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Enhanced Validation Report

sillages — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-23T15:19:41Z,
for the dataset file:///shared/sillages_9cfb3dcf.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Grasse Sillages Réseau scolaire
- website: https://sillages.paysdegrasse.fr/
- phone number:
- email: Not provided

Feed Info

Publisher Name:
Busmaps.com: Publisher URL:
https://busmaps.com: Feed Email:
alex@busmaps.com: Feed Language:
French: Feed Start Date:
2025-09-01: Feed End Date:
2026-07-03: Service Window:
2025-09-01 to 2026-07-03 (?) 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
feed_info.txt
routes.txt
shapes.txt
stop_times.txt
stops.txt
trips.txt

Counts

Agencies: 1
Blocks: 36
Routes: 36
Shapes: 55
Stops: 1193
Trips: 217

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

ShapesFeed InformationRoute ColorsHeadsignsStops Wheelchair AccessibilityTrips Wheelchair AccessibilityBike AllowedLocation Types

Specification Compliance report

69 notices reported (50 errors, 19 warnings, 0 infos)

Notice Code Severity Total

block_trips_with_overlapping_stop_times ERROR 50

block_trips_with_overlapping_stop_times

Trips with the same block id have overlapping stop times.

You can see more about this notice here.

csvRowNumberA (?) The row number from `trips.txt` of the first faulty trip.	tripIdA (?) The id of first faulty trip.	serviceIdA (?) The service id of the first faulty trip.	csvRowNumberB (?) The row number from `trips.txt` of the second faulty trip.	tripIdB (?) The id of the other faulty trip.	serviceIdB (?) The service id of the other faulty trip.	blockId (?) The `trips.block_id` of the overlapping trip.	intersection (?) The overlapping period.
99	"849-16S\|24000053:T1\|7:40:00"	"849-SCO_LMmJV"	100	"849-16S\|24000053:T2\|7:50:00"	"849-SCO_LMmJV"	"16S\|TAC"	"20250901"
99	"849-16S\|24000053:T1\|7:40:00"	"849-SCO_LMmJV"	101	"849-16S\|24000053:T3\|7:55:00"	"849-SCO_LMmJV"	"16S\|TAC"	"20250901"
100	"849-16S\|24000053:T2\|7:50:00"	"849-SCO_LMmJV"	101	"849-16S\|24000053:T3\|7:55:00"	"849-SCO_LMmJV"	"16S\|TAC"	"20250901"
102	"849-16S\|24000053:T4\|8:40:00"	"849-SCO_LMmJV"	103	"849-16S\|24000053:T5\|8:55:00"	"849-SCO_LMmJV"	"16S\|TAC"	"20250901"
105	"849-16S\|24000031:T2\|13:40:00"	"849-SCO_Mer"	104	"849-16S\|24000031:T1\|13:40:00"	"849-SCO_Mer"	"16S\|TAC"	"20250903"
107	"849-16S\|24000031:T5\|16:10:00"	"849-SCO_LM_JV"	106	"849-16S\|24000031:T4\|16:10:00"	"849-SCO_LM_JV"	"16S\|TAC"	"20250901"
108	"849-16S\|24000031:T6\|17:10:00"	"849-SCO_LM_JV"	109	"849-16S\|24000031:T7\|17:10:00"	"849-SCO_LM_JV"	"16S\|TAC"	"20250901"
86	"849-14S\|24000052:T2\|7:50:00"	"849-SCO_LM_JV"	87	"849-14S\|24000052:T3\|8:15:00"	"849-SCO_LMmJV"	"14S\|SAM"	"20250901"
90	"849-14S\|24000035:T3\|16:45:00"	"849-SCO_LM_JV"	91	"849-14S\|24000035:T4\|17:10:00"	"849-SCO_LM_JV"	"14S\|SAM"	"20250901"
72	"849-12S\|24000057:T1\|7:20:00"	"849-SCO_LMmJV"	73	"849-12S\|24000057:T2\|7:25:00"	"849-SCO_LMmJV"	"12S\|BELTRAME"	"20250901"
74	"849-12S\|24000057:T3\|8:00:00"	"849-SCO_LM_JV"	75	"849-12S\|24000057:T4\|8:15:00"	"849-SCO_LMmJV"	"12S\|BELTRAME"	"20250901"
76	"849-12S\|24000034:T1\|12:10:00"	"849-SCO_Mer"	77	"849-12S\|24000034:T2\|12:10:00"	"849-SCO_Mer"	"12S\|BELTRAME"	"20250903"
78	"849-12S\|24000034:T3\|16:10:00"	"849-SCO_LM_JV"	79	"849-12S\|24000034:T4\|16:35:00"	"849-SCO_LM_JV"	"12S\|BELTRAME"	"20250901"
81	"849-12S\|24000034:T6\|17:10:00"	"849-SCO_LM_JV"	80	"849-12S\|24000034:T5\|17:10:00"	"849-SCO_LM_JV"	"12S\|BELTRAME"	"20250901"
55	"849-10S\|24000065:T1\|7:10:00"	"849-SCO_LMmJV"	56	"849-10S\|24000065:T2\|7:20:00"	"849-SCO_LMmJV"	"10S\|SAM"	"20250901"
55	"849-10S\|24000065:T1\|7:10:00"	"849-SCO_LMmJV"	57	"849-10S\|24000065:T3\|7:30:00"	"849-SCO_LMmJV"	"10S\|SAM"	"20250901"
56	"849-10S\|24000065:T2\|7:20:00"	"849-SCO_LMmJV"	57	"849-10S\|24000065:T3\|7:30:00"	"849-SCO_LMmJV"	"10S\|SAM"	"20250901"
58	"849-10S\|24000065:T4\|8:10:00"	"849-SCO_LMmJV"	59	"849-10S\|24000065:T5\|8:30:00"	"849-SCO_LMmJV"	"10S\|SAM"	"20250901"
60	"849-10S\|24000079:T1\|12:10:00"	"849-SCO_Mer"	61	"849-10S\|24000079:T2\|12:10:00"	"849-SCO_Mer"	"10S\|SAM"	"20250903"
60	"849-10S\|24000079:T1\|12:10:00"	"849-SCO_Mer"	62	"849-10S\|24000079:T3\|12:10:00"	"849-SCO_Mer"	"10S\|SAM"	"20250903"
61	"849-10S\|24000079:T2\|12:10:00"	"849-SCO_Mer"	62	"849-10S\|24000079:T3\|12:10:00"	"849-SCO_Mer"	"10S\|SAM"	"20250903"
63	"849-10S\|24000079:T4\|16:10:00"	"849-SCO_LM_JV"	64	"849-10S\|24000079:T5\|16:10:00"	"849-SCO_LM_JV"	"10S\|SAM"	"20250901"
63	"849-10S\|24000079:T4\|16:10:00"	"849-SCO_LM_JV"	65	"849-10S\|24000079:T6\|16:10:00"	"849-SCO_LM_JV"	"10S\|SAM"	"20250901"
64	"849-10S\|24000079:T5\|16:10:00"	"849-SCO_LM_JV"	65	"849-10S\|24000079:T6\|16:10:00"	"849-SCO_LM_JV"	"10S\|SAM"	"20250901"
66	"849-10S\|24000079:T7\|17:10:00"	"849-SCO_LM_JV"	67	"849-10S\|24000079:T8\|17:10:00"	"849-SCO_LM_JV"	"10S\|SAM"	"20250901"
66	"849-10S\|24000079:T7\|17:10:00"	"849-SCO_LM_JV"	68	"849-10S\|24000079:T9\|17:10:00"	"849-SCO_LM_JV"	"10S\|SAM"	"20250901"
67	"849-10S\|24000079:T8\|17:10:00"	"849-SCO_LM_JV"	68	"849-10S\|24000079:T9\|17:10:00"	"849-SCO_LM_JV"	"10S\|SAM"	"20250901"
122	"849-18S\|24000049:T1\|7:00:00"	"849-SCO_LMmJV"	123	"849-18S\|24000049:T2\|7:00:00"	"849-SCO_LMmJV"	"18S\|SAM"	"20250901"
124	"849-18S\|24000033:T1\|12:10:00"	"849-SCO_Mer"	125	"849-18S\|24000033:T2\|13:10:00"	"849-SCO_Mer"	"18S\|SAM"	"20250903"
126	"849-18S\|24000033:T3\|16:10:00"	"849-SCO_LM_JV"	127	"849-18S\|24000033:T4\|17:10:00"	"849-SCO_LM_JV"	"18S\|SAM"	"20250901"
111	"849-17S\|24000078:T2\|6:40:00"	"849-SCO_Mer"	113	"849-17S\|24000078:T4\|6:45:00"	"849-SCO_Mer"	"17S\|LMUS"	"20250903"
111	"849-17S\|24000078:T2\|6:40:00"	"849-SCO_Mer"	114	"849-17S\|24000078:T5\|7:35:00"	"849-SCO_LMmJV"	"17S\|LMUS"	"20250903"
112	"849-17S\|24000078:T3\|6:40:00"	"849-SCO_LM_JV"	110	"849-17S\|24000078:T1\|6:40:00"	"849-SCO_LM_JV"	"17S\|LMUS"	"20250901"
112	"849-17S\|24000078:T3\|6:40:00"	"849-SCO_LM_JV"	114	"849-17S\|24000078:T5\|7:35:00"	"849-SCO_LMmJV"	"17S\|LMUS"	"20250901"
110	"849-17S\|24000078:T1\|6:40:00"	"849-SCO_LM_JV"	114	"849-17S\|24000078:T5\|7:35:00"	"849-SCO_LMmJV"	"17S\|LMUS"	"20250901"
113	"849-17S\|24000078:T4\|6:45:00"	"849-SCO_Mer"	114	"849-17S\|24000078:T5\|7:35:00"	"849-SCO_LMmJV"	"17S\|LMUS"	"20250903"
115	"849-17S\|24000094:T1\|12:10:00"	"849-SCO_Mer"	116	"849-17S\|24000094:T2\|12:15:00"	"849-SCO_Mer"	"17S\|LMUS"	"20250903"
119	"849-17S\|24000094:T5\|17:10:00"	"849-SCO_LM_JV"	120	"849-17S\|24000094:T6\|17:15:00"	"849-SCO_LM_JV"	"17S\|LMUS"	"20250901"
27	"849-5S\|24000091:T2\|6:50:00"	"849-SCO_LMmJV"	26	"849-5S\|24000091:T1\|7:05:00"	"849-SCO_LMmJV"	"5S\|BELTRAME"	"20250901"
27	"849-5S\|24000091:T2\|6:50:00"	"849-SCO_LMmJV"	28	"849-5S\|24000091:T3\|7:45:00"	"849-SCO_LMmJV"	"5S\|BELTRAME"	"20250901"
26	"849-5S\|24000091:T1\|7:05:00"	"849-SCO_LMmJV"	28	"849-5S\|24000091:T3\|7:45:00"	"849-SCO_LMmJV"	"5S\|BELTRAME"	"20250901"
29	"849-5S\|24000040:T1\|12:15:00"	"849-SCO_Mer"	30	"849-5S\|24000040:T2\|12:15:00"	"849-SCO_Mer"	"5S\|BELTRAME"	"20250903"
33	"849-5S\|24000040:T5\|17:15:00"	"849-SCO_LM_JV"	34	"849-5S\|24000040:T6\|17:15:00"	"849-SCO_LM_JV"	"5S\|BELTRAME"	"20250901"
7	"849-2S\|24000044:T1\|6:35:00"	"849-SCO_LM_JV"	8	"849-2S\|24000044:T2\|6:40:00"	"849-SCO_LM_JV"	"2S\|BELTRAME"	"20250901"
9	"849-2S\|24000044:T3\|6:40:00"	"849-SCO_Mer"	10	"849-2S\|24000044:T4\|6:45:00"	"849-SCO_Mer"	"2S\|BELTRAME"	"20250903"
8	"849-2S\|24000044:T2\|6:40:00"	"849-SCO_LM_JV"	11	"849-2S\|24000044:T5\|7:45:00"	"849-SCO_LMmJV"	"2S\|BELTRAME"	"20250901"
13	"849-2S\|24000050:T2\|12:10:00"	"849-SCO_Mer"	12	"849-2S\|24000050:T1\|12:10:00"	"849-SCO_Mer"	"2S\|BELTRAME"	"20250903"
16	"849-2S\|24000050:T5\|17:10:00"	"849-SCO_LM_JV"	17	"849-2S\|24000050:T6\|17:10:00"	"849-SCO_LM_JV"	"2S\|BELTRAME"	"20250901"
93	"849-15S\|24000075:T2\|7:55:00"	"849-SCO_LMmJV"	94	"849-15S\|24000075:T3\|8:05:00"	"849-SCO_LMmJV"	"15S\|SAM"	"20250901"
97	"849-15S\|24000093:T3\|16:45:00"	"849-SCO_LM_JV"	98	"849-15S\|24000093:T4\|17:10:00"	"849-SCO_LM_JV"	"15S\|SAM"	"20250901"

mixed_case_recommended_field WARNING 19

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"	"22sa"	23
"routes.txt"	"route_short_name"	"22sb"	24
"routes.txt"	"route_short_name"	"27bis"	29
"routes.txt"	"route_short_name"	"28sbis"	31
"trips.txt"	"trip_short_name"	"22sa-001"	138
"trips.txt"	"trip_short_name"	"22sa-002"	139
"trips.txt"	"trip_short_name"	"22sa-004"	140
"trips.txt"	"trip_short_name"	"22sb-001"	141
"trips.txt"	"trip_short_name"	"22sb-003"	142
"trips.txt"	"trip_short_name"	"22sb-002"	143
"trips.txt"	"trip_short_name"	"22sb-004"	144
"trips.txt"	"trip_short_name"	"27sbis-001"	167
"trips.txt"	"trip_short_name"	"27sbis-002"	168
"trips.txt"	"trip_short_name"	"27sbis-004"	169
"trips.txt"	"trip_short_name"	"27sbis-006"	170
"trips.txt"	"trip_short_name"	"28sbis-001"	176
"trips.txt"	"trip_short_name"	"28sbis-002"	177
"trips.txt"	"trip_short_name"	"28sbis-004"	178
"trips.txt"	"trip_short_name"	"28sbis-006"	179