GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-03-11T06:06:38+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: 51
  • Blocks: 0
  • Routes: 1621
  • Shapes: 4204
  • Stops: 15441
  • Trips: 30239

Specification Compliance report

122138 notices reported (0 errors, 122105 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`.
168 "20163" 205 "20190" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
170 "20148" 219 "20207" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
210 "20191" 223 "20141" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
11 "20206" 225 "20138" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
211 "20196" 389 "20171" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
265 "6209" 402 "18329" "M1" "Alytus - Geniai" 3 "48"
15 "20145" 428 "20221" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
224 "20161" 430 "20186" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
423 "20197" 436 "20137" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
18 "20172" 626 "20195" "M-101A" "Kauno pilis-Šilainiai-Giraitė-Užliedžiai" 3 "14"
207 "20210" 632 "20139" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
8 "20187" 633 "20165" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
208 "20193" 636 "20140" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
206 "20199" 637 "20173" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
427 "20189" 782 "20169" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
215 "20200" 787 "20160" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
425 "20215" 826 "20143" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
426 "20182" 828 "20147" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
628 "20185" 829 "20155" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
629 "20198" 832 "20156" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
783 "20152" 836 "20202" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
833 "20142" 1006 "20216" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
14 "20133" 1007 "20208" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
222 "20154" 1008 "20218" "M-156" "Kaunas - Neveronys" 3 "14"
608 "20167" 1009 "20188" "M-151" "Kaunas-Ramučiai" 3 "14"
424 "20209" 1014 "20146" "M-101" "Kauno pilis-Giraitė-Užliedžiai" 3 "14"
627 "20214" 1018 "20151" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
9 "20201" 1020 "20134" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
975 "16052" 1104 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
13 "20159" 1212 "20219" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
1012 "20135" 1213 "20204" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
1182 "20150" 1214 "20213" "M-168" "Kaunas-Giraitė-Užliedžiai-Babtai-Vosiškiai" 3 "14"
973 "20144" 1215 "20205" "M-168" "Kaunas-Šilainiai-Giraitė-Užliedžiai" 3 "14"
213 "20217" 1219 "20162" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
220 "20194" 1220 "20157" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
817 "20203" 1221 "20153" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
209 "20220" 1222 "20136" "M-146" "Kaunas-Žiegždriai" 3 "14"
218 "20183" 1387 "20164" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
819 "20211" 1388 "20149" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
227 "20181" 1395 "20170" "M-120" "Karmėlava-Ramučiai" 3 "14"
1218 "20168" 1419 "20192" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
17 "20166" 1420 "20212" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
611 "20158" 1421 "20184" "M-168" "Vosiškiai-Babtai" 3 "14"
459 "3645" 1455 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4155

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 4155 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" 519235 29882.7 878 519234 29882.7 877 0.12791084993239907
"2328" 426938 35929.8 642 426937 35929.8 641 0.11119510090982554
"3659" 514285 49657.5 1177 514284 49657.5 1176 0.12791084993239907
"42205" 3564290 57850.1 335 3564289 57850.1 334 0.06178544815632574
"2369" 415742 63265.5 1261 415741 63265.5 1260 0.11119510090982554
"2385" 625199 69168.3 1771 625198 69168.3 1770 0.06441976500794575
"28733" 2393840 71509.2 1569 2393839 71509.2 1568 0.06441976500794575
"1919" 787929 136875.8 2842 787928 136875.8 2841 0.12752942403551987
"1919" 787932 136876.0 2845 787931 136876.0 2844 0.11119510090982554
"1919" 787939 136876.5 2852 787938 136876.5 2851 0.11119510232447394
"1919" 787942 136876.7 2855 787941 136876.7 2854 0.11119510161714974
"1919" 787945 136876.9 2858 787944 136876.9 2857 0.12752941555597483
"1919" 787954 136877.5 2867 787953 136877.5 2866 0.11119510090982554
"1919" 787957 136877.7 2870 787956 136877.7 2869 0.11119510161714974
"1919" 787960 136877.9 2873 787959 136877.9 2872 0.11119510090982554
"1919" 787967 136878.4 2880 787966 136878.4 2879 0.11119510090982554
"1919" 787970 136878.6 2883 787969 136878.6 2882 0.11119510161714974
"1919" 787979 136879.2 2892 787978 136879.2 2891 0.11119510090982554
"1919" 787982 136879.4 2895 787981 136879.4 2894 0.12752939825777979
"1919" 787985 136879.6 2898 787984 136879.6 2897 0.11119510161714974
"1919" 787994 136880.2 2907 787993 136880.2 2906 0.11119510161714974
"1919" 787998 136880.5 2911 787997 136880.5 2910 0.06244513630731429
"1919" 788004 136880.9 2917 788003 136880.9 2916 0.11119510161714974
"1919" 788007 136881.1 2920 788006 136881.1 2919 0.11119510090982554
"1919" 788010 136881.3 2923 788009 136881.3 2922 0.11119510090982554
"1919" 788019 136881.9 2932 788018 136881.9 2931 0.12752938095958766
"1919" 788022 136882.1 2935 788021 136882.1 2934 0.11119510161714974
"1919" 788033 136882.8 2946 788032 136882.8 2945 0.11119510161714974
"1919" 788038 136883.1 2951 788037 136883.1 2950 0.11119510161714974
"1919" 788046 136883.6 2959 788045 136883.6 2958 0.11119510090982554
"1919" 788051 136883.9 2964 788050 136883.9 2963 0.11119510090982554
"1919" 788064 136884.7 2977 788063 136884.7 2976 0.11119510161714974
"1919" 788066 136884.8 2979 788065 136884.8 2978 0.11119510090982554
"1919" 788069 136885.0 2982 788068 136885.0 2981 0.11119510161714974
"1919" 788077 136885.5 2990 788076 136885.5 2989 0.1275293557985862
"1919" 788079 136885.6 2992 788078 136885.6 2991 0.11119510161714974
"1919" 788082 136885.8 2995 788081 136885.8 2994 0.11119510090982554
"1919" 788084 136885.9 2997 788083 136885.9 2996 0.11119510232447394
"1919" 788090 136886.3 3003 788089 136886.3 3002 0.06244505260741443
"1919" 788095 136886.6 3008 788094 136886.6 3007 0.11119510161714974
"1919" 788097 136886.7 3010 788096 136886.7 3009 0.11119510090982554
"1919" 788100 136886.9 3013 788099 136886.9 3012 0.11119510090982554
"1919" 788102 136887.0 3015 788101 136887.0 3014 0.11119510090982554
"1919" 788108 136887.4 3021 788107 136887.4 3020 0.11119510090982554
"1919" 788110 136887.5 3023 788109 136887.5 3022 0.11119510161714974
"1919" 788113 136887.7 3026 788112 136887.7 3025 0.11119510090982554
"1919" 788115 136887.8 3028 788114 136887.8 3027 0.11119510161714974
"1919" 788126 136888.5 3039 788125 136888.5 3038 0.11119510161714974
"1919" 788128 136888.6 3041 788127 136888.6 3040 0.11119510090982554
"1919" 788131 136888.8 3044 788130 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 17278

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 17278 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" 3239450 350.5 28 3239449 350.5 27
"43541" 3239461 811.7 39 3239460 811.7 38
"43541" 3239500 1779.8 78 3239499 1779.8 77
"43541" 3239544 3184.3 122 3239543 3184.3 121
"43541" 3239577 4418.1 155 3239576 4418.1 154
"43541" 3239593 4854.6 171 3239592 4854.6 170
"43541" 3239642 6561.9 220 3239641 6561.9 219
"43541" 3239678 7544.1 256 3239677 7544.1 255
"43541" 3239717 8757.6 295 3239716 8757.6 294
"43541" 3239734 9358.6 312 3239733 9358.6 311
"43541" 3239761 9709.1 339 3239760 9709.1 338
"43541" 3239807 10376.7 385 3239806 10376.7 384
"43541" 3239860 11116.1 438 3239859 11116.1 437
"43541" 3239891 11700.4 469 3239890 11700.4 468
"43541" 3239922 12284.8 500 3239921 12284.8 499
"43541" 3240183 14358.7 761 3240182 14358.7 760
"43541" 3240259 14706.8 837 3240258 14706.8 836
"43541" 3240359 15301.6 937 3240358 15301.6 936
"43541" 3240459 15896.4 1037 3240458 15896.4 1036
"43541" 3240535 16244.5 1113 3240534 16244.5 1112
"43541" 3240733 17133.2 1311 3240732 17133.2 1310
"43541" 3240976 18161.9 1554 3240975 18161.9 1553
"43541" 3241001 18472.3 1579 3241000 18472.3 1578
"43541" 3241051 18976.3 1629 3241050 18976.3 1628
"43541" 3241198 19673.4 1776 3241197 19673.4 1775
"43541" 3241427 21285.9 2005 3241426 21285.9 2004
"43541" 3241503 22756.6 2081 3241502 22756.6 2080
"43541" 3241579 24227.3 2157 3241578 24227.3 2156
"43541" 3241618 24719.6 2196 3241617 24719.6 2195
"43541" 3241635 25292.2 2213 3241634 25292.2 2212
"43541" 3241654 25625.9 2232 3241653 25625.9 2231
"43541" 3241742 26736.7 2320 3241741 26736.7 2319
"43541" 3241829 27236.5 2407 3241828 27236.5 2406
"43541" 3241878 28436.1 2456 3241877 28436.1 2455
"43541" 3241917 28928.5 2495 3241916 28928.5 2494
"43541" 3241968 29639.4 2546 3241967 29639.4 2545
"43541" 3242199 30811.2 2777 3242198 30811.2 2776
"43541" 3242275 31159.3 2853 3242274 31159.3 2852
"43541" 3242375 31754.1 2953 3242374 31754.1 2952
"43541" 3242475 32348.9 3053 3242474 32348.9 3052
"43541" 3242551 32697.0 3129 3242550 32697.0 3128
"43541" 3242749 33585.6 3327 3242748 33585.6 3326
"43541" 3243033 35228.5 3611 3243032 35228.5 3610
"43541" 3243086 35967.9 3664 3243085 35967.9 3663
"43541" 3243117 36552.2 3695 3243116 36552.2 3694
"43541" 3243148 37136.6 3726 3243147 37136.6 3725
"43531" 2258848 1036.1 44 2258847 1036.1 43
"43531" 2258877 1669.1 73 2258876 1669.1 72
"43531" 2258904 2285.2 100 2258903 2285.2 99
"43531" 2258945 4091.8 141 2258944 4091.8 140
expired_calendar WARNING 65

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 65 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
11574 "13743"
2873 "73341"
5694 "2499"
2820 "1256"
2816 "1271"
11539 "1294"
20065 "24601"
20059 "24602"
2 "1339"
5691 "2685"
20056 "12709"
8634 "1379"
11565 "2737"
14434 "2766"
9 "1461"
14447 "47502"
17220 "2814"
11569 "2849"
11570 "2852"
14436 "2850"
8649 "2980"
14435 "2975"
5692 "2974"
17219 "2972"
11585 "47985"
20050 "1954"
17228 "20239"
20060 "20237"
20058 "17222"
17226 "31530"
14442 "17343"
23 "43774"
20045 "678"
11538 "973"
54 "76307"
17267 "76308"
55 "76309"
20053 "3000"
5693 "3012"
20061 "13033"
2829 "13105"
14496 "76816"
12 "2009"
14 "2022"
14452 "48071"
26 "48073"
11557 "2066"
14451 "48062"
8647 "2111"
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.
12465 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 218464 17 "99227" "Krekenava" "14:03:00" 218465 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.
2164 "2699" "7597147"
2249 "2699" "7597130"
2273 "2699" "7597181"
2305 "2699" "7597150"
2397 "2699" "7597128"
2418 "2699" "7597186"
2432 "2699" "7597155"
2479 "2699" "7597146"
2797 "2699" "7597188"
2800 "2699" "7597203"
2808 "2699" "7597157"
2935 "2699" "7597127"
3005 "2699" "7597166"
3056 "2699" "7597177"
3112 "2699" "7597202"
3181 "2699" "7597125"
3260 "2699" "7597210"
3268 "2699" "7597201"
3270 "2699" "7597172"
3319 "2699" "7597164"
3327 "2699" "7597176"
3344 "2699" "7597137"
3400 "2699" "7597170"
3438 "2699" "7597140"
3494 "2699" "7597191"
3500 "2699" "7597133"
3584 "2699" "7597141"
3613 "2699" "7597182"
3665 "2699" "7597132"
3910 "2699" "7597126"
3981 "2699" "7597196"
4003 "2699" "7597144"
4193 "2699" "7597138"
4436 "2699" "7597185"
4448 "2699" "7597205"
4456 "2699" "7597145"
4975 "2699" "7597161"
4993 "2699" "7597151"
5003 "2699" "7597197"
5170 "2699" "7597199"
5201 "2699" "7597200"
5252 "2699" "7597174"
5263 "2699" "7597139"
5381 "2699" "7597135"
5384 "2699" "7597165"
5451 "2699" "7597169"
5525 "2699" "7597183"
5591 "2699" "7597159"
5653 "2699" "7597160"
5779 "2699" "7597148"
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 374

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 374 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_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 74
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 178
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 180
"routes.txt" "route_short_name" "3_VLP" 195
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 272
"routes.txt" "route_short_name" "40-DT" 351
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 363
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 364
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 391
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 393
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 398
"routes.txt" "route_short_name" "5_VLP" 416
"routes.txt" "route_short_name" "94AT" 584
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 601
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 602
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 603
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 605
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 606
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 609
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 610
"routes.txt" "route_short_name" "2_VLP" 620
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 643
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 647
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 655
"routes.txt" "route_short_name" "94-DC" 712
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 793
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 875
"routes.txt" "route_short_name" "70AC" 931
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 982
"routes.txt" "route_short_name" "4_VLP" 996
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1066
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1088
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1102
"routes.txt" "route_short_name" "1A_VLP" 1205
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1256
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1260
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1264
"routes.txt" "route_short_name" "50AB" 1287
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1298
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1375
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 1389
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1390
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 1392
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1393
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1394
"routes.txt" "route_short_name" "2A_VLP" 1410
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1431
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1473
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1489
stop_too_far_from_shape WARNING 56

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 56 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.
7660 "3636" "45756" 2854 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
6709 "3651" "45771" 2883 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
6198 "3653" "45773" 2884 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
6690 "43544" "8124133" 402119 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
8048 "43548" "8124139" 402157 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
2257 "26974" "7317014" 39413 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
2257 "26974" "7317014" 39414 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
2257 "26974" "7317014" 39429 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
5388 "16822" "2392140" 25538 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
3204 "16821" "2392135" 25472 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
5921 "16823" "2392141" 25557 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
7727 "18654" "3218451" 28734 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
4660 "32206" "7476585" 52178 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
4660 "32206" "7476585" 52179 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
4660 "32206" "7476585" 52180 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
4660 "32206" "7476585" 52183 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
4660 "32206" "7476585" 52188 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
3812 "3899" "46086" 2992 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
7846 "3014" "43694" 2017 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
15196 "37872" "61_49W" 78799 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
3641 "29420" "7429613" 46865 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
6652 "4529" "46899" 3928 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4306 "4527" "47691" 5442 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4850 "4528" "47692" 5443 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3152 "14622" "7150732" 38291 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
7250 "2821" "45017" 2778 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4701 "29615" "7432118" 47273 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
3521 "29616" "7432119" 47321 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
10164 "21886" "60_A4-01-6-251110-ba-0730" 404580 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
871 "21885" "60_A30-01-7-251110-ab-1650" 403300 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1303 "21887" "60_A2-01-7-251110-ab3-1430" 403525 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1315 "21891" "60_A2-01-7-251110-ab2-0730" 403602 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
8224 "21865" "60_A2-01-7-251110-b3a-1150" 405434 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
926 "21872" "60_A2-01-6-251110-b2a-0930" 404190 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
5809 "3339" "46943" 3929 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2614 "4710" "47249" 4660 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
2676 "4711" "47250" 4661 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
3883 "11705" "747606" 18630 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
6569 "6511" "54508" 10584 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3644 "6509" "54502" 10533 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
4382 "6513" "54509" 10596 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3183 "29093" "7413976" 44335 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
4569 "29092" "7413975" 44305 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2194 "5232" "48165" 5777 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
2403 "27242" "7322654" 40782 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2785 "27240" "7322650" 40716 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
6544 "27239" "7322649" 40708 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5496 "27236" "7322644" 40690 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2258 "27237" "7322647" 40699 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
6313 "3514" "45563" 2801 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
stops_match_shape_out_of_order WARNING 13

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.
5290 "3645" "57657" 14579 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14578 "12152" "Jonaičiai" [55.34641499999999,21.570023]
5390 "3667" "57730" 14718 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14717 "13926" "Jonaičiai" [55.346103,21.568929]
4614 "3714" "57736" 14792 "13926" "Jonaičiai" [55.346103,21.568929] 14791 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
5642 "13808" "1228372" 21414 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 21413 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
4589 "26489" "7231018" 38884 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 38883 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
5984 "28435" "7339430" 41987 "64819" "Suostas" [56.32837413018391,24.713657886432735] 41986 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
3129 "28434" "7339429" 41963 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 41962 "64820" "Suostas" [56.32837775901334,24.713656830174433]
4606 "6591" "57636" 14255 "13926" "Jonaičiai" [55.346103,21.568929] 14254 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
4216 "3554" "57639" 14295 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14294 "12152" "Jonaičiai" [55.34641499999999,21.570023]
4700 "29102" "7413991" 44429 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 44428 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
3247 "40377" "8016002" 112758 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 112757 "97223" "Tarvydai I" [55.328604,21.56423]
3819 "40378" "8016003" 112767 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 112766 "97223" "Tarvydai I" [55.328604,21.56423]
2995 "5353" "57623" 14101 "13926" "Jonaičiai" [55.346103,21.568929] 14100 "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