GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-19T21:42:40Z,
for the dataset file:///shared/urbain-vitre_dda946c4.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
KEOLIS_ARMOR
Publisher URL:
https://www.mova.bzh/
Feed Email:
N/A
Feed Language:
French
Feed Start Date:
2025-09-01
Feed End Date:
2026-07-03

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. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 8
  • Shapes: 0
  • Stops: 211
  • Trips: 387

Specification Compliance report

7580 notices reported (1280 errors, 6284 warnings, 16 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 1280

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

Only the first 50 of 1280 affected records are displayed below.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"139801" "CHGRREN1" 181 0.0 2 180 0.0 1
"139801" "CHGLAEN1" 182 0.0 3 181 0.0 2
"139801" "CHGCCH1" 183 0.0 4 182 0.0 3
"139801" "SDICENT1" 184 0.0 5 183 0.0 4
"139801" "DOMCENT1" 185 0.0 6 184 0.0 5
"139800" "CHGRREN1" 175 0.0 2 174 0.0 1
"139800" "CHGLAEN1" 176 0.0 3 175 0.0 2
"139800" "CHGCCH1" 177 0.0 4 176 0.0 3
"139800" "SDICENT1" 178 0.0 5 177 0.0 4
"139800" "DOMCENT1" 179 0.0 6 178 0.0 5
"141900" "SJVCENT2" 5677 0.0 2 5676 0.0 1
"141900" "CHGPRIO2" 5679 1571.0 4 5678 1571.0 3
"141900" "CHGBRET2" 5681 1884.0 6 5680 1884.0 5
"141902" "SJVCENT2" 5703 0.0 2 5702 0.0 1
"141902" "CHGPRIO2" 5705 1571.0 4 5704 1571.0 3
"141902" "CHGBRET2" 5707 1884.0 6 5706 1884.0 5
"141901" "SJVCENT2" 5690 0.0 2 5689 0.0 1
"141901" "CHGPRIO2" 5692 1571.0 4 5691 1571.0 3
"141901" "CHGBRET2" 5694 1884.0 6 5693 1884.0 5
"141904" "CHGPRIO2" 5727 0.0 2 5726 0.0 1
"141904" "CHGBRET2" 5729 313.0 4 5728 313.0 3
"141903" "CHGPRIO2" 5716 0.0 2 5715 0.0 1
"141903" "CHGBRET2" 5718 313.0 4 5717 313.0 3
"141911" "SJVCENT2" 5812 0.0 2 5811 0.0 1
"141911" "CHGPRIO2" 5814 1571.0 4 5813 1571.0 3
"141911" "CHGBRET2" 5816 1884.0 6 5815 1884.0 5
"141913" "SJVCENT2" 5838 0.0 2 5837 0.0 1
"141913" "CHGPRIO2" 5840 1571.0 4 5839 1571.0 3
"141913" "CHGBRET2" 5842 1884.0 6 5841 1884.0 5
"141912" "SJVCENT2" 5825 0.0 2 5824 0.0 1
"141912" "CHGPRIO2" 5827 1571.0 4 5826 1571.0 3
"141912" "CHGBRET2" 5829 1884.0 6 5828 1884.0 5
"140409" "VITDPAP1" 1141 0.0 2 1140 0.0 1
"140409" "VITBARA1" 1142 0.0 3 1141 0.0 2
"140409" "VITMART1" 1149 2084.0 10 1148 2084.0 9
"140409" "VITAUR1" 1150 2084.0 11 1149 2084.0 10
"140409" "VITBGAS1" 1152 2513.0 13 1151 2513.0 12
"140409" "VITZACR1" 1153 2513.0 14 1152 2513.0 13
"140409" "VITRONC1" 1154 2513.0 15 1153 2513.0 14
"140409" "VITGHAY1" 1155 2513.0 16 1154 2513.0 15
"140409" "VITJMJA1" 1156 2513.0 17 1155 2513.0 16
"140409" "VITRPER1" 1157 2513.0 18 1156 2513.0 17
"140400" "VITDPAP1" 979 0.0 2 978 0.0 1
"140400" "VITBARA1" 980 0.0 3 979 0.0 2
"140400" "VITMART1" 987 2084.0 10 986 2084.0 9
"140400" "VITAUR1" 988 2084.0 11 987 2084.0 10
"140400" "VITBGAS1" 990 2513.0 13 989 2513.0 12
"140400" "VITZACR1" 991 2513.0 14 990 2513.0 13
"140400" "VITRONC1" 992 2513.0 15 991 2513.0 14
"140400" "VITGHAY1" 993 2513.0 16 992 2513.0 15
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 "20260619" "20260703" "20260719"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_timepoint_value WARNING 5887

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 5887 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "139746" 1
3 "139746" 2
4 "139746" 3
5 "139746" 4
6 "139746" 5
7 "139746" 6
8 "139747" 1
9 "139747" 2
10 "139747" 3
11 "139747" 4
12 "139747" 5
13 "139747" 6
14 "139748" 1
15 "139748" 2
16 "139748" 3
17 "139748" 4
18 "139748" 5
19 "139748" 6
20 "139749" 1
21 "139749" 2
22 "139749" 3
23 "139749" 4
24 "139749" 5
25 "139749" 6
26 "139750" 1
27 "139750" 2
28 "139750" 3
29 "139750" 4
30 "139750" 5
31 "139750" 6
32 "139751" 1
33 "139751" 2
34 "139751" 3
35 "139751" 4
36 "139751" 5
37 "139751" 6
38 "139752" 1
39 "139752" 2
40 "139752" 3
41 "139752" 4
42 "139752" 5
43 "139752" 6
44 "139753" 1
45 "139753" 2
46 "139753" 3
47 "139753" 4
48 "139753" 5
49 "139753" 6
50 "139754" 1
51 "139754" 2
mixed_case_recommended_field WARNING 395

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 395 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.
"agency.txt" "agency_name" "URBAIN_VITRE" 2
"routes.txt" "route_long_name" "CHATEAUBOURG_LIGNE_A" 2
"routes.txt" "route_long_name" "CHATEAUBOURG_LIGNE_B" 3
"routes.txt" "route_long_name" "CHATEAUBOURG_LIGNE_C" 4
"routes.txt" "route_long_name" "CHATEAUBOURG_LIGNE_D" 5
"stops.txt" "stop_name" "CHATEAUBOURG_college_public" 8
"stops.txt" "stop_name" "VITRE_JM_JACQUARD" 61
"stops.txt" "stop_name" "JM_JACQUARD" 174
"trips.txt" "trip_short_name" "139746{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 2
"trips.txt" "trip_short_name" "139747{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 3
"trips.txt" "trip_short_name" "139748{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 4
"trips.txt" "trip_short_name" "139749{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 5
"trips.txt" "trip_short_name" "139750{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 6
"trips.txt" "trip_short_name" "139751{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 7
"trips.txt" "trip_short_name" "139752{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 8
"trips.txt" "trip_short_name" "139753{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 9
"trips.txt" "trip_short_name" "139754{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 10
"trips.txt" "trip_short_name" "139755{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 11
"trips.txt" "trip_short_name" "139756{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 12
"trips.txt" "trip_short_name" "139757{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 13
"trips.txt" "trip_short_name" "139758{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 14
"trips.txt" "trip_short_name" "139780{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 15
"trips.txt" "trip_short_name" "139781{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 16
"trips.txt" "trip_short_name" "139782{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 17
"trips.txt" "trip_short_name" "139783{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 18
"trips.txt" "trip_short_name" "139784{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 19
"trips.txt" "trip_short_name" "139785{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 20
"trips.txt" "trip_short_name" "139786{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 21
"trips.txt" "trip_short_name" "139787{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 22
"trips.txt" "trip_short_name" "139788{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 23
"trips.txt" "trip_short_name" "139789{CBD_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 24
"trips.txt" "trip_short_name" "139796{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_S" 25
"trips.txt" "trip_short_name" "139797{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_S" 26
"trips.txt" "trip_short_name" "139798{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_S" 27
"trips.txt" "trip_short_name" "139799{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_S" 28
"trips.txt" "trip_short_name" "139800{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_S" 29
"trips.txt" "trip_short_name" "139801{CBB_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_S" 30
"trips.txt" "trip_short_name" "140354{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 31
"trips.txt" "trip_short_name" "140355{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 32
"trips.txt" "trip_short_name" "140356{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 33
"trips.txt" "trip_short_name" "140357{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 34
"trips.txt" "trip_short_name" "140358{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 35
"trips.txt" "trip_short_name" "140359{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 36
"trips.txt" "trip_short_name" "140360{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 37
"trips.txt" "trip_short_name" "140361{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 38
"trips.txt" "trip_short_name" "140362{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 39
"trips.txt" "trip_short_name" "140363{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 40
"trips.txt" "trip_short_name" "140364{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 41
"trips.txt" "trip_short_name" "140365{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 42
"trips.txt" "trip_short_name" "140366{CBC_1}-URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" 43
big_gap_in_service INFO 16

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.
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" "2025-10-17" "2025-11-03" 16
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" "2025-12-19" "2026-01-05" 16
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" "2026-02-13" "2026-03-02" 16
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_LMWJV" "2026-04-10" "2026-04-27" 16
"URBAIN_VITRE_SEPT25_PS_01_LMWJV" "2025-10-17" "2025-11-03" 16
"URBAIN_VITRE_SEPT25_PS_01_LMWJV" "2025-12-19" "2026-01-05" 16
"URBAIN_VITRE_SEPT25_PS_01_LMWJV" "2026-02-13" "2026-03-02" 16
"URBAIN_VITRE_SEPT25_PS_01_LMWJV" "2026-04-10" "2026-04-27" 16
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_S" "2025-10-11" "2025-11-08" 27
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_S" "2025-12-13" "2026-01-10" 27
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_S" "2026-02-07" "2026-03-07" 27
"URBAIN_CHATEAUBOURG_SEPT25_PS_01_S" "2026-04-04" "2026-05-02" 27
"URBAIN_VITRE_SEPT25_PS_01_S" "2025-10-11" "2025-11-08" 27
"URBAIN_VITRE_SEPT25_PS_01_S" "2025-12-13" "2026-01-10" 27
"URBAIN_VITRE_SEPT25_PS_01_S" "2026-02-07" "2026-03-07" 27
"URBAIN_VITRE_SEPT25_PS_01_S" "2026-04-04" "2026-05-02" 27