3327729 8757.6 294
"43541" 3327747 9358.6 312 3327746 9358.6 311
"43541" 3327774 9709.1 339 3327773 9709.1 338
"43541" 3327820 10376.7 385 3327819 10376.7 384
"43541" 3327873 11116.1 438 3327872 11116.1 437
"43541" 3327904 11700.4 469 3327903 11700.4 468
"43541" 3327935 12284.8 500 3327934 12284.8 499
"43541" 3328196 14358.7 761 3328195 14358.7 760
"43541" 3328272 14706.8 837 3328271 14706.8 836
"43541" 3328372 15301.6 937 3328371 15301.6 936
"43541" 3328472 15896.4 1037 3328471 15896.4 1036
"43541" 3328548 16244.5 1113 3328547 16244.5 1112
"43541" 3328746 17133.2 1311 3328745 17133.2 1310
"43541" 3328989 18161.9 1554 3328988 18161.9 1553
"43541" 3329014 18472.3 1579 3329013 18472.3 1578
"43541" 3329064 18976.3 1629 3329063 18976.3 1628
"43541" 3329211 19673.4 1776 3329210 19673.4 1775
"43541" 3329440 21285.9 2005 3329439 21285.9 2004
"43541" 3329516 22756.6 2081 3329515 22756.6 2080
"43541" 3329592 24227.3 2157 3329591 24227.3 2156
"43541" 3329631 24719.6 2196 3329630 24719.6 2195
"43541" 3329648 25292.2 2213 3329647 25292.2 2212
"43541" 3329667 25625.9 2232 3329666 25625.9 2231
"43541" 3329755 26736.7 2320 3329754 26736.7 2319
"43541" 3329842 27236.5 2407 3329841 27236.5 2406
"43541" 3329891 28436.1 2456 3329890 28436.1 2455
"43541" 3329930 28928.5 2495 3329929 28928.5 2494
"43541" 3329981 29639.4 2546 3329980 29639.4 2545
"43541" 3330212 30811.2 2777 3330211 30811.2 2776
"43541" 3330288 31159.3 2853 3330287 31159.3 2852
"43541" 3330388 31754.1 2953 3330387 31754.1 2952
"43541" 3330488 32348.9 3053 3330487 32348.9 3052
"43541" 3330564 32697.0 3129 3330563 32697.0 3128
"43541" 3330762 33585.6 3327 3330761 33585.6 3326
"43541" 3331046 35228.5 3611 3331045 35228.5 3610
"43541" 3331099 35967.9 3664 3331098 35967.9 3663
"43541" 3331130 36552.2 3695 3331129 36552.2 3694
"43541" 3331161 37136.6 3726 3331160 37136.6 3725
"43531" 2249030 1036.1 44 2249029 1036.1 43
"43531" 2249059 1669.1 73 2249058 1669.1 72
"43531" 2249086 2285.2 100 2249085 2285.2 99
"43531" 2249127 4091.8 141 2249126 4091.8 140
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"
3155 "73341"
3105 "1256"
3101 "1271"
12634 "1294"
21930 "24601"
2 "1339"
21922 "12709"
9435 "1379"
9 "1461"
21916 "1954"
18833 "20239"
21925 "20237"
21924 "17222"
15788 "17343"
49 "76307"
18873 "76308"
50 "76309"
21926 "13033"
3114 "13105"
15829 "76816"
12 "2009"
14 "2022"
12652 "2066"
9448 "2111"
15779 "2123"
12654 "2137"
12692 "62494"
6245 "2158"
6248 "2175"
6250 "2173"
18818 "2206"
6251 "2205"
12656 "2218"
15777 "2217"
18821 "2216"
15773 "2213"
21915 "2224"
9451 "2285"
12669 "13743"
6255 "2499"
6252 "2685"
12660 "2737"
15780 "2766"
15793 "47502"
18825 "2814"
12664 "2849"
12665 "2852"
15782 "2850"
9450 "2980"
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.
3836 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 186826 17 "99227" "Krekenava" "14:03:00" 186827 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.
20504 "2699" "7597210"
20512 "2699" "7597201"
20515 "2699" "7597172"
20562 "2699" "7597164"
20572 "2699" "7597176"
20590 "2699" "7597137"
20648 "2699" "7597170"
20685 "2699" "7597140"
20741 "2699" "7597191"
20746 "2699" "7597133"
20821 "2699" "7597147"
20907 "2699" "7597130"
20928 "2699" "7597181"
20988 "2699" "7597174"
20998 "2699" "7597139"
21059 "2699" "7597196"
21083 "2699" "7597144"
21157 "2699" "7597150"
21249 "2699" "7597128"
21276 "2699" "7597169"
21468 "2699" "7597186"
21482 "2699" "7597183"
21534 "2699" "7597148"
21571 "2699" "7597194"
21656 "2699" "7597155"
21681 "2699" "7597131"
21699 "2699" "7597163"
21800 "2699" "7597146"
21884 "2699" "7597212"
22430 "2699" "7597188"
22433 "2699" "7597203"
22441 "2699" "7597157"
22510 "2699" "7597136"
22551 "2699" "7597211"
22692 "2699" "7597208"
22736 "2699" "7597187"
22766 "2699" "7597127"
22838 "2699" "7597166"
22878 "2699" "7597156"
22902 "2699" "7597209"
22939 "2699" "7597189"
22957 "2699" "7597195"
22993 "2699" "7597177"
23051 "2699" "7597202"
23083 "2699" "7597171"
23147 "2699" "7597132"
23225 "2699" "7597125"
23393 "2699" "7597138"
23515 "2699" "7597185"
23524 "2699" "7597205"
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\"" 51
"routes.txt" "route_short_name" "3_VLP" 29
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 32
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 33
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 138
"routes.txt" "route_short_name" "5_VLP" 219
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 222
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 281
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 335
"routes.txt" "route_short_name" "40-DT" 381
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 387
"routes.txt" "route_short_name" "2_VLP" 425
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 428
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 439
"routes.txt" "route_short_name" "94AT" 594
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 629
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 630
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 631
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 632
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 649
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 663
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 682
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 688
"routes.txt" "route_short_name" "94-DC" 760
"routes.txt" "route_short_name" "4_VLP" 823
"routes.txt" "route_long_name" "JONAVA-KULVA" 825
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 826
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 828
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 903
"routes.txt" "route_short_name" "70AC" 905
"routes.txt" "route_short_name" "1A_VLP" 1008
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1010
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 1011
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1040
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1075
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1096
"routes.txt" "route_short_name" "2A_VLP" 1204
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1206
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1208
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 1216
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1229
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1249
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1267
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1274
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1312
"routes.txt" "route_short_name" "50AB" 1333
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1336
"routes.txt" "route_short_name" "1_VLP" 1411
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1412
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1414
stop_too_far_from_shape WARNING 45

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.

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.
22717 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22117 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
25014 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22099 "43544" "8124133" 271522 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
23076 "43548" "8124139" 271560 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
20913 "26974" "7317014" 39240 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
20913 "26974" "7317014" 39241 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
20913 "26974" "7317014" 39256 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
21315 "16822" "2392139" 25158 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
22868 "16821" "2392134" 25100 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
24825 "16823" "2392141" 25195 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
22885 "18654" "3218451" 28351 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
21633 "32206" "7476585" 50517 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
21633 "32206" "7476585" 50518 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
21633 "32206" "7476585" 50519 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
21633 "32206" "7476585" 50522 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
21633 "32206" "7476585" 50527 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
26581 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26356 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
23118 "29420" "7429613" 45270 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
25120 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21141 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23914 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22909 "14622" "7150733" 38156 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
25562 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
23580 "29615" "7432118" 45678 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
20765 "29616" "7432119" 45726 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
21565 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22026 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
20557 "4711" "47251" 4673 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
26513 "11705" "747606" 18268 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
25441 "6511" "54508" 10624 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
22560 "6509" "54501" 10558 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
23322 "6513" "54509" 10636 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
21749 "29093" "7413977" 42875 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
23833 "29092" "7413975" 42831 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
20854 "5232" "48165" 5817 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
22161 "44681" "8136902" 282239 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
24885 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
24455 "3537" "45591" 2826 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20835 "17131" "2515700" 25592 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
26129 "3574" "45644" 2827 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
25200 "3617" "45754" 2853 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
22866 "15331" "2211799" 22396 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
24076 "15330" "2211796" 22371 "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.
21024 "3645" "57657" 14619 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14618 "12152" "Jonaičiai" [55.34641499999999,21.570023]
24351 "3667" "57730" 14758 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14757 "13926" "Jonaičiai" [55.346103,21.568929]
21533 "3714" "57735" 14816 "13926" "Jonaičiai" [55.346103,21.568929] 14815 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
24759 "13808" "1228372" 21052 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21051 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
21425 "26489" "7231018" 38734 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38733 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
21648 "35668" "7652364" 62175 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 62174 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
24593 "28435" "7339430" 40633 "64819" "Suostas" [56.32837413018391,24.713657886432735] 40632 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
23170 "28434" "7339429" 40609 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 40608 "64820" "Suostas" [56.32837775901334,24.713656830174433]
21443 "6591" "57636" 14295 "13926" "Jonaičiai" [55.346103,21.568929] 14294 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
23417 "3554" "57639" 14335 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14334 "12152" "Jonaičiai" [55.34641499999999,21.570023]
23579 "29102" "7413991" 42955 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42954 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
20491 "40377" "8016002" 99612 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 99611 "97223" "Tarvydai I" [55.328604,21.56423]
26587 "40378" "8016003" 99621 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 99620 "97223" "Tarvydai I" [55.328604,21.56423]
22827 "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