GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 5.0.1 at 2024-06-17T14:23:42Z,
for the dataset file:///tmp/1_in.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
GTFS.pro
Publisher URL:
https://gtfs.pro
Feed Language:
French
Feed Start Date:
2024-06-15
Feed End Date:
2024-07-07

Files included

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

Counts

  • Agencies: 1
  • Blocks: 1423
  • Routes: 94
  • Shapes: 0
  • Stops: 3763
  • Trips: 1423

GTFS Features included (?) GTFS features provide a standardized vocabulary to define and describe features that are officially adopted in GTFS.

TransfersFeed InformationRoute ColorsHeadsignsWheelchair AccessibilityLocation Types

Specification Compliance report

110 notices reported (0 errors, 110 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 6

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.
1191 "100972-3cf264d398c166c54446" "100972-1006282" 333.1162895147391 5.551938158578985 23419 36 "100972-2002789" "Faxe" "13:35:00" 23420 37 "100972-2003146" "Rue Principale" "13:35:00"
1200 "100972-5613c3c25de70e842df6" "100972-1006282" 333.1162895147391 5.551938158578985 23643 44 "100972-2002789" "Faxe" "17:33:00" 23644 45 "100972-2003146" "Rue Principale" "17:33:00"
380 "100972-841ecdef6a6c25549ee9" "100972-1006697" 252.10805502280155 4.201800917046692 7308 15 "100972-2003737" "Salle Polyvalente" "12:28:00" 7309 16 "100972-2003308" "Rue De Nassenwald" "12:28:00"
1192 "100972-21855698a7785d3395c3" "100972-1006282" 333.1162895147391 5.551938158578985 23472 45 "100972-2002789" "Faxe" "18:34:00" 23473 46 "100972-2003146" "Rue Principale" "18:34:00"
376 "100972-f488e9a666f56773cdc6" "100972-1006697" 252.10805502280155 4.201800917046692 7221 14 "100972-2003737" "Salle Polyvalente" "12:23:00" 7222 15 "100972-2003308" "Rue De Nassenwald" "12:23:00"
387 "100972-01c0875a8488cdbebb08" "100972-1006699" 261.87367209594544 4.3645612015990904 7439 9 "100972-2003096" "Centre" "12:45:00" 7440 10 "100972-2003313" "Kaltweiller" "12:45:00"
fast_travel_between_far_stops WARNING 8

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.
159 "100972-af2f45be41531defd9ac" "100972-1006282" 223.09647396896682 11.154823698448341 3127 7 "100972-2003146" "Rue Principale" "06:13:00" 3131 11 "100972-2003956" "Village" "06:15:00"
1191 "100972-3cf264d398c166c54446" "100972-1006282" 325.667826457778 10.855594215259268 23417 34 "100972-2002678" "Croisement" "13:34:00" 23420 37 "100972-2003146" "Rue Principale" "13:35:00"
1200 "100972-5613c3c25de70e842df6" "100972-1006282" 325.667826457778 10.855594215259268 23641 42 "100972-2002678" "Croisement" "17:32:00" 23644 45 "100972-2003146" "Rue Principale" "17:33:00"
380 "100972-841ecdef6a6c25549ee9" "100972-1006697" 641.6019705399741 10.693366175666235 7300 7 "100972-2002861" "Rue De Bitche" "12:28:00" 7309 16 "100972-2003308" "Rue De Nassenwald" "12:28:00"
1192 "100972-21855698a7785d3395c3" "100972-1006282" 325.667826457778 10.855594215259268 23470 43 "100972-2002678" "Croisement" "18:33:00" 23473 46 "100972-2003146" "Rue Principale" "18:34:00"
376 "100972-f488e9a666f56773cdc6" "100972-1006697" 641.6019705399741 10.693366175666235 7213 6 "100972-2002861" "Rue De Bitche" "12:23:00" 7222 15 "100972-2003308" "Rue De Nassenwald" "12:23:00"
387 "100972-01c0875a8488cdbebb08" "100972-1006699" 221.47892083962515 14.765261389308344 7436 6 "100972-2003093" "Eglise" "12:42:00" 7440 10 "100972-2003313" "Kaltweiller" "12:45:00"
170 "100972-7f3a88b913210e9454d5" "100972-1006282" 223.09647396896682 11.154823698448341 3311 7 "100972-2003146" "Rue Principale" "06:13:00" 3315 11 "100972-2003956" "Village" "06:15:00"
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 "20240617" "20240707" "20240717"
mixed_case_recommended_field WARNING 1

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.
"stops.txt" "stop_name" "anine" 376
unexpected_enum_value WARNING 94

unexpected_enum_value

An enum has an unexpected value.

You can see more about this notice here.

Only the first 50 of 94 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row number of the faulty record. fieldName (?) The name of the field where the error occurred. fieldValue (?) Faulty value.
"routes.txt" 2 "route_type" 204
"routes.txt" 3 "route_type" 204
"routes.txt" 4 "route_type" 204
"routes.txt" 5 "route_type" 204
"routes.txt" 6 "route_type" 204
"routes.txt" 7 "route_type" 204
"routes.txt" 8 "route_type" 204
"routes.txt" 9 "route_type" 204
"routes.txt" 10 "route_type" 204
"routes.txt" 11 "route_type" 204
"routes.txt" 12 "route_type" 204
"routes.txt" 13 "route_type" 204
"routes.txt" 14 "route_type" 204
"routes.txt" 15 "route_type" 204
"routes.txt" 16 "route_type" 204
"routes.txt" 17 "route_type" 204
"routes.txt" 18 "route_type" 204
"routes.txt" 19 "route_type" 204
"routes.txt" 20 "route_type" 204
"routes.txt" 21 "route_type" 204
"routes.txt" 22 "route_type" 204
"routes.txt" 23 "route_type" 204
"routes.txt" 24 "route_type" 204
"routes.txt" 25 "route_type" 204
"routes.txt" 26 "route_type" 204
"routes.txt" 27 "route_type" 204
"routes.txt" 28 "route_type" 204
"routes.txt" 29 "route_type" 204
"routes.txt" 30 "route_type" 204
"routes.txt" 31 "route_type" 204
"routes.txt" 32 "route_type" 204
"routes.txt" 33 "route_type" 204
"routes.txt" 34 "route_type" 204
"routes.txt" 35 "route_type" 204
"routes.txt" 36 "route_type" 204
"routes.txt" 37 "route_type" 204
"routes.txt" 38 "route_type" 204
"routes.txt" 39 "route_type" 204
"routes.txt" 40 "route_type" 204
"routes.txt" 41 "route_type" 204
"routes.txt" 42 "route_type" 204
"routes.txt" 43 "route_type" 204
"routes.txt" 44 "route_type" 204
"routes.txt" 45 "route_type" 204
"routes.txt" 46 "route_type" 204
"routes.txt" 47 "route_type" 204
"routes.txt" 48 "route_type" 204
"routes.txt" 49 "route_type" 204
"routes.txt" 50 "route_type" 204
"routes.txt" 51 "route_type" 204