GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T16:22:28Z,
for the dataset file:///shared/carris-pt.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Email:
alex@busmaps.com
Feed Language:
Portuguese
Feed Start Date:
2025-12-02
Feed End Date:
2025-12-31

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. feed_info.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 164
  • Shapes: 304
  • Stops: 2307
  • Trips: 58967

Specification Compliance report

36 notices reported (0 errors, 36 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_far_stops WARNING 35

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.
29444 "102310-17189_20251202_190_0_17" "102310-190_0" 612.5316419941495 10.208860699902491 844195 0 "102310-1613" "Av. José Malhoa" "19:47:00" 844225 30 "102310-7905" "R. Laureano Oliveira" "19:47:00"
21877 "102310-51121_20251202_190_0_7" "102310-190_0" 612.5316419941495 10.208860699902491 619848 0 "102310-1613" "Av. José Malhoa" "12:25:00" 619878 30 "102310-7905" "R. Laureano Oliveira" "12:25:00"
2283 "102310-51238_20251202_190_0_9" "102310-190_0" 612.5316419941495 10.208860699902491 64605 0 "102310-1613" "Av. José Malhoa" "14:09:00" 64635 30 "102310-7905" "R. Laureano Oliveira" "14:09:00"
17860 "102310-17188_20251202_190_0_15" "102310-190_0" 612.5316419941495 10.208860699902491 503405 0 "102310-1613" "Av. José Malhoa" "18:03:00" 503435 30 "102310-7905" "R. Laureano Oliveira" "18:03:00"
49827 "102310-51121_20251202_190_0_13" "102310-190_0" 612.5316419941495 10.208860699902491 1451688 0 "102310-1613" "Av. José Malhoa" "17:37:00" 1451718 30 "102310-7905" "R. Laureano Oliveira" "17:37:00"
46508 "102310-17192_20251202_190_0_7" "102310-190_0" 612.5316419941495 10.208860699902491 1353491 0 "102310-1613" "Av. José Malhoa" "10:15:00" 1353521 30 "102310-7905" "R. Laureano Oliveira" "10:15:00"
21 "102310-17191_20251202_190_0_15" "102310-190_0" 612.5316419941495 10.208860699902491 703 0 "102310-1613" "Av. José Malhoa" "16:45:00" 733 30 "102310-7905" "R. Laureano Oliveira" "16:45:00"
28300 "102310-17192_20251202_190_0_13" "102310-190_0" 612.5316419941495 10.208860699902491 809868 0 "102310-1613" "Av. José Malhoa" "15:27:00" 809898 30 "102310-7905" "R. Laureano Oliveira" "15:27:00"
17857 "102310-17188_20251202_190_0_11" "102310-190_0" 612.5316419941495 10.208860699902491 503348 0 "102310-1613" "Av. José Malhoa" "14:35:00" 503378 30 "102310-7905" "R. Laureano Oliveira" "14:35:00"
2835 "102310-17189_20251202_190_0_9" "102310-190_0" 612.5316419941495 10.208860699902491 79206 0 "102310-1613" "Av. José Malhoa" "12:51:00" 79236 30 "102310-7905" "R. Laureano Oliveira" "12:51:00"
9426 "102310-17188_20251202_190_0_5" "102310-190_0" 612.5316419941495 10.208860699902491 263124 0 "102310-1613" "Av. José Malhoa" "09:23:00" 263154 30 "102310-7905" "R. Laureano Oliveira" "09:23:00"
15 "102310-17191_20251202_190_0_11" "102310-190_0" 612.5316419941495 10.208860699902491 484 0 "102310-1613" "Av. José Malhoa" "13:17:00" 514 30 "102310-7905" "R. Laureano Oliveira" "13:17:00"
33835 "102310-17192_20251202_190_0_9" "102310-190_0" 612.5316419941495 10.208860699902491 973211 0 "102310-1613" "Av. José Malhoa" "11:59:00" 973241 30 "102310-7905" "R. Laureano Oliveira" "11:59:00"
24924 "102310-17188_20251202_190_0_3" "102310-190_0" 612.5316419941495 10.208860699902491 711518 0 "102310-1613" "Av. José Malhoa" "07:35:00" 711548 30 "102310-7905" "R. Laureano Oliveira" "07:35:00"
6785 "102310-17193_20251202_190_0_2" "102310-190_0" 612.5316419941495 10.208860699902491 190339 0 "102310-1613" "Av. José Malhoa" "13:43:00" 190369 30 "102310-7905" "R. Laureano Oliveira" "13:43:00"
36468 "102310-51121_20251202_190_0_5" "102310-190_0" 612.5316419941495 10.208860699902491 1051253 0 "102310-1613" "Av. José Malhoa" "10:41:00" 1051283 30 "102310-7905" "R. Laureano Oliveira" "10:41:00"
49828 "102310-51121_20251202_190_0_11" "102310-190_0" 612.5316419941495 10.208860699902491 1451722 0 "102310-1613" "Av. José Malhoa" "15:53:00" 1451752 30 "102310-7905" "R. Laureano Oliveira" "15:53:00"
49826 "102310-51121_20251202_190_0_15" "102310-190_0" 612.5316419941495 10.208860699902491 1451654 0 "102310-1613" "Av. José Malhoa" "19:21:00" 1451684 30 "102310-7905" "R. Laureano Oliveira" "19:21:00"
11 "102310-17191_20251202_190_0_13" "102310-190_0" 612.5316419941495 10.208860699902491 335 0 "102310-1613" "Av. José Malhoa" "15:01:00" 365 30 "102310-7905" "R. Laureano Oliveira" "15:01:00"
21054 "102310-17189_20251202_190_0_7" "102310-190_0" 612.5316419941495 10.208860699902491 595579 0 "102310-1613" "Av. José Malhoa" "11:07:00" 595609 30 "102310-7905" "R. Laureano Oliveira" "11:07:00"
26 "102310-17191_20251202_190_0_19" "102310-190_0" 612.5316419941495 10.208860699902491 914 0 "102310-1613" "Av. José Malhoa" "20:12:00" 944 30 "102310-7905" "R. Laureano Oliveira" "20:12:00"
14812 "102310-17190_20251202_190_0_9" "102310-190_0" 612.5316419941495 10.208860699902491 416324 0 "102310-1613" "Av. José Malhoa" "11:33:00" 416354 30 "102310-7905" "R. Laureano Oliveira" "11:33:00"
51298 "102310-51121_20251202_190_0_3" "102310-190_0" 612.5316419941495 10.208860699902491 1494715 0 "102310-1613" "Av. José Malhoa" "08:57:00" 1494745 30 "102310-7905" "R. Laureano Oliveira" "08:57:00"
30973 "102310-17190_20251202_190_0_7" "102310-190_0" 612.5316419941495 10.208860699902491 889220 0 "102310-1613" "Av. José Malhoa" "09:49:00" 889250 30 "102310-7905" "R. Laureano Oliveira" "09:49:00"
56339 "102310-17192_20251202_190_0_5" "102310-190_0" 612.5316419941495 10.208860699902491 1645470 0 "102310-1613" "Av. José Malhoa" "08:31:00" 1645500 30 "102310-7905" "R. Laureano Oliveira" "08:31:00"
17 "102310-17191_20251202_190_0_17" "102310-190_0" 612.5316419941495 10.208860699902491 550 0 "102310-1613" "Av. José Malhoa" "18:29:00" 580 30 "102310-7905" "R. Laureano Oliveira" "18:29:00"
17855 "102310-17188_20251202_190_0_13" "102310-190_0" 612.5316419941495 10.208860699902491 503281 0 "102310-1613" "Av. José Malhoa" "16:19:00" 503311 30 "102310-7905" "R. Laureano Oliveira" "16:19:00"
4125 "102310-17191_20251202_190_0_5" "102310-190_0" 612.5316419941495 10.208860699902491 114597 0 "102310-1613" "Av. José Malhoa" "08:03:00" 114627 30 "102310-7905" "R. Laureano Oliveira" "08:03:00"
29435 "102310-17189_20251202_190_0_19" "102310-190_0" 612.5316419941495 10.208860699902491 843923 0 "102310-1613" "Av. José Malhoa" "21:30:00" 843953 30 "102310-7905" "R. Laureano Oliveira" "21:30:00"
14635 "102310-17192_20251202_190_0_3" "102310-190_0" 612.5316419941495 10.208860699902491 411398 0 "102310-1613" "Av. José Malhoa" "07:05:00" 411428 30 "102310-7905" "R. Laureano Oliveira" "07:05:00"
27775 "102310-17193_20251202_190_0_8" "102310-190_0" 612.5316419941495 10.208860699902491 795074 0 "102310-1613" "Av. José Malhoa" "18:55:00" 795104 30 "102310-7905" "R. Laureano Oliveira" "18:55:00"
54214 "102310-51238_20251202_190_0_17" "102310-190_0" 612.5316419941495 10.208860699902491 1581483 0 "102310-1613" "Av. José Malhoa" "21:04:00" 1581513 30 "102310-7905" "R. Laureano Oliveira" "21:04:00"
48873 "102310-17193_20251202_190_0_10" "102310-190_0" 612.5316419941495 10.208860699902491 1423928 0 "102310-1613" "Av. José Malhoa" "20:38:00" 1423958 30 "102310-7905" "R. Laureano Oliveira" "20:38:00"
28301 "102310-17192_20251202_190_0_15" "102310-190_0" 612.5316419941495 10.208860699902491 809902 0 "102310-1613" "Av. José Malhoa" "17:11:00" 809932 30 "102310-7905" "R. Laureano Oliveira" "17:11:00"
22307 "102310-17191_20251202_190_0_3" "102310-190_0" 612.5316419941495 10.208860699902491 632665 0 "102310-1613" "Av. José Malhoa" "06:35:00" 632695 30 "102310-7905" "R. Laureano Oliveira" "06:35:00"
feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

Dataset should cover at least the next 30 days of service.

At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally for as long as the operator is confident that the schedule will continue to be operated.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20251205" "20251231" "20260104"