usa-tarta — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-22T15:41:53Z,
for the dataset file:///shared/usa-tarta_a2be65a0.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Specification Compliance report

1528 notices reported (0 errors, 1528 warnings, 0 infos)

Notice Code	Severity	Total
fast_travel_between_consecutive_stops	WARNING	88
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. Only the first 50 of 88 affected records are displayed below. 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. 1080 "1527-862151773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 54828 0 "1527-9002" "Promedica Wellness Layover No Pickup" "12:35:00" 54829 1 "1527-9001" "Promedica Wellness Ib" "12:35:01" 1278 "1527-862001773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 65516 0 "1527-9002" "Promedica Wellness Layover No Pickup" "12:35:00" 65517 1 "1527-9001" "Promedica Wellness Ib" "12:35:01" 1080 "1527-862151773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 54829 1 "1527-9001" "Promedica Wellness Ib" "12:35:01" 54830 2 "1527-2211" "Monroe & Corey Cove Se" "12:35:02" 1278 "1527-862001773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 65517 1 "1527-9001" "Promedica Wellness Ib" "12:35:01" 65518 2 "1527-2211" "Monroe & Corey Cove Se" "12:35:02" 356 "1527-862141773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 17959 0 "1527-9002" "Promedica Wellness Layover No Pickup" "11:35:00" 17960 1 "1527-9001" "Promedica Wellness Ib" "11:35:01" 534 "1527-861991773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 27337 0 "1527-9002" "Promedica Wellness Layover No Pickup" "11:35:00" 27338 1 "1527-9001" "Promedica Wellness Ib" "11:35:01" 356 "1527-862141773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 17960 1 "1527-9001" "Promedica Wellness Ib" "11:35:01" 17961 2 "1527-2211" "Monroe & Corey Cove Se" "11:35:02" 534 "1527-861991773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 27338 1 "1527-9001" "Promedica Wellness Ib" "11:35:01" 27339 2 "1527-2211" "Monroe & Corey Cove Se" "11:35:02" 1284 "1527-862831773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 65912 0 "1527-9002" "Promedica Wellness Layover No Pickup" "12:02:00" 65913 1 "1527-9001" "Promedica Wellness Ib" "12:02:01" 1284 "1527-862831773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 65913 1 "1527-9001" "Promedica Wellness Ib" "12:02:01" 65914 2 "1527-2211" "Monroe & Corey Cove Se" "12:02:02" 1084 "1527-862811773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 55092 0 "1527-9002" "Promedica Wellness Layover No Pickup" "10:02:00" 55093 1 "1527-9001" "Promedica Wellness Ib" "10:02:01" 1084 "1527-862811773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 55093 1 "1527-9001" "Promedica Wellness Ib" "10:02:01" 55094 2 "1527-2211" "Monroe & Corey Cove Se" "10:02:02" 357 "1527-862171773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 18025 0 "1527-9002" "Promedica Wellness Layover No Pickup" "14:35:00" 18026 1 "1527-9001" "Promedica Wellness Ib" "14:35:01" 535 "1527-862021773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 27403 0 "1527-9002" "Promedica Wellness Layover No Pickup" "14:35:00" 27404 1 "1527-9001" "Promedica Wellness Ib" "14:35:01" 357 "1527-862171773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 18026 1 "1527-9001" "Promedica Wellness Ib" "14:35:01" 18027 2 "1527-2211" "Monroe & Corey Cove Se" "14:35:02" 535 "1527-862021773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 27404 1 "1527-9001" "Promedica Wellness Ib" "14:35:01" 27405 2 "1527-2211" "Monroe & Corey Cove Se" "14:35:02" 536 "1527-862101773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 27469 0 "1527-9002" "Promedica Wellness Layover No Pickup" "07:35:00" 27470 1 "1527-9001" "Promedica Wellness Ib" "07:35:01" 1075 "1527-861951773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 54498 0 "1527-9002" "Promedica Wellness Layover No Pickup" "07:35:00" 54499 1 "1527-9001" "Promedica Wellness Ib" "07:35:01" 536 "1527-862101773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 27470 1 "1527-9001" "Promedica Wellness Ib" "07:35:01" 27471 2 "1527-2211" "Monroe & Corey Cove Se" "07:35:02" 1075 "1527-861951773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 54499 1 "1527-9001" "Promedica Wellness Ib" "07:35:01" 54500 2 "1527-2211" "Monroe & Corey Cove Se" "07:35:02" 354 "1527-862081773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 17827 0 "1527-9002" "Promedica Wellness Layover No Pickup" "20:05:00" 17828 1 "1527-9001" "Promedica Wellness Ib" "20:05:01" 359 "1527-862931773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 18157 0 "1527-9002" "Promedica Wellness Layover No Pickup" "20:05:00" 18158 1 "1527-9001" "Promedica Wellness Ib" "20:05:01" 354 "1527-862081773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 17828 1 "1527-9001" "Promedica Wellness Ib" "20:05:01" 17829 2 "1527-2211" "Monroe & Corey Cove Se" "20:05:02" 359 "1527-862931773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 18158 1 "1527-9001" "Promedica Wellness Ib" "20:05:01" 18159 2 "1527-2211" "Monroe & Corey Cove Se" "20:05:02" 1078 "1527-862041773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 54696 0 "1527-9002" "Promedica Wellness Layover No Pickup" "16:35:00" 54697 1 "1527-9001" "Promedica Wellness Ib" "16:35:01" 539 "1527-862191773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 27667 0 "1527-9002" "Promedica Wellness Layover No Pickup" "16:35:00" 27668 1 "1527-9001" "Promedica Wellness Ib" "16:35:01" 1078 "1527-862041773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 54697 1 "1527-9001" "Promedica Wellness Ib" "16:35:01" 54698 2 "1527-2211" "Monroe & Corey Cove Se" "16:35:02" 539 "1527-862191773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 27668 1 "1527-9001" "Promedica Wellness Ib" "16:35:01" 27669 2 "1527-2211" "Monroe & Corey Cove Se" "16:35:02" 1083 "1527-862781773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 55026 0 "1527-9002" "Promedica Wellness Layover No Pickup" "07:02:00" 55027 1 "1527-9001" "Promedica Wellness Ib" "07:02:01" 1083 "1527-862781773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 55027 1 "1527-9001" "Promedica Wellness Ib" "07:02:01" 55028 2 "1527-2211" "Monroe & Corey Cove Se" "07:02:02" 1085 "1527-862841773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 55158 0 "1527-9002" "Promedica Wellness Layover No Pickup" "13:02:00" 55159 1 "1527-9001" "Promedica Wellness Ib" "13:02:01" 1085 "1527-862841773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 55159 1 "1527-9001" "Promedica Wellness Ib" "13:02:01" 55160 2 "1527-2211" "Monroe & Corey Cove Se" "13:02:02" 540 "1527-862791773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 27733 0 "1527-9002" "Promedica Wellness Layover No Pickup" "08:02:00" 27734 1 "1527-9001" "Promedica Wellness Ib" "08:02:01" 540 "1527-862791773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 27734 1 "1527-9001" "Promedica Wellness Ib" "08:02:01" 27735 2 "1527-2211" "Monroe & Corey Cove Se" "08:02:02" 1283 "1527-862201773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 65846 0 "1527-9002" "Promedica Wellness Layover No Pickup" "17:35:00" 65847 1 "1527-9001" "Promedica Wellness Ib" "17:35:01" 353 "1527-862051773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 17761 0 "1527-9002" "Promedica Wellness Layover No Pickup" "17:35:00" 17762 1 "1527-9001" "Promedica Wellness Ib" "17:35:01" 1283 "1527-862201773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 65847 1 "1527-9001" "Promedica Wellness Ib" "17:35:01" 65848 2 "1527-2211" "Monroe & Corey Cove Se" "17:35:02" 353 "1527-862051773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 17762 1 "1527-9001" "Promedica Wellness Ib" "17:35:01" 17763 2 "1527-2211" "Monroe & Corey Cove Se" "17:35:02" 1082 "1527-862211773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 54960 0 "1527-9002" "Promedica Wellness Layover No Pickup" "18:35:00" 54961 1 "1527-9001" "Promedica Wellness Ib" "18:35:01" 1280 "1527-862061773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 65648 0 "1527-9002" "Promedica Wellness Layover No Pickup" "18:35:00" 65649 1 "1527-9001" "Promedica Wellness Ib" "18:35:01" 543 "1527-862921773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 27931 0 "1527-9002" "Promedica Wellness Layover No Pickup" "18:35:00" 27932 1 "1527-9001" "Promedica Wellness Ib" "18:35:01" 1082 "1527-862211773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 54961 1 "1527-9001" "Promedica Wellness Ib" "18:35:01" 54962 2 "1527-2211" "Monroe & Corey Cove Se" "18:35:02" 1280 "1527-862061773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 65649 1 "1527-9001" "Promedica Wellness Ib" "18:35:01" 65650 2 "1527-2211" "Monroe & Corey Cove Se" "18:35:02" 543 "1527-862921773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 27932 1 "1527-9001" "Promedica Wellness Ib" "18:35:01" 27933 2 "1527-2211" "Monroe & Corey Cove Se" "18:35:02" 1286 "1527-862891773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 66044 0 "1527-9002" "Promedica Wellness Layover No Pickup" "05:02:00" 66045 1 "1527-9001" "Promedica Wellness Ib" "05:02:01" 1286 "1527-862891773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 66045 1 "1527-9001" "Promedica Wellness Ib" "05:02:01" 66046 2 "1527-2211" "Monroe & Corey Cove Se" "05:02:02" 1287 "1527-862911773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 66110 0 "1527-9002" "Promedica Wellness Layover No Pickup" "17:05:00" 66111 1 "1527-9001" "Promedica Wellness Ib" "17:05:01" 1287 "1527-862911773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 66111 1 "1527-9001" "Promedica Wellness Ib" "17:05:01" 66112 2 "1527-2211" "Monroe & Corey Cove Se" "17:05:02" 358 "1527-862801773067467772" "1527-0200" 235.42046567174103 0.06539457379770584 18091 0 "1527-9002" "Promedica Wellness Layover No Pickup" "09:02:00" 18092 1 "1527-9001" "Promedica Wellness Ib" "09:02:01" 358 "1527-862801773067467772" "1527-0200" 1241.9685287062691 0.3449912579739636 18092 1 "1527-9001" "Promedica Wellness Ib" "09:02:01" 18093 2 "1527-2211" "Monroe & Corey Cove Se" "09:02:02"
mixed_case_recommended_field	WARNING	1440
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 1440 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. "trips.txt" "trip_short_name" "05:11:00-1901wki" 2 "trips.txt" "trip_short_name" "19:30:00-1001sao" 3 "trips.txt" "trip_short_name" "15:00:00-1001sao" 4 "trips.txt" "trip_short_name" "10:30:00-1001sao" 5 "trips.txt" "trip_short_name" "06:39:00-1001sao" 6 "trips.txt" "trip_short_name" "09:00:00-1001suo" 7 "trips.txt" "trip_short_name" "18:29:00-204wko" 8 "trips.txt" "trip_short_name" "08:00:00-1201wko" 9 "trips.txt" "trip_short_name" "15:00:00-1202wko" 10 "trips.txt" "trip_short_name" "07:30:00-1201sao" 11 "trips.txt" "trip_short_name" "18:00:00-1201sao" 12 "trips.txt" "trip_short_name" "21:00:00-1203wko" 13 "trips.txt" "trip_short_name" "19:30:00-1201sao" 14 "trips.txt" "trip_short_name" "19:30:00-1201suo" 15 "trips.txt" "trip_short_name" "17:00:00-2702wko" 16 "trips.txt" "trip_short_name" "16:30:00-1201sao" 17 "trips.txt" "trip_short_name" "09:03:00-1201wki" 18 "trips.txt" "trip_short_name" "16:03:00-1202wki" 19 "trips.txt" "trip_short_name" "08:03:00-1202wki" 20 "trips.txt" "trip_short_name" "08:13:00-1201sai" 21 "trips.txt" "trip_short_name" "12:43:00-1201sai" 22 "trips.txt" "trip_short_name" "17:08:00-1201sai" 23 "trips.txt" "trip_short_name" "06:43:00-1201sui" 24 "trips.txt" "trip_short_name" "11:13:00-1201sui" 25 "trips.txt" "trip_short_name" "07:00:00-1503wko" 26 "trips.txt" "trip_short_name" "10:00:00-1503wko" 27 "trips.txt" "trip_short_name" "13:00:00-1503wko" 28 "trips.txt" "trip_short_name" "22:30:00-1504wko" 29 "trips.txt" "trip_short_name" "10:30:00-1502sao" 30 "trips.txt" "trip_short_name" "15:00:00-1501sao" 31 "trips.txt" "trip_short_name" "19:30:00-1502sao" 32 "trips.txt" "trip_short_name" "05:41:00-1502wki" 33 "trips.txt" "trip_short_name" "13:41:00-1503wki" 34 "trips.txt" "trip_short_name" "16:41:00-1503wki" 35 "trips.txt" "trip_short_name" "20:11:00-1504wki" 36 "trips.txt" "trip_short_name" "08:11:00-1502sai" 37 "trips.txt" "trip_short_name" "12:41:00-1501sai" 38 "trips.txt" "trip_short_name" "5:09:00-1602wki" 39 "trips.txt" "trip_short_name" "08:09:00-1602wki" 40 "trips.txt" "trip_short_name" "11:09:00-1602wki" 41 "trips.txt" "trip_short_name" "14:09:00-16053wki" 42 "trips.txt" "trip_short_name" "17:09:00-1605wki" 43 "trips.txt" "trip_short_name" "12:39:00-1602sai" 44 "trips.txt" "trip_short_name" "17:09:00-1601sai" 45 "trips.txt" "trip_short_name" "06:39:00-1602sui" 46 "trips.txt" "trip_short_name" "11:09:00-1601sui" 47 "trips.txt" "trip_short_name" "15:39:00-1601sui" 48 "trips.txt" "trip_short_name" "15:00:00-1501suo" 49 "trips.txt" "trip_short_name" "19:30:00-1501suo" 50 "trips.txt" "trip_short_name" "09:41:00-1501sui" 51