sillages — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-07-10T20:49:31Z,
for the dataset file:///shared/sillages_907d63e0.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
Mecatran
Feed Email:
info@mecatran.com
Feed Language:
French
Feed Start Date:
2025-09-01
Feed End Date:
2026-07-03

Files included


  1. agency.txt
  2. attributions.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. feed_info.txt
  6. route_directions.txt
  7. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. transfers.txt
  12. trips.txt

Counts


  • Agencies: 1
  • Blocks: 36
  • Routes: 36
  • Shapes: 55
  • Stops: 1193
  • Trips: 221

Specification Compliance report

1136 notices reported (54 errors, 1054 warnings, 28 infos)

Notice Code Severity Total
block_trips_with_overlapping_stop_times ERROR 54

block_trips_with_overlapping_stop_times

Trips with the same block id have overlapping stop times.

You can see more about this notice here.

Only the first 50 of 54 affected records are displayed below.

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 "16S|24000053:T1|7:40:00" "SCO_LMmJV" 100 "16S|24000053:T2|7:50:00" "SCO_LMmJV" "16S|TAC" "20250901"
99 "16S|24000053:T1|7:40:00" "SCO_LMmJV" 101 "16S|24000053:T3|7:55:00" "SCO_LMmJV" "16S|TAC" "20250901"
100 "16S|24000053:T2|7:50:00" "SCO_LMmJV" 101 "16S|24000053:T3|7:55:00" "SCO_LMmJV" "16S|TAC" "20250901"
102 "16S|24000053:T4|8:40:00" "SCO_LMmJV" 103 "16S|24000053:T5|8:55:00" "SCO_LMmJV" "16S|TAC" "20250901"
105 "16S|24000031:T2|13:40:00" "SCO_Mer" 106 "16S|24000031:T3|13:40:00" "SCO_Mer" "16S|TAC" "20250903"
105 "16S|24000031:T2|13:40:00" "SCO_Mer" 104 "16S|24000031:T1|13:40:00" "SCO_Mer" "16S|TAC" "20250903"
106 "16S|24000031:T3|13:40:00" "SCO_Mer" 104 "16S|24000031:T1|13:40:00" "SCO_Mer" "16S|TAC" "20250903"
108 "16S|24000031:T5|16:10:00" "SCO_LM_JV" 107 "16S|24000031:T4|16:10:00" "SCO_LM_JV" "16S|TAC" "20250901"
109 "16S|24000031:T6|17:10:00" "SCO_LM_JV" 111 "16S|24000031:T8|17:10:00" "SCO_LM_JV" "16S|TAC" "20250901"
109 "16S|24000031:T6|17:10:00" "SCO_LM_JV" 110 "16S|24000031:T7|17:10:00" "SCO_LM_JV" "16S|TAC" "20250901"
111 "16S|24000031:T8|17:10:00" "SCO_LM_JV" 110 "16S|24000031:T7|17:10:00" "SCO_LM_JV" "16S|TAC" "20250901"
86 "14S|24000052:T2|7:50:00" "SCO_LM_JV" 87 "14S|24000052:T3|8:15:00" "SCO_LMmJV" "14S|SAM" "20250901"
90 "14S|24000035:T3|16:45:00" "SCO_LM_JV" 91 "14S|24000035:T4|17:10:00" "SCO_LM_JV" "14S|SAM" "20250901"
72 "12S|24000057:T1|7:20:00" "SCO_LMmJV" 73 "12S|24000057:T2|7:25:00" "SCO_LMmJV" "12S|BELTRAME" "20250901"
74 "12S|24000057:T3|8:00:00" "SCO_LM_JV" 75 "12S|24000057:T4|8:15:00" "SCO_LMmJV" "12S|BELTRAME" "20250901"
76 "12S|24000034:T1|12:10:00" "SCO_Mer" 77 "12S|24000034:T2|12:10:00" "SCO_Mer" "12S|BELTRAME" "20250903"
78 "12S|24000034:T3|16:10:00" "SCO_LM_JV" 79 "12S|24000034:T4|16:35:00" "SCO_LM_JV" "12S|BELTRAME" "20250901"
81 "12S|24000034:T6|17:10:00" "SCO_LM_JV" 80 "12S|24000034:T5|17:10:00" "SCO_LM_JV" "12S|BELTRAME" "20250901"
55 "10S|24000065:T1|7:10:00" "SCO_LMmJV" 56 "10S|24000065:T2|7:20:00" "SCO_LMmJV" "10S|SAM" "20250901"
55 "10S|24000065:T1|7:10:00" "SCO_LMmJV" 57 "10S|24000065:T3|7:30:00" "SCO_LMmJV" "10S|SAM" "20250901"
56 "10S|24000065:T2|7:20:00" "SCO_LMmJV" 57 "10S|24000065:T3|7:30:00" "SCO_LMmJV" "10S|SAM" "20250901"
58 "10S|24000065:T4|8:10:00" "SCO_LMmJV" 59 "10S|24000065:T5|8:30:00" "SCO_LMmJV" "10S|SAM" "20250901"
60 "10S|24000079:T1|12:10:00" "SCO_Mer" 61 "10S|24000079:T2|12:10:00" "SCO_Mer" "10S|SAM" "20250903"
60 "10S|24000079:T1|12:10:00" "SCO_Mer" 62 "10S|24000079:T3|12:10:00" "SCO_Mer" "10S|SAM" "20250903"
61 "10S|24000079:T2|12:10:00" "SCO_Mer" 62 "10S|24000079:T3|12:10:00" "SCO_Mer" "10S|SAM" "20250903"
63 "10S|24000079:T4|16:10:00" "SCO_LM_JV" 64 "10S|24000079:T5|16:10:00" "SCO_LM_JV" "10S|SAM" "20250901"
63 "10S|24000079:T4|16:10:00" "SCO_LM_JV" 65 "10S|24000079:T6|16:10:00" "SCO_LM_JV" "10S|SAM" "20250901"
64 "10S|24000079:T5|16:10:00" "SCO_LM_JV" 65 "10S|24000079:T6|16:10:00" "SCO_LM_JV" "10S|SAM" "20250901"
66 "10S|24000079:T7|17:10:00" "SCO_LM_JV" 67 "10S|24000079:T8|17:10:00" "SCO_LM_JV" "10S|SAM" "20250901"
66 "10S|24000079:T7|17:10:00" "SCO_LM_JV" 68 "10S|24000079:T9|17:10:00" "SCO_LM_JV" "10S|SAM" "20250901"
67 "10S|24000079:T8|17:10:00" "SCO_LM_JV" 68 "10S|24000079:T9|17:10:00" "SCO_LM_JV" "10S|SAM" "20250901"
124 "18S|24000049:T1|7:00:00" "SCO_LMmJV" 125 "18S|24000049:T2|7:00:00" "SCO_LMmJV" "18S|SAM" "20250901"
126 "18S|24000033:T1|12:10:00" "SCO_Mer" 127 "18S|24000033:T2|13:10:00" "SCO_Mer" "18S|SAM" "20250903"
128 "18S|24000033:T3|16:10:00" "SCO_LM_JV" 129 "18S|24000033:T4|17:10:00" "SCO_LM_JV" "18S|SAM" "20250901"
113 "17S|24000078:T2|6:40:00" "SCO_Mer" 115 "17S|24000078:T4|6:45:00" "SCO_Mer" "17S|LMUS" "20250903"
113 "17S|24000078:T2|6:40:00" "SCO_Mer" 116 "17S|24000078:T5|7:35:00" "SCO_LMmJV" "17S|LMUS" "20250903"
114 "17S|24000078:T3|6:40:00" "SCO_LM_JV" 112 "17S|24000078:T1|6:40:00" "SCO_LM_JV" "17S|LMUS" "20250901"
114 "17S|24000078:T3|6:40:00" "SCO_LM_JV" 116 "17S|24000078:T5|7:35:00" "SCO_LMmJV" "17S|LMUS" "20250901"
112 "17S|24000078:T1|6:40:00" "SCO_LM_JV" 116 "17S|24000078:T5|7:35:00" "SCO_LMmJV" "17S|LMUS" "20250901"
115 "17S|24000078:T4|6:45:00" "SCO_Mer" 116 "17S|24000078:T5|7:35:00" "SCO_LMmJV" "17S|LMUS" "20250903"
117 "17S|24000094:T1|12:10:00" "SCO_Mer" 118 "17S|24000094:T2|12:15:00" "SCO_Mer" "17S|LMUS" "20250903"
121 "17S|24000094:T5|17:10:00" "SCO_LM_JV" 122 "17S|24000094:T6|17:15:00" "SCO_LM_JV" "17S|LMUS" "20250901"
27 "5S|24000091:T2|6:50:00" "SCO_LMmJV" 26 "5S|24000091:T1|7:05:00" "SCO_LMmJV" "5S|BELTRAME" "20250901"
27 "5S|24000091:T2|6:50:00" "SCO_LMmJV" 28 "5S|24000091:T3|7:45:00" "SCO_LMmJV" "5S|BELTRAME" "20250901"
26 "5S|24000091:T1|7:05:00" "SCO_LMmJV" 28 "5S|24000091:T3|7:45:00" "SCO_LMmJV" "5S|BELTRAME" "20250901"
29 "5S|24000040:T1|12:15:00" "SCO_Mer" 30 "5S|24000040:T2|12:15:00" "SCO_Mer" "5S|BELTRAME" "20250903"
33 "5S|24000040:T5|17:15:00" "SCO_LM_JV" 34 "5S|24000040:T6|17:15:00" "SCO_LM_JV" "5S|BELTRAME" "20250901"
7 "2S|24000044:T1|6:35:00" "SCO_LM_JV" 8 "2S|24000044:T2|6:40:00" "SCO_LM_JV" "2S|BELTRAME" "20250901"
9 "2S|24000044:T3|6:40:00" "SCO_Mer" 10 "2S|24000044:T4|6:45:00" "SCO_Mer" "2S|BELTRAME" "20250903"
8 "2S|24000044:T2|6:40:00" "SCO_LM_JV" 11 "2S|24000044:T5|7:45:00" "SCO_LMmJV" "2S|BELTRAME" "20250901"
expired_calendar WARNING 3

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "SCO_LMmJV"
3 "SCO_Mer"
4 "SCO_LM_JV"
feed_expiration_date7_days WARNING 1

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

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 "20260710" "20260703" "20260717"
mixed_case_recommended_field WARNING 1049

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.

Only the first 50 of 1049 affected records are displayed below.

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
"stops.txt" "stop_name" "11 NOVEMBRE" 2
"stops.txt" "stop_name" "11 NOVEMBRE" 3
"stops.txt" "stop_name" "204 ROUTE D'AURIBEAU" 7
"stops.txt" "stop_name" "204 ROUTE D'AURIBEAU" 8
"stops.txt" "stop_name" "440 ROUTE DE SAINT-CEZAIRE" 9
"stops.txt" "stop_name" "440 ROUTE DE SAINT-CEZAIRE" 10
"stops.txt" "stop_name" "440 ROUTE DE SAINT-CEZAIRE" 11
"stops.txt" "stop_name" "ADRIEN REY" 12
"stops.txt" "stop_name" "ADRIEN REY" 13
"stops.txt" "stop_name" "ADRIEN REY" 14
"stops.txt" "stop_name" "AIME LEGALL" 15
"stops.txt" "stop_name" "AIME LEGALL" 16
"stops.txt" "stop_name" "AIME LEGALL" 17
"stops.txt" "stop_name" "AIRE DE TIRAGON" 18
"stops.txt" "stop_name" "AIRE DE TIRAGON" 19
"stops.txt" "stop_name" "AIRE DE TIRAGON" 20
"stops.txt" "stop_name" "AIRE DE VIDAL" 21
"stops.txt" "stop_name" "AIRE DE VIDAL" 22
"stops.txt" "stop_name" "AIRE DE VIDAL" 23
"stops.txt" "stop_name" "ALICE DE ROTSCHILD" 24
"stops.txt" "stop_name" "ALICE DE ROTSCHILD" 25
"stops.txt" "stop_name" "ALICE DE ROTSCHILD" 26
"stops.txt" "stop_name" "ANCIENNE POSTE" 30
"stops.txt" "stop_name" "ANCIENNE POSTE" 31
"stops.txt" "stop_name" "ANCIENNE POSTE" 32
"stops.txt" "stop_name" "ANTOINE CRESP" 35
"stops.txt" "stop_name" "ANTOINE CRESP" 36
"stops.txt" "stop_name" "ANTOINE CRESP" 37
"stops.txt" "stop_name" "AURIBEAU VILLAGE" 38
"stops.txt" "stop_name" "AURIBEAU VILLAGE" 39
"stops.txt" "stop_name" "AVENUE AMIRAL DE GRASSE" 40
"stops.txt" "stop_name" "AVENUE AMIRAL DE GRASSE" 41
"stops.txt" "stop_name" "AVENUE DE CANNES" 42
"stops.txt" "stop_name" "AVENUE DE CANNES" 43
"stops.txt" "stop_name" "AVENUE DE CANNES" 44
"stops.txt" "stop_name" "AVENUE DE PEYGROS" 45
"stops.txt" "stop_name" "AVENUE DE PEYGROS" 46
"stops.txt" "stop_name" "AVENUE DE PROVENCE" 47
"stops.txt" "stop_name" "AVENUE DE PROVENCE" 48
"stops.txt" "stop_name" "AVENUE DES TERMES 1" 49
"stops.txt" "stop_name" "AVENUE DES TERMES 1" 50
"stops.txt" "stop_name" "AVENUE DES TERMES 2" 51
"stops.txt" "stop_name" "AVENUE DES TERMES 2" 52
"stops.txt" "stop_name" "AVENUE DES TERMES 3" 53
"stops.txt" "stop_name" "AVENUE DES TERMES 3" 54
"stops.txt" "stop_name" "AVENUE THIERS" 55
"stops.txt" "stop_name" "AVENUE THIERS" 56
"stops.txt" "stop_name" "BAS COULOUBRIER" 57
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20260710" "20250901" "20260703"
big_gap_in_service INFO 12

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"SCO_LMmJV" "2025-10-17" "2025-11-03" 16
"SCO_LMmJV" "2025-12-19" "2026-01-05" 16
"SCO_LMmJV" "2026-02-13" "2026-03-02" 16
"SCO_LMmJV" "2026-04-10" "2026-04-27" 16
"SCO_Mer" "2025-10-15" "2025-11-05" 20
"SCO_Mer" "2025-12-17" "2026-01-07" 20
"SCO_Mer" "2026-02-11" "2026-03-04" 20
"SCO_Mer" "2026-04-08" "2026-04-29" 20
"SCO_LM_JV" "2025-10-17" "2025-11-03" 16
"SCO_LM_JV" "2025-12-19" "2026-01-05" 16
"SCO_LM_JV" "2026-02-13" "2026-03-02" 16
"SCO_LM_JV" "2026-04-10" "2026-04-27" 16
unknown_column INFO 15

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"agency.txt" "agency_primary" 9
"routes.txt" "tts_route_short_name" 4
"routes.txt" "tts_route_long_name" 6
"routes.txt" "direction0_name" 13
"routes.txt" "direction1_name" 14
"trips.txt" "ext_trip_short_name" 6
"trips.txt" "ext_block_id" 9
"trips.txt" "ext_grid_id" 13
"trips.txt" "exceptional" 14
"trips.txt" "ext_atp_index" 15
"stops.txt" "city_name" 14
"stops.txt" "area_name" 15
"stops.txt" "direction_id" 16
"stops.txt" "ext_id" 17
"calendar.txt" "service_name" 11
unknown_file INFO 1

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"route_directions.txt"