GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-05-17T06:14:28+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: 4357
  • Stops: 15855
  • Trips: 30273

Specification Compliance report

125054 notices reported (0 errors, 125021 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 42

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`.
85 "21311" 287 "21299" "M-156" "Kaunas - Neveronys" 3 "14"
91 "21337" 296 "21342" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
89 "21317" 298 "21319" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
226 "18329" 364 "6209" "M1" "Alytus - Geniai" 3 "48"
88 "21335" 502 "21338" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
294 "21280" 503 "21279" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
92 "21283" 504 "21286" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
299 "21287" 505 "21282" "M-151" "Kaunas-Ramučiai" 3 "14"
86 "21275" 699 "21276" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
290 "21309" 704 "21307" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
500 "21310" 901 "21294" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
702 "21331" 904 "21330" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
836 "16052" 1048 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
898 "21304" 1098 "21303" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
1294 "21349" 1295 "21346" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
897 "21314" 1296 "21318" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
1097 "21300" 1297 "21302" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
1298 "21308" 1299 "21306" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
1301 "21343" 1302 "21339" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
288 "21321" 1303 "21320" "M-166" "Kaunas-Kačerginė-Zapyškis-SB\"Baldininkas\"" 3 "14"
293 "21345" 1306 "21344" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
902 "21278" 1307 "21277" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
703 "21313" 1308 "21312" "M-168" "Vosiškiai-Babtai" 3 "14"
1309 "21301" 1310 "21305" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
93 "21295" 1311 "21293" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
1304 "21290" 1312 "21291" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
451 "3645" 1504 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
84 "21272" 1542 "21274" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
1300 "21292" 1543 "21298" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
899 "21333" 1544 "21332" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
1102 "21316" 1546 "21315" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
701 "21325" 1547 "21326" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
501 "21327" 1548 "21329" "M-120" "Karmėlava-Ramučiai" 3 "14"
291 "21289" 1549 "21288" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
1293 "21297" 1550 "21296" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
903 "21340" 1551 "21341" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
1101 "21351" 1552 "21350" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
905 "21328" 1553 "21322" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
90 "21273" 1554 "21281" "M-180" "Kaunas-Aleksotas-Tabariškiai-Girininkai" 3 "14"
295 "21323" 1555 "21324" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
297 "21348" 1556 "21347" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
300 "21336" 1557 "21334" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 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" 489471 29882.7 878 489470 29882.7 877 0.12791084993239907
"2328" 405401 35929.8 642 405400 35929.8 641 0.11119510090982554
"3659" 484521 49657.5 1177 484520 49657.5 1176 0.12791084993239907
"42205" 3579508 57850.1 335 3579507 57850.1 334 0.06178544815632574
"2369" 399052 63265.5 1261 399051 63265.5 1260 0.11119510090982554
"2385" 595435 69168.3 1771 595434 69168.3 1770 0.06441976500794575
"28733" 2311683 71509.2 1569 2311682 71509.2 1568 0.06441976500794575
"1919" 731286 136875.8 2842 731285 136875.8 2841 0.12752942403551987
"1919" 731289 136876.0 2845 731288 136876.0 2844 0.11119510090982554
"1919" 731296 136876.5 2852 731295 136876.5 2851 0.11119510232447394
"1919" 731299 136876.7 2855 731298 136876.7 2854 0.11119510161714974
"1919" 731302 136876.9 2858 731301 136876.9 2857 0.12752941555597483
"1919" 731311 136877.5 2867 731310 136877.5 2866 0.11119510090982554
"1919" 731314 136877.7 2870 731313 136877.7 2869 0.11119510161714974
"1919" 731317 136877.9 2873 731316 136877.9 2872 0.11119510090982554
"1919" 731324 136878.4 2880 731323 136878.4 2879 0.11119510090982554
"1919" 731327 136878.6 2883 731326 136878.6 2882 0.11119510161714974
"1919" 731336 136879.2 2892 731335 136879.2 2891 0.11119510090982554
"1919" 731339 136879.4 2895 731338 136879.4 2894 0.12752939825777979
"1919" 731342 136879.6 2898 731341 136879.6 2897 0.11119510161714974
"1919" 731351 136880.2 2907 731350 136880.2 2906 0.11119510161714974
"1919" 731355 136880.5 2911 731354 136880.5 2910 0.06244513630731429
"1919" 731361 136880.9 2917 731360 136880.9 2916 0.11119510161714974
"1919" 731364 136881.1 2920 731363 136881.1 2919 0.11119510090982554
"1919" 731367 136881.3 2923 731366 136881.3 2922 0.11119510090982554
"1919" 731376 136881.9 2932 731375 136881.9 2931 0.12752938095958766
"1919" 731379 136882.1 2935 731378 136882.1 2934 0.11119510161714974
"1919" 731390 136882.8 2946 731389 136882.8 2945 0.11119510161714974
"1919" 731395 136883.1 2951 731394 136883.1 2950 0.11119510161714974
"1919" 731403 136883.6 2959 731402 136883.6 2958 0.11119510090982554
"1919" 731408 136883.9 2964 731407 136883.9 2963 0.11119510090982554
"1919" 731421 136884.7 2977 731420 136884.7 2976 0.11119510161714974
"1919" 731423 136884.8 2979 731422 136884.8 2978 0.11119510090982554
"1919" 731426 136885.0 2982 731425 136885.0 2981 0.11119510161714974
"1919" 731434 136885.5 2990 731433 136885.5 2989 0.1275293557985862
"1919" 731436 136885.6 2992 731435 136885.6 2991 0.11119510161714974
"1919" 731439 136885.8 2995 731438 136885.8 2994 0.11119510090982554
"1919" 731441 136885.9 2997 731440 136885.9 2996 0.11119510232447394
"1919" 731447 136886.3 3003 731446 136886.3 3002 0.06244505260741443
"1919" 731452 136886.6 3008 731451 136886.6 3007 0.11119510161714974
"1919" 731454 136886.7 3010 731453 136886.7 3009 0.11119510090982554
"1919" 731457 136886.9 3013 731456 136886.9 3012 0.11119510090982554
"1919" 731459 136887.0 3015 731458 136887.0 3014 0.11119510090982554
"1919" 731465 136887.4 3021 731464 136887.4 3020 0.11119510090982554
"1919" 731467 136887.5 3023 731466 136887.5 3022 0.11119510161714974
"1919" 731470 136887.7 3026 731469 136887.7 3025 0.11119510090982554
"1919" 731472 136887.8 3028 731471 136887.8 3027 0.11119510161714974
"1919" 731483 136888.5 3039 731482 136888.5 3038 0.11119510161714974
"1919" 731485 136888.6 3041 731484 136888.6 3040 0.11119510090982554
"1919" 731488 136888.8 3044 731487 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 20454

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 20454 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" 3310629 25.8 3 3310628 25.8 2
"55560" 3310670 2388.3 44 3310669 2388.3 43
"55560" 3310682 3182.6 56 3310681 3182.6 55
"55560" 3310686 3262.5 60 3310685 3262.5 59
"55560" 3310741 5428.3 115 3310740 5428.3 114
"55560" 3310750 5767.2 124 3310749 5767.2 123
"55560" 3310752 5959.5 126 3310751 5959.5 125
"55560" 3310755 6072.2 129 3310754 6072.2 128
"55560" 3310775 7328.9 149 3310774 7328.9 148
"55560" 3310810 9433.5 184 3310809 9433.5 183
"55560" 3310825 10146.9 199 3310824 10146.9 198
"55560" 3310846 11247.0 220 3310845 11247.0 219
"55560" 3310850 11334.1 224 3310849 11334.1 223
"55560" 3310900 14027.0 274 3310899 14027.0 273
"55560" 3310913 14822.5 287 3310912 14822.5 286
"55560" 3310938 16299.5 312 3310937 16299.5 311
"55560" 3310966 17487.3 340 3310965 17487.3 339
"55560" 3311004 19123.6 378 3311003 19123.6 377
"55560" 3311011 19373.1 385 3311010 19373.1 384
"55560" 3311038 20736.5 412 3311037 20736.5 411
"55560" 3311042 20821.5 416 3311041 20821.5 415
"55560" 3311074 21684.5 448 3311073 21684.5 447
"55560" 3311077 21734.4 451 3311076 21734.4 450
"55560" 3311084 22070.6 458 3311083 22070.6 457
"55560" 3311091 22632.4 465 3311090 22632.4 464
"55560" 3311098 23104.4 472 3311097 23104.4 471
"55560" 3311115 23985.8 489 3311114 23985.8 488
"55560" 3311121 24095.3 495 3311120 24095.3 494
"55560" 3311123 24162.1 497 3311122 24162.1 496
"55564" 3313131 387.4 21 3313130 387.4 20
"55564" 3313139 517.7 29 3313138 517.7 28
"55564" 3313163 1286.2 53 3313162 1286.2 52
"55564" 3313174 1651.0 64 3313173 1651.0 63
"55564" 3313177 1717.3 67 3313176 1717.3 66
"55564" 3313179 1746.4 69 3313178 1746.4 68
"55564" 3313181 1790.4 71 3313180 1790.4 70
"55564" 3313184 1896.5 74 3313183 1896.5 73
"55564" 3313187 1925.9 77 3313186 1925.9 76
"55564" 3313191 2045.2 81 3313190 2045.2 80
"55564" 3313196 2341.1 86 3313195 2341.1 85
"55564" 3313205 2582.6 95 3313204 2582.6 94
"55564" 3313209 2663.9 99 3313208 2663.9 98
"55564" 3313221 2771.7 111 3313220 2771.7 110
"55564" 3313236 2855.1 126 3313235 2855.1 125
"55564" 3313241 2992.2 131 3313240 2992.2 130
"55564" 3313249 3182.5 139 3313248 3182.5 138
"55564" 3313251 3254.5 141 3313250 3254.5 140
"55564" 3313257 3485.8 147 3313256 3485.8 146
"55564" 3313277 4000.4 167 3313276 4000.4 166
"55564" 3313297 4321.1 187 3313296 4321.1 186
expired_calendar WARNING 67

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

Only the first 50 of 67 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3750 "73341"
3702 "1256"
3698 "1271"
15100 "1294"
26137 "24601"
2 "1339"
26129 "12709"
11325 "1379"
9 "1461"
26123 "1954"
26372 "56106"
22432 "20239"
26132 "20237"
3721 "44515"
3720 "44517"
26131 "17222"
18808 "17343"
43 "76307"
22463 "76308"
44 "76309"
26133 "13033"
3711 "13105"
18845 "76816"
12 "2009"
14 "2022"
15118 "2066"
11338 "2111"
18799 "2123"
15120 "2137"
15158 "62494"
7477 "2158"
7480 "2175"
7482 "2173"
22417 "2206"
7483 "2205"
15122 "2218"
18797 "2217"
22420 "2216"
18793 "2213"
26122 "2224"
11341 "2285"
15135 "13743"
7487 "2499"
7484 "2685"
15126 "2737"
18800 "2766"
18812 "47502"
22424 "2814"
15130 "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.
3222 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 160576 17 "99227" "Krekenava" "14:03:00" 160577 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.
3003 "2699" "7597159"
3066 "2699" "7597158"
3143 "2699" "7597154"
3346 "2699" "7597178"
3487 "2699" "7597162"
24662 "2699" "7597130"
24685 "2699" "7597181"
24719 "2699" "7597150"
24747 "2699" "7597021"
25130 "2699" "7597128"
25151 "2699" "7597198"
25228 "2699" "7597184"
25335 "2699" "7597136"
25457 "2699" "7597186"
25601 "2699" "7597211"
25639 "2699" "7597208"
25694 "2699" "7597155"
25742 "2699" "7597146"
25858 "2699" "7597141"
25896 "2699" "7597187"
25936 "2699" "7597156"
25963 "2699" "7597209"
26091 "2699" "7597182"
26209 "2699" "7597189"
26227 "2699" "7597195"
26254 "2699" "7597171"
26399 "2699" "7597126"
26437 "2699" "7597138"
26523 "2699" "7597132"
26859 "2699" "7597196"
26882 "2699" "7597144"
26923 "2699" "7597188"
26926 "2699" "7597203"
26935 "2699" "7597157"
27282 "2699" "7597127"
27334 "2699" "7597161"
27353 "2699" "7597151"
27364 "2699" "7597197"
27421 "2699" "7597199"
27535 "2699" "7597149"
27667 "2699" "7597166"
27726 "2699" "7597177"
27765 "2699" "7597200"
27909 "2699" "7597174"
27919 "2699" "7597139"
27961 "2699" "7597193"
27971 "2699" "7597175"
28099 "2699" "7597202"
28156 "2699" "7597135"
28161 "2699" "7597165"
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" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 30
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 75
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 77
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 78
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 82
"routes.txt" "route_short_name" "3_VLP" 87
"routes.txt" "route_short_name" "5_VLP" 292
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 321
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 399
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 404
"routes.txt" "route_short_name" "40-DT" 419
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 492
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 493
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 495
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 496
"routes.txt" "route_short_name" "2_VLP" 499
"routes.txt" "route_short_name" "94AT" 626
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 671
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 693
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 695
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 711
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 745
"routes.txt" "route_short_name" "94-DC" 806
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 890
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 891
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 892
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 894
"routes.txt" "route_short_name" "4_VLP" 900
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 941
"routes.txt" "route_short_name" "70AC" 944
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1059
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1091
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1092
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1093
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1095
"routes.txt" "route_short_name" "1A_VLP" 1103
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1124
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1197
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1264
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1274
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1275
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1281
"routes.txt" "route_short_name" "2A_VLP" 1305
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1331
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1339
"routes.txt" "route_short_name" "50AB" 1415
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1507
"routes.txt" "route_long_name" "telšiai janapolė - telšiai" 1516
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1531
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.
25668 "3636" "45756" 2602 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
29958 "3651" "45771" 2631 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
3103 "3653" "45773" 2632 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
29938 "43544" "8124133" 222454 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
26246 "43548" "8124139" 222492 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
24668 "26974" "7317014" 41103 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
24668 "26974" "7317014" 41104 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
24668 "26974" "7317014" 41119 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
25944 "18654" "3218451" 27608 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
25671 "32206" "7476585" 52004 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
25671 "32206" "7476585" 52005 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
25671 "32206" "7476585" 52006 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
25671 "32206" "7476585" 52009 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
25671 "32206" "7476585" 52014 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
29173 "3899" "46086" 2740 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28438 "3014" "43694" 1854 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
26287 "29420" "7429613" 47107 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
29842 "4529" "46899" 3676 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
24969 "4527" "47691" 5190 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
27455 "4528" "47692" 5191 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
25970 "14622" "7150733" 40019 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
24769 "2821" "45017" 2526 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
30044 "29615" "7432118" 47515 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
29759 "29616" "7432119" 47563 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
1659 "21886" "60_A4-01-6-241028-ba-0730" 413500 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
1624 "21885" "60_A30-01-7-241028-ab-1650" 414220 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1674 "21887" "60_A2-01-7-060404-ab3-1430" 414710 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
1671 "21891" "60_A2-01-6-060404-ab2-0740" 412816 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
2171 "21865" "60_A2-01-7-060404-b3a-1150" 413124 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
1621 "21872" "60_A4-01-6-241028-b2a-2220" 414942 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
29078 "3339" "46943" 3677 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26291 "4710" "47249" 4408 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
26365 "4711" "47250" 4409 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
26163 "11705" "747606" 18127 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3336 "6511" "54508" 10400 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
25610 "6509" "54501" 10334 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
29615 "6513" "54509" 10412 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
28483 "29093" "7413976" 44796 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
27049 "29092" "7413975" 44766 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
25168 "5232" "48167" 5609 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
24788 "44681" "8136900" 233570 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
29402 "3514" "45563" 2549 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28570 "3537" "45591" 2574 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
24789 "17131" "2515701" 24947 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
28039 "3574" "45644" 2575 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3179 "3617" "45754" 2601 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
25924 "15331" "2211799" 21979 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
26116 "15330" "2211797" 21966 "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.
28253 "3645" "57657" 14445 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14444 "12152" "Jonaičiai" [55.34641499999999,21.570023]
28166 "3667" "57730" 14584 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14583 "13926" "Jonaičiai" [55.346103,21.568929]
25400 "3714" "57736" 14658 "13926" "Jonaičiai" [55.346103,21.568929] 14657 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
3062 "13808" "1228372" 20663 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20662 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
25372 "26489" "7231018" 40597 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 40596 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
25686 "35668" "7652364" 63049 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 63048 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
28952 "28435" "7339430" 42496 "64819" "Suostas" [56.32837413018391,24.713657886432735] 42495 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
28122 "28434" "7339429" 42472 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 42471 "64820" "Suostas" [56.32837775901334,24.713656830174433]
25391 "6591" "57636" 14121 "13926" "Jonaičiai" [55.346103,21.568929] 14120 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
26464 "3554" "57639" 14161 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14160 "12152" "Jonaičiai" [55.34641499999999,21.570023]
30043 "29102" "7413991" 44890 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 44889 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
28855 "40377" "8016002" 100407 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 100406 "97223" "Tarvydai I" [55.328604,21.56423]
29179 "40378" "8016003" 100416 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 100415 "97223" "Tarvydai I" [55.328604,21.56423]
26241 "5353" "57622" 13950 "13926" "Jonaičiai" [55.346103,21.568929] 13949 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
24811 "54901" "8226897" 479471 "45588" "Balbieriškis" [54.524770000000004,23.885448] 479470 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
26044 "54903" "8241502" 580710 "45588" "Balbieriškis" [54.524770000000004,23.885448] 580709 "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