autobus-comarca — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-07-25T05:26:26Z,
for the dataset file:///shared/autobus-comarca_2e7292c9.zip. No country code was provided.

Use this report alongside our documentation.

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. calendar_dates.txt
    3. routes.txt
    4. shapes.txt
    5. stop_times.txt
    6. stops.txt
    7. trips.txt

    Counts


    • Agencies: 0
    • Blocks: 0
    • Routes: 54
    • Shapes: 114
    • Stops: 559
    • Trips: 22491

    Specification Compliance report

    22534 notices reported (1 errors, 42 warnings, 22491 infos)

    Notice Code Severity Total
    invalid_url ERROR 1

    invalid_url

    A field contains a malformed URL.

    Definitions for valid URLs are quite vague. We perform strict validation using the Apache Commons UrlValidator.

    You can see more about this notice here.

    filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
    "agency.txt" 2 "agency_url" "https://www.infotuc.es/index.php/es//"
    leading_or_trailing_whitespaces WARNING 6

    leading_or_trailing_whitespaces

    The value in CSV file has leading or trailing whitespaces.

    This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

    The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

    You can see more about this notice here.

    filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
    "stops.txt" 524 "stop_name" "Burlada Pol. Mugazuri - Iturrondo "
    "stops.txt" 525 "stop_name" "Burlada Pol. Mugazuri - Iturrondo "
    "stops.txt" 542 "stop_name" "c/ Ezkaba nº 5 - 7 "
    "stops.txt" 550 "stop_name" " Burlada Avda. María Azcárate (tanatorio) "
    "stops.txt" 551 "stop_name" " Burlada Avda. María Azcárate (instituto)"
    "stops.txt" 555 "stop_name" " Huarte c/ Amsterdam (c/ Roma) (HUARTE)"
    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"
    mixed_case_recommended_field WARNING 34

    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.

    filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
    "routes.txt" "route_long_name" "CIZUR MENOR-UNIVERSIDADES" 17
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 3357
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 3363
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 3369
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 3494
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 3500
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 3978
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 3984
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 3990
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 4399
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 4405
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 4411
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 5659
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 5665
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 5671
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 5770
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 5776
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 6102
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 6108
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 6114
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 6343
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 6349
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 6355
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 20609
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 20615
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 20621
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 20746
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 20752
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 21230
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 21236
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 21242
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 21651
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 21657
    "trips.txt" "trip_headsign" "GORRAIZ NOR-ITAR" 21663
    route_color_contrast WARNING 1

    route_color_contrast

    Insufficient route color contrast.

    A route's color and route_text_color should be contrasting.

    You can see more about this notice here.

    routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeColor (?) The faulty record's HTML route color. routeTextColor (?) The faulty record's HTML route text color.
    "76" 36 "#C0C0C0" "#FFFFFF"
    unsorted_stop_times INFO 22491

    unsorted_stop_times

    Stop times are not sorted by trip_id and stop_sequence.

    'stop_times.txt' entries for a given trip are not sorted by stop_sequence, or are not contiguous in the file.

    You can see more about this notice here.

    Only the first 50 of 22491 affected records are displayed below.

    tripId (?) The faulty record's trip_id. startCsvRowNumber (?) CSV row number of the first stop_times entry for this trip. endCsvRowNumber (?) CSV row number of the last stop_times entry for this trip.
    "202607301320000150031143" 301411 339762
    "2026073108100001100421848" 357376 403551
    "2026072910100001100421785" 248572 292380
    "202607260505000640031135" 58840 89467
    "202607272330000660011171" 143767 166272
    "202607251820000060031990" 58118 94602
    "2026072713300000900111108" 141755 180187
    "20260727153500023001199" 142571 187265
    "202607241345000010031578" 631 41691
    "2026072412000001200112592" 664 45023
    "202607302200000150011626" 302053 338056
    "2026072719400001600421074" 143124 193477
    "2026072808290001200222380" 194469 233007
    "2026072918480001200112626" 249806 290537
    "202607260745000010051195" 108023 128487
    "2026072713100000400222202" 141565 193242
    "2026073111230001900222548" 357176 411574
    "202608011930000170012917" 414094 453329
    "2026072908100001600421051" 248114 299537
    "202607261905000250011772" 108628 131473
    "2026072721100001800224943" 143273 192015
    "202607260215000650031293" 58728 91368
    "2026072814150000900111111" 195077 233475
    "2026072912050001100311744" 248575 289929
    "202607271107000060042626" 141831 173770
    "2026073020130001800224932" 302640 354231
    "2026072709170000300112803" 142300 188230
    "202608011140000060031970" 412916 449790
    "202607291820000200011185" 249708 289099
    "2026072420300000800111879" 2125 31359
    "202607310850000200022316" 357527 399663
    "202607310330000610011280" 303338 351516
    "202607242050000200022328" 2402 44474
    "2026073022300001700211433" 303149 329528
    "202608020130000660011203" 414546 436365
    "2026072409260000400222188" 279 55254
    "2026072809430002100111837" 194529 240986
    "202607241735000140042146" 1488 23126
    "2026072417300001700121383" 2019 45666
    "202607270835000100011617" 141417 186824
    "2026072710490002100111843" 141545 187904
    "202607260030000610022291" 56680 102121
    "202607252125000100011582" 57872 100692
    "2026080108460001800113156" 412521 458027
    "202608011800000160011974" 413837 459841
    "2026072612300000700212258" 107904 141208
    "202608011250000140011269" 412765 429916
    "202607281510000050011235" 196137 234161
    "202608010230000660011193" 359420 383172
    "202607301920000100022815" 302649 349373