GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-05-10T06:11:26+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

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

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

Summary

Agencies included


Feed Info


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

Files included


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

Counts


  • Agencies: 53
  • Blocks: 0
  • Routes: 1671
  • Shapes: 4370
  • Stops: 15843
  • Trips: 30415

Specification Compliance report

125298 notices reported (0 errors, 125265 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`.
6 "21118" 14 "21121" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
21 "21148" 23 "21141" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
208 "21144" 209 "21142" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
213 "21183" 214 "21187" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
212 "21120" 216 "21129" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
17 "21189" 223 "21190" "M-151" "Kaunas-Ramučiai" 3 "14"
20 "21168" 227 "21166" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
278 "6209" 361 "18329" "M1" "Alytus - Geniai" 3 "48"
366 "21193" 367 "21191" "M-120" "Karmėlava-Ramučiai" 3 "14"
4 "21180" 433 "21177" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
211 "21114" 437 "21116" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
221 "21135" 438 "21137" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
217 "21126" 440 "21123" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
443 "21143" 444 "21147" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
130 "21196" 551 "21195" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
434 "21150" 646 "21152" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
210 "21122" 831 "21125" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
8 "21119" 840 "21117" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
9 "21161" 841 "21174" "M-156" "Kaunas - Neveronys" 3 "14"
16 "21132" 843 "21131" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
226 "21170" 844 "21173" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
436 "21175" 1031 "21171" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
5 "21162" 1032 "21164" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
439 "21130" 1033 "21128" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
833 "21192" 1034 "21179" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
835 "21184" 1035 "21182" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
215 "21124" 1036 "21127" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
647 "21159" 1037 "21156" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
836 "21160" 1038 "21157" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
225 "21155" 1043 "21158" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
22 "21149" 1045 "21115" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
967 "16052" 1074 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
1030 "21133" 1255 "21139" "M-180" "Kaunas-Aleksotas-Tabariškiai-Girininkai" 3 "14"
656 "21165" 1261 "21163" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
19 "21136" 1264 "21134" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
3 "21167" 1447 "21169" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
830 "21172" 1448 "21154" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
834 "21146" 1449 "21145" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
832 "21181" 1450 "21178" "M-168" "Vosiškiai-Babtai" 3 "14"
1451 "21151" 1452 "21153" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
435 "21138" 1458 "21140" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
845 "21176" 1459 "21185" "M-166" "Kaunas-Kačerginė-Zapyškis-SB\"Baldininkas\"" 3 "14"
1046 "21186" 1461 "21188" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
498 "3645" 1524 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 3903

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 3903 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" 492772 29882.7 878 492771 29882.7 877 0.12791084993239907
"2328" 408702 35929.8 642 408701 35929.8 641 0.11119510090982554
"3659" 487822 49657.5 1177 487821 49657.5 1176 0.12791084993239907
"42205" 3665716 57850.1 335 3665715 57850.1 334 0.06178544815632574
"2369" 402353 63265.5 1261 402352 63265.5 1260 0.11119510090982554
"2385" 598736 69168.3 1771 598735 69168.3 1770 0.06441976500794575
"28733" 2334114 71509.2 1569 2334113 71509.2 1568 0.06441976500794575
"1919" 742086 136875.8 2842 742085 136875.8 2841 0.12752942403551987
"1919" 742089 136876.0 2845 742088 136876.0 2844 0.11119510090982554
"1919" 742096 136876.5 2852 742095 136876.5 2851 0.11119510232447394
"1919" 742099 136876.7 2855 742098 136876.7 2854 0.11119510161714974
"1919" 742102 136876.9 2858 742101 136876.9 2857 0.12752941555597483
"1919" 742111 136877.5 2867 742110 136877.5 2866 0.11119510090982554
"1919" 742114 136877.7 2870 742113 136877.7 2869 0.11119510161714974
"1919" 742117 136877.9 2873 742116 136877.9 2872 0.11119510090982554
"1919" 742124 136878.4 2880 742123 136878.4 2879 0.11119510090982554
"1919" 742127 136878.6 2883 742126 136878.6 2882 0.11119510161714974
"1919" 742136 136879.2 2892 742135 136879.2 2891 0.11119510090982554
"1919" 742139 136879.4 2895 742138 136879.4 2894 0.12752939825777979
"1919" 742142 136879.6 2898 742141 136879.6 2897 0.11119510161714974
"1919" 742151 136880.2 2907 742150 136880.2 2906 0.11119510161714974
"1919" 742155 136880.5 2911 742154 136880.5 2910 0.06244513630731429
"1919" 742161 136880.9 2917 742160 136880.9 2916 0.11119510161714974
"1919" 742164 136881.1 2920 742163 136881.1 2919 0.11119510090982554
"1919" 742167 136881.3 2923 742166 136881.3 2922 0.11119510090982554
"1919" 742176 136881.9 2932 742175 136881.9 2931 0.12752938095958766
"1919" 742179 136882.1 2935 742178 136882.1 2934 0.11119510161714974
"1919" 742190 136882.8 2946 742189 136882.8 2945 0.11119510161714974
"1919" 742195 136883.1 2951 742194 136883.1 2950 0.11119510161714974
"1919" 742203 136883.6 2959 742202 136883.6 2958 0.11119510090982554
"1919" 742208 136883.9 2964 742207 136883.9 2963 0.11119510090982554
"1919" 742221 136884.7 2977 742220 136884.7 2976 0.11119510161714974
"1919" 742223 136884.8 2979 742222 136884.8 2978 0.11119510090982554
"1919" 742226 136885.0 2982 742225 136885.0 2981 0.11119510161714974
"1919" 742234 136885.5 2990 742233 136885.5 2989 0.1275293557985862
"1919" 742236 136885.6 2992 742235 136885.6 2991 0.11119510161714974
"1919" 742239 136885.8 2995 742238 136885.8 2994 0.11119510090982554
"1919" 742241 136885.9 2997 742240 136885.9 2996 0.11119510232447394
"1919" 742247 136886.3 3003 742246 136886.3 3002 0.06244505260741443
"1919" 742252 136886.6 3008 742251 136886.6 3007 0.11119510161714974
"1919" 742254 136886.7 3010 742253 136886.7 3009 0.11119510090982554
"1919" 742257 136886.9 3013 742256 136886.9 3012 0.11119510090982554
"1919" 742259 136887.0 3015 742258 136887.0 3014 0.11119510090982554
"1919" 742265 136887.4 3021 742264 136887.4 3020 0.11119510090982554
"1919" 742267 136887.5 3023 742266 136887.5 3022 0.11119510161714974
"1919" 742270 136887.7 3026 742269 136887.7 3025 0.11119510090982554
"1919" 742272 136887.8 3028 742271 136887.8 3027 0.11119510161714974
"1919" 742283 136888.5 3039 742282 136888.5 3038 0.11119510161714974
"1919" 742285 136888.6 3041 742284 136888.6 3040 0.11119510090982554
"1919" 742288 136888.8 3044 742287 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 20671

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 20671 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`.
"55560" 3349466 25.8 3 3349465 25.8 2
"55560" 3349507 2388.3 44 3349506 2388.3 43
"55560" 3349519 3182.6 56 3349518 3182.6 55
"55560" 3349523 3262.5 60 3349522 3262.5 59
"55560" 3349578 5428.3 115 3349577 5428.3 114
"55560" 3349587 5767.2 124 3349586 5767.2 123
"55560" 3349589 5959.5 126 3349588 5959.5 125
"55560" 3349592 6072.2 129 3349591 6072.2 128
"55560" 3349612 7328.9 149 3349611 7328.9 148
"55560" 3349647 9433.5 184 3349646 9433.5 183
"55560" 3349662 10146.9 199 3349661 10146.9 198
"55560" 3349683 11247.0 220 3349682 11247.0 219
"55560" 3349687 11334.1 224 3349686 11334.1 223
"55560" 3349737 14027.0 274 3349736 14027.0 273
"55560" 3349750 14822.5 287 3349749 14822.5 286
"55560" 3349775 16299.5 312 3349774 16299.5 311
"55560" 3349803 17487.3 340 3349802 17487.3 339
"55560" 3349841 19123.6 378 3349840 19123.6 377
"55560" 3349848 19373.1 385 3349847 19373.1 384
"55560" 3349875 20736.5 412 3349874 20736.5 411
"55560" 3349879 20821.5 416 3349878 20821.5 415
"55560" 3349911 21684.5 448 3349910 21684.5 447
"55560" 3349914 21734.4 451 3349913 21734.4 450
"55560" 3349921 22070.6 458 3349920 22070.6 457
"55560" 3349928 22632.4 465 3349927 22632.4 464
"55560" 3349935 23104.4 472 3349934 23104.4 471
"55560" 3349952 23985.8 489 3349951 23985.8 488
"55560" 3349958 24095.3 495 3349957 24095.3 494
"55560" 3349960 24162.1 497 3349959 24162.1 496
"55564" 3351968 387.4 21 3351967 387.4 20
"55564" 3351976 517.7 29 3351975 517.7 28
"55564" 3352000 1286.2 53 3351999 1286.2 52
"55564" 3352011 1651.0 64 3352010 1651.0 63
"55564" 3352014 1717.3 67 3352013 1717.3 66
"55564" 3352016 1746.4 69 3352015 1746.4 68
"55564" 3352018 1790.4 71 3352017 1790.4 70
"55564" 3352021 1896.5 74 3352020 1896.5 73
"55564" 3352024 1925.9 77 3352023 1925.9 76
"55564" 3352028 2045.2 81 3352027 2045.2 80
"55564" 3352033 2341.1 86 3352032 2341.1 85
"55564" 3352042 2582.6 95 3352041 2582.6 94
"55564" 3352046 2663.9 99 3352045 2663.9 98
"55564" 3352058 2771.7 111 3352057 2771.7 110
"55564" 3352073 2855.1 126 3352072 2855.1 125
"55564" 3352078 2992.2 131 3352077 2992.2 130
"55564" 3352086 3182.5 139 3352085 3182.5 138
"55564" 3352088 3254.5 141 3352087 3254.5 140
"55564" 3352094 3485.8 147 3352093 3485.8 146
"55564" 3352114 4000.4 167 3352113 4000.4 166
"55564" 3352134 4321.1 187 3352133 4321.1 186
expired_calendar WARNING 92

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 92 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3713 "73341"
3668 "1256"
3664 "1271"
14959 "1294"
25916 "24601"
2 "1339"
25908 "12709"
11205 "1379"
9 "1461"
25902 "1954"
22227 "20239"
25911 "20237"
3686 "44515"
3685 "44517"
25910 "17222"
18642 "17343"
41 "76307"
22258 "76308"
42 "76309"
25912 "13033"
3677 "13105"
18680 "76816"
12 "2009"
14 "2022"
14977 "2066"
11218 "2111"
18633 "2123"
14979 "2137"
15019 "62494"
7418 "2158"
7421 "2175"
7423 "2173"
22212 "2206"
7424 "2205"
14981 "2218"
18631 "2217"
22215 "2216"
18627 "2213"
25901 "2224"
11221 "2285"
14994 "13743"
7428 "2499"
17915 "96279"
7425 "2685"
14271 "96379"
17951 "96371"
28859 "96372"
17950 "96370"
17921 "96321"
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.
29455 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 160639 17 "99227" "Krekenava" "14:03:00" 160640 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.
2180 "2699" "7597192"
2275 "2699" "7597167"
2279 "2699" "7597134"
2288 "2699" "7597206"
2294 "2699" "7597143"
2305 "2699" "7597190"
2341 "2699" "7597204"
2395 "2699" "7597142"
2426 "2699" "7597185"
2435 "2699" "7597205"
2446 "2699" "7597145"
2634 "2699" "7597161"
2653 "2699" "7597151"
2664 "2699" "7597197"
2720 "2699" "7597199"
2757 "2699" "7597200"
2838 "2699" "7597135"
2843 "2699" "7597165"
2909 "2699" "7597160"
3067 "2699" "7597180"
3121 "2699" "7597193"
3131 "2699" "7597175"
3261 "2699" "7597129"
3271 "2699" "7597153"
3324 "2699" "7597173"
17974 "2699" "7597131"
17992 "2699" "7597163"
18171 "2699" "7597133"
18255 "2699" "7597147"
18281 "2699" "7597212"
18387 "2699" "7597188"
18390 "2699" "7597203"
18399 "2699" "7597157"
18535 "2699" "7597130"
18558 "2699" "7597181"
18736 "2699" "7597127"
18791 "2699" "7597150"
19014 "2699" "7597166"
19090 "2699" "7597128"
19112 "2699" "7597186"
19190 "2699" "7597136"
19235 "2699" "7597177"
19297 "2699" "7597202"
19329 "2699" "7597211"
19367 "2699" "7597208"
19477 "2699" "7597125"
19515 "2699" "7597187"
19555 "2699" "7597156"
19581 "2699" "7597209"
19655 "2699" "7597210"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

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

missing_timepoint_value

stop_times.timepoint value is missing for a record.

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

You can see more about this notice here.

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

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

mixed_case_recommended_field

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

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

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

You can see more about this notice here.

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

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "UŽDAROJI AKCINĖ BENDROVĖ \"EMTRA\"" 53
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 134
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 136
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 137
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 139
"routes.txt" "route_short_name" "3_VLP" 147
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 160
"routes.txt" "route_short_name" "40-DT" 249
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 254
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 258
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 304
"routes.txt" "route_short_name" "5_VLP" 364
"routes.txt" "route_short_name" "94AT" 487
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 553
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 554
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 559
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 561
"routes.txt" "route_short_name" "2_VLP" 572
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 685
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 693
"routes.txt" "route_short_name" "94-DC" 715
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 735
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 750
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 751
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 890
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 944
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 945
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 946
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 956
"routes.txt" "route_short_name" "4_VLP" 968
"routes.txt" "route_short_name" "70AC" 1016
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1142
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1154
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1155
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1156
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1164
"routes.txt" "route_short_name" "1A_VLP" 1177
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1198
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1234
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1293
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1357
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1358
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1361
"routes.txt" "route_short_name" "2A_VLP" 1383
"routes.txt" "route_short_name" "50AB" 1406
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1421
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1433
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1508
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1528
"routes.txt" "route_long_name" "PASVALYS-GULBINĖNAI PER KRINČINĄ" 1542
stop_too_far_from_shape WARNING 48

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.
19396 "3636" "45756" 2633 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18620 "3651" "45771" 2662 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
29787 "3653" "45773" 2663 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
18600 "43544" "8124133" 222517 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
19753 "43548" "8124139" 222555 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
2873 "26974" "7317016" 41168 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
2873 "26974" "7317016" 41169 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
2873 "26974" "7317016" 41184 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
19563 "18654" "3218451" 27639 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
2348 "32206" "7476584" 52011 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
2348 "32206" "7476584" 52012 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
2348 "32206" "7476584" 52013 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
2348 "32206" "7476584" 52016 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
2348 "32206" "7476584" 52021 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
3420 "3899" "46086" 2771 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3294 "3014" "43694" 1885 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
19794 "29420" "7429613" 47138 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2315 "4529" "46899" 3707 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20436 "4527" "47691" 5221 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20684 "4528" "47692" 5222 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19441 "14622" "7150732" 40035 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
20270 "2821" "45017" 2557 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2490 "29615" "7432118" 47546 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
18192 "29616" "7432119" 47594 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
8252 "21886" "60_A2-02-1-241209-ba-0720" 76367 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
6704 "21885" "60_A2-02-6-060404-ab-1940" 412445 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
22858 "21887" "60_A2-01-7-060404-ab3-1430" 414817 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
10007 "21891" "60_A2-01-1-241209-ab2-1640" 76202 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
7514 "21865" "60_A2-01-7-060404-b3a-0920" 412867 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
7320 "21872" "60_A2-02-6-060404-b2a-1810" 414496 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
21882 "3339" "46943" 3708 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2145 "4710" "47248" 4427 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
19706 "4711" "47251" 4452 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
21713 "11705" "747606" 18158 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20896 "6511" "54507" 10419 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19338 "6509" "54501" 10365 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2066 "6513" "54509" 10443 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
18041 "29093" "7413977" 44841 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
20392 "29092" "7413975" 44797 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2216 "5232" "48166" 5632 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
17942 "44681" "8136898" 233609 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
2181 "3514" "45563" 2580 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2951 "3537" "45591" 2605 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18462 "17131" "2515700" 24952 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
3197 "3574" "45644" 2606 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
29408 "3617" "45754" 2632 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19543 "15331" "2211799" 22010 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
20938 "15330" "2211796" 21985 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 16

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.
21264 "3645" "57657" 14476 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14475 "12152" "Jonaičiai" [55.34641499999999,21.570023]
2848 "3667" "57730" 14615 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14614 "13926" "Jonaičiai" [55.346103,21.568929]
20755 "3714" "57736" 14689 "13926" "Jonaičiai" [55.346103,21.568929] 14688 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
28955 "13808" "1228372" 20694 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20693 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
20727 "26489" "7231018" 40628 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 40627 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
21016 "35668" "7652364" 63080 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 63079 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
3027 "28435" "7339430" 42527 "64819" "Suostas" [56.32837413018391,24.713657886432735] 42526 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
19320 "28434" "7339429" 42503 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 42502 "64820" "Suostas" [56.32837775901334,24.713656830174433]
18617 "6591" "57635" 14136 "13926" "Jonaičiai" [55.346103,21.568929] 14135 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
2868 "3554" "57643" 14280 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14279 "12152" "Jonaičiai" [55.34641499999999,21.570023]
2489 "29102" "7413991" 44921 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 44920 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
19641 "40377" "8016002" 100470 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 100469 "97223" "Tarvydai I" [55.328604,21.56423]
3426 "40378" "8016003" 100479 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 100478 "97223" "Tarvydai I" [55.328604,21.56423]
3102 "5353" "57618" 13964 "13926" "Jonaičiai" [55.346103,21.568929] 13963 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
20511 "54901" "8226897" 479578 "45588" "Balbieriškis" [54.524770000000004,23.885448] 479577 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
21365 "54903" "8241502" 632977 "45588" "Balbieriškis" [54.524770000000004,23.885448] 632976 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
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