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transdev — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-01T16:03:13Z,
for the dataset file:///shared/transdev_11e98233.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included

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

Counts

  • Agencies: 1
  • Blocks: 3
  • Routes: 3
  • Shapes: 10
  • Stops: 71
  • Trips: 47

Specification Compliance report

70 notices reported (2 errors, 66 warnings, 2 infos)

Notice Code Severity Total
stop_time_with_arrival_before_previous_departure_time ERROR 1

stop_time_with_arrival_before_previous_departure_time

Backwards time travel between stops in stop_times.txt

For a given trip_id, the arrival_time of (n+1)-th stoptime in sequence must not precede the departure_time of n-th stoptime in sequence in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. prevCsvRowNumber (?) The row of the previous stop time. tripId (?) The trip_id associated to the faulty record. arrivalTime (?) Arrival time at the faulty record. departureTime (?) Departure time at the previous stop time.
31 10 "9502" "17:35:30" "18:55:00"
trip_distance_exceeds_shape_distance ERROR 1

trip_distance_exceeds_shape_distance

The distance between the last shape point and last stop point is greater than or equal to the 11.1m threshold.

You can see more about this notice here.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"9502" "2562" 17308.0 9434.0 6560.708337348615
expired_calendar WARNING 1

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 "5_10_19_21_23_25_27"
fast_travel_between_consecutive_stops WARNING 20

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.
5 "9507" "VERTE" 209.48307429190794 1.1637948571772663 65 6 "P83" "saint marcel renardeau" "14:20:20" 66 7 "P48" "Les Granges" "14:20:40"
5 "9507" "VERTE" 225.90298703891352 1.882524891990946 67 8 "P49" "Praranger" "14:25:00" 68 9 "P50" "Le Lavassay" "14:25:30"
7 "9503" "VERTE" 209.48307429190794 1.1637948571772663 96 6 "P83" "saint marcel renardeau" "10:50:20" 97 7 "P48" "Les Granges" "10:50:40"
7 "9503" "VERTE" 225.90298703891352 1.882524891990946 98 8 "P49" "Praranger" "10:55:00" 99 9 "P50" "Le Lavassay" "10:55:30"
46 "8303" "MAUVE" 209.48307429190794 1.1637948571772663 638 6 "P83" "saint marcel renardeau" "11:05:20" 639 7 "P48" "Les Granges" "11:05:40"
46 "8303" "MAUVE" 225.90298703891352 1.882524891990946 640 8 "P49" "Praranger" "11:10:00" 641 9 "P50" "Le Lavassay" "11:10:30"
42 "8307" "MAUVE" 209.48307429190794 1.1637948571772663 472 6 "P83" "saint marcel renardeau" "17:35:20" 473 7 "P48" "Les Granges" "17:35:40"
42 "8307" "MAUVE" 225.90298703891352 1.882524891990946 474 8 "P49" "Praranger" "17:40:00" 475 9 "P50" "Le Lavassay" "17:40:30"
44 "8305" "MAUVE" 209.48307429190794 1.1637948571772663 555 6 "P83" "saint marcel renardeau" "13:35:20" 556 7 "P48" "Les Granges" "13:35:40"
44 "8305" "MAUVE" 225.90298703891352 1.882524891990946 557 8 "P49" "Praranger" "13:40:00" 558 9 "P50" "Le Lavassay" "13:40:30"
48 "8301" "MAUVE" 209.48307429190794 1.1637948571772663 721 6 "P83" "saint marcel renardeau" "09:05:20" 722 7 "P48" "Les Granges" "09:05:40"
48 "8301" "MAUVE" 225.90298703891352 1.882524891990946 723 8 "P49" "Praranger" "09:10:00" 724 9 "P50" "Le Lavassay" "09:10:30"
4 "9509" "VERTE" 209.48307429190794 1.1637948571772663 45 6 "P83" "saint marcel renardeau" "16:20:20" 46 7 "P48" "Les Granges" "16:20:40"
4 "9509" "VERTE" 225.90298703891352 1.882524891990946 47 8 "P49" "Praranger" "16:25:00" 48 9 "P50" "Le Lavassay" "16:25:30"
3 "9511" "VERTE" 209.48307429190794 1.1637948571772663 16 6 "P83" "saint marcel renardeau" "18:05:20" 17 7 "P48" "Les Granges" "18:05:40"
3 "9511" "VERTE" 225.90298703891352 1.882524891990946 18 8 "P49" "Praranger" "18:10:00" 19 9 "P50" "Le Lavassay" "18:10:30"
8 "9501" "VERTE" 209.48307429190794 1.1637948571772663 116 6 "P83" "saint marcel renardeau" "09:15:20" 117 7 "P48" "Les Granges" "09:15:40"
8 "9501" "VERTE" 225.90298703891352 1.882524891990946 118 8 "P49" "Praranger" "09:20:00" 119 9 "P50" "Le Lavassay" "09:20:30"
6 "9505" "VERTE" 209.48307429190794 1.1637948571772663 85 6 "P83" "saint marcel renardeau" "12:00:20" 86 7 "P48" "Les Granges" "12:00:40"
6 "9505" "VERTE" 225.90298703891352 1.882524891990946 87 8 "P49" "Praranger" "12:05:00" 88 9 "P50" "Le Lavassay" "12:05:30"
fast_travel_between_far_stops WARNING 1

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.
2 "9502" "VERTE" 604.8153221765785 10.080255369609642 4 3 "PR81" "UCPA" "18:39:00" 35 14 "P40" "Saint Marcel" "17:45:00"
leading_or_trailing_whitespaces WARNING 1

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"stops.txt" 10 "stop_name" "Les Montagnettes "
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
mixed_case_recommended_field WARNING 7

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.
"agency.txt" "agency_name" "transdev" 2
"stops.txt" "stop_name" "saint marcel renardeau" 27
"stops.txt" "stop_name" "le villard" 35
"trips.txt" "trip_headsign" "entrée de saint martin" 41
"trips.txt" "trip_headsign" "entrée de saint martin" 43
"trips.txt" "trip_headsign" "entrée de saint martin" 45
"trips.txt" "trip_headsign" "entrée de saint martin" 47
stop_too_far_from_shape WARNING 9

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
2 "2562" "9502" 31 "P75" "Coeur des loges" [45.32543111,6.538096109999999] 774.834525118305
2 "2562" "9502" 32 "P37" "Le Lavassay" [45.32543111,6.538096109999999] 1338.8284100457834
2 "2562" "9502" 33 "P49" "Praranger" [45.32543111,6.538096109999999] 3237.5406499436367
2 "2562" "9502" 34 "P48" "Les Granges" [45.32543111,6.538096109999999] 3963.234338891371
2 "2562" "9502" 35 "P40" "Saint Marcel" [45.32543111,6.538096109999999] 5390.564984293508
2 "2562" "9502" 36 "P41" "Notre Dame de la Vie" [45.32543111,6.538096109999999] 5820.254482211743
2 "2562" "9502" 37 "P79" "Le Clous" [45.32543111,6.538096109999999] 6822.8032453482
2 "2562" "9502" 38 "P56" "Les Places" [45.32543111,6.538096109999999] 6672.334707267863
2 "2562" "9502" 39 "P60" "Saint Martin Mairie" [45.32543111,6.538096109999999] 6560.708337349096
stop_without_stop_time WARNING 25

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
3 "P2" "Les Airelles"
6 "P5" "Hotel Le Menuire"
17 "P16" "Le Kaya"
25 "P24" "La Viaz"
28 "P27" "Les Marmottes Bas"
35 "P84" "le villard"
48 "P55" "Villarabout"
50 "P57" "Saint Martin Les Chapelles"
51 "P58" "Saint Martin Château Feuillet"
52 "P59" "Saint Martin La Villette"
54 "P62" "Maison De Val Thorens"
55 "P63" "Eglise"
56 "P64" "Place Peclet"
57 "P65" "Les Neves"
58 "P66" "Parking P0"
59 "P67" "Les Balcons"
60 "P68" "Les Montagnettes"
61 "P69" "Montana"
62 "P70" "Les Temples Du Soleil"
63 "P71" "Parking P2"
64 "P72" "Le Cairn"
65 "p72" "Les Arolles"
68 "P76" "Le geffriand"
69 "P77" "Les cristaux"
70 "P78" "Entrée de saint martin"
unused_shape WARNING 1

unused_shape

Shape is not used in GTFS file trips.txt.

All records defined by GTFS shapes.txt should be used in trips.txt.

You can see more about this notice here.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"2563" 1908
trip_headsign_matches_intermediate_stop INFO 1

trip_headsign_matches_intermediate_stop

Trip headsign matches the name of an intermediate stop, not the last stop.

The trip_headsign matches the stop_name of a stop that is not the last stop of the trip. This may confuse passengers boarding after that stop, since the headsign suggests the vehicle is heading to a stop it has already passed.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record in `trips.txt`. tripId (?) The id of the trip with the problematic headsign. tripHeadsign (?) The headsign value that matches an intermediate stop name. stopId1 (?) The id of the intermediate stop whose name matches the headsign. stopSequence (?) The stop_sequence value of the intermediate stop that matches the headsign. stopId2 (?) The id of the actual last stop of the trip.
2 "9502" "Gare Routiere" "P1" 9 "P60"
unsorted_stop_times INFO 1

unsorted_stop_times

Stop times are not sorted by trip_id and stop_sequence.

'stop_times.txt' entries for a given trip are not sorted by stop_sequence, or are not contiguous in the file.

You can see more about this notice here.

tripId (?) The faulty record's trip_id. startCsvRowNumber (?) CSV row number of the first stop_times entry for this trip. endCsvRowNumber (?) CSV row number of the last stop_times entry for this trip.
"9502" 2 39