GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-05-25T07:44:24+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: 1676
  • Shapes: 4551
  • Stops: 15906
  • Trips: 30573

Specification Compliance report

125973 notices reported (0 errors, 125940 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`.
50 "21317" 215 "21453" "M-181" "Kaunas-Noreikiškės-Ringaudai-Tabariškiai-Gelžkeliuko g." 3 "14"
3 "21446" 253 "21345" "M-101" "Kauno pilis-Giraitė-Ryto g.(Užliedžiai)" 3 "14"
234 "21437" 261 "21336" "M-151(A)" "Kaunas-Urban HUB-LEZ-Kaunas" 3 "14"
254 "21342" 432 "21440" "M-103" "Kauno pilis-SB\"Lokomotyvas\"-Sitkūnai-Babtai" 3 "14"
255 "21299" 442 "21449" "M-156" "Kaunas - Neveronys" 3 "14"
257 "21309" 452 "21445" "M-120" "Kaunas-Karmėlavos kapinės" 3 "14"
230 "21463" 473 "21286" "M-154" "Čekiškė - Daugėliškiai - Vilkija - Kaunas" 3 "14"
470 "21310" 650 "21435" "M-157" "Kaunas-Kačerginė-Zapyškis-Ežerėlis" 3 "14"
228 "21542" 663 "21541" "M-152" "Kauno g.-Poliklinika-Birštono seniūnija" 3 "58"
5 "21447" 680 "21276" "M-163" "Kaunas-Babtai-Labūnava" 3 "14"
45 "21335" 833 "21442" "M-197" "Kaunas-Babtai-Panevėžiukas (SB\"Vija\")" 3 "14"
49 "21273" 834 "21458" "M-180" "Kaunas-Aleksotas-Tabariškiai-Girininkai" 3 "14"
859 "21464" 884 "21328" "M-199" "Kaunas-Voškoniai-Vandžiogala-Labūnava" 3 "14"
6 "21438" 886 "21340" "M-159" "Kaunas-Mastaičiai-Pažėrai-SB\"Aronija\"-Smėlio g." 3 "14"
855 "21467" 889 "21333" "M-135" "Kaunas - Rokai - Girininkai" 3 "14"
885 "21304" 1049 "21452" "M-179" "Kaunas-Rokeliai-Viršužiglis-Arlaviškės" 3 "14"
258 "21321" 1050 "21472" "M-166" "Kaunas-Kačerginė-Zapyškis-SB\"Baldininkas\"" 3 "14"
888 "21330" 1051 "21441" "M-161" "Kaunas-Raudondvaris-Netoniai- Kulautuva" 3 "14"
20 "21461" 1074 "21284" "M-106" "Kaunas-Jonučiai-Jurginiškiai-Skriaudžiai" 3 "14"
1052 "21459" 1075 "21300" "M-167" "Kaunas-Raudondvaris-SB\"Vejuona\"-Padauguva-Vilkija" 3 "14"
431 "21434" 1076 "21351" "M-150" "Kaunas-Ramučiai-Karmėlava-Salupiai-SB\"Inkaras\"" 3 "14"
1062 "16052" 1113 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
48 "21295" 1255 "21471" "M-153" "Kaunas-Vilkija-Liučiūnai-Čekiškė" 3 "14"
260 "21287" 1256 "21465" "M-151" "Kaunas-Ramučiai" 3 "14"
46 "21272" 1259 "21454" "M-189" "Kaunas - Drąseikiai - Batėgala" 3 "14"
474 "21279" 1260 "21462" "M-194" "Kauno pilis-Garliava-Linksmakalnis" 3 "14"
382 "6209" 1274 "18329" "M1" "Alytus - Geniai" 3 "48"
665 "21460" 1276 "21277" "M-149" "Kaunas-Rokeliai-Gervėnupis" 3 "14"
1249 "21439" 1277 "21292" "M-148" "Kaunas-Domeikava-SB\"Didžiosios Lapės\"" 3 "14"
1257 "21444" 1278 "21308" "M-168" "Kaunas-Linkuvos g.-Užliedžiai-Babtai-Vosiškiai" 3 "14"
1033 "21443" 1280 "21339" "M-166" "Kaunas-Raudondvario pl.-Ringaudai-Tabariškiai" 3 "14"
1059 "21436" 1281 "21290" "M-146" "Kaunas-Rokeliai-Žiegždriai" 3 "14"
26 "21455" 1283 "21312" "M-168" "Vosiškiai-Babtai" 3 "14"
862 "21448" 1284 "21301" "M-180A" "Kaunas-Akademija-Bajorai-Girininkų miškas" 3 "14"
1282 "21346" 1456 "21450" "M-140" "Kauno pilis-Garliava-Mastaičiai-Kampiškiai" 3 "14"
890 "21314" 1458 "21456" "M-172" "Kaunas-Margininkai-Piliuona-Pakuonis" 3 "14"
262 "21348" 1466 "21451" "M-104" "Kaunas-Ražiškiai-Karkazai-Kreidos g.-Seniava" 3 "14"
4 "21468" 1497 "21326" "M-165" "Kaunas-Kačerginė-Zapyškis-Lekėčiai" 3 "14"
652 "21466" 1498 "21296" "M-198" "Kaunas - Vandžiogala - Boniškiai" 3 "14"
835 "21473" 1500 "21324" "M-101A" "Kauno pilis-Šilainiai-Ledos g.(Užliedžiai)" 3 "14"
443 "21469" 1502 "21288" "M-170" "Kaunas-Vilkija-Purviškiai-Čekiškė" 3 "14"
1061 "21457" 1503 "21315" "M-108" "Kaunas-Ireniškiai-Seniava" 3 "14"
861 "21470" 1504 "21329" "M-120" "Karmėlava-Ramučiai" 3 "14"
477 "3645" 1586 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 3905

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 3905 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" 492141 29882.7 878 492140 29882.7 877 0.12791084993239907
"2328" 408071 35929.8 642 408070 35929.8 641 0.11119510090982554
"3659" 487191 49657.5 1177 487190 49657.5 1176 0.12791084993239907
"42205" 3652208 57850.1 335 3652207 57850.1 334 0.06178544815632574
"2369" 401722 63265.5 1261 401721 63265.5 1260 0.11119510090982554
"2385" 598105 69168.3 1771 598104 69168.3 1770 0.06441976500794575
"28733" 2320791 71509.2 1569 2320790 71509.2 1568 0.06441976500794575
"1919" 733956 136875.8 2842 733955 136875.8 2841 0.12752942403551987
"1919" 733959 136876.0 2845 733958 136876.0 2844 0.11119510090982554
"1919" 733966 136876.5 2852 733965 136876.5 2851 0.11119510232447394
"1919" 733969 136876.7 2855 733968 136876.7 2854 0.11119510161714974
"1919" 733972 136876.9 2858 733971 136876.9 2857 0.12752941555597483
"1919" 733981 136877.5 2867 733980 136877.5 2866 0.11119510090982554
"1919" 733984 136877.7 2870 733983 136877.7 2869 0.11119510161714974
"1919" 733987 136877.9 2873 733986 136877.9 2872 0.11119510090982554
"1919" 733994 136878.4 2880 733993 136878.4 2879 0.11119510090982554
"1919" 733997 136878.6 2883 733996 136878.6 2882 0.11119510161714974
"1919" 734006 136879.2 2892 734005 136879.2 2891 0.11119510090982554
"1919" 734009 136879.4 2895 734008 136879.4 2894 0.12752939825777979
"1919" 734012 136879.6 2898 734011 136879.6 2897 0.11119510161714974
"1919" 734021 136880.2 2907 734020 136880.2 2906 0.11119510161714974
"1919" 734025 136880.5 2911 734024 136880.5 2910 0.06244513630731429
"1919" 734031 136880.9 2917 734030 136880.9 2916 0.11119510161714974
"1919" 734034 136881.1 2920 734033 136881.1 2919 0.11119510090982554
"1919" 734037 136881.3 2923 734036 136881.3 2922 0.11119510090982554
"1919" 734046 136881.9 2932 734045 136881.9 2931 0.12752938095958766
"1919" 734049 136882.1 2935 734048 136882.1 2934 0.11119510161714974
"1919" 734060 136882.8 2946 734059 136882.8 2945 0.11119510161714974
"1919" 734065 136883.1 2951 734064 136883.1 2950 0.11119510161714974
"1919" 734073 136883.6 2959 734072 136883.6 2958 0.11119510090982554
"1919" 734078 136883.9 2964 734077 136883.9 2963 0.11119510090982554
"1919" 734091 136884.7 2977 734090 136884.7 2976 0.11119510161714974
"1919" 734093 136884.8 2979 734092 136884.8 2978 0.11119510090982554
"1919" 734096 136885.0 2982 734095 136885.0 2981 0.11119510161714974
"1919" 734104 136885.5 2990 734103 136885.5 2989 0.1275293557985862
"1919" 734106 136885.6 2992 734105 136885.6 2991 0.11119510161714974
"1919" 734109 136885.8 2995 734108 136885.8 2994 0.11119510090982554
"1919" 734111 136885.9 2997 734110 136885.9 2996 0.11119510232447394
"1919" 734117 136886.3 3003 734116 136886.3 3002 0.06244505260741443
"1919" 734122 136886.6 3008 734121 136886.6 3007 0.11119510161714974
"1919" 734124 136886.7 3010 734123 136886.7 3009 0.11119510090982554
"1919" 734127 136886.9 3013 734126 136886.9 3012 0.11119510090982554
"1919" 734129 136887.0 3015 734128 136887.0 3014 0.11119510090982554
"1919" 734135 136887.4 3021 734134 136887.4 3020 0.11119510090982554
"1919" 734137 136887.5 3023 734136 136887.5 3022 0.11119510161714974
"1919" 734140 136887.7 3026 734139 136887.7 3025 0.11119510090982554
"1919" 734142 136887.8 3028 734141 136887.8 3027 0.11119510161714974
"1919" 734153 136888.5 3039 734152 136888.5 3038 0.11119510161714974
"1919" 734155 136888.6 3041 734154 136888.6 3040 0.11119510090982554
"1919" 734158 136888.8 3044 734157 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 20963

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 20963 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`.
"56890" 3505951 568.4 11 3505950 568.4 10
"56890" 3505968 1332.9 28 3505967 1332.9 27
"56890" 3505983 2632.1 43 3505982 2632.1 42
"56890" 3506013 4344.1 73 3506012 4344.1 72
"56890" 3506023 4911.0 83 3506022 4911.0 82
"56890" 3506053 6436.5 113 3506052 6436.5 112
"56890" 3506062 7866.2 122 3506061 7866.2 121
"56890" 3506095 12954.8 155 3506094 12954.8 154
"56890" 3506101 13935.0 161 3506100 13935.0 160
"56890" 3506107 15179.7 167 3506106 15179.7 166
"56890" 3506143 17711.1 203 3506142 17711.1 202
"56890" 3506153 19294.5 213 3506152 19294.5 212
"56890" 3506161 20263.6 221 3506160 20263.6 220
"56890" 3506163 20497.9 223 3506162 20497.9 222
"56891" 3506174 568.4 11 3506173 568.4 10
"56891" 3506191 1332.9 28 3506190 1332.9 27
"56891" 3506206 2632.1 43 3506205 2632.1 42
"56891" 3506236 4344.1 73 3506235 4344.1 72
"56891" 3506246 4911.0 83 3506245 4911.0 82
"56891" 3506276 6436.5 113 3506275 6436.5 112
"56891" 3506285 7866.2 122 3506284 7866.2 121
"56891" 3506323 14319.8 160 3506322 14319.8 159
"56891" 3506333 14744.6 170 3506332 14744.6 169
"56891" 3506355 15719.1 192 3506354 15719.1 191
"56891" 3506366 15951.6 203 3506365 15951.6 202
"56891" 3506373 16300.0 210 3506372 16300.0 209
"55560" 3314283 25.8 3 3314282 25.8 2
"55560" 3314324 2388.3 44 3314323 2388.3 43
"55560" 3314336 3182.6 56 3314335 3182.6 55
"55560" 3314340 3262.5 60 3314339 3262.5 59
"55560" 3314395 5428.3 115 3314394 5428.3 114
"55560" 3314404 5767.2 124 3314403 5767.2 123
"55560" 3314406 5959.5 126 3314405 5959.5 125
"55560" 3314409 6072.2 129 3314408 6072.2 128
"55560" 3314429 7328.9 149 3314428 7328.9 148
"55560" 3314464 9433.5 184 3314463 9433.5 183
"55560" 3314479 10146.9 199 3314478 10146.9 198
"55560" 3314500 11247.0 220 3314499 11247.0 219
"55560" 3314504 11334.1 224 3314503 11334.1 223
"55560" 3314554 14027.0 274 3314553 14027.0 273
"55560" 3314567 14822.5 287 3314566 14822.5 286
"55560" 3314592 16299.5 312 3314591 16299.5 311
"55560" 3314620 17487.3 340 3314619 17487.3 339
"55560" 3314658 19123.6 378 3314657 19123.6 377
"55560" 3314665 19373.1 385 3314664 19373.1 384
"55560" 3314692 20736.5 412 3314691 20736.5 411
"55560" 3314696 20821.5 416 3314695 20821.5 415
"55560" 3314728 21684.5 448 3314727 21684.5 447
"55560" 3314731 21734.4 451 3314730 21734.4 450
"55560" 3314738 22070.6 458 3314737 22070.6 457
expired_calendar WARNING 76

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 76 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3901 "73341"
3860 "1256"
3856 "1271"
15641 "1294"
27041 "24601"
2 "1339"
27033 "12709"
11737 "1379"
9 "1461"
27027 "1954"
23205 "20239"
27036 "20237"
3878 "44515"
3877 "44517"
27035 "17222"
19476 "17343"
398 "66495"
23601 "66422"
8192 "66423"
20026 "66552"
20025 "66550"
12301 "66551"
43 "76307"
23236 "76308"
44 "76309"
27037 "13033"
3869 "13105"
19510 "76816"
12 "2009"
14 "2022"
15659 "2066"
11750 "2111"
19467 "2123"
15661 "2137"
15697 "62494"
7766 "2158"
7769 "2175"
7771 "2173"
23190 "2206"
7772 "2205"
15663 "2218"
19465 "2217"
23193 "2216"
19461 "2213"
27026 "2224"
11753 "2285"
15676 "13743"
7776 "2499"
42 "74744"
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.
30485 "21_APNV_416-45-3-250526-ab-1310" "17272" 196.9887428340989 3.283145713901648 152421 17 "99227" "Krekenava" "14:03:00" 152422 18 "99243" "Rabikiai" "14:03:00"
4524 "48_1760" "16027" 241.63706430018638 4.0272844050031065 614161 33 "71255" "Ąžuoliniai" "07:55:00" 614162 34 "92301" "Ostampas" "07:55:00"
fast_travel_between_far_stops WARNING 1

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

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.
4524 "48_1760" "16027" 205.63332489854255 10.281666244927129 614158 30 "92286" "Gluosninkai" "07:53:00" 614162 34 "92301" "Ostampas" "07:55:00"
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.
10674 "2699" "7597198"
10881 "2699" "7597184"
11030 "2699" "7597129"
11041 "2699" "7597153"
11094 "2699" "7597173"
11355 "2699" "7597141"
11386 "2699" "7597182"
11586 "2699" "7597126"
11624 "2699" "7597138"
11738 "2699" "7597185"
11747 "2699" "7597205"
11809 "2699" "7597145"
12079 "2699" "7597161"
12113 "2699" "7597151"
12124 "2699" "7597197"
12180 "2699" "7597199"
12289 "2699" "7597200"
12418 "2699" "7597159"
12480 "2699" "7597135"
12485 "2699" "7597165"
12550 "2699" "7597160"
12623 "2699" "7597158"
12682 "2699" "7597162"
12905 "2699" "7597154"
12959 "2699" "7597180"
13189 "2699" "7597192"
13310 "2699" "7597178"
13431 "2699" "7597167"
13435 "2699" "7597134"
13444 "2699" "7597206"
13450 "2699" "7597143"
13461 "2699" "7597190"
13568 "2699" "7597149"
13627 "2699" "7597204"
13681 "2699" "7597142"
13710 "2699" "7597207"
13784 "2699" "7597193"
13794 "2699" "7597175"
13848 "2699" "7597021"
21402 "2699" "7597136"
21434 "2699" "7597202"
21518 "2699" "7597125"
21541 "2699" "7597211"
21579 "2699" "7597208"
21693 "2699" "7597210"
21702 "2699" "7597201"
21704 "2699" "7597172"
21722 "2699" "7597187"
21762 "2699" "7597156"
21789 "2699" "7597209"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

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

missing_timepoint_value

stop_times.timepoint value is missing for a record.

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

You can see more about this notice here.

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

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "41891" 1
3 "41891" 2
4 "41891" 3
5 "41891" 4
6 "41891" 5
7 "41891" 6
8 "41891" 7
9 "41891" 8
10 "41891" 9
11 "41979" 1
12 "41979" 2
13 "41979" 3
14 "41979" 4
15 "41980" 1
16 "41980" 2
17 "41980" 3
18 "41980" 4
19 "41981" 1
20 "41981" 2
21 "41981" 3
22 "41981" 4
23 "41982" 1
24 "41982" 2
25 "41982" 3
26 "41982" 4
27 "42101" 1
28 "42101" 2
29 "42101" 4
30 "42101" 5
31 "42101" 6
32 "42103" 1
33 "42103" 2
34 "42103" 4
35 "42103" 5
36 "42103" 6
37 "42105" 1
38 "42105" 2
39 "42105" 4
40 "42105" 5
41 "42203" 1
42 "42203" 2
43 "42203" 3
44 "42203" 4
45 "42203" 5
46 "42203" 6
47 "42203" 7
48 "42203" 8
49 "42203" 9
50 "42203" 10
51 "42203" 11
mixed_case_recommended_field WARNING 773

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 773 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" 22
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 23
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 24
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 25
"routes.txt" "route_short_name" "3_VLP" 44
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 146
"routes.txt" "route_short_name" "5_VLP" 259
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 273
"routes.txt" "route_short_name" "40-DT" 334
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 351
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 354
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 446
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 447
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 450
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 451
"routes.txt" "route_short_name" "2_VLP" 469
"routes.txt" "route_short_name" "94AT" 584
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 666
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 667
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 709
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 729
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 732
"routes.txt" "route_short_name" "94-DC" 770
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 856
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 857
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 858
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 860
"routes.txt" "route_short_name" "4_VLP" 887
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 911
"routes.txt" "route_short_name" "70AC" 1021
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1054
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1055
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1056
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1060
"routes.txt" "route_short_name" "1A_VLP" 1073
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1078
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1182
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1233
"routes.txt" "route_short_name" "2A_VLP" 1275
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1287
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1298
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1300
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1314
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1338
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1393
"routes.txt" "route_short_name" "50AB" 1448
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 1469
"routes.txt" "route_long_name" "JONAVA-KULVA" 1471
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 1472
stop_too_far_from_shape WARNING 42

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.
21608 "3636" "45756" 2602 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
24437 "3651" "45771" 2631 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
12865 "3653" "45773" 2632 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
24417 "43544" "8124133" 214077 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
21961 "43548" "8124139" 214115 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
10780 "26974" "7317010" 41035 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
10780 "26974" "7317010" 41036 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
10780 "26974" "7317010" 41051 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
21770 "18654" "3218451" 27608 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
13634 "32206" "7476584" 51900 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
13634 "32206" "7476584" 51901 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
13634 "32206" "7476584" 51902 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
13634 "32206" "7476584" 51905 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
13634 "32206" "7476584" 51910 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
11326 "3899" "46086" 2740 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11064 "3014" "43694" 1854 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
22002 "29420" "7429613" 47107 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13471 "4529" "46899" 3676 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22736 "4527" "47691" 5190 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
22967 "4528" "47692" 5191 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
21482 "14622" "7150732" 40004 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
13870 "2821" "45017" 2526 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
11853 "29615" "7432118" 47515 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
22262 "29616" "7432119" 47563 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
23873 "3339" "46943" 3677 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13154 "4710" "47248" 4396 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
21840 "4711" "47251" 4421 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
11556 "11705" "747606" 18127 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10962 "6511" "54507" 10388 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
21550 "6509" "54501" 10334 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
11676 "6513" "54509" 10412 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
21519 "29093" "7413976" 44796 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
22673 "29092" "7413975" 44766 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
10691 "5232" "48167" 5609 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
11546 "44681" "8136901" 224018 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
13190 "3514" "45563" 2549 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12739 "3537" "45591" 2574 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13890 "17131" "2515701" 24947 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
10823 "3574" "45644" 2575 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
13062 "3617" "45754" 2601 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
13372 "15331" "2211798" 21967 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
11411 "15330" "2211797" 21966 "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.
23458 "3645" "57657" 14445 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14444 "12152" "Jonaičiai" [55.34641499999999,21.570023]
12490 "3667" "57730" 14584 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14583 "13926" "Jonaičiai" [55.346103,21.568929]
23055 "3714" "57736" 14658 "13926" "Jonaičiai" [55.346103,21.568929] 14657 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
12477 "13808" "1228372" 20663 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20662 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
23027 "26489" "7231018" 40597 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 40596 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
23315 "35668" "7652364" 62969 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 62968 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
12815 "28435" "7339430" 42496 "64819" "Suostas" [56.32837413018391,24.713657886432735] 42495 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
21457 "28434" "7339429" 42472 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 42471 "64820" "Suostas" [56.32837775901334,24.713656830174433]
23046 "6591" "57636" 14121 "13926" "Jonaičiai" [55.346103,21.568929] 14120 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
12510 "3554" "57643" 14249 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14248 "12152" "Jonaičiai" [55.34641499999999,21.570023]
21679 "40377" "8016002" 92252 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 92251 "97223" "Tarvydai I" [55.328604,21.56423]
11332 "40378" "8016003" 92261 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 92260 "97223" "Tarvydai I" [55.328604,21.56423]
12994 "5353" "57618" 13933 "13926" "Jonaičiai" [55.346103,21.568929] 13932 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
13912 "54901" "8226897" 442340 "45588" "Balbieriškis" [54.524770000000004,23.885448] 442339 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
23578 "54903" "8241502" 542586 "45588" "Balbieriškis" [54.524770000000004,23.885448] 542585 "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