Comptages routiers et piétons 2025
Données de comptage routier : véhicules, cycles et piétons issus de capteurs IOT gérés par Upcity à différents emplacement de la ville de Toulouse. Données de l'année 2025 complète.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (11 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| started_atStarted at | datetime | Début |
| ended_atEnded at | datetime | fin |
| street_nameStreet name | text | nom de la rue |
| direction | text | — |
| pedestrian_countPedestrian count | int | nombre de piétons |
| bike_countBike count | int | nombre de cyclistes |
| car_countCar count | int | nombre de véhicules légers |
| heavy_vehicle_countHeavy vehicle count | int | nombre de véhicules type utilitaire |
| latitudeLatitude | double | — |
| longitudeLongitude | double | — |
| geo_pointGeo point | geo_point_2d | — |
Schema captured from opendatasoft 1 hour ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
Record 1ended_at: 2025-11-27T00:00:00+00:00 · latitude: 43.603363
{
"ended_at": "2025-11-27T00:00:00+00:00",
"latitude": 43.603363,
"car_count": 3,
"direction": "vers place du Capitole",
"geo_point": {
"lat": 43.603363,
"lon": 1.44346535
},
"longitude": 1.44346535,
"bike_count": 4,
"started_at": "2025-11-26T23:00:00+00:00",
"street_name": "Rue Saint-Rome",
"pedestrian_count": 62,
"heavy_vehicle_count": 1
}Record 2ended_at: 2025-11-27T00:00:00+00:00 · latitude: 43.6032143
{
"ended_at": "2025-11-27T00:00:00+00:00",
"latitude": 43.6032143,
"car_count": 0,
"direction": "vers place du Capitole",
"geo_point": {
"lat": 43.6032143,
"lon": 1.44202816
},
"longitude": 1.44202816,
"bike_count": 1,
"started_at": "2025-11-26T23:00:00+00:00",
"street_name": "Rue Léon Gambetta",
"pedestrian_count": 36,
"heavy_vehicle_count": 0
}Record 3ended_at: 2025-11-27T00:00:00+00:00 · latitude: 43.6024437
{
"ended_at": "2025-11-27T00:00:00+00:00",
"latitude": 43.6024437,
"car_count": 0,
"direction": "vers rue Antoine Mercié",
"geo_point": {
"lat": 43.6024437,
"lon": 1.44573712
},
"longitude": 1.44573712,
"bike_count": 22,
"started_at": "2025-11-26T23:00:00+00:00",
"street_name": "Rue d'Alsace Lorraine",
"pedestrian_count": 37,
"heavy_vehicle_count": 0
}Record 4ended_at: 2025-11-27T00:00:00+00:00 · latitude: 43.6033936
{
"ended_at": "2025-11-27T00:00:00+00:00",
"latitude": 43.6033936,
"car_count": 3,
"direction": "vers rue d'Alsace Lorraine",
"geo_point": {
"lat": 43.6033936,
"lon": 1.44515777
},
"longitude": 1.44515777,
"bike_count": 7,
"started_at": "2025-11-26T23:00:00+00:00",
"street_name": "Rue de la Pomme",
"pedestrian_count": 19,
"heavy_vehicle_count": 1
}Record 5ended_at: 2025-11-27T00:00:00+00:00 · latitude: 43.6033936
{
"ended_at": "2025-11-27T00:00:00+00:00",
"latitude": 43.6033936,
"car_count": 0,
"direction": "vers rue Saint Pantaléon",
"geo_point": {
"lat": 43.6033936,
"lon": 1.44515777
},
"longitude": 1.44515777,
"bike_count": 2,
"started_at": "2025-11-26T23:00:00+00:00",
"street_name": "Rue de la Pomme",
"pedestrian_count": 17,
"heavy_vehicle_count": 1
}Live sample captured at profiling time — values may have changed upstream.
Using the API
Configuration
- Base URL
- https://data.toulouse-metropole.fr/api/explore/v2.1/catalog/datasets/comptages-routiers-et-pietons-2025
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.toulouse-metropole.fr/api/explore/v2.1/catalog/datasets/comptages-routiers-et-pietons-2025/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.