GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T16:01:22Z,
for the dataset file:///shared/gtfs-open-014228d0527290.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Intercom
- website: https://www.bus-intercom.com/
- phone number: +33386641700
- email: intercom@transdev.com

Feed Info

Publisher Name:
Busmaps.com: Publisher URL:
https://busmaps.com: Feed Email:
alex@busmaps.com: Feed Language:
French: Feed Start Date:
2025-09-08: Feed End Date:
2026-09-07: Service Window:
2025-09-08 to 2026-09-07 (?) The range of service dates covered by the feed, based on trips with an associated service_id in calendar.txt and/or calendar_dates.txt

Files included

agency.txt
calendar.txt
calendar_dates.txt
fare_attributes.txt
fare_rules.txt
feed_info.txt
routes.txt
shapes.txt
stop_times.txt
stops.txt
trips.txt

Counts

Agencies: 1
Blocks: 0
Routes: 36
Shapes: 108
Stops: 444
Trips: 298

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

Shapes Feed Information Fares V1 Route Colors Headsigns Stops Wheelchair Accessibility Trips Wheelchair Accessibility Bike Allowed Location Types

Specification Compliance report

14 notices reported (0 errors, 14 warnings, 0 infos)

Notice Code Severity Total

fast_travel_between_consecutive_stops WARNING 11

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.
120	"102884-119"	"102884-161"	716.8474092121867	0.19912428033671853	2019	25	"102884-1986"	"Paron Collège"	"10:50:00"	2020	26	"102884-1990"	"Complexe R. Treille"	"10:50:01"
213	"102884-212"	"102884-161"	716.8474092121867	0.19912428033671853	4018	25	"102884-1986"	"Paron Collège"	"18:06:00"	4019	26	"102884-1990"	"Complexe R. Treille"	"18:06:01"
251	"102884-277"	"102884-166"	1448.9696269272267	0.4024915630353408	4789	9	"102884-2131"	"Pierre de Coubertin"	"08:45:00"	4790	10	"102884-2122"	"08-mai-45"	"08:45:01"
147	"102884-146"	"102884-166"	607.6052376963906	0.16877923269344183	2527	6	"102884-2207"	"Marne"	"12:15:00"	2528	7	"102884-2123"	"08-mai-45"	"12:15:01"
255	"102884-330"	"102884-166"	607.6052376963906	0.16877923269344183	4881	6	"102884-2207"	"Marne"	"12:15:00"	4882	7	"102884-2123"	"08-mai-45"	"12:15:01"
180	"102884-179"	"102884-161"	716.8474092121867	0.19912428033671853	3330	22	"102884-1986"	"Paron Collège"	"15:51:00"	3331	23	"102884-1990"	"Complexe R. Treille"	"15:51:01"
164	"102884-163"	"102884-165"	717.7031951595471	0.19936199865542975	2934	8	"102884-2017"	"Rue du Clos"	"13:56:00"	2935	9	"102884-2011"	"Paul Bert"	"13:56:01"
82	"102884-81"	"102884-161"	716.8474092121867	0.19912428033671853	1223	22	"102884-1986"	"Paron Collège"	"07:47:00"	1224	23	"102884-1990"	"Complexe R. Treille"	"07:47:01"
227	"102884-226"	"102884-161"	819.3747396615155	0.22760409435042098	4286	1	"102884-1989"	"Complexe R. Treille"	"18:35:00"	4287	2	"102884-1985"	"Paron Collège"	"18:35:01"
223	"102884-222"	"102884-165"	767.6186784038506	0.21322741066773626	4208	1	"102884-2010"	"Paul Bert"	"18:02:00"	4209	2	"102884-2016"	"Rue du Clos"	"18:02:01"
129	"102884-128"	"102884-161"	819.3747396615155	0.22760409435042098	2155	1	"102884-1989"	"Complexe R. Treille"	"11:00:00"	2156	2	"102884-1985"	"Paron Collège"	"11:00:01"

mixed_case_recommended_field WARNING 3

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_short_name"	"1tad"	3
"stops.txt"	"stop_name"	"08-mai-45"	102
"stops.txt"	"stop_name"	"08-mai-45"	103