GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T19:29:58Z,
for the dataset file:///shared/craiovaratcraiova.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:
Romanian
Feed Start Date:
2024-08-02
Feed End Date:
2025-12-31

Files included

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

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 21
  • Shapes: 30
  • Stops: 329
  • Trips: 1027

Specification Compliance report

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

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 16

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.
27 "104002-41_2_1" "104002-41" 141.80812143166776 2.363468690527796 524 22 "104002-397" "Pod Amaradia" "06:41:30" 525 23 "104002-399" "Poarta 2" "06:41:30"
39 "104002-41_2_13" "104002-41" 141.80812143166776 2.363468690527796 836 22 "104002-397" "Pod Amaradia" "18:16:30" 837 23 "104002-399" "Poarta 2" "18:16:30"
32 "104002-41_2_6" "104002-41" 141.80812143166776 2.363468690527796 654 22 "104002-397" "Pod Amaradia" "11:16:30" 655 23 "104002-399" "Poarta 2" "11:16:30"
29 "104002-41_2_3" "104002-41" 141.80812143166776 2.363468690527796 576 22 "104002-397" "Pod Amaradia" "08:16:30" 577 23 "104002-399" "Poarta 2" "08:16:30"
34 "104002-41_2_8" "104002-41" 141.80812143166776 2.363468690527796 706 22 "104002-397" "Pod Amaradia" "13:16:30" 707 23 "104002-399" "Poarta 2" "13:16:30"
36 "104002-41_2_10" "104002-41" 141.80812143166776 2.363468690527796 758 22 "104002-397" "Pod Amaradia" "15:16:30" 759 23 "104002-399" "Poarta 2" "15:16:30"
30 "104002-41_2_4" "104002-41" 141.80812143166776 2.363468690527796 602 22 "104002-397" "Pod Amaradia" "09:16:30" 603 23 "104002-399" "Poarta 2" "09:16:30"
28 "104002-41_2_2" "104002-41" 141.80812143166776 2.363468690527796 550 22 "104002-397" "Pod Amaradia" "07:16:30" 551 23 "104002-399" "Poarta 2" "07:16:30"
31 "104002-41_2_5" "104002-41" 141.80812143166776 2.363468690527796 628 22 "104002-397" "Pod Amaradia" "10:16:30" 629 23 "104002-399" "Poarta 2" "10:16:30"
33 "104002-41_2_7" "104002-41" 141.80812143166776 2.363468690527796 680 22 "104002-397" "Pod Amaradia" "12:16:30" 681 23 "104002-399" "Poarta 2" "12:16:30"
41 "104002-41_2_15" "104002-41" 141.80812143166776 2.363468690527796 888 22 "104002-397" "Pod Amaradia" "20:16:30" 889 23 "104002-399" "Poarta 2" "20:16:30"
40 "104002-41_2_14" "104002-41" 141.80812143166776 2.363468690527796 862 22 "104002-397" "Pod Amaradia" "19:21:30" 863 23 "104002-399" "Poarta 2" "19:21:30"
26 "104002-41_2_0" "104002-41" 141.80812143166776 2.363468690527796 498 22 "104002-397" "Pod Amaradia" "06:16:30" 499 23 "104002-399" "Poarta 2" "06:16:30"
35 "104002-41_2_9" "104002-41" 141.80812143166776 2.363468690527796 732 22 "104002-397" "Pod Amaradia" "14:16:30" 733 23 "104002-399" "Poarta 2" "14:16:30"
37 "104002-41_2_11" "104002-41" 141.80812143166776 2.363468690527796 784 22 "104002-397" "Pod Amaradia" "16:16:30" 785 23 "104002-399" "Poarta 2" "16:16:30"
38 "104002-41_2_12" "104002-41" 141.80812143166776 2.363468690527796 810 22 "104002-397" "Pod Amaradia" "17:16:30" 811 23 "104002-399" "Poarta 2" "17:16:30"
fast_travel_between_far_stops WARNING 16

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.
27 "104002-41_2_1" "104002-41" 151.33082881797085 10.088721921198056 505 3 "104002-371" "Mat" "06:37:30" 523 21 "104002-395" "Clf" "06:41:30"
39 "104002-41_2_13" "104002-41" 151.33082881797085 10.088721921198056 817 3 "104002-371" "Mat" "18:12:30" 835 21 "104002-395" "Clf" "18:16:30"
32 "104002-41_2_6" "104002-41" 151.33082881797085 10.088721921198056 635 3 "104002-371" "Mat" "11:12:30" 653 21 "104002-395" "Clf" "11:16:30"
29 "104002-41_2_3" "104002-41" 151.33082881797085 10.088721921198056 557 3 "104002-371" "Mat" "08:12:30" 575 21 "104002-395" "Clf" "08:16:30"
34 "104002-41_2_8" "104002-41" 151.33082881797085 10.088721921198056 687 3 "104002-371" "Mat" "13:12:30" 705 21 "104002-395" "Clf" "13:16:30"
36 "104002-41_2_10" "104002-41" 151.33082881797085 10.088721921198056 739 3 "104002-371" "Mat" "15:12:30" 757 21 "104002-395" "Clf" "15:16:30"
30 "104002-41_2_4" "104002-41" 151.33082881797085 10.088721921198056 583 3 "104002-371" "Mat" "09:12:30" 601 21 "104002-395" "Clf" "09:16:30"
28 "104002-41_2_2" "104002-41" 151.33082881797085 10.088721921198056 531 3 "104002-371" "Mat" "07:12:30" 549 21 "104002-395" "Clf" "07:16:30"
31 "104002-41_2_5" "104002-41" 151.33082881797085 10.088721921198056 609 3 "104002-371" "Mat" "10:12:30" 627 21 "104002-395" "Clf" "10:16:30"
33 "104002-41_2_7" "104002-41" 151.33082881797085 10.088721921198056 661 3 "104002-371" "Mat" "12:12:30" 679 21 "104002-395" "Clf" "12:16:30"
41 "104002-41_2_15" "104002-41" 151.33082881797085 10.088721921198056 869 3 "104002-371" "Mat" "20:12:30" 887 21 "104002-395" "Clf" "20:16:30"
40 "104002-41_2_14" "104002-41" 151.33082881797085 10.088721921198056 843 3 "104002-371" "Mat" "19:17:30" 861 21 "104002-395" "Clf" "19:21:30"
26 "104002-41_2_0" "104002-41" 151.33082881797085 10.088721921198056 479 3 "104002-371" "Mat" "06:12:30" 497 21 "104002-395" "Clf" "06:16:30"
35 "104002-41_2_9" "104002-41" 151.33082881797085 10.088721921198056 713 3 "104002-371" "Mat" "14:12:30" 731 21 "104002-395" "Clf" "14:16:30"
37 "104002-41_2_11" "104002-41" 151.33082881797085 10.088721921198056 765 3 "104002-371" "Mat" "16:12:30" 783 21 "104002-395" "Clf" "16:16:30"
38 "104002-41_2_12" "104002-41" 151.33082881797085 10.088721921198056 791 3 "104002-371" "Mat" "17:12:30" 809 21 "104002-395" "Clf" "17:16:30"
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"