GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-08-25T06:13:54+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: 41
  • Blocks: 0
  • Routes: 1208
  • Shapes: 3133
  • Stops: 11600
  • Trips: 19557

Specification Compliance report

110682 notices reported (0 errors, 110649 warnings, 33 infos)

Notice Code Severity Total
duplicate_route_name WARNING 2

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`.
619 "16052" 850 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
395 "3645" 1069 "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" 483231 29882.7 878 483230 29882.7 877 0.12791084993239907
"2328" 392129 35929.8 642 392128 35929.8 641 0.11119510090982554
"3659" 478281 49657.5 1177 478280 49657.5 1176 0.12791084993239907
"2369" 377469 63265.5 1261 377468 63265.5 1260 0.11119510090982554
"2385" 587299 69168.3 1771 587298 69168.3 1770 0.06441976500794575
"28733" 2326780 71509.2 1569 2326779 71509.2 1568 0.06441976500794575
"1919" 752112 136875.8 2842 752111 136875.8 2841 0.12752942403551987
"1919" 752115 136876.0 2845 752114 136876.0 2844 0.11119510090982554
"1919" 752122 136876.5 2852 752121 136876.5 2851 0.11119510232447394
"1919" 752125 136876.7 2855 752124 136876.7 2854 0.11119510161714974
"1919" 752128 136876.9 2858 752127 136876.9 2857 0.12752941555597483
"1919" 752137 136877.5 2867 752136 136877.5 2866 0.11119510090982554
"1919" 752140 136877.7 2870 752139 136877.7 2869 0.11119510161714974
"1919" 752143 136877.9 2873 752142 136877.9 2872 0.11119510090982554
"1919" 752150 136878.4 2880 752149 136878.4 2879 0.11119510090982554
"1919" 752153 136878.6 2883 752152 136878.6 2882 0.11119510161714974
"1919" 752162 136879.2 2892 752161 136879.2 2891 0.11119510090982554
"1919" 752165 136879.4 2895 752164 136879.4 2894 0.12752939825777979
"1919" 752168 136879.6 2898 752167 136879.6 2897 0.11119510161714974
"1919" 752177 136880.2 2907 752176 136880.2 2906 0.11119510161714974
"1919" 752181 136880.5 2911 752180 136880.5 2910 0.06244513630731429
"1919" 752187 136880.9 2917 752186 136880.9 2916 0.11119510161714974
"1919" 752190 136881.1 2920 752189 136881.1 2919 0.11119510090982554
"1919" 752193 136881.3 2923 752192 136881.3 2922 0.11119510090982554
"1919" 752202 136881.9 2932 752201 136881.9 2931 0.12752938095958766
"1919" 752205 136882.1 2935 752204 136882.1 2934 0.11119510161714974
"1919" 752216 136882.8 2946 752215 136882.8 2945 0.11119510161714974
"1919" 752221 136883.1 2951 752220 136883.1 2950 0.11119510161714974
"1919" 752229 136883.6 2959 752228 136883.6 2958 0.11119510090982554
"1919" 752234 136883.9 2964 752233 136883.9 2963 0.11119510090982554
"1919" 752247 136884.7 2977 752246 136884.7 2976 0.11119510161714974
"1919" 752249 136884.8 2979 752248 136884.8 2978 0.11119510090982554
"1919" 752252 136885.0 2982 752251 136885.0 2981 0.11119510161714974
"1919" 752260 136885.5 2990 752259 136885.5 2989 0.1275293557985862
"1919" 752262 136885.6 2992 752261 136885.6 2991 0.11119510161714974
"1919" 752265 136885.8 2995 752264 136885.8 2994 0.11119510090982554
"1919" 752267 136885.9 2997 752266 136885.9 2996 0.11119510232447394
"1919" 752273 136886.3 3003 752272 136886.3 3002 0.06244505260741443
"1919" 752278 136886.6 3008 752277 136886.6 3007 0.11119510161714974
"1919" 752280 136886.7 3010 752279 136886.7 3009 0.11119510090982554
"1919" 752283 136886.9 3013 752282 136886.9 3012 0.11119510090982554
"1919" 752285 136887.0 3015 752284 136887.0 3014 0.11119510090982554
"1919" 752291 136887.4 3021 752290 136887.4 3020 0.11119510090982554
"1919" 752293 136887.5 3023 752292 136887.5 3022 0.11119510161714974
"1919" 752296 136887.7 3026 752295 136887.7 3025 0.11119510090982554
"1919" 752298 136887.8 3028 752297 136887.8 3027 0.11119510161714974
"1919" 752309 136888.5 3039 752308 136888.5 3038 0.11119510161714974
"1919" 752311 136888.6 3041 752310 136888.6 3040 0.11119510090982554
"1919" 752314 136888.8 3044 752313 136888.8 3043 0.11119510090982554
"1919" 752323 136889.4 3053 752322 136889.4 3052 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 6014

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 6014 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`.
"29239" 2570913 160069.3 3319 2570912 160069.3 3318
"3699" 540155 17853.2 141 540154 17853.2 140
"3699" 540180 19846.6 166 540179 19846.6 165
"3699" 540191 21672.8 177 540190 21672.8 176
"3699" 540198 22751.5 184 540197 22751.5 183
"3699" 540202 24107.8 188 540201 24107.8 187
"3699" 540207 25643.1 193 540206 25643.1 192
"3699" 540234 29354.5 220 540233 29354.5 219
"3699" 540239 30889.8 225 540238 30889.8 224
"3699" 540243 32246.1 229 540242 32246.1 228
"3699" 540250 33324.8 236 540249 33324.8 235
"3699" 540261 35151.0 247 540260 35151.0 246
"3699" 540286 37144.4 272 540285 37144.4 271
"38156" 3044237 747.6 15 3044236 747.6 14
"38156" 3044245 922.0 23 3044244 922.0 22
"38156" 3044299 2228.4 77 3044298 2228.4 76
"38156" 3044308 2559.2 86 3044307 2559.2 85
"38156" 3044323 3241.7 101 3044322 3241.7 100
"38156" 3044336 3699.6 114 3044335 3699.6 113
"38156" 3044351 4429.8 129 3044350 4429.8 128
"38156" 3044363 4825.7 141 3044362 4825.7 140
"38156" 3044391 5646.2 169 3044390 5646.2 168
"38156" 3044415 6164.4 193 3044414 6164.4 192
"38156" 3044424 6481.8 202 3044423 6481.8 201
"38156" 3044445 7319.4 223 3044444 7319.4 222
"38156" 3044453 7777.9 231 3044452 7777.9 230
"38156" 3044494 8999.5 272 3044493 8999.5 271
"38156" 3044539 10364.8 317 3044538 10364.8 316
"38156" 3044564 11099.3 342 3044563 11099.3 341
"38156" 3044596 11964.7 374 3044595 11964.7 373
"38156" 3044638 13070.7 416 3044637 13070.7 415
"38156" 3044708 15129.2 486 3044707 15129.2 485
"38159" 3103751 3211.0 65 3103750 3211.0 64
"38159" 3103820 5371.4 134 3103819 5371.4 133
"38159" 3103864 6566.5 178 3103863 6566.5 177
"38159" 3103897 7397.6 211 3103896 7397.6 210
"38159" 3103920 8077.3 234 3103919 8077.3 233
"38159" 3103965 9442.6 279 3103964 9442.6 278
"38159" 3104006 10678.3 320 3104005 10678.3 319
"38159" 3104016 11160.7 330 3104015 11160.7 329
"38159" 3104035 11927.0 349 3104034 11927.0 348
"38159" 3104044 12325.8 358 3104043 12325.8 357
"38159" 3104068 12796.0 382 3104067 12796.0 381
"38159" 3104099 13647.5 413 3104098 13647.5 412
"38159" 3104108 14043.1 422 3104107 14043.1 421
"38159" 3104125 14850.3 439 3104124 14850.3 438
"38159" 3104134 15124.5 448 3104133 15124.5 447
"38159" 3104151 15822.1 465 3104150 15822.1 464
"38159" 3104160 16213.8 474 3104159 16213.8 473
"4124" 871360 212232.8 3475 871359 212232.8 3474
expired_calendar WARNING 40

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.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
1987 "60928"
1988 "60959"
1962 "44833"
1579 "47985"
2786 "44819"
826 "60890"
1200 "48492"
17 "43774"
395 "1256"
1956 "3047"
1637 "19249"
2780 "24602"
2361 "3086"
2380 "48594"
2770 "2688"
12 "2697"
798 "10038"
1182 "2705"
796 "2713"
1952 "2726"
1183 "2734"
1953 "2731"
434 "60347"
2771 "2773"
3160 "46050"
55 "1461"
1954 "2789"
1570 "2796"
2757 "678"
13 "2801"
797 "2800"
1955 "2806"
2772 "2848"
1970 "48071"
25 "48073"
2360 "2938"
1969 "48062"
1554 "973"
14 "6675"
1186 "6669"
fast_travel_between_consecutive_stops WARNING 1

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
3961 "8048245" "16874" 1041.5567056076209 1.7359278426793683 400529 20 "11568" "Išorai" "15:52:57" 400530 21 "71035" "Girininkai" "15:53:03"
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.
3026 "2699" "7597128"
3027 "2699" "7597129"
3032 "2699" "7597133"
3033 "2699" "7597134"
3034 "2699" "7597135"
3035 "2699" "7597136"
3036 "2699" "7597137"
3037 "2699" "7597138"
3038 "2699" "7597139"
3061 "2699" "7597130"
3062 "2699" "7597131"
3063 "2699" "7597132"
8760 "2699" "7597125"
8801 "2699" "7597126"
8802 "2699" "7597127"
8863 "2699" "7597140"
8864 "2699" "7597141"
8865 "2699" "7597142"
8866 "2699" "7597143"
8867 "2699" "7597144"
8868 "2699" "7597145"
8869 "2699" "7597146"
8966 "2699" "7597147"
9044 "2699" "7597148"
9045 "2699" "7597149"
9139 "2699" "7597150"
9140 "2699" "7597151"
9141 "2699" "7597153"
9142 "2699" "7597154"
9179 "2699" "7597155"
9180 "2699" "7597156"
9181 "2699" "7597157"
9182 "2699" "7597158"
9183 "2699" "7597159"
9184 "2699" "7597160"
9185 "2699" "7597161"
9223 "2699" "7597162"
9224 "2699" "7597163"
9251 "2699" "7597164"
9255 "2699" "7597165"
9256 "2699" "7597166"
9257 "2699" "7597167"
18139 "2699" "7597174"
18140 "2699" "7597180"
18144 "2699" "7597181"
18145 "2699" "7597175"
18146 "2699" "7597176"
18147 "2699" "7597177"
18148 "2699" "7597178"
18252 "2699" "7597182"
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 258

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 258 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\"" 41
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 32
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 56
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 71
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 85
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 161
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 213
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 224
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 285
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 318
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 332
"routes.txt" "route_long_name" "JONAVA-KULVA" 353
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 366
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 371
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 375
"routes.txt" "route_long_name" "JONAVA-RUKLA" 467
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 468
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 474
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 500
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 566
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 647
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 660
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 701
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 783
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 815
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 823
"routes.txt" "route_long_name" "JONAVA - SB TAUROSTA" 907
"routes.txt" "route_long_name" "PASVALYS-ŽILPAMŪŠIS PER TETIRVINUS" 924
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 936
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 946
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 977
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 979
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 991
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1052
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 1063
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1079
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 1118
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1121
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1131
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1158
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1209
"stops.txt" "stop_name" "140 km" 21
"stops.txt" "stop_name" "9-ojo forto muziejus" 1084
"stops.txt" "stop_name" "7-asis kilometras A" 1102
"stops.txt" "stop_name" "VDU klasikinio ugdymo mokykla" 1139
"stops.txt" "stop_name" "dirbtuvės už kriklinių" 1838
"stops.txt" "stop_name" "28 - as km" 2327
"stops.txt" "stop_name" "žieda" 2340
"stops.txt" "stop_name" "16-sis kilometras" 2380
"stops.txt" "stop_name" "9 kilometras" 2430
stop_too_far_from_shape WARNING 54

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 54 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.
2103 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
2104 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1970 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
4814 "26974" "7317012" 41407 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
4814 "26974" "7317012" 41408 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
4814 "26974" "7317012" 41423 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
4620 "10745" "432217" 14713 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
14124 "29329" "7418310" 47911 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
12477 "29328" "7418309" 47888 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
12541 "37844" "7870877" 90521 "91578" "Vidgiriai (kryžkelė)" [54.525926,23.216358000000003] 264.82495354003026
8606 "37846" "7870668" 86627 "91654" "Kūlokai" [54.45108200000001,23.396507] 3297.0156004557466
13302 "9923" "432216" 14712 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
14256 "37814" "7870743" 88107 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
12540 "37804" "7870876" 90514 "91578" "Vidgiriai (kryžkelė)" [54.525926,23.216358000000003] 264.82495354003026
11870 "18654" "3218451" 24926 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
3762 "32206" "7476583" 53882 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
3762 "32206" "7476583" 53883 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
3762 "32206" "7476583" 53884 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
3762 "32206" "7476583" 53887 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
3762 "32206" "7476583" 53892 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
2011 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2071 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
12598 "29420" "7429613" 48433 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
7893 "22910" "4973791" 33520 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
2091 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2100 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
2060 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
10322 "14622" "7150732" 39707 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
14544 "18184" "2933102" 24411 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
16439 "18185" "2933105" 24425 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
2081 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
15953 "29615" "7432118" 48977 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
13023 "29616" "7432119" 49025 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
14892 "21886" "7847213" 83888 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
10818 "21885" "7846879" 79345 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
16152 "21887" "7847087" 82144 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
14448 "21891" "7846864" 79135 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
14284 "21865" "7846863" 79092 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
14227 "21872" "7846731" 77389 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
2176 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
230 "40980" "8048013" 396457 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
7946 "28460" "7340053" 43520 "8316" "Tirkšlių paviljonas" [56.262579012838884,22.304642653254728] 376.76730742519857
14621 "11705" "747606" 14871 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1796 "6511" "54507" 8498 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
1688 "6509" "54501" 8444 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
1798 "6513" "54509" 8522 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
11331 "29093" "7413976" 45758 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
11330 "29092" "7413975" 45728 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
2179 "5232" "48166" 5564 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
2082 "3514" "45563" 3444 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
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.
15462 "3645" "57657" 10664 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10663 "12152" "Jonaičiai" [55.34641499999999,21.570023]
15439 "3667" "57730" 10803 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10802 "13926" "Jonaičiai" [55.346103,21.568929]
15117 "3714" "57735" 10861 "13926" "Jonaičiai" [55.346103,21.568929] 10860 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
5495 "13808" "1228372" 17082 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 17081 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
17829 "17480" "2657524" 22797 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 22796 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
7900 "22910" "4973794" 33543 "44981" "Apušėliai" [56.058900282912056,23.196604001375526] 33542 "23941" "Žiogai" [56.04871914929978,23.214028627477276]
15436 "6591" "57635" 10324 "13926" "Jonaičiai" [55.346103,21.568929] 10323 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
1803 "3554" "57640" 10402 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10401 "12152" "Jonaičiai" [55.34641499999999,21.570023]
14036 "29102" "7413991" 45852 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 45851 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
18138 "40377" "8016002" 302993 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 302992 "97223" "Tarvydai I" [55.328604,21.56423]
8882 "40378" "8016003" 303002 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 303001 "97223" "Tarvydai I" [55.328604,21.56423]
15730 "5353" "57618" 10152 "13926" "Jonaičiai" [55.346103,21.568929] 10151 "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