GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-30T06:08:42+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: 1665
  • Shapes: 4335
  • Stops: 15813
  • Trips: 30196

Specification Compliance report

125057 notices reported (0 errors, 125024 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`.
218 "20858" 263 "20791" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
248 "18329" 374 "6209" "M1" "Alytus - Geniai" 3 "48"
20 "20843" 428 "20767" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
15 "20827" 429 "20773" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
203 "20778" 441 "20833" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
430 "20805" 442 "20828" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
438 "20840" 639 "20784" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
440 "20831" 640 "20795" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
204 "20770" 655 "20838" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
205 "20769" 656 "20832" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
654 "20854" 686 "20790" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
215 "20846" 687 "20787" "M-180" "Kaunas-Aleksotas-Tabariškiai-Girininkai" 3 "14"
651 "20824" 831 "20771" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
443 "20825" 832 "20801" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
266 "20797" 841 "20835" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
264 "20789" 842 "20852" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
14 "20839" 882 "20772" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
213 "20851" 1024 "20783" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
18 "20847" 1025 "20799" "M-166" "Kaunas-Kačerginė-Zapyškis-SB\"Baldininkas\"" 3 "14"
445 "20850" 1027 "20788" "M-168" "Vosiškiai-Babtai" 3 "14"
685 "20777" 1045 "20845" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
439 "20834" 1075 "20779" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
866 "16052" 1145 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
224 "20829" 1242 "20793" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
21 "20860" 1244 "20775" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
226 "20855" 1245 "20794" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
444 "20823" 1247 "20800" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
427 "20861" 1250 "20785" "M-120" "Karmėlava-Ramučiai" 3 "14"
1026 "20798" 1265 "20857" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
1246 "20774" 1266 "20841" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
265 "20803" 1267 "20848" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
1248 "20802" 1268 "20849" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
32 "20865" 1280 "20866" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
13 "20836" 1287 "20781" "M-156" "Kaunas - Neveronys" 3 "14"
1044 "20842" 1288 "20766" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
220 "20853" 1449 "20804" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
16 "20826" 1451 "20782" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
1450 "20780" 1458 "20856" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
1028 "20792" 1459 "20859" "M-151" "Kaunas-Ramučiai" 3 "14"
17 "20844" 1500 "20768" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
839 "20830" 1502 "20776" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
502 "3645" 1543 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
222 "20837" 1665 "20786" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
1042 "20862" 1666 "20796" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 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" 502869 29882.7 878 502868 29882.7 877 0.12791084993239907
"2328" 413781 35929.8 642 413780 35929.8 641 0.11119510090982554
"3659" 497919 49657.5 1177 497918 49657.5 1176 0.12791084993239907
"42205" 3653236 57850.1 335 3653235 57850.1 334 0.06178544815632574
"2369" 402585 63265.5 1261 402584 63265.5 1260 0.11119510090982554
"2385" 608833 69168.3 1771 608832 69168.3 1770 0.06441976500794575
"28733" 2343232 71509.2 1569 2343231 71509.2 1568 0.06441976500794575
"1919" 752183 136875.8 2842 752182 136875.8 2841 0.12752942403551987
"1919" 752186 136876.0 2845 752185 136876.0 2844 0.11119510090982554
"1919" 752193 136876.5 2852 752192 136876.5 2851 0.11119510232447394
"1919" 752196 136876.7 2855 752195 136876.7 2854 0.11119510161714974
"1919" 752199 136876.9 2858 752198 136876.9 2857 0.12752941555597483
"1919" 752208 136877.5 2867 752207 136877.5 2866 0.11119510090982554
"1919" 752211 136877.7 2870 752210 136877.7 2869 0.11119510161714974
"1919" 752214 136877.9 2873 752213 136877.9 2872 0.11119510090982554
"1919" 752221 136878.4 2880 752220 136878.4 2879 0.11119510090982554
"1919" 752224 136878.6 2883 752223 136878.6 2882 0.11119510161714974
"1919" 752233 136879.2 2892 752232 136879.2 2891 0.11119510090982554
"1919" 752236 136879.4 2895 752235 136879.4 2894 0.12752939825777979
"1919" 752239 136879.6 2898 752238 136879.6 2897 0.11119510161714974
"1919" 752248 136880.2 2907 752247 136880.2 2906 0.11119510161714974
"1919" 752252 136880.5 2911 752251 136880.5 2910 0.06244513630731429
"1919" 752258 136880.9 2917 752257 136880.9 2916 0.11119510161714974
"1919" 752261 136881.1 2920 752260 136881.1 2919 0.11119510090982554
"1919" 752264 136881.3 2923 752263 136881.3 2922 0.11119510090982554
"1919" 752273 136881.9 2932 752272 136881.9 2931 0.12752938095958766
"1919" 752276 136882.1 2935 752275 136882.1 2934 0.11119510161714974
"1919" 752287 136882.8 2946 752286 136882.8 2945 0.11119510161714974
"1919" 752292 136883.1 2951 752291 136883.1 2950 0.11119510161714974
"1919" 752300 136883.6 2959 752299 136883.6 2958 0.11119510090982554
"1919" 752305 136883.9 2964 752304 136883.9 2963 0.11119510090982554
"1919" 752318 136884.7 2977 752317 136884.7 2976 0.11119510161714974
"1919" 752320 136884.8 2979 752319 136884.8 2978 0.11119510090982554
"1919" 752323 136885.0 2982 752322 136885.0 2981 0.11119510161714974
"1919" 752331 136885.5 2990 752330 136885.5 2989 0.1275293557985862
"1919" 752333 136885.6 2992 752332 136885.6 2991 0.11119510161714974
"1919" 752336 136885.8 2995 752335 136885.8 2994 0.11119510090982554
"1919" 752338 136885.9 2997 752337 136885.9 2996 0.11119510232447394
"1919" 752344 136886.3 3003 752343 136886.3 3002 0.06244505260741443
"1919" 752349 136886.6 3008 752348 136886.6 3007 0.11119510161714974
"1919" 752351 136886.7 3010 752350 136886.7 3009 0.11119510090982554
"1919" 752354 136886.9 3013 752353 136886.9 3012 0.11119510090982554
"1919" 752356 136887.0 3015 752355 136887.0 3014 0.11119510090982554
"1919" 752362 136887.4 3021 752361 136887.4 3020 0.11119510090982554
"1919" 752364 136887.5 3023 752363 136887.5 3022 0.11119510161714974
"1919" 752367 136887.7 3026 752366 136887.7 3025 0.11119510090982554
"1919" 752369 136887.8 3028 752368 136887.8 3027 0.11119510161714974
"1919" 752380 136888.5 3039 752379 136888.5 3038 0.11119510161714974
"1919" 752382 136888.6 3041 752381 136888.6 3040 0.11119510090982554
"1919" 752385 136888.8 3044 752384 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 20441

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 20441 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"43541" 3233819 350.5 28 3233818 350.5 27
"43541" 3233830 811.7 39 3233829 811.7 38
"43541" 3233869 1779.8 78 3233868 1779.8 77
"43541" 3233913 3184.3 122 3233912 3184.3 121
"43541" 3233946 4418.1 155 3233945 4418.1 154
"43541" 3233962 4854.6 171 3233961 4854.6 170
"43541" 3234011 6561.9 220 3234010 6561.9 219
"43541" 3234047 7544.1 256 3234046 7544.1 255
"43541" 3234086 8757.6 295 3234085 8757.6 294
"43541" 3234103 9358.6 312 3234102 9358.6 311
"43541" 3234130 9709.1 339 3234129 9709.1 338
"43541" 3234176 10376.7 385 3234175 10376.7 384
"43541" 3234229 11116.1 438 3234228 11116.1 437
"43541" 3234260 11700.4 469 3234259 11700.4 468
"43541" 3234291 12284.8 500 3234290 12284.8 499
"43541" 3234552 14358.7 761 3234551 14358.7 760
"43541" 3234628 14706.8 837 3234627 14706.8 836
"43541" 3234728 15301.6 937 3234727 15301.6 936
"43541" 3234828 15896.4 1037 3234827 15896.4 1036
"43541" 3234904 16244.5 1113 3234903 16244.5 1112
"43541" 3235102 17133.2 1311 3235101 17133.2 1310
"43541" 3235345 18161.9 1554 3235344 18161.9 1553
"43541" 3235370 18472.3 1579 3235369 18472.3 1578
"43541" 3235420 18976.3 1629 3235419 18976.3 1628
"43541" 3235567 19673.4 1776 3235566 19673.4 1775
"43541" 3235796 21285.9 2005 3235795 21285.9 2004
"43541" 3235872 22756.6 2081 3235871 22756.6 2080
"43541" 3235948 24227.3 2157 3235947 24227.3 2156
"43541" 3235987 24719.6 2196 3235986 24719.6 2195
"43541" 3236004 25292.2 2213 3236003 25292.2 2212
"43541" 3236023 25625.9 2232 3236022 25625.9 2231
"43541" 3236111 26736.7 2320 3236110 26736.7 2319
"43541" 3236198 27236.5 2407 3236197 27236.5 2406
"43541" 3236247 28436.1 2456 3236246 28436.1 2455
"43541" 3236286 28928.5 2495 3236285 28928.5 2494
"43541" 3236337 29639.4 2546 3236336 29639.4 2545
"43541" 3236568 30811.2 2777 3236567 30811.2 2776
"43541" 3236644 31159.3 2853 3236643 31159.3 2852
"43541" 3236744 31754.1 2953 3236743 31754.1 2952
"43541" 3236844 32348.9 3053 3236843 32348.9 3052
"43541" 3236920 32697.0 3129 3236919 32697.0 3128
"43541" 3237118 33585.6 3327 3237117 33585.6 3326
"43541" 3237402 35228.5 3611 3237401 35228.5 3610
"43541" 3237455 35967.9 3664 3237454 35967.9 3663
"43541" 3237486 36552.2 3695 3237485 36552.2 3694
"43541" 3237517 37136.6 3726 3237516 37136.6 3725
"43531" 2210401 1036.1 44 2210400 1036.1 43
"43531" 2210430 1669.1 73 2210429 1669.1 72
"43531" 2210457 2285.2 100 2210456 2285.2 99
"43531" 2210498 4091.8 141 2210497 4091.8 140
expired_calendar WARNING 82

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 82 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3494 "73341"
3439 "1256"
3435 "1271"
14081 "1294"
24423 "24601"
2 "1339"
24415 "12709"
10536 "1379"
9 "1461"
24409 "1954"
7214 "58746"
20938 "20239"
24418 "20237"
3456 "44517"
24417 "17222"
17555 "17343"
45 "76307"
20971 "76308"
46 "76309"
24419 "13033"
3448 "13105"
17589 "76816"
12 "2009"
14 "2022"
14099 "2066"
10549 "2111"
17546 "2123"
14101 "2137"
14139 "62494"
6939 "2158"
6942 "2175"
6944 "2173"
20923 "2206"
6945 "2205"
14103 "2218"
17544 "2217"
20926 "2216"
17540 "2213"
24408 "2224"
10552 "2285"
14116 "13743"
6949 "2499"
7126 "47118"
6946 "2685"
14107 "2737"
17547 "2766"
17560 "47502"
20930 "2814"
3686 "59405"
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.
19900 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 160792 17 "99227" "Krekenava" "14:03:00" 160793 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.
13732 "2699" "7597199"
13769 "2699" "7597200"
13945 "2699" "7597159"
14008 "2699" "7597158"
14075 "2699" "7597135"
14080 "2699" "7597165"
14175 "2699" "7597174"
14185 "2699" "7597139"
14290 "2699" "7597162"
14375 "2699" "7597160"
14495 "2699" "7597169"
14607 "2699" "7597154"
14732 "2699" "7597180"
14956 "2699" "7597178"
15054 "2699" "7597192"
15079 "2699" "7597194"
15090 "2699" "7597131"
15108 "2699" "7597163"
15382 "2699" "7597167"
15386 "2699" "7597134"
15395 "2699" "7597206"
15401 "2699" "7597143"
15412 "2699" "7597190"
15513 "2699" "7597149"
15644 "2699" "7597204"
15697 "2699" "7597142"
15716 "2699" "7597183"
15767 "2699" "7597148"
15843 "2699" "7597193"
15853 "2699" "7597175"
15941 "2699" "7597207"
15981 "2699" "7597021"
16044 "2699" "7597212"
16222 "2699" "7597129"
16233 "2699" "7597153"
16311 "2699" "7597198"
16396 "2699" "7597173"
16497 "2699" "7597184"
16945 "2699" "7597141"
16975 "2699" "7597182"
17036 "2699" "7597185"
17045 "2699" "7597205"
17056 "2699" "7597145"
17178 "2699" "7597126"
17215 "2699" "7597138"
17492 "2699" "7597161"
17513 "2699" "7597151"
17524 "2699" "7597197"
20469 "2699" "7597128"
20492 "2699" "7597186"
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" "CENTRAS-RIMKAI" 38
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 39
"routes.txt" "route_short_name" "3_VLP" 40
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 41
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 42
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 43
"routes.txt" "route_long_name" "JONAVA-KULVA" 44
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 45
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 89
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 249
"routes.txt" "route_short_name" "5_VLP" 250
"routes.txt" "route_long_name" "JONAVA-RUKLA" 252
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 253
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 254
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 300
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 301
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 321
"routes.txt" "route_short_name" "40-DT" 394
"routes.txt" "route_short_name" "2_VLP" 468
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 469
"routes.txt" "route_short_name" "94AT" 579
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 676
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 677
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 678
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 679
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 709
"routes.txt" "route_short_name" "94-DC" 726
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 739
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 787
"routes.txt" "route_short_name" "4_VLP" 870
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 871
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 872
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 905
"routes.txt" "route_short_name" "70AC" 1014
"routes.txt" "route_short_name" "1A_VLP" 1067
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 1068
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1069
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1089
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1100
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1153
"routes.txt" "route_short_name" "2A_VLP" 1283
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1311
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1313
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1324
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1331
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1369
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1404
"routes.txt" "route_short_name" "50AB" 1438
"routes.txt" "route_short_name" "1_VLP" 1490
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.
21589 "3636" "45756" 2666 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15480 "3651" "45771" 2695 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14566 "3653" "45773" 2696 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15460 "43544" "8124133" 222670 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
21946 "43548" "8124139" 222708 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
14111 "26974" "7317016" 41234 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
14111 "26974" "7317016" 41235 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
14111 "26974" "7317016" 41250 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
21756 "18654" "3218451" 27673 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
13692 "32206" "7476583" 52136 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
13692 "32206" "7476583" 52137 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
13692 "32206" "7476583" 52138 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
13692 "32206" "7476583" 52141 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
13692 "32206" "7476583" 52146 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
16595 "3899" "46086" 2804 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16257 "3014" "43694" 1918 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
21988 "29420" "7429613" 47287 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15618 "4529" "46899" 3740 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22529 "4527" "47691" 5254 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13697 "4528" "47692" 5255 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21429 "14622" "7150732" 40101 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
16003 "2821" "45017" 2590 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17100 "29615" "7432118" 47695 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
22213 "29616" "7432119" 47743 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
4399 "21886" "60_A2-02-1-241209-ba-0720" 76516 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
4253 "21885" "60_A2-01-6-060404-ab-1100" 426561 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
11162 "21887" "60_A2-01-7-060404-ab3-1430" 428676 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
11159 "21891" "60_A2-01-6-060404-ab2-0740" 426782 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
4781 "21865" "60_A2-01-7-060404-b3a-0920" 426726 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
3010 "21872" "60_A2-01-6-060404-b2a-1520" 427017 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
15802 "3339" "46943" 3741 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15018 "4710" "47248" 4460 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
20788 "4711" "47250" 4473 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
17148 "11705" "747606" 18192 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14946 "6511" "54508" 10464 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
21532 "6509" "54501" 10398 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
16875 "6513" "54509" 10476 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
15157 "29093" "7413977" 44907 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
17661 "29092" "7413975" 44863 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
15325 "5232" "48166" 5665 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
14782 "44681" "8136902" 233906 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
15055 "3514" "45563" 2613 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14417 "3537" "45591" 2638 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16023 "17131" "2515701" 25012 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
15919 "3574" "45644" 2639 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14643 "3617" "45754" 2665 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
15250 "15331" "2211798" 22032 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
13862 "15330" "2211796" 22019 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
stops_match_shape_out_of_order WARNING 15

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.
14212 "3645" "57657" 14509 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14508 "12152" "Jonaičiai" [55.34641499999999,21.570023]
14085 "3667" "57730" 14648 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14647 "13926" "Jonaičiai" [55.346103,21.568929]
15766 "3714" "57735" 14706 "13926" "Jonaičiai" [55.346103,21.568929] 14705 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
14004 "13808" "1228372" 20728 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20727 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
20371 "26489" "7231018" 40694 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 40693 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
20523 "35668" "7652364" 63229 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 63228 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
14693 "28435" "7339430" 42593 "64819" "Suostas" [56.32837413018391,24.713657886432735] 42592 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
21306 "28434" "7339429" 42569 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 42568 "64820" "Suostas" [56.32837775901334,24.713656830174433]
15477 "6591" "57635" 14169 "13926" "Jonaičiai" [55.346103,21.568929] 14168 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
14106 "3554" "57643" 14313 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14312 "12152" "Jonaičiai" [55.34641499999999,21.570023]
17099 "29102" "7413991" 44987 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 44986 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
21628 "40377" "8016002" 100623 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 100622 "97223" "Tarvydai I" [55.328604,21.56423]
16601 "40378" "8016003" 100632 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 100631 "97223" "Tarvydai I" [55.328604,21.56423]
14980 "5353" "57618" 13997 "13926" "Jonaičiai" [55.346103,21.568929] 13996 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
16281 "54901" "8226897" 532734 "45588" "Balbieriškis" [54.524770000000004,23.885448] 532733 "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