GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-05-09T06:08:44+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: 52
  • Blocks: 0
  • Routes: 1636
  • Shapes: 4254
  • Stops: 15562
  • Trips: 30222

Specification Compliance report

125201 notices reported (0 errors, 125168 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`.
25 "21121" 27 "21118" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
41 "21141" 42 "21148" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
28 "21189" 237 "21190" "M-151" "Kaunas-Ramučiai" 3 "14"
241 "21183" 242 "21187" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
244 "21142" 245 "21144" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
208 "18329" 378 "6209" "M1" "Alytus - Geniai" 3 "48"
197 "21168" 414 "21166" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
416 "21129" 418 "21120" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
419 "21193" 420 "21191" "M-120" "Karmėlava-Ramučiai" 3 "14"
14 "21196" 430 "21195" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
413 "21114" 453 "21116" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
43 "21180" 460 "21177" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
461 "21147" 462 "21143" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
243 "21135" 463 "21137" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
246 "21126" 465 "21123" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
464 "21150" 667 "21152" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
40 "21161" 841 "21174" "M-156" "Kaunas - Neveronys" 3 "14"
36 "21132" 855 "21131" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
38 "21119" 858 "21117" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
417 "21170" 1007 "21173" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
415 "21122" 1008 "21125" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
840 "21160" 1035 "21157" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
229 "21124" 1036 "21127" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
842 "21184" 1037 "21182" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
44 "21162" 1046 "21164" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
456 "21175" 1050 "21171" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
240 "21155" 1051 "21158" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
457 "21130" 1052 "21128" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
860 "21192" 1054 "21179" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
817 "16052" 1084 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
200 "21149" 1221 "21115" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
811 "21159" 1223 "21156" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
1053 "21133" 1237 "21139" "M-180" "Kaunas-Aleksotas-Tabariškiai-Girininkai" 3 "14"
198 "21136" 1414 "21134" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
812 "21165" 1415 "21163" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
26 "21167" 1452 "21169" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
856 "21146" 1461 "21145" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
857 "21172" 1462 "21154" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
859 "21176" 1464 "21185" "M-166" "Kaunas-Kačerginė-Zapyškis-SB\"Baldininkas\"" 3 "14"
1465 "21151" 1466 "21153" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
862 "21181" 1467 "21178" "M-168" "Vosiškiai-Babtai" 3 "14"
459 "21138" 1468 "21140" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
473 "3645" 1554 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
1222 "21186" 1633 "21188" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
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" 490621 29882.7 878 490620 29882.7 877 0.12791084993239907
"2328" 406551 35929.8 642 406550 35929.8 641 0.11119510090982554
"3659" 485671 49657.5 1177 485670 49657.5 1176 0.12791084993239907
"42205" 3573518 57850.1 335 3573517 57850.1 334 0.06178544815632574
"2369" 400202 63265.5 1261 400201 63265.5 1260 0.11119510090982554
"2385" 596585 69168.3 1771 596584 69168.3 1770 0.06441976500794575
"28733" 2321319 71509.2 1569 2321318 71509.2 1568 0.06441976500794575
"1919" 739935 136875.8 2842 739934 136875.8 2841 0.12752942403551987
"1919" 739938 136876.0 2845 739937 136876.0 2844 0.11119510090982554
"1919" 739945 136876.5 2852 739944 136876.5 2851 0.11119510232447394
"1919" 739948 136876.7 2855 739947 136876.7 2854 0.11119510161714974
"1919" 739951 136876.9 2858 739950 136876.9 2857 0.12752941555597483
"1919" 739960 136877.5 2867 739959 136877.5 2866 0.11119510090982554
"1919" 739963 136877.7 2870 739962 136877.7 2869 0.11119510161714974
"1919" 739966 136877.9 2873 739965 136877.9 2872 0.11119510090982554
"1919" 739973 136878.4 2880 739972 136878.4 2879 0.11119510090982554
"1919" 739976 136878.6 2883 739975 136878.6 2882 0.11119510161714974
"1919" 739985 136879.2 2892 739984 136879.2 2891 0.11119510090982554
"1919" 739988 136879.4 2895 739987 136879.4 2894 0.12752939825777979
"1919" 739991 136879.6 2898 739990 136879.6 2897 0.11119510161714974
"1919" 740000 136880.2 2907 739999 136880.2 2906 0.11119510161714974
"1919" 740004 136880.5 2911 740003 136880.5 2910 0.06244513630731429
"1919" 740010 136880.9 2917 740009 136880.9 2916 0.11119510161714974
"1919" 740013 136881.1 2920 740012 136881.1 2919 0.11119510090982554
"1919" 740016 136881.3 2923 740015 136881.3 2922 0.11119510090982554
"1919" 740025 136881.9 2932 740024 136881.9 2931 0.12752938095958766
"1919" 740028 136882.1 2935 740027 136882.1 2934 0.11119510161714974
"1919" 740039 136882.8 2946 740038 136882.8 2945 0.11119510161714974
"1919" 740044 136883.1 2951 740043 136883.1 2950 0.11119510161714974
"1919" 740052 136883.6 2959 740051 136883.6 2958 0.11119510090982554
"1919" 740057 136883.9 2964 740056 136883.9 2963 0.11119510090982554
"1919" 740070 136884.7 2977 740069 136884.7 2976 0.11119510161714974
"1919" 740072 136884.8 2979 740071 136884.8 2978 0.11119510090982554
"1919" 740075 136885.0 2982 740074 136885.0 2981 0.11119510161714974
"1919" 740083 136885.5 2990 740082 136885.5 2989 0.1275293557985862
"1919" 740085 136885.6 2992 740084 136885.6 2991 0.11119510161714974
"1919" 740088 136885.8 2995 740087 136885.8 2994 0.11119510090982554
"1919" 740090 136885.9 2997 740089 136885.9 2996 0.11119510232447394
"1919" 740096 136886.3 3003 740095 136886.3 3002 0.06244505260741443
"1919" 740101 136886.6 3008 740100 136886.6 3007 0.11119510161714974
"1919" 740103 136886.7 3010 740102 136886.7 3009 0.11119510090982554
"1919" 740106 136886.9 3013 740105 136886.9 3012 0.11119510090982554
"1919" 740108 136887.0 3015 740107 136887.0 3014 0.11119510090982554
"1919" 740114 136887.4 3021 740113 136887.4 3020 0.11119510090982554
"1919" 740116 136887.5 3023 740115 136887.5 3022 0.11119510161714974
"1919" 740119 136887.7 3026 740118 136887.7 3025 0.11119510090982554
"1919" 740121 136887.8 3028 740120 136887.8 3027 0.11119510161714974
"1919" 740132 136888.5 3039 740131 136888.5 3038 0.11119510161714974
"1919" 740134 136888.6 3041 740133 136888.6 3040 0.11119510090982554
"1919" 740137 136888.8 3044 740136 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 20589

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 20589 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" 3257268 25.8 3 3257267 25.8 2
"55560" 3257309 2388.3 44 3257308 2388.3 43
"55560" 3257321 3182.6 56 3257320 3182.6 55
"55560" 3257325 3262.5 60 3257324 3262.5 59
"55560" 3257380 5428.3 115 3257379 5428.3 114
"55560" 3257389 5767.2 124 3257388 5767.2 123
"55560" 3257391 5959.5 126 3257390 5959.5 125
"55560" 3257394 6072.2 129 3257393 6072.2 128
"55560" 3257414 7328.9 149 3257413 7328.9 148
"55560" 3257449 9433.5 184 3257448 9433.5 183
"55560" 3257464 10146.9 199 3257463 10146.9 198
"55560" 3257485 11247.0 220 3257484 11247.0 219
"55560" 3257489 11334.1 224 3257488 11334.1 223
"55560" 3257539 14027.0 274 3257538 14027.0 273
"55560" 3257552 14822.5 287 3257551 14822.5 286
"55560" 3257577 16299.5 312 3257576 16299.5 311
"55560" 3257605 17487.3 340 3257604 17487.3 339
"55560" 3257643 19123.6 378 3257642 19123.6 377
"55560" 3257650 19373.1 385 3257649 19373.1 384
"55560" 3257677 20736.5 412 3257676 20736.5 411
"55560" 3257681 20821.5 416 3257680 20821.5 415
"55560" 3257713 21684.5 448 3257712 21684.5 447
"55560" 3257716 21734.4 451 3257715 21734.4 450
"55560" 3257723 22070.6 458 3257722 22070.6 457
"55560" 3257730 22632.4 465 3257729 22632.4 464
"55560" 3257737 23104.4 472 3257736 23104.4 471
"55560" 3257754 23985.8 489 3257753 23985.8 488
"55560" 3257760 24095.3 495 3257759 24095.3 494
"55560" 3257762 24162.1 497 3257761 24162.1 496
"55564" 3259770 387.4 21 3259769 387.4 20
"55564" 3259778 517.7 29 3259777 517.7 28
"55564" 3259802 1286.2 53 3259801 1286.2 52
"55564" 3259813 1651.0 64 3259812 1651.0 63
"55564" 3259816 1717.3 67 3259815 1717.3 66
"55564" 3259818 1746.4 69 3259817 1746.4 68
"55564" 3259820 1790.4 71 3259819 1790.4 70
"55564" 3259823 1896.5 74 3259822 1896.5 73
"55564" 3259826 1925.9 77 3259825 1925.9 76
"55564" 3259830 2045.2 81 3259829 2045.2 80
"55564" 3259835 2341.1 86 3259834 2341.1 85
"55564" 3259844 2582.6 95 3259843 2582.6 94
"55564" 3259848 2663.9 99 3259847 2663.9 98
"55564" 3259860 2771.7 111 3259859 2771.7 110
"55564" 3259875 2855.1 126 3259874 2855.1 125
"55564" 3259880 2992.2 131 3259879 2992.2 130
"55564" 3259888 3182.5 139 3259887 3182.5 138
"55564" 3259890 3254.5 141 3259889 3254.5 140
"55564" 3259896 3485.8 147 3259895 3485.8 146
"55564" 3259916 4000.4 167 3259915 4000.4 166
"55564" 3259936 4321.1 187 3259935 4321.1 186
expired_calendar WARNING 77

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 77 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3710 "73341"
3668 "1256"
3664 "1271"
14947 "1294"
25889 "24601"
2 "1339"
25881 "12709"
11196 "1379"
9 "1461"
25875 "1954"
22204 "20239"
25884 "20237"
3684 "44515"
3683 "44517"
25883 "17222"
18625 "17343"
40 "76307"
22232 "76308"
41 "76309"
25885 "13033"
3677 "13105"
18661 "76816"
12 "2009"
14 "2022"
14965 "2066"
11209 "2111"
18616 "2123"
14967 "2137"
15004 "62494"
7413 "2158"
7416 "2175"
7418 "2173"
22189 "2206"
7419 "2205"
14969 "2218"
18614 "2217"
22192 "2216"
18610 "2213"
25874 "2224"
11212 "2285"
14982 "13743"
7423 "2499"
7420 "2685"
14973 "2737"
18617 "2766"
18628 "47502"
14289 "96410"
22196 "2814"
14977 "2849"
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.
18572 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 157507 17 "99227" "Krekenava" "14:03:00" 157508 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.
12854 "2699" "7597198"
13002 "2699" "7597129"
13011 "2699" "7597153"
13065 "2699" "7597184"
13165 "2699" "7597173"
13476 "2699" "7597141"
13505 "2699" "7597182"
13899 "2699" "7597185"
13907 "2699" "7597205"
13918 "2699" "7597145"
14336 "2699" "7597161"
14355 "2699" "7597151"
14366 "2699" "7597197"
14420 "2699" "7597199"
14468 "2699" "7597126"
14503 "2699" "7597138"
14595 "2699" "7597159"
14645 "2699" "7597200"
14874 "2699" "7597158"
14945 "2699" "7597135"
14950 "2699" "7597165"
15012 "2699" "7597160"
15037 "2699" "7597162"
15276 "2699" "7597154"
15397 "2699" "7597180"
15561 "2699" "7597178"
15657 "2699" "7597192"
15809 "2699" "7597149"
15873 "2699" "7597167"
15877 "2699" "7597134"
15886 "2699" "7597206"
15892 "2699" "7597143"
15903 "2699" "7597190"
16030 "2699" "7597193"
16043 "2699" "7597204"
16096 "2699" "7597142"
16125 "2699" "7597207"
16169 "2699" "7597175"
16296 "2699" "7597021"
19111 "2699" "7597136"
19203 "2699" "7597125"
19248 "2699" "7597211"
19284 "2699" "7597208"
19331 "2699" "7597187"
19372 "2699" "7597210"
19380 "2699" "7597201"
19382 "2699" "7597172"
19428 "2699" "7597164"
19463 "2699" "7597156"
19488 "2699" "7597209"
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\"" 52
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 19
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 20
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 21
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 22
"routes.txt" "route_short_name" "3_VLP" 39
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 143
"routes.txt" "route_short_name" "5_VLP" 247
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 266
"routes.txt" "route_short_name" "40-DT" 317
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 349
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 360
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 438
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 439
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 440
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 441
"routes.txt" "route_short_name" "2_VLP" 455
"routes.txt" "route_short_name" "94AT" 587
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 651
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 652
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 697
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 700
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 701
"routes.txt" "route_short_name" "94-DC" 762
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 830
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 831
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 832
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 833
"routes.txt" "route_short_name" "4_VLP" 861
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 880
"routes.txt" "route_short_name" "70AC" 998
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1031
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1032
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1033
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1048
"routes.txt" "route_short_name" "1A_VLP" 1056
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1065
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1131
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1172
"routes.txt" "route_short_name" "2A_VLP" 1248
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1255
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1264
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1268
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1270
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1290
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1362
"routes.txt" "route_short_name" "50AB" 1403
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1442
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 1443
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1444
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.
19312 "3636" "45756" 2633 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
21653 "3651" "45771" 2662 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15113 "3653" "45773" 2663 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
21633 "43544" "8124133" 219385 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
19657 "43548" "8124139" 219423 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
12971 "26974" "7317017" 41175 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
12971 "26974" "7317017" 41176 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
12971 "26974" "7317017" 41191 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
19470 "18654" "3218451" 27629 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
14266 "32206" "7476583" 51977 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
14266 "32206" "7476583" 51978 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
14266 "32206" "7476583" 51979 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
14266 "32206" "7476583" 51982 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
14266 "32206" "7476583" 51987 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
13368 "3899" "46086" 2771 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13033 "3014" "43694" 1885 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
19697 "29420" "7429613" 47128 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15912 "4529" "46899" 3707 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
20222 "4527" "47691" 5221 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14271 "4528" "47692" 5222 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
19167 "14622" "7150732" 40025 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
16318 "2821" "45017" 2557 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13961 "29615" "7432118" 47536 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
19925 "29616" "7432119" 47584 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
270 "21886" "60_A4-01-6-241028-ba-0730" 423731 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
66 "21885" "60_A2-02-6-060404-ab-1740" 422928 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
26 "21887" "60_A2-01-7-060404-ab3-1100" 424507 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
37 "21891" "60_A2-01-7-060404-ab2-0730" 424359 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
18 "21865" "60_A2-01-7-060404-b3a-1150" 423355 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
41 "21872" "60_A2-02-6-060404-b2a-2020" 423621 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
21103 "3339" "46943" 3708 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15622 "4710" "47248" 4427 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
19422 "4711" "47251" 4452 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
14438 "11705" "747606" 18158 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13143 "6511" "54507" 10419 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19255 "6509" "54501" 10365 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
13653 "6513" "54509" 10443 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19204 "29093" "7413976" 44817 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
14788 "29092" "7413975" 44787 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
12871 "5232" "48167" 5640 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
14062 "44681" "8136898" 230477 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
15658 "3514" "45563" 2580 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15163 "3537" "45591" 2605 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16338 "17131" "2515701" 24968 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
16233 "3574" "45644" 2606 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15311 "3617" "45754" 2632 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15748 "15331" "2211798" 21998 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
13530 "15330" "2211797" 21997 "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.
20697 "3645" "57657" 14476 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14475 "12152" "Jonaičiai" [55.34641499999999,21.570023]
14955 "3667" "57730" 14615 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14614 "13926" "Jonaičiai" [55.346103,21.568929]
20435 "3714" "57736" 14689 "13926" "Jonaičiai" [55.346103,21.568929] 14688 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
14871 "13808" "1228372" 20694 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20693 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
20409 "26489" "7231018" 40618 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 40617 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
20553 "35668" "7652364" 61715 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 61714 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
15360 "28435" "7339430" 42517 "64819" "Suostas" [56.32837413018391,24.713657886432735] 42516 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
21981 "28434" "7339429" 42493 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 42492 "64820" "Suostas" [56.32837775901334,24.713656830174433]
20427 "6591" "57636" 14152 "13926" "Jonaičiai" [55.346103,21.568929] 14151 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
14003 "3554" "57639" 14192 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14191 "12152" "Jonaičiai" [55.34641499999999,21.570023]
13960 "29102" "7413991" 44911 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 44910 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
19359 "40377" "8016002" 97359 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 97358 "97223" "Tarvydai I" [55.328604,21.56423]
13374 "40378" "8016003" 97368 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 97367 "97223" "Tarvydai I" [55.328604,21.56423]
15431 "5353" "57618" 13964 "13926" "Jonaičiai" [55.346103,21.568929] 13963 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
12825 "54901" "8226897" 489702 "45588" "Balbieriškis" [54.524770000000004,23.885448] 489701 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
20797 "54903" "8241502" 643077 "45588" "Balbieriškis" [54.524770000000004,23.885448] 643076 "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