GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-01-16T06:08:03+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/google_transit.zip. No country code was provided.

Use this report alongside our documentation.

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

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

Summary

Agencies included


Feed Info


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

Files included


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

Counts


  • Agencies: 40
  • Blocks: 0
  • Routes: 1379
  • Shapes: 3638
  • Stops: 13477
  • Trips: 22545

Specification Compliance report

120746 notices reported (0 errors, 120713 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`.
63 "18747" 231 "18750" "M-167" "Kaunas-Raudondvaris-Padauguva-Vilkija" 3 "14"
233 "18744" 234 "18743" "M-120" "Karmėlava-Ramučiai" 3 "14"
232 "18329" 333 "6209" "M1" "Alytus - Geniai" 3 "48"
39 "18726" 378 "18728" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
37 "18736" 380 "18739" "M-156" "Kaunas - Neveronys" 3 "14"
61 "18772" 395 "18771" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
229 "18713" 396 "18711" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
230 "18779" 397 "18780" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
65 "18748" 398 "18745" "M-168" "Vosiškiai-Babtai" 3 "14"
382 "18767" 561 "18758" "M-166" "Kaunas-Kačerginė-Zapyškis-Šėtijų stotelė" 3 "14"
394 "18708" 576 "18705" "M-106" "Kaunas-Jonučiai-Garliava-Jurginiškiai" 3 "14"
55 "18734" 577 "18732" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
228 "18752" 578 "18754" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
58 "18781" 579 "18782" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
379 "18749" 580 "18746" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
60 "18731" 582 "18730" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
581 "18727" 725 "18729" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
377 "18783" 726 "18775" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Babtai" 3 "14"
56 "18785" 747 "18784" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
57 "18710" 748 "18709" "M-151" "Kaunas-Ramučiai" 3 "14"
59 "18733" 750 "18740" "M-168" "Kaunas-Giraitė-Užliedžiai-Babtai-Vosiškiai" 3 "14"
38 "18778" 880 "18776" "M-101" "Kauno pilis-Giraitė-Užliedžiai" 3 "14"
881 "18721" 883 "18720" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
902 "18759" 903 "18764" "M-101A" "Kauno pilis-Šilainiai-Giraitė-Užliedžiai" 3 "14"
749 "18735" 904 "18737" "M-146" "Kaunas-Žiegždriai" 3 "14"
399 "18724" 906 "18723" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
724 "16052" 941 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
882 "18756" 1040 "18757" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
1041 "18712" 1042 "18707" "M-149" "Kaunas-Vaišvydava-Gervėnupis" 3 "14"
1055 "18718" 1057 "18719" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
751 "18766" 1058 "18762" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
1039 "18725" 1059 "18722" "M-168" "Kaunas-Šilainiai-Giraitė-Užliedžiai" 3 "14"
64 "18717" 1060 "18715" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
879 "18774" 1227 "18777" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
40 "18714" 1228 "18716" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
41 "18741" 1229 "18738" "M-179" "Kaunas-Vaišvydava-Viršužiglis-Arlaviškės" 3 "14"
381 "18760" 1230 "18763" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
878 "18768" 1231 "18773" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
884 "18753" 1232 "18751" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
562 "18769" 1233 "18770" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
1056 "18765" 1253 "18742" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
905 "18761" 1254 "18755" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
62 "18704" 1255 "18706" "M-180" "Kaunas-Ringaudai-Tabariškiai-Girininkai" 3 "14"
409 "3645" 1278 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4149

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 4149 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" 512922 29882.7 878 512921 29882.7 877 0.12791084993239907
"2328" 418943 35929.8 642 418942 35929.8 641 0.11119510090982554
"3659" 507972 49657.5 1177 507971 49657.5 1176 0.12791084993239907
"42205" 3195141 57850.1 335 3195140 57850.1 334 0.06178544815632574
"2369" 404636 63265.5 1261 404635 63265.5 1260 0.11119510090982554
"2385" 617501 69168.3 1771 617500 69168.3 1770 0.06441976500794575
"28733" 2303516 71509.2 1569 2303515 71509.2 1568 0.06441976500794575
"1919" 783056 136875.8 2842 783055 136875.8 2841 0.12752942403551987
"1919" 783059 136876.0 2845 783058 136876.0 2844 0.11119510090982554
"1919" 783066 136876.5 2852 783065 136876.5 2851 0.11119510232447394
"1919" 783069 136876.7 2855 783068 136876.7 2854 0.11119510161714974
"1919" 783072 136876.9 2858 783071 136876.9 2857 0.12752941555597483
"1919" 783081 136877.5 2867 783080 136877.5 2866 0.11119510090982554
"1919" 783084 136877.7 2870 783083 136877.7 2869 0.11119510161714974
"1919" 783087 136877.9 2873 783086 136877.9 2872 0.11119510090982554
"1919" 783094 136878.4 2880 783093 136878.4 2879 0.11119510090982554
"1919" 783097 136878.6 2883 783096 136878.6 2882 0.11119510161714974
"1919" 783106 136879.2 2892 783105 136879.2 2891 0.11119510090982554
"1919" 783109 136879.4 2895 783108 136879.4 2894 0.12752939825777979
"1919" 783112 136879.6 2898 783111 136879.6 2897 0.11119510161714974
"1919" 783121 136880.2 2907 783120 136880.2 2906 0.11119510161714974
"1919" 783125 136880.5 2911 783124 136880.5 2910 0.06244513630731429
"1919" 783131 136880.9 2917 783130 136880.9 2916 0.11119510161714974
"1919" 783134 136881.1 2920 783133 136881.1 2919 0.11119510090982554
"1919" 783137 136881.3 2923 783136 136881.3 2922 0.11119510090982554
"1919" 783146 136881.9 2932 783145 136881.9 2931 0.12752938095958766
"1919" 783149 136882.1 2935 783148 136882.1 2934 0.11119510161714974
"1919" 783160 136882.8 2946 783159 136882.8 2945 0.11119510161714974
"1919" 783165 136883.1 2951 783164 136883.1 2950 0.11119510161714974
"1919" 783173 136883.6 2959 783172 136883.6 2958 0.11119510090982554
"1919" 783178 136883.9 2964 783177 136883.9 2963 0.11119510090982554
"1919" 783191 136884.7 2977 783190 136884.7 2976 0.11119510161714974
"1919" 783193 136884.8 2979 783192 136884.8 2978 0.11119510090982554
"1919" 783196 136885.0 2982 783195 136885.0 2981 0.11119510161714974
"1919" 783204 136885.5 2990 783203 136885.5 2989 0.1275293557985862
"1919" 783206 136885.6 2992 783205 136885.6 2991 0.11119510161714974
"1919" 783209 136885.8 2995 783208 136885.8 2994 0.11119510090982554
"1919" 783211 136885.9 2997 783210 136885.9 2996 0.11119510232447394
"1919" 783217 136886.3 3003 783216 136886.3 3002 0.06244505260741443
"1919" 783222 136886.6 3008 783221 136886.6 3007 0.11119510161714974
"1919" 783224 136886.7 3010 783223 136886.7 3009 0.11119510090982554
"1919" 783227 136886.9 3013 783226 136886.9 3012 0.11119510090982554
"1919" 783229 136887.0 3015 783228 136887.0 3014 0.11119510090982554
"1919" 783235 136887.4 3021 783234 136887.4 3020 0.11119510090982554
"1919" 783237 136887.5 3023 783236 136887.5 3022 0.11119510161714974
"1919" 783240 136887.7 3026 783239 136887.7 3025 0.11119510090982554
"1919" 783242 136887.8 3028 783241 136887.8 3027 0.11119510161714974
"1919" 783253 136888.5 3039 783252 136888.5 3038 0.11119510161714974
"1919" 783255 136888.6 3041 783254 136888.6 3040 0.11119510090982554
"1919" 783258 136888.8 3044 783257 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 15192

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 15192 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`.
"47933" 3000988 4675.3 38 3000987 4675.3 37
"47933" 3000990 5855.2 40 3000989 5855.2 39
"47933" 3000996 6814.0 46 3000995 6814.0 45
"47933" 3001000 8429.6 50 3000999 8429.6 49
"47933" 3001018 9917.0 68 3001017 9917.0 67
"47933" 3001036 11106.1 86 3001035 11106.1 85
"47933" 3001043 11716.2 93 3001042 11716.2 92
"47933" 3001049 12794.0 99 3001048 12794.0 98
"47933" 3001052 13380.6 102 3001051 13380.6 101
"47933" 3001054 13646.0 104 3001053 13646.0 103
"47933" 3001059 14462.9 109 3001058 14462.9 108
"47933" 3001068 15218.6 118 3001067 15218.6 117
"47933" 3001085 16593.9 135 3001084 16593.9 134
"47933" 3001094 17817.3 144 3001093 17817.3 143
"47933" 3001120 18755.4 170 3001119 18755.4 169
"47933" 3001139 19217.6 189 3001138 19217.6 188
"47933" 3001159 20840.3 209 3001158 20840.3 208
"47933" 3001173 22221.6 223 3001172 22221.6 222
"47934" 3001203 1807.0 30 3001202 1807.0 29
"47934" 3001233 3452.5 60 3001232 3452.5 59
"47934" 3001250 4217.0 77 3001249 4217.0 76
"47934" 3001265 5516.2 92 3001264 5516.2 91
"47934" 3001295 7228.2 122 3001294 7228.2 121
"47934" 3001305 7795.1 132 3001304 7795.1 131
"47934" 3001337 9412.6 164 3001336 9412.6 163
"47934" 3001342 10092.5 169 3001341 10092.5 168
"47934" 3001350 10723.8 177 3001349 10723.8 176
"47934" 3001356 11155.6 183 3001355 11155.6 182
"47934" 3001365 11778.2 192 3001364 11778.2 191
"47934" 3001378 12601.7 205 3001377 12601.7 204
"47934" 3001397 14623.9 224 3001396 14623.9 223
"47934" 3001425 16092.1 252 3001424 16092.1 251
"47934" 3001442 17022.4 269 3001441 17022.4 268
"47934" 3001463 19771.5 290 3001462 19771.5 289
"47934" 3001474 21225.1 301 3001473 21225.1 300
"47934" 3001484 22813.6 311 3001483 22813.6 310
"47934" 3001488 23506.3 315 3001487 23506.3 314
"47934" 3001495 24837.3 322 3001494 24837.3 321
"47934" 3001501 25504.4 328 3001500 25504.4 327
"47934" 3001506 26558.0 333 3001505 26558.0 332
"47934" 3001513 27713.2 340 3001512 27713.2 339
"47934" 3001527 28933.7 354 3001526 28933.7 353
"47934" 3001540 29688.6 367 3001539 29688.6 366
"47934" 3001552 31328.9 379 3001551 31328.9 378
"47934" 3001577 33319.9 404 3001576 33319.9 403
"47934" 3001586 35561.7 413 3001585 35561.7 412
"47934" 3001591 36509.6 418 3001590 36509.6 417
"47934" 3001611 39105.6 438 3001610 39105.6 437
"47934" 3001627 40369.4 454 3001626 40369.4 453
"47934" 3001631 41321.8 458 3001630 41321.8 457
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"
7882 "13743"
1994 "73341"
3896 "2499"
1941 "1256"
1937 "1271"
7847 "1294"
13702 "24602"
2 "1339"
3893 "2685"
13699 "12709"
5880 "1379"
7873 "2737"
9830 "2766"
1957 "60347"
8 "1461"
9843 "47502"
11766 "2814"
7877 "2849"
7878 "2852"
9832 "2850"
5895 "2980"
9831 "2975"
3894 "2974"
11765 "2972"
9856 "60928"
9852 "60959"
7891 "47985"
13693 "1954"
3921 "60890"
11774 "20239"
13703 "20237"
13701 "17222"
11772 "31530"
9838 "17343"
23 "43774"
13688 "678"
7846 "973"
60 "76307"
11820 "76308"
61 "76309"
13696 "3000"
3895 "3012"
13704 "13033"
1948 "13105"
9893 "76816"
11 "2009"
13 "2022"
9848 "48071"
25 "48073"
fast_travel_between_consecutive_stops WARNING 2

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.
20873 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 215133 17 "99227" "Krekenava" "14:03:00" 215134 18 "99243" "Rabikiai" "14:03:00"
22474 "65_APNV_416-45-3-250526-ab-1310" "17220" 196.9887428340989 3.283145713901648 196823 17 "98468" "Krekenava" "14:03:00" 196824 18 "98476" "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.
14094 "2699" "7597159"
14148 "2699" "7597158"
14222 "2699" "7597184"
14282 "2699" "7597162"
14402 "2699" "7597193"
14412 "2699" "7597175"
14584 "2699" "7597154"
14718 "2699" "7597129"
14761 "2699" "7597141"
14788 "2699" "7597182"
14865 "2699" "7597178"
14905 "2699" "7597153"
14942 "2699" "7597173"
15035 "2699" "7597126"
15066 "2699" "7597138"
15138 "2699" "7597149"
15469 "2699" "7597185"
15480 "2699" "7597205"
15490 "2699" "7597145"
15645 "2699" "7597161"
15700 "2699" "7597151"
15711 "2699" "7597197"
15752 "2699" "7597199"
15895 "2699" "7597200"
15952 "2699" "7597135"
15954 "2699" "7597165"
16063 "2699" "7597160"
16194 "2699" "7597180"
16315 "2699" "7597192"
16512 "2699" "7597167"
16515 "2699" "7597134"
16522 "2699" "7597206"
16527 "2699" "7597143"
16532 "2699" "7597190"
16607 "2699" "7597204"
16646 "2699" "7597142"
16665 "2699" "7597207"
16703 "2699" "7597021"
16777 "2699" "7597198"
17885 "2699" "7597156"
17909 "2699" "7597209"
17940 "2699" "7597189"
17955 "2699" "7597195"
18018 "2699" "7597130"
18035 "2699" "7597181"
18065 "2699" "7597171"
18111 "2699" "7597132"
18150 "2699" "7597150"
18226 "2699" "7597128"
18288 "2699" "7597196"
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 "41979" 1
3 "41979" 2
4 "41979" 3
5 "41979" 4
6 "41980" 1
7 "41980" 2
8 "41980" 3
9 "41980" 4
10 "41981" 1
11 "41981" 2
12 "41981" 3
13 "41981" 4
14 "41982" 1
15 "41982" 2
16 "41982" 3
17 "41982" 4
18 "42101" 1
19 "42101" 2
20 "42101" 4
21 "42101" 5
22 "42101" 6
23 "42103" 1
24 "42103" 2
25 "42103" 4
26 "42103" 5
27 "42103" 6
28 "42105" 1
29 "42105" 2
30 "42105" 4
31 "42105" 5
32 "42203" 1
33 "42203" 2
34 "42203" 3
35 "42203" 4
36 "42203" 5
37 "42203" 6
38 "42203" 7
39 "42203" 8
40 "42203" 9
41 "42203" 10
42 "42203" 11
43 "42203" 12
44 "42203" 13
45 "42203" 14
46 "42203" 15
47 "42203" 16
48 "42203" 17
49 "42203" 18
50 "42203" 19
51 "42206" 1
mixed_case_recommended_field WARNING 1066

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 1066 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\"" 40
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 33
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 34
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 35
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 42
"routes.txt" "route_short_name" "1A_VLP" 197
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 202
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 203
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 204
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 205
"routes.txt" "route_short_name" "518_VLP" 218
"routes.txt" "route_short_name" "523_VLP" 223
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 260
"routes.txt" "route_short_name" "40-DT" 316
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 325
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 373
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 374
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 375
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 376
"routes.txt" "route_short_name" "2_VLP" 390
"routes.txt" "route_short_name" "94AT" 495
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 553
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 555
"routes.txt" "route_long_name" "JONAVA-KULVA" 556
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 634
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 647
"routes.txt" "route_short_name" "94-DC" 679
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 719
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 720
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 721
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 722
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 787
"routes.txt" "route_short_name" "2A_VLP" 866
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 875
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 917
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 946
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1038
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 1044
"routes.txt" "route_short_name" "1_VLP" 1048
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1074
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1103
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1112
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1133
"routes.txt" "route_short_name" "50AB" 1190
"routes.txt" "route_short_name" "4_VLP" 1237
"routes.txt" "route_short_name" "5_VLP" 1238
"routes.txt" "route_short_name" "3_VLP" 1239
"routes.txt" "route_short_name" "787_VLP" 1249
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1279
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1299
stop_too_far_from_shape WARNING 62

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

Only the first 50 of 62 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
20367 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19861 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
14554 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
19846 "43544" "8124133" 343327 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
18057 "43548" "8124139" 343365 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
14633 "26974" "7317010" 36725 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
14633 "26974" "7317010" 36726 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
14633 "26974" "7317010" 36741 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
5026 "47096" "57_1230-20260103" 394606 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
19030 "29329" "7418310" 44294 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
14397 "29328" "7418309" 44271 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
19499 "6003" "52856" 6372 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
14762 "6005" "52858" 6381 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
16680 "6004" "52857" 6377 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
18222 "6007" "52859" 6388 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
14983 "6008" "52860" 6393 "8356" "Plinkšės" [56.146646000000004,22.177096] 708.0755710896237
14301 "16822" "2392138" 20632 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
14287 "16821" "2392137" 20622 "8988" "Miškų urėdija" [56.223549,23.648672] 192.32046673726916
14218 "16823" "2392142" 20707 "15916" "Miškų urėdija" [56.223436,23.64902] 114.43864929834778
17890 "18654" "3218451" 22875 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
14420 "32206" "7476586" 50271 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
14420 "32206" "7476586" 50272 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
14420 "32206" "7476586" 50273 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
14420 "32206" "7476586" 50276 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
14420 "32206" "7476586" 50281 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
15201 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14919 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
5358 "37872" "61_49W" 71462 "91654" "Kūlokai" [54.450829999999996,23.395002] 3378.2526672161835
18093 "29420" "7429613" 44831 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
16539 "4529" "46899" 4458 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18368 "4527" "47691" 5567 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
18817 "4528" "47692" 5568 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
17915 "14622" "7150733" 35814 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
16722 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15524 "29615" "7432118" 45341 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
20437 "29616" "7432119" 45389 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
5654 "21886" "60_A2-02-1-241209-ba-1520" 65638 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
6740 "21885" "60_A2-02-1-241209-ab-1210" 70825 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
12733 "21887" "60_A2-01-7-251110-ab3-1430" 344589 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
5864 "21891" "60_A2-02-1-241209-ab2-2020" 66670 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
12945 "21865" "60_A2-01-7-251110-b3a-1150" 346498 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
5884 "21872" "60_A2-02-1-241209-b2a-1940" 65245 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
19476 "3339" "46943" 4459 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15013 "11705" "747606" 15019 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14455 "6511" "54507" 8995 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
18095 "6509" "54502" 8956 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
15387 "6513" "54509" 9019 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
19636 "29093" "7413977" 42111 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
18655 "29092" "7413975" 42067 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
14174 "5232" "48167" 5831 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
stops_match_shape_out_of_order WARNING 12

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.
19130 "3645" "57657" 11220 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11219 "12152" "Jonaičiai" [55.34641499999999,21.570023]
15960 "3667" "57730" 11359 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11358 "13926" "Jonaičiai" [55.346103,21.568929]
18551 "3714" "57736" 11433 "13926" "Jonaičiai" [55.346103,21.568929] 11432 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
14146 "13808" "1228372" 16750 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 16749 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
16170 "28435" "7339430" 39589 "64819" "Suostas" [56.32837413018391,24.713657886432735] 39588 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
19783 "28434" "7339429" 39565 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 39564 "64820" "Suostas" [56.32837775901334,24.713656830174433]
18544 "6591" "57636" 10896 "13926" "Jonaičiai" [55.346103,21.568929] 10895 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
16030 "3554" "57643" 11024 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 11023 "12152" "Jonaičiai" [55.34641499999999,21.570023]
15523 "29102" "7413991" 42191 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 42190 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
19963 "40377" "8016002" 94199 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 94198 "97223" "Tarvydai I" [55.328604,21.56423]
15208 "40378" "8016003" 94208 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 94207 "97223" "Tarvydai I" [55.328604,21.56423]
16264 "5353" "57618" 10708 "13926" "Jonaičiai" [55.346103,21.568929] 10707 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
unknown_column INFO 33

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"attributions.txt" "id" 3
"fare_attributes.txt" "journey_duration" 8
"routes.txt" "eligibility_restricted" 11
"routes.txt" "bikes_allowed" 12
"routes.txt" "regional_fare_card" 14
"stops.txt" "stop_direction" 12
"stops.txt" "vehicle_type" 14
"stops.txt" "mta_stop_id" 17
"stops.txt" "regional_fare_card" 18
"stop_times.txt" "start_service_area_id" 1
"stop_times.txt" "end_service_area_id" 2
"stop_times.txt" "note_id" 5
"stop_times.txt" "to_stop_sequence" 16
"stop_times.txt" "route_short_name" 18
"stop_times.txt" "start_service_area_radius" 24
"stop_times.txt" "end_service_area_radius" 25
"stop_times.txt" "fare_period_id" 26
"stop_times.txt" "departure_buffer" 27
"stop_times.txt" "track" 28
"stop_times.txt" "mean_duration_factor" 29
"stop_times.txt" "mean_duration_offset" 30
"stop_times.txt" "safe_duration_factor" 31
"stop_times.txt" "safe_duration_offset" 32
"stop_times.txt" "free_running_flag" 33
"trips.txt" "note_id" 2
"trips.txt" "mean_duration_factor" 12
"trips.txt" "mean_duration_offset" 13
"trips.txt" "safe_duration_factor" 14
"trips.txt" "safe_duration_offset" 15
"trips.txt" "cars_allowed" 16
"trips.txt" "peak_offpeak" 17
"trips.txt" "mta_trip_id" 18
"trips.txt" "boarding_type" 19