GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-09-17T06:08:39+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: 40
  • Blocks: 0
  • Routes: 1220
  • Shapes: 3189
  • Stops: 11746
  • Trips: 20155

Specification Compliance report

110777 notices reported (0 errors, 110744 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`.
677 "16052" 864 "6212" "M23" "Alytus - Punia - Butrimonys - Eigirdonys" 3 "48"
413 "3645" 1133 "8681" "144" "Vilnius (Žalgirio stotelė) – Nemenčinė per Pikeliškes" 3 "53"
293 "6209" 1216 "16982" "M1" "Alytus - Geniai" 3 "48"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4148

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 4148 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" 508576 29882.7 878 508575 29882.7 877 0.12791084993239907
"2328" 417474 35929.8 642 417473 35929.8 641 0.11119510090982554
"3659" 503626 49657.5 1177 503625 49657.5 1176 0.12791084993239907
"2369" 402814 63265.5 1261 402813 63265.5 1260 0.11119510090982554
"2385" 612644 69168.3 1771 612643 69168.3 1770 0.06441976500794575
"28733" 2311856 71509.2 1569 2311855 71509.2 1568 0.06441976500794575
"1919" 776874 136875.8 2842 776873 136875.8 2841 0.12752942403551987
"1919" 776877 136876.0 2845 776876 136876.0 2844 0.11119510090982554
"1919" 776884 136876.5 2852 776883 136876.5 2851 0.11119510232447394
"1919" 776887 136876.7 2855 776886 136876.7 2854 0.11119510161714974
"1919" 776890 136876.9 2858 776889 136876.9 2857 0.12752941555597483
"1919" 776899 136877.5 2867 776898 136877.5 2866 0.11119510090982554
"1919" 776902 136877.7 2870 776901 136877.7 2869 0.11119510161714974
"1919" 776905 136877.9 2873 776904 136877.9 2872 0.11119510090982554
"1919" 776912 136878.4 2880 776911 136878.4 2879 0.11119510090982554
"1919" 776915 136878.6 2883 776914 136878.6 2882 0.11119510161714974
"1919" 776924 136879.2 2892 776923 136879.2 2891 0.11119510090982554
"1919" 776927 136879.4 2895 776926 136879.4 2894 0.12752939825777979
"1919" 776930 136879.6 2898 776929 136879.6 2897 0.11119510161714974
"1919" 776939 136880.2 2907 776938 136880.2 2906 0.11119510161714974
"1919" 776943 136880.5 2911 776942 136880.5 2910 0.06244513630731429
"1919" 776949 136880.9 2917 776948 136880.9 2916 0.11119510161714974
"1919" 776952 136881.1 2920 776951 136881.1 2919 0.11119510090982554
"1919" 776955 136881.3 2923 776954 136881.3 2922 0.11119510090982554
"1919" 776964 136881.9 2932 776963 136881.9 2931 0.12752938095958766
"1919" 776967 136882.1 2935 776966 136882.1 2934 0.11119510161714974
"1919" 776978 136882.8 2946 776977 136882.8 2945 0.11119510161714974
"1919" 776983 136883.1 2951 776982 136883.1 2950 0.11119510161714974
"1919" 776991 136883.6 2959 776990 136883.6 2958 0.11119510090982554
"1919" 776996 136883.9 2964 776995 136883.9 2963 0.11119510090982554
"1919" 777009 136884.7 2977 777008 136884.7 2976 0.11119510161714974
"1919" 777011 136884.8 2979 777010 136884.8 2978 0.11119510090982554
"1919" 777014 136885.0 2982 777013 136885.0 2981 0.11119510161714974
"1919" 777022 136885.5 2990 777021 136885.5 2989 0.1275293557985862
"1919" 777024 136885.6 2992 777023 136885.6 2991 0.11119510161714974
"1919" 777027 136885.8 2995 777026 136885.8 2994 0.11119510090982554
"1919" 777029 136885.9 2997 777028 136885.9 2996 0.11119510232447394
"1919" 777035 136886.3 3003 777034 136886.3 3002 0.06244505260741443
"1919" 777040 136886.6 3008 777039 136886.6 3007 0.11119510161714974
"1919" 777042 136886.7 3010 777041 136886.7 3009 0.11119510090982554
"1919" 777045 136886.9 3013 777044 136886.9 3012 0.11119510090982554
"1919" 777047 136887.0 3015 777046 136887.0 3014 0.11119510090982554
"1919" 777053 136887.4 3021 777052 136887.4 3020 0.11119510090982554
"1919" 777055 136887.5 3023 777054 136887.5 3022 0.11119510161714974
"1919" 777058 136887.7 3026 777057 136887.7 3025 0.11119510090982554
"1919" 777060 136887.8 3028 777059 136887.8 3027 0.11119510161714974
"1919" 777071 136888.5 3039 777070 136888.5 3038 0.11119510161714974
"1919" 777073 136888.6 3041 777072 136888.6 3040 0.11119510090982554
"1919" 777076 136888.8 3044 777075 136888.8 3043 0.11119510090982554
"1919" 777085 136889.4 3053 777084 136889.4 3052 0.11119510161714974
equal_shape_distance_same_coordinates WARNING 6171

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 6171 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" 2595218 160069.3 3319 2595217 160069.3 3318
"3699" 565500 17853.2 141 565499 17853.2 140
"3699" 565525 19846.6 166 565524 19846.6 165
"3699" 565536 21672.8 177 565535 21672.8 176
"3699" 565543 22751.5 184 565542 22751.5 183
"3699" 565547 24107.8 188 565546 24107.8 187
"3699" 565552 25643.1 193 565551 25643.1 192
"3699" 565579 29354.5 220 565578 29354.5 219
"3699" 565584 30889.8 225 565583 30889.8 224
"3699" 565588 32246.1 229 565587 32246.1 228
"3699" 565595 33324.8 236 565594 33324.8 235
"3699" 565606 35151.0 247 565605 35151.0 246
"3699" 565631 37144.4 272 565630 37144.4 271
"38156" 3054967 747.6 15 3054966 747.6 14
"38156" 3054975 922.0 23 3054974 922.0 22
"38156" 3055029 2228.4 77 3055028 2228.4 76
"38156" 3055038 2559.2 86 3055037 2559.2 85
"38156" 3055053 3241.7 101 3055052 3241.7 100
"38156" 3055066 3699.6 114 3055065 3699.6 113
"38156" 3055081 4429.8 129 3055080 4429.8 128
"38156" 3055093 4825.7 141 3055092 4825.7 140
"38156" 3055121 5646.2 169 3055120 5646.2 168
"38156" 3055145 6164.4 193 3055144 6164.4 192
"38156" 3055154 6481.8 202 3055153 6481.8 201
"38156" 3055175 7319.4 223 3055174 7319.4 222
"38156" 3055183 7777.9 231 3055182 7777.9 230
"38156" 3055224 8999.5 272 3055223 8999.5 271
"38156" 3055269 10364.8 317 3055268 10364.8 316
"38156" 3055294 11099.3 342 3055293 11099.3 341
"38156" 3055326 11964.7 374 3055325 11964.7 373
"38156" 3055368 13070.7 416 3055367 13070.7 415
"38156" 3055438 15129.2 486 3055437 15129.2 485
"38159" 3112311 3211.0 65 3112310 3211.0 64
"38159" 3112380 5371.4 134 3112379 5371.4 133
"38159" 3112424 6566.5 178 3112423 6566.5 177
"38159" 3112457 7397.6 211 3112456 7397.6 210
"38159" 3112480 8077.3 234 3112479 8077.3 233
"38159" 3112525 9442.6 279 3112524 9442.6 278
"38159" 3112566 10678.3 320 3112565 10678.3 319
"38159" 3112576 11160.7 330 3112575 11160.7 329
"38159" 3112595 11927.0 349 3112594 11927.0 348
"38159" 3112604 12325.8 358 3112603 12325.8 357
"38159" 3112628 12796.0 382 3112627 12796.0 381
"38159" 3112659 13647.5 413 3112658 13647.5 412
"38159" 3112668 14043.1 422 3112667 14043.1 421
"38159" 3112685 14850.3 439 3112684 14850.3 438
"38159" 3112694 15124.5 448 3112693 15124.5 447
"38159" 3112711 15822.1 465 3112710 15822.1 464
"38159" 3112720 16213.8 474 3112719 16213.8 473
"4124" 902866 212232.8 3475 902865 212232.8 3474
expired_calendar WARNING 38

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.
2489 "60928"
2490 "60959"
2469 "44833"
1998 "47985"
3461 "44819"
1045 "60890"
1531 "48492"
17 "43774"
505 "1256"
2463 "3047"
3455 "24602"
2950 "3086"
2969 "48594"
3445 "2688"
12 "2697"
1021 "10038"
1513 "2705"
1019 "2713"
2459 "2726"
1514 "2734"
2460 "2731"
565 "60347"
3446 "2773"
65 "1461"
2461 "2789"
1989 "2796"
3432 "678"
13 "2801"
1020 "2800"
2462 "2806"
3447 "2848"
2477 "48071"
25 "48073"
2949 "2938"
2476 "48062"
1973 "973"
14 "6675"
1517 "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.
18202 "8055844" "17050" 1041.5567056076209 1.7359278426793683 264696 20 "11568" "Išorai" "15:52:57" 264697 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.
1149 "2699" "7597169"
4895 "2699" "7597174"
4896 "2699" "7597180"
4899 "2699" "7597181"
4900 "2699" "7597175"
4901 "2699" "7597176"
4902 "2699" "7597177"
4903 "2699" "7597178"
4923 "2699" "7597186"
4924 "2699" "7597187"
4926 "2699" "7597188"
4928 "2699" "7597189"
4957 "2699" "7597190"
4958 "2699" "7597191"
4959 "2699" "7597192"
4960 "2699" "7597193"
4961 "2699" "7597194"
4962 "2699" "7597195"
4963 "2699" "7597196"
4964 "2699" "7597197"
4965 "2699" "7597198"
5010 "2699" "7597182"
5011 "2699" "7597183"
5012 "2699" "7597184"
5013 "2699" "7597185"
5243 "2699" "7597021"
18860 "2699" "7597147"
18944 "2699" "7597148"
18945 "2699" "7597149"
19056 "2699" "7597150"
19057 "2699" "7597151"
19058 "2699" "7597153"
19059 "2699" "7597154"
19103 "2699" "7597155"
19104 "2699" "7597156"
19105 "2699" "7597157"
19106 "2699" "7597158"
19107 "2699" "7597159"
19108 "2699" "7597160"
19109 "2699" "7597161"
19112 "2699" "7597199"
19114 "2699" "7597200"
19115 "2699" "7597201"
19116 "2699" "7597202"
19174 "2699" "7597162"
19175 "2699" "7597163"
19187 "2699" "7597203"
19190 "2699" "7597204"
19263 "2699" "7597164"
19267 "2699" "7597165"
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 201

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 201 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"agency.txt" "agency_name" "UŽDAROJI AKCINĖ BENDROVĖ \"EMTRA\"" 40
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 55
"routes.txt" "route_long_name" "JONAVA-ŠĖTA" 57
"routes.txt" "route_long_name" "ŠVENČIONYS-ŠUTONYS-ŠVENČIONYS" 86
"routes.txt" "route_long_name" "ŠVENČIONYS-PABRADĖ-VILNIUS-PABRADĖ-ŠVENČIONYS" 193
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 216
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS, KANDRĖNUS, LAIČIUS" 274
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 306
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 307
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 440
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 446
"routes.txt" "route_long_name" "ŠVENČIONYS-LIUBIŠKĖ-TRŪDAI-ŠVENČIONĖLIAI-ŠVENČIONYS" 489
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER KANDRĖNUS, LAIČIUS" 513
"routes.txt" "route_long_name" "VILNIUS (SPAUDOS RŪMAI) - ZŪJUNAI" 534
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 589
"routes.txt" "route_long_name" "KUPIŠKIS – ŽADEIKIAI PER BAKŠĖNUS" 658
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 744
"routes.txt" "route_long_name" "JONAVA-RUKLA" 746
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 747
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 748
"routes.txt" "route_long_name" "KUPIŠKIS - ANTAŠAVA" 766
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 800
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 891
"routes.txt" "route_long_name" "KUPIŠKIS – BILIŪNAI PER TATKONIS" 909
"routes.txt" "route_long_name" "ŠVENČIONYS-ADUTIŠKIS-JAKELIAI-ADUTIŠKIS-ŠVENČIONYS" 956
"routes.txt" "route_long_name" "KUPIŠKIS – ŠIMONYS PER MIGONIS" 979
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 1045
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 1046
"routes.txt" "route_long_name" "KUPIŠKIS – PANEVĖŽYS" 1050
"routes.txt" "route_long_name" "KUPIŠKIS – SUBAČIAUS MST. PER LUKONIS" 1060
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 1094
"routes.txt" "route_long_name" "KUPIŠKIS – VAINIŪNIŠKIS (PER PALĖVENĖLĘ) – KUPIŠKIS" 1099
"routes.txt" "route_long_name" "KUPIŠKIS – LAIČIAI PER KANDRĖNUS, SKAPIŠKIO MSTL." 1106
"routes.txt" "route_long_name" "KUPIŠKIS – ALIZAVA PER PALĖVENĖLĘ – KUPIŠKIS" 1108
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 1113
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 1208
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 1211
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 1215
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 1218
"routes.txt" "route_long_name" "JONAVA-KULVA" 1219
"stops.txt" "stop_name" "140 km" 619
"stops.txt" "stop_name" "7-asis kilometras A" 1059
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus B" 1100
"stops.txt" "stop_name" "4-asis fortas B" 1138
"stops.txt" "stop_name" "VDU klasikinio ugdymo licėjus A" 1158
"stops.txt" "stop_name" "40 km" 2200
"stops.txt" "stop_name" "28 - as km" 2227
"stops.txt" "stop_name" "žieda" 2243
"stops.txt" "stop_name" "16-sis kilometras" 2307
"stops.txt" "stop_name" "9 kilometras" 2374
stop_too_far_from_shape WARNING 51

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 51 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.
1035 "3636" "45756" 3497 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
1036 "3651" "45771" 3526 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
905 "3653" "45773" 3527 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
4407 "26974" "7317012" 41312 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
4407 "26974" "7317012" 41313 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
4407 "26974" "7317012" 41328 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
2299 "10745" "432217" 14713 "8484" "Mokykla" [55.513561,26.317414] 128.25393944619788
6924 "29329" "7418310" 47375 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
11789 "29328" "7418309" 47352 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
17613 "37846" "7870668" 84114 "91654" "Kūlokai" [54.45108200000001,23.396507] 3297.0156004557466
6855 "9923" "432216" 14712 "9340" "Mokykla" [55.512857000000004,26.315831] 134.01174852768767
16174 "37814" "7870743" 85604 "91339" "Sūduva" [54.57502093577935,23.37188570151982] 108.83359346294479
12677 "18654" "3218451" 24843 "67434" "Geluva" [55.249732,23.511073] 140.46827403515317
5302 "32206" "7476583" 53346 "48065" "Troškūnų g." [55.521214350005486,25.097709664383384] 523.8519190658676
5302 "32206" "7476583" 53347 "48066" "Geležinkelio stotis" [55.526276,25.103853] 785.72734673045
5302 "32206" "7476583" 53348 "48068" "Kalno parduotuvė" [55.526598,25.099623999999995] 574.8082135251354
5302 "32206" "7476583" 53351 "48071" "Pušyno mikrorajonas" [55.521132,25.115296] 658.3695095777266
5302 "32206" "7476583" 53356 "48070" "Žiburio g." [55.525912999999996,25.113931000000004] 146.43308427108235
943 "3899" "46086" 3635 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1003 "3014" "43694" 2660 "5402" "Didžiasalis" [55.237513,26.192419] 182.66749741357972
5929 "29420" "7429613" 47897 "8013" "Balninkai" [55.293757,25.120737000000002] 147.47788595097236
4153 "22910" "4973791" 33425 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
1023 "4529" "46899" 4305 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
1032 "4527" "47691" 5336 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
992 "4528" "47692" 5337 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
12080 "14622" "7150732" 39612 "14754" "Naiviai" [55.84397975379556,25.145549112350125] 765.6219655883444
14639 "18184" "2933103" 24352 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
14371 "18185" "2933105" 24353 "24190" "Maldeniai" [56.08905,23.080025999999993] 114.55535215311666
1013 "2821" "45017" 3421 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14089 "29615" "7432118" 48441 "13220" "Laukuva" [55.621511000000005,22.239248000000003] 134.78370867362614
6535 "29616" "7432119" 48489 "13165" "Laukuva" [55.621733,22.238377] 137.2756450378002
13168 "21886" "7847213" 81375 "5846" "Grūtas" [54.032271447911626,24.074587772943918] 103.01117636409927
16575 "41495" "8055629" 260860 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
2985 "21885" "7846679" 74251 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
14106 "21887" "7847087" 79631 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
13190 "21891" "7846924" 77414 "5846" "Grūtas" [54.03229717708595,24.074616151675347] 103.32438751535979
14129 "21865" "7847347" 83026 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
13303 "21872" "7847048" 79040 "5846" "Grūtas" [54.03224770044385,24.07455770007112] 102.6030063596493
39 "3339" "46943" 4306 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
16407 "11705" "747606" 14871 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
3295 "6511" "54507" 8498 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
2891 "6509" "54501" 8444 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
3297 "6513" "54509" 8522 "5701" "Šedbarai" [55.653568,23.254761000000002] 109.0038755405544
12167 "29093" "7413976" 45238 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
12166 "29092" "7413975" 45208 "21366" "Vozbučiai" [54.262253,23.964486] 113.93775557849204
42 "5232" "48166" 5564 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
1014 "3514" "45563" 3444 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
903 "3537" "45591" 3469 "7459" "Alanta" [55.350266,25.293093999999996] 106.2887484714736
14197 "17131" "2515700" 22336 "16347" "Sudervė" [54.761036,25.063001999999997] 2603.225038082936
944 "3574" "45644" 3470 "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.
3070 "3645" "57657" 10664 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10663 "12152" "Jonaičiai" [55.34641499999999,21.570023]
3047 "3667" "57730" 10803 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10802 "13926" "Jonaičiai" [55.346103,21.568929]
3048 "3714" "57736" 10877 "13926" "Jonaičiai" [55.346103,21.568929] 10876 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
2545 "13808" "1228372" 17082 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 17081 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
16078 "17480" "2657524" 22725 "29683" "Daubiškiai" [56.22528167433049,22.65057036479163] 22724 "20968" "Daubiškiai" [56.22523157410785,22.649432606713006]
4160 "22910" "4973794" 33448 "44981" "Apušėliai" [56.058900282912056,23.196604001375526] 33447 "23941" "Žiogai" [56.04871914929978,23.214028627477276]
3044 "6591" "57635" 10324 "13926" "Jonaičiai" [55.346103,21.568929] 10323 "8212" "Laučiai" [55.34479686210668,21.558340567616426]
3102 "3554" "57639" 10380 "8212" "Laučiai" [55.34479686210668,21.558340567616426] 10379 "12152" "Jonaičiai" [55.34641499999999,21.570023]
6450 "29102" "7413991" 45332 "71231" "Žuvintai" [54.448579423202126,23.62330650767253] 45331 "71255" "Litvanciškai" [54.41436513808293,23.67340583550103]
4894 "40377" "8016002" 153515 "72301" "Kirlikai" [55.32834500402225,21.565359093761266] 153514 "97223" "Tarvydai I" [55.328604,21.56423]
2687 "40378" "8016003" 153524 "71683" "Tarvydai II" [55.31814711876975,21.598011981975805] 153523 "97223" "Tarvydai I" [55.328604,21.56423]
3141 "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