GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-05-22T07:38:05+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: 1635
  • Shapes: 4352
  • Stops: 15905
  • Trips: 29427

Specification Compliance report

121406 notices reported (0 errors, 121373 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 3

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`.
1034 "6212" 1158 "16052" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
250 "6209" 1361 "18329" "M1" "Alytus - Geniai" 3 "48"
491 "3645" 1534 "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" 490315 29882.7 878 490314 29882.7 877 0.12791084993239907
"2328" 406245 35929.8 642 406244 35929.8 641 0.11119510090982554
"3659" 485365 49657.5 1177 485364 49657.5 1176 0.12791084993239907
"42205" 3576762 57850.1 335 3576761 57850.1 334 0.06178544815632574
"2369" 399896 63265.5 1261 399895 63265.5 1260 0.11119510090982554
"2385" 596279 69168.3 1771 596278 69168.3 1770 0.06441976500794575
"28733" 2312502 71509.2 1569 2312501 71509.2 1568 0.06441976500794575
"1919" 732130 136875.8 2842 732129 136875.8 2841 0.12752942403551987
"1919" 732133 136876.0 2845 732132 136876.0 2844 0.11119510090982554
"1919" 732140 136876.5 2852 732139 136876.5 2851 0.11119510232447394
"1919" 732143 136876.7 2855 732142 136876.7 2854 0.11119510161714974
"1919" 732146 136876.9 2858 732145 136876.9 2857 0.12752941555597483
"1919" 732155 136877.5 2867 732154 136877.5 2866 0.11119510090982554
"1919" 732158 136877.7 2870 732157 136877.7 2869 0.11119510161714974
"1919" 732161 136877.9 2873 732160 136877.9 2872 0.11119510090982554
"1919" 732168 136878.4 2880 732167 136878.4 2879 0.11119510090982554
"1919" 732171 136878.6 2883 732170 136878.6 2882 0.11119510161714974
"1919" 732180 136879.2 2892 732179 136879.2 2891 0.11119510090982554
"1919" 732183 136879.4 2895 732182 136879.4 2894 0.12752939825777979
"1919" 732186 136879.6 2898 732185 136879.6 2897 0.11119510161714974
"1919" 732195 136880.2 2907 732194 136880.2 2906 0.11119510161714974
"1919" 732199 136880.5 2911 732198 136880.5 2910 0.06244513630731429
"1919" 732205 136880.9 2917 732204 136880.9 2916 0.11119510161714974
"1919" 732208 136881.1 2920 732207 136881.1 2919 0.11119510090982554
"1919" 732211 136881.3 2923 732210 136881.3 2922 0.11119510090982554
"1919" 732220 136881.9 2932 732219 136881.9 2931 0.12752938095958766
"1919" 732223 136882.1 2935 732222 136882.1 2934 0.11119510161714974
"1919" 732234 136882.8 2946 732233 136882.8 2945 0.11119510161714974
"1919" 732239 136883.1 2951 732238 136883.1 2950 0.11119510161714974
"1919" 732247 136883.6 2959 732246 136883.6 2958 0.11119510090982554
"1919" 732252 136883.9 2964 732251 136883.9 2963 0.11119510090982554
"1919" 732265 136884.7 2977 732264 136884.7 2976 0.11119510161714974
"1919" 732267 136884.8 2979 732266 136884.8 2978 0.11119510090982554
"1919" 732270 136885.0 2982 732269 136885.0 2981 0.11119510161714974
"1919" 732278 136885.5 2990 732277 136885.5 2989 0.1275293557985862
"1919" 732280 136885.6 2992 732279 136885.6 2991 0.11119510161714974
"1919" 732283 136885.8 2995 732282 136885.8 2994 0.11119510090982554
"1919" 732285 136885.9 2997 732284 136885.9 2996 0.11119510232447394
"1919" 732291 136886.3 3003 732290 136886.3 3002 0.06244505260741443
"1919" 732296 136886.6 3008 732295 136886.6 3007 0.11119510161714974
"1919" 732298 136886.7 3010 732297 136886.7 3009 0.11119510090982554
"1919" 732301 136886.9 3013 732300 136886.9 3012 0.11119510090982554
"1919" 732303 136887.0 3015 732302 136887.0 3014 0.11119510090982554
"1919" 732309 136887.4 3021 732308 136887.4 3020 0.11119510090982554
"1919" 732311 136887.5 3023 732310 136887.5 3022 0.11119510161714974
"1919" 732314 136887.7 3026 732313 136887.7 3025 0.11119510090982554
"1919" 732316 136887.8 3028 732315 136887.8 3027 0.11119510161714974
"1919" 732327 136888.5 3039 732326 136888.5 3038 0.11119510161714974
"1919" 732329 136888.6 3041 732328 136888.6 3040 0.11119510090982554
"1919" 732332 136888.8 3044 732331 136888.8 3043 0.11119510090982554
equal_shape_distance_same_coordinates WARNING 16506

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 16506 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"55560" 3305578 25.8 3 3305577 25.8 2
"55560" 3305619 2388.3 44 3305618 2388.3 43
"55560" 3305631 3182.6 56 3305630 3182.6 55
"55560" 3305635 3262.5 60 3305634 3262.5 59
"55560" 3305690 5428.3 115 3305689 5428.3 114
"55560" 3305699 5767.2 124 3305698 5767.2 123
"55560" 3305701 5959.5 126 3305700 5959.5 125
"55560" 3305704 6072.2 129 3305703 6072.2 128
"55560" 3305724 7328.9 149 3305723 7328.9 148
"55560" 3305759 9433.5 184 3305758 9433.5 183
"55560" 3305774 10146.9 199 3305773 10146.9 198
"55560" 3305795 11247.0 220 3305794 11247.0 219
"55560" 3305799 11334.1 224 3305798 11334.1 223
"55560" 3305849 14027.0 274 3305848 14027.0 273
"55560" 3305862 14822.5 287 3305861 14822.5 286
"55560" 3305887 16299.5 312 3305886 16299.5 311
"55560" 3305915 17487.3 340 3305914 17487.3 339
"55560" 3305953 19123.6 378 3305952 19123.6 377
"55560" 3305960 19373.1 385 3305959 19373.1 384
"55560" 3305987 20736.5 412 3305986 20736.5 411
"55560" 3305991 20821.5 416 3305990 20821.5 415
"55560" 3306023 21684.5 448 3306022 21684.5 447
"55560" 3306026 21734.4 451 3306025 21734.4 450
"55560" 3306033 22070.6 458 3306032 22070.6 457
"55560" 3306040 22632.4 465 3306039 22632.4 464
"55560" 3306047 23104.4 472 3306046 23104.4 471
"55560" 3306064 23985.8 489 3306063 23985.8 488
"55560" 3306070 24095.3 495 3306069 24095.3 494
"55560" 3306072 24162.1 497 3306071 24162.1 496
"55564" 3308080 387.4 21 3308079 387.4 20
"55564" 3308088 517.7 29 3308087 517.7 28
"55564" 3308112 1286.2 53 3308111 1286.2 52
"55564" 3308123 1651.0 64 3308122 1651.0 63
"55564" 3308126 1717.3 67 3308125 1717.3 66
"55564" 3308128 1746.4 69 3308127 1746.4 68
"55564" 3308130 1790.4 71 3308129 1790.4 70
"55564" 3308133 1896.5 74 3308132 1896.5 73
"55564" 3308136 1925.9 77 3308135 1925.9 76
"55564" 3308140 2045.2 81 3308139 2045.2 80
"55564" 3308145 2341.1 86 3308144 2341.1 85
"55564" 3308154 2582.6 95 3308153 2582.6 94
"55564" 3308158 2663.9 99 3308157 2663.9 98
"55564" 3308170 2771.7 111 3308169 2771.7 110
"55564" 3308185 2855.1 126 3308184 2855.1 125
"55564" 3308190 2992.2 131 3308189 2992.2 130
"55564" 3308198 3182.5 139 3308197 3182.5 138
"55564" 3308200 3254.5 141 3308199 3254.5 140
"55564" 3308206 3485.8 147 3308205 3485.8 146
"55564" 3308226 4000.4 167 3308225 4000.4 166
"55564" 3308246 4321.1 187 3308245 4321.1 186
expired_calendar WARNING 74

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 74 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "1076"
3786 "73341"
3745 "1256"
3741 "1271"
15262 "1294"
26441 "24601"
2 "1339"
26433 "12709"
11450 "1379"
9 "1461"
26427 "1954"
22681 "20239"
26436 "20237"
3763 "44515"
3762 "44517"
26435 "17222"
19021 "17343"
396 "66495"
23075 "66422"
19570 "66550"
12015 "66551"
43 "76307"
22712 "76308"
44 "76309"
26437 "13033"
3754 "13105"
19055 "76816"
12 "2009"
14 "2022"
15280 "2066"
11463 "2111"
19012 "2123"
15282 "2137"
15318 "62494"
7560 "2158"
7563 "2175"
7565 "2173"
22666 "2206"
7566 "2205"
15284 "2218"
19010 "2217"
22669 "2216"
19006 "2213"
26426 "2224"
11466 "2285"
15297 "13743"
7570 "2499"
42 "74744"
7567 "2685"
15288 "2737"
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.
1494 "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"
15845 "48_1760" "16027" 241.63706430018638 4.0272844050031065 624308 33 "71255" "Ąžuoliniai" "07:55:00" 624309 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.
15845 "48_1760" "16027" 205.63332489854255 10.281666244927129 624305 30 "92286" "Gluosninkai" "07:53:00" 624309 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.
2173 "2699" "7597178"
2337 "2699" "7597167"
2341 "2699" "7597134"
2350 "2699" "7597206"
2356 "2699" "7597143"
2446 "2699" "7597149"
2511 "2699" "7597190"
2547 "2699" "7597204"
2601 "2699" "7597142"
2680 "2699" "7597193"
2690 "2699" "7597175"
2747 "2699" "7597207"
2787 "2699" "7597021"
2987 "2699" "7597198"
3055 "2699" "7597129"
3066 "2699" "7597153"
3119 "2699" "7597173"
3439 "2699" "7597141"
3470 "2699" "7597182"
3648 "2699" "7597184"
3779 "2699" "7597185"
3788 "2699" "7597205"
3860 "2699" "7597145"
4178 "2699" "7597161"
4197 "2699" "7597151"
4208 "2699" "7597197"
4264 "2699" "7597199"
4315 "2699" "7597200"
4471 "2699" "7597135"
4476 "2699" "7597165"
4541 "2699" "7597160"
4598 "2699" "7597159"
4661 "2699" "7597158"
4846 "2699" "7597162"
4965 "2699" "7597180"
5073 "2699" "7597154"
5183 "2699" "7597192"
25868 "2699" "7597148"
25912 "2699" "7597194"
25923 "2699" "7597131"
25941 "2699" "7597163"
25966 "2699" "7597132"
26098 "2699" "7597170"
26186 "2699" "7597196"
26209 "2699" "7597144"
26234 "2699" "7597140"
26296 "2699" "7597191"
26301 "2699" "7597133"
26483 "2699" "7597147"
26662 "2699" "7597130"
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 706

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 706 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "UŽDAROJI AKCINĖ BENDROVĖ \"EMTRA\"" 53
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 129
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 154
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 155
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 157
"routes.txt" "route_long_name" "RIMKAI-SKARULIŲ KAPINĖS" 159
"routes.txt" "route_short_name" "3_VLP" 167
"routes.txt" "route_long_name" "ŽELVA - PUSNĖ" 241
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 249
"routes.txt" "route_short_name" "40-DT" 306
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 321
"routes.txt" "route_short_name" "5_VLP" 372
"routes.txt" "route_short_name" "94AT" 470
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 566
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 567
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 568
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 569
"routes.txt" "route_short_name" "2_VLP" 579
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 667
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 692
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 723
"routes.txt" "route_short_name" "94-DC" 753
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 773
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 775
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 829
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 953
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 954
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 955
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 956
"routes.txt" "route_short_name" "4_VLP" 965
"routes.txt" "route_short_name" "70AC" 987
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 1080
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 1135
"routes.txt" "route_long_name" "JONAVA-RUKLA" 1153
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1154
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 1155
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 1156
"routes.txt" "route_short_name" "1A_VLP" 1161
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 1185
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 1243
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 1248
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1276
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 1279
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 1284
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 1350
"routes.txt" "route_short_name" "2A_VLP" 1365
"routes.txt" "route_short_name" "50AB" 1405
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1468
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1508
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1516
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.
28842 "3636" "45756" 2602 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27957 "3651" "45771" 2631 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
5033 "3653" "45773" 2632 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
27937 "43544" "8124133" 214077 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
29380 "43548" "8124139" 214115 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
2714 "26974" "7317010" 41035 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
2714 "26974" "7317010" 41036 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
2714 "26974" "7317010" 41051 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
29096 "18654" "3218451" 27608 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
2554 "32206" "7476584" 51900 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
2554 "32206" "7476584" 51901 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
2554 "32206" "7476584" 51902 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
2554 "32206" "7476584" 51905 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
2554 "32206" "7476584" 51910 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
3360 "3899" "46086" 2740 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3089 "3014" "43694" 1854 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
29421 "29420" "7429613" 47107 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2521 "4529" "46899" 3676 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
26370 "4527" "47691" 5190 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28431 "4528" "47692" 5191 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
28659 "14622" "7150732" 40004 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
2809 "2821" "45017" 2526 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3904 "29615" "7432118" 47515 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
26322 "29616" "7432119" 47563 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
25904 "3339" "46943" 3677 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5148 "4710" "47248" 4396 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
27162 "4711" "47250" 4409 "4945" "Onuškis" [54.48374200000001,24.591959000000003] 103.16686496628398
27303 "11705" "747606" 18127 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3174 "6511" "54507" 10388 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
28784 "6509" "54501" 10334 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3717 "6513" "54509" 10412 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
27386 "29093" "7413977" 44810 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
28144 "29092" "7413975" 44766 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2278 "5232" "48166" 5601 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
2934 "44681" "8136900" 223993 "8356" "Plinkšės" [56.144066,22.178071] 417.1789694436801
5184 "3514" "45563" 2549 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
4722 "3537" "45591" 2574 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2935 "17131" "2515701" 24947 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
2864 "3574" "45644" 2575 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
5109 "3617" "45754" 2601 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2235 "15331" "2211798" 21967 "6964" "Mikieriai" [55.66300100000001,25.169295] 153.6142678364674
27258 "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.
28985 "3645" "57657" 14445 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14444 "12152" "Jonaičiai" [55.34641499999999,21.570023]
4481 "3667" "57730" 14584 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14583 "13926" "Jonaičiai" [55.346103,21.568929]
25867 "3714" "57735" 14642 "13926" "Jonaičiai" [55.346103,21.568929] 14641 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
4657 "13808" "1228372" 20663 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 20662 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
26560 "26489" "7231018" 40597 "10486" "Kuršų m-la" [55.853816990580704,22.40675061105697] 40596 "7720" "Baltininkai" [55.85382305337965,22.406770171019815]
26753 "35668" "7652364" 62969 "20855" "Kontariškiai" [56.04984708813942,24.383280063416947] 62968 "20829" "Smegduobių parkas" [56.056377166218944,24.39590345350891]
4925 "28435" "7339430" 42496 "64819" "Suostas" [56.32837413018391,24.713657886432735] 42495 "16112" "Svydžiai" [56.352930797976754,24.686322368913352]
28634 "28434" "7339429" 42472 "10057" "Svydžiai" [56.35334128457164,24.685572701413516] 42471 "64820" "Suostas" [56.32837775901334,24.713656830174433]
26579 "6591" "57636" 14121 "13926" "Jonaičiai" [55.346103,21.568929] 14120 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
4501 "3554" "57643" 14249 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 14248 "12152" "Jonaičiai" [55.34641499999999,21.570023]
28949 "40377" "8016002" 92252 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 92251 "97223" "Tarvydai I" [55.328604,21.56423]
3366 "40378" "8016003" 92261 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 92260 "97223" "Tarvydai I" [55.328604,21.56423]
5000 "5353" "57618" 13933 "13926" "Jonaičiai" [55.346103,21.568929] 13932 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
2957 "54901" "8226897" 449646 "45588" "Balbieriškis" [54.524770000000004,23.885448] 449645 "45784" "Balbieriškis" [54.525039387689404,23.885400507640224]
27011 "54903" "8241502" 549892 "45588" "Balbieriškis" [54.524770000000004,23.885448] 549891 "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