GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-21T06:08:47+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

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

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

Summary

Agencies included


Feed Info


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

Files included


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

Counts


  • Agencies: 42
  • Blocks: 0
  • Routes: 1348
  • Shapes: 3470
  • Stops: 12944
  • Trips: 21549

Specification Compliance report

118964 notices reported (0 errors, 118931 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`.
275 "6209" 330 "18329" "M1" "Alytus - Geniai" 3 "48"
158 "19308" 335 "19311" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
160 "19327" 338 "19325" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
159 "19291" 340 "19292" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
157 "19333" 504 "19337" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
336 "19318" 506 "19317" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
339 "19304" 507 "19306" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
511 "19319" 513 "19316" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
341 "19313" 656 "19312" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
512 "19328" 658 "19329" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
337 "19350" 660 "19349" "M-168" "Kaunas-Šilainiai-Giraitė-Užliedžiai" 3 "14"
332 "19352" 816 "19351" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
505 "19336" 817 "19332" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
655 "19310" 821 "19307" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
161 "19341" 826 "19342" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
812 "16052" 956 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
982 "19347" 983 "19346" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
984 "19315" 985 "19314" "M-101" "Kauno pilis-Giraitė-Užliedžiai" 3 "14"
986 "19309" 987 "19305" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
819 "19283" 989 "19286" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
657 "19359" 990 "19357" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
820 "19326" 991 "19324" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
508 "19282" 992 "19284" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
822 "19300" 993 "19301" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
659 "19294" 994 "19348" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
664 "19295" 997 "19298" "M-120" "Karmėlava-Ramučiai" 3 "14"
156 "19321" 1161 "19320" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
996 "19281" 1162 "19287" "M-168" "Vosiškiai-Babtai" 3 "14"
818 "19340" 1164 "19344" "M-146" "Kaunas-Žiegždriai" 3 "14"
823 "19288" 1165 "19285" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
1163 "19323" 1166 "19322" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
825 "19338" 1167 "19339" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
509 "19334" 1168 "19335" "M-151" "Kaunas-Ramučiai" 3 "14"
429 "3645" 1231 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
331 "19345" 1339 "19343" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
333 "19355" 1340 "19356" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
988 "19362" 1341 "19361" "M-156" "Kaunas - Neveronys" 3 "14"
334 "19354" 1342 "19353" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
995 "19358" 1343 "19360" "M-168" "Kaunas-Giraitė-Užliedžiai-Babtai-Vosiškiai" 3 "14"
1344 "19330" 1345 "19331" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
824 "19296" 1346 "19299" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
827 "19297" 1347 "19293" "M-101A" "Kauno pilis-Šilainiai-Giraitė-Užliedžiai" 3 "14"
1169 "19289" 1348 "19290" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
510 "19303" 1349 "19302" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4152

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 4152 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" 478552 29882.7 878 478551 29882.7 877 0.12791084993239907
"2328" 383370 35929.8 642 383369 35929.8 641 0.11119510090982554
"3659" 473602 49657.5 1177 473601 49657.5 1176 0.12791084993239907
"42205" 3252369 57850.1 335 3252368 57850.1 334 0.06178544815632574
"2369" 368619 63265.5 1261 368618 63265.5 1260 0.11119510090982554
"2385" 583624 69168.3 1771 583623 69168.3 1770 0.06441976500794575
"28733" 2273471 71509.2 1569 2273470 71509.2 1568 0.06441976500794575
"1919" 748203 136875.8 2842 748202 136875.8 2841 0.12752942403551987
"1919" 748206 136876.0 2845 748205 136876.0 2844 0.11119510090982554
"1919" 748213 136876.5 2852 748212 136876.5 2851 0.11119510232447394
"1919" 748216 136876.7 2855 748215 136876.7 2854 0.11119510161714974
"1919" 748219 136876.9 2858 748218 136876.9 2857 0.12752941555597483
"1919" 748228 136877.5 2867 748227 136877.5 2866 0.11119510090982554
"1919" 748231 136877.7 2870 748230 136877.7 2869 0.11119510161714974
"1919" 748234 136877.9 2873 748233 136877.9 2872 0.11119510090982554
"1919" 748241 136878.4 2880 748240 136878.4 2879 0.11119510090982554
"1919" 748244 136878.6 2883 748243 136878.6 2882 0.11119510161714974
"1919" 748253 136879.2 2892 748252 136879.2 2891 0.11119510090982554
"1919" 748256 136879.4 2895 748255 136879.4 2894 0.12752939825777979
"1919" 748259 136879.6 2898 748258 136879.6 2897 0.11119510161714974
"1919" 748268 136880.2 2907 748267 136880.2 2906 0.11119510161714974
"1919" 748272 136880.5 2911 748271 136880.5 2910 0.06244513630731429
"1919" 748278 136880.9 2917 748277 136880.9 2916 0.11119510161714974
"1919" 748281 136881.1 2920 748280 136881.1 2919 0.11119510090982554
"1919" 748284 136881.3 2923 748283 136881.3 2922 0.11119510090982554
"1919" 748293 136881.9 2932 748292 136881.9 2931 0.12752938095958766
"1919" 748296 136882.1 2935 748295 136882.1 2934 0.11119510161714974
"1919" 748307 136882.8 2946 748306 136882.8 2945 0.11119510161714974
"1919" 748312 136883.1 2951 748311 136883.1 2950 0.11119510161714974
"1919" 748320 136883.6 2959 748319 136883.6 2958 0.11119510090982554
"1919" 748325 136883.9 2964 748324 136883.9 2963 0.11119510090982554
"1919" 748338 136884.7 2977 748337 136884.7 2976 0.11119510161714974
"1919" 748340 136884.8 2979 748339 136884.8 2978 0.11119510090982554
"1919" 748343 136885.0 2982 748342 136885.0 2981 0.11119510161714974
"1919" 748351 136885.5 2990 748350 136885.5 2989 0.1275293557985862
"1919" 748353 136885.6 2992 748352 136885.6 2991 0.11119510161714974
"1919" 748356 136885.8 2995 748355 136885.8 2994 0.11119510090982554
"1919" 748358 136885.9 2997 748357 136885.9 2996 0.11119510232447394
"1919" 748364 136886.3 3003 748363 136886.3 3002 0.06244505260741443
"1919" 748369 136886.6 3008 748368 136886.6 3007 0.11119510161714974
"1919" 748371 136886.7 3010 748370 136886.7 3009 0.11119510090982554
"1919" 748374 136886.9 3013 748373 136886.9 3012 0.11119510090982554
"1919" 748376 136887.0 3015 748375 136887.0 3014 0.11119510090982554
"1919" 748382 136887.4 3021 748381 136887.4 3020 0.11119510090982554
"1919" 748384 136887.5 3023 748383 136887.5 3022 0.11119510161714974
"1919" 748387 136887.7 3026 748386 136887.7 3025 0.11119510090982554
"1919" 748389 136887.8 3028 748388 136887.8 3027 0.11119510161714974
"1919" 748400 136888.5 3039 748399 136888.5 3038 0.11119510161714974
"1919" 748402 136888.6 3041 748401 136888.6 3040 0.11119510090982554
"1919" 748405 136888.8 3044 748404 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 14143

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 14143 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" 2996300 350.5 28 2996299 350.5 27
"43541" 2996311 811.7 39 2996310 811.7 38
"43541" 2996350 1779.8 78 2996349 1779.8 77
"43541" 2996394 3184.3 122 2996393 3184.3 121
"43541" 2996427 4418.1 155 2996426 4418.1 154
"43541" 2996443 4854.6 171 2996442 4854.6 170
"43541" 2996492 6561.9 220 2996491 6561.9 219
"43541" 2996528 7544.1 256 2996527 7544.1 255
"43541" 2996567 8757.6 295 2996566 8757.6 294
"43541" 2996584 9358.6 312 2996583 9358.6 311
"43541" 2996611 9709.1 339 2996610 9709.1 338
"43541" 2996657 10376.7 385 2996656 10376.7 384
"43541" 2996710 11116.1 438 2996709 11116.1 437
"43541" 2996741 11700.4 469 2996740 11700.4 468
"43541" 2996772 12284.8 500 2996771 12284.8 499
"43541" 2997033 14358.7 761 2997032 14358.7 760
"43541" 2997109 14706.8 837 2997108 14706.8 836
"43541" 2997209 15301.6 937 2997208 15301.6 936
"43541" 2997309 15896.4 1037 2997308 15896.4 1036
"43541" 2997385 16244.5 1113 2997384 16244.5 1112
"43541" 2997583 17133.2 1311 2997582 17133.2 1310
"43541" 2997826 18161.9 1554 2997825 18161.9 1553
"43541" 2997851 18472.3 1579 2997850 18472.3 1578
"43541" 2997901 18976.3 1629 2997900 18976.3 1628
"43541" 2998048 19673.4 1776 2998047 19673.4 1775
"43541" 2998277 21285.9 2005 2998276 21285.9 2004
"43541" 2998353 22756.6 2081 2998352 22756.6 2080
"43541" 2998429 24227.3 2157 2998428 24227.3 2156
"43541" 2998468 24719.6 2196 2998467 24719.6 2195
"43541" 2998485 25292.2 2213 2998484 25292.2 2212
"43541" 2998504 25625.9 2232 2998503 25625.9 2231
"43541" 2998592 26736.7 2320 2998591 26736.7 2319
"43541" 2998679 27236.5 2407 2998678 27236.5 2406
"43541" 2998728 28436.1 2456 2998727 28436.1 2455
"43541" 2998767 28928.5 2495 2998766 28928.5 2494
"43541" 2998818 29639.4 2546 2998817 29639.4 2545
"43541" 2999049 30811.2 2777 2999048 30811.2 2776
"43541" 2999125 31159.3 2853 2999124 31159.3 2852
"43541" 2999225 31754.1 2953 2999224 31754.1 2952
"43541" 2999325 32348.9 3053 2999324 32348.9 3052
"43541" 2999401 32697.0 3129 2999400 32697.0 3128
"43541" 2999599 33585.6 3327 2999598 33585.6 3326
"43541" 2999883 35228.5 3611 2999882 35228.5 3610
"43541" 2999936 35967.9 3664 2999935 35967.9 3663
"43541" 2999967 36552.2 3695 2999966 36552.2 3694
"43541" 2999998 37136.6 3726 2999997 37136.6 3725
"42206" 3252540 20641.7 108 3252539 20641.7 107
"42206" 3252563 24205.9 131 3252562 24205.9 130
"43537" 3263645 310.3 26 3263644 310.3 25
"43537" 3263658 811.7 39 3263657 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"
9496 "13743"
2385 "73341"
4678 "2499"
2333 "1256"
2329 "1271"
9461 "1294"
16505 "24602"
2 "1339"
4675 "2685"
16502 "12709"
7081 "1379"
9487 "2737"
11862 "2766"
8 "1461"
11874 "47502"
14164 "2814"
9491 "2849"
9492 "2852"
11864 "2850"
2531 "84569"
7096 "2980"
11863 "2975"
4676 "2974"
14163 "2972"
9505 "47985"
16496 "1954"
14172 "20239"
16506 "20237"
16504 "17222"
14170 "31530"
11870 "17343"
23 "43774"
16491 "678"
9460 "973"
57 "76307"
14212 "76308"
58 "76309"
9649 "65889"
16499 "3000"
4677 "3012"
4827 "65901"
16507 "13033"
2340 "13105"
11923 "76816"
2496 "76873"
11 "2009"
13 "2022"
11879 "48071"
25 "48073"
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.
5053 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 200289 17 "99227" "Krekenava" "14:03:00" 200290 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.
7317 "2699" "7597174"
7325 "2699" "7597139"
7344 "2699" "7597211"
7375 "2699" "7597208"
7410 "2699" "7597187"
7438 "2699" "7597170"
7470 "2699" "7597140"
7530 "2699" "7597156"
7551 "2699" "7597209"
7580 "2699" "7597189"
7597 "2699" "7597191"
7600 "2699" "7597133"
7669 "2699" "7597195"
7689 "2699" "7597171"
7745 "2699" "7597132"
7749 "2699" "7597147"
7826 "2699" "7597130"
7922 "2699" "7597181"
7951 "2699" "7597150"
8015 "2699" "7597196"
8036 "2699" "7597144"
8112 "2699" "7597128"
8126 "2699" "7597186"
8272 "2699" "7597155"
8308 "2699" "7597146"
8518 "2699" "7597198"
8609 "2699" "7597169"
8749 "2699" "7597184"
8840 "2699" "7597183"
8882 "2699" "7597148"
8902 "2699" "7597188"
8905 "2699" "7597203"
8910 "2699" "7597157"
9077 "2699" "7597194"
9088 "2699" "7597131"
9101 "2699" "7597163"
9183 "2699" "7597127"
9239 "2699" "7597141"
9263 "2699" "7597182"
9339 "2699" "7597212"
9406 "2699" "7597166"
9450 "2699" "7597177"
9508 "2699" "7597126"
9537 "2699" "7597138"
9656 "2699" "7597202"
9880 "2699" "7597125"
9950 "2699" "7597210"
9956 "2699" "7597201"
9958 "2699" "7597172"
10105 "2699" "7597136"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

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

missing_timepoint_value

stop_times.timepoint value is missing for a record.

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

You can see more about this notice here.

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

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "41891" 1
3 "41891" 2
4 "41891" 3
5 "41891" 4
6 "41891" 5
7 "41891" 6
8 "41891" 7
9 "41891" 8
10 "41891" 9
11 "41979" 1
12 "41979" 2
13 "41979" 3
14 "41979" 4
15 "41980" 1
16 "41980" 2
17 "41980" 3
18 "41980" 4
19 "41981" 1
20 "41981" 2
21 "41981" 3
22 "41981" 4
23 "41982" 1
24 "41982" 2
25 "41982" 3
26 "41982" 4
27 "42101" 1
28 "42101" 2
29 "42101" 4
30 "42101" 5
31 "42101" 6
32 "42103" 1
33 "42103" 2
34 "42103" 4
35 "42103" 5
36 "42103" 6
37 "42105" 1
38 "42105" 2
39 "42105" 4
40 "42105" 5
41 "42203" 1
42 "42203" 2
43 "42203" 3
44 "42203" 4
45 "42203" 5
46 "42203" 6
47 "42203" 7
48 "42203" 8
49 "42203" 9
50 "42203" 10
51 "42203" 11
mixed_case_recommended_field WARNING 342

mixed_case_recommended_field

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

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

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

You can see more about this notice here.

Only the first 50 of 342 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "UŽDAROJI AKCINĖ BENDROVĖ \"EMTRA\"" 42
"routes.txt" "route_short_name" "3_VLP" 12
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 68
"routes.txt" "route_short_name" "5_VLP" 168
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 211
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 293
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 316
"routes.txt" "route_short_name" "40-DT" 325
"routes.txt" "route_short_name" "2_VLP" 348
"routes.txt" "route_short_name" "94AT" 494
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 550
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 565
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 583
"routes.txt" "route_short_name" "94-DC" 633
"routes.txt" "route_short_name" "4_VLP" 671
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 740
"routes.txt" "route_short_name" "70AC" 759
"routes.txt" "route_short_name" "1A_VLP" 835
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 913
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 933
"routes.txt" "route_short_name" "2A_VLP" 1003
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1023
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1025
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1033
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1046
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1095
"routes.txt" "route_short_name" "50AB" 1113
"routes.txt" "route_short_name" "1_VLP" 1173
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1214
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1215
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1219
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1235
"stops.txt" "stop_name" "7-asis km." 55
"stops.txt" "stop_name" "7-asis kilometras A" 133
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 158
"stops.txt" "stop_name" "4-asis fortas B" 327
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 341
"stops.txt" "stop_name" "140 km" 684
"stops.txt" "stop_name" "9-ojo forto muziejus" 1659
"stops.txt" "stop_name" "2-ieji sodininkai" 1696
"stops.txt" "stop_name" "KTU inžinerijos licėjus B" 1943
"stops.txt" "stop_name" "HARJU ELEKTER UAB" 2233
"stops.txt" "stop_name" "40 km" 2834
"stops.txt" "stop_name" "žieda" 2852
"stops.txt" "stop_name" "16-sis kilometras" 2911
"stops.txt" "stop_name" "9 kilometras" 2997
"stops.txt" "stop_name" "9 kilometras" 2998
"stops.txt" "stop_name" "2-ieji sodininkai" 3217
"stops.txt" "stop_name" "III km." 3826
"stops.txt" "stop_name" "III km." 3866
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.
7395 "3636" "45756" 2988 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9611 "3651" "45771" 3017 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13451 "3653" "45773" 3018 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
9595 "43544" "8124133" 328483 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
7684 "43548" "8124139" 328521 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
7832 "26974" "7317014" 33481 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
7832 "26974" "7317014" 33482 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
7832 "26974" "7317014" 33497 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
8449 "29329" "7418310" 39364 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
14160 "29328" "7418309" 39341 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
8812 "16822" "2392139" 20582 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
7522 "16821" "2392134" 20524 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
8745 "16823" "2392142" 20639 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
7536 "18654" "3218451" 23389 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
8255 "32206" "7476585" 45316 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
8255 "32206" "7476585" 45317 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
8255 "32206" "7476585" 45318 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
8255 "32206" "7476585" 45321 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
8255 "32206" "7476585" 45326 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
14541 "3899" "46086" 3126 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14383 "3014" "43694" 2151 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
20020 "37872" "61_49W" 66018 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
7722 "29420" "7429613" 39901 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13265 "4529" "46899" 3949 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8085 "4527" "47691" 5138 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10252 "4528" "47692" 5139 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7555 "14622" "7150733" 32543 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
13886 "2821" "45017" 2912 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14861 "29615" "7432118" 40411 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
7614 "29616" "7432119" 40459 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5257 "21886" "60_A2-02-1-241209-ba-2100" 62767 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
5295 "21885" "60_A2-02-1-241209-ab-1210" 65381 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
6211 "21887" "60_A2-01-7-251110-ab3-1430" 329745 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
6222 "21891" "60_A2-01-7-251110-ab2-0730" 329822 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
5675 "21865" "60_A2-01-7-251110-b3a-0920" 329542 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
5655 "21872" "60_A2-02-6-251110-b2a-2020" 330604 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
9072 "3339" "46943" 3950 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
9486 "11705" "747606" 14568 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
8974 "6511" "54507" 8317 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
7350 "6509" "54501" 8263 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
14717 "6513" "54509" 8341 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
9309 "29093" "7413977" 37292 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
10014 "29092" "7413975" 37248 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
7778 "5232" "48165" 5385 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
13652 "3514" "45563" 2935 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13476 "3537" "45591" 2960 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7760 "17131" "2515700" 21016 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
14270 "3574" "45644" 2961 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13606 "3617" "45754" 2987 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
7520 "15331" "2211799" 17886 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
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.
8568 "3645" "57657" 10542 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10541 "12152" "Jonaičiai" [55.34641499999999,21.570023]
12943 "3667" "57730" 10681 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10680 "13926" "Jonaičiai" [55.346103,21.568929]
8219 "3714" "57736" 10755 "13926" "Jonaičiai" [55.346103,21.568929] 10754 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
13198 "13808" "1228372" 16682 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16681 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
13536 "28435" "7339430" 34842 "64819" "Suostas" [56.32837413018391,24.713657886432735] 34841 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
9668 "28434" "7339429" 34818 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 34817 "64820" "Suostas" [56.32837775901334,24.713656830174433]
8213 "6591" "57636" 10218 "13926" "Jonaičiai" [55.346103,21.568929] 10217 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
9714 "3554" "57639" 10258 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10257 "12152" "Jonaičiai" [55.34641499999999,21.570023]
14860 "29102" "7413991" 37372 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 37371 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
9940 "40377" "8016002" 88618 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 88617 "97223" "Tarvydai I" [55.328604,21.56423]
14548 "40378" "8016003" 88627 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 88626 "97223" "Tarvydai I" [55.328604,21.56423]
7680 "5353" "57622" 10047 "13926" "Jonaičiai" [55.346103,21.568929] 10046 "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