Road and Pedestrian Counts 2025Comptages routiers et piétons 2025

Comptages routiers et piétons 2025Road and Pedestrian Counts 2025

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This API provides traffic counting data for Toulouse Métropole, covering vehicles, cycles and pedestrians. The data is collected from IoT sensors managed by Upcity, deployed at various locations across the city of Toulouse, and covers the full 2025 calendar year. Access is free and does not require authentication. The dataset can be used to analyze mobility patterns and traffic flows for motorized vehicles, cyclists and pedestrians within the city.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.

transport

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Trust score

How is this computed?

fair

Weighted across five axes. Tap a ring for what it measures.

Data schema (11 fields)

Filterable via the API (10)

started_atended_atstreet_namedirectionpedestrian_countbike_countcar_countheavy_vehicle_countlatitudelongitude

Click a field to see example values.

Field	Type	Description
started_atStarted at	datetime	Start date and time of the counting interval.Début
ended_atEnded at	datetime	End date and time of the counting interval.fin
street_nameStreet name	text	Name of the street where the sensor is located.nom de la rue
direction	text	Direction of travel monitored by the sensor.Direction of travel monitored by the sensor.
pedestrian_countPedestrian count	int	Number of pedestrians counted during the interval.nombre de piétons
bike_countBike count	int	Number of cyclists counted during the interval.nombre de cyclistes
car_countCar count	int	Number of light vehicles counted during the interval.nombre de véhicules légers
heavy_vehicle_countHeavy vehicle count	int	Number of utility/heavy vehicles counted during the interval.nombre de véhicules type utilitaire
latitudeLatitude	double	Latitude coordinate of the sensor location.Latitude coordinate of the sensor location.
longitudeLongitude	double	Longitude coordinate of the sensor location.Longitude coordinate of the sensor location.
geo_pointGeo point	geo_point_2d	Geographic coordinates of the sensor location.Geographic coordinates of the sensor location.

Schema captured from opendatasoft 3 days 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.

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Sample data (5 records)

Record 1ended_at: 2025-11-24T06:00:00+00:00 · latitude: 43.60476

{
  "ended_at": "2025-11-24T06:00:00+00:00",
  "latitude": 43.60476,
  "car_count": 7,
  "direction": "vers place du Capitole",
  "geo_point": {
    "lat": 43.60476,
    "lon": 1.44226849
  },
  "longitude": 1.44226849,
  "bike_count": 2,
  "started_at": "2025-11-24T05:00:00+00:00",
  "street_name": "Rue Jean-Antoine Romiguières",
  "pedestrian_count": 20,
  "heavy_vehicle_count": 28
}

Record 2ended_at: 2025-01-10T19:00:00+00:00 · latitude: 43.592804

{
  "ended_at": "2025-01-10T19:00:00+00:00",
  "latitude": 43.592804,
  "car_count": 44,
  "direction": "vers rue Jules de Lahondes",
  "geo_point": {
    "lat": 43.592804,
    "lon": 1.43378329
  },
  "longitude": 1.43378329,
  "bike_count": 0,
  "started_at": "2025-01-10T18:00:00+00:00",
  "street_name": "Rue Sainte-Lucie",
  "pedestrian_count": 3,
  "heavy_vehicle_count": 6
}

Record 3ended_at: 2025-11-15T05:00:00+00:00 · latitude: 43.6058426

{
  "ended_at": "2025-11-15T05:00:00+00:00",
  "latitude": 43.6058426,
  "car_count": 4,
  "direction": "vers rue de l'Esquile",
  "geo_point": {
    "lat": 43.6058426,
    "lon": 1.44140863
  },
  "longitude": 1.44140863,
  "bike_count": 1,
  "started_at": "2025-11-15T04:00:00+00:00",
  "street_name": "Rue des Lois",
  "pedestrian_count": 7,
  "heavy_vehicle_count": 2
}

Record 4ended_at: 2025-11-14T21:00:00+00:00 · latitude: 43.59811

{
  "ended_at": "2025-11-14T21:00:00+00:00",
  "latitude": 43.59811,
  "car_count": 0,
  "direction": "vers rue Benoit Arzac",
  "geo_point": {
    "lat": 43.59811,
    "lon": 1.43267834
  },
  "longitude": 1.43267834,
  "bike_count": 79,
  "started_at": "2025-11-14T20:00:00+00:00",
  "street_name": "Rue de la République",
  "pedestrian_count": 120,
  "heavy_vehicle_count": 0
}

Record 5ended_at: 2025-03-24T06:00:00+00:00 · latitude: 43.6002235

{
  "ended_at": "2025-03-24T06:00:00+00:00",
  "latitude": 43.6002235,
  "car_count": 20,
  "direction": "vers rue de la Bourse",
  "geo_point": {
    "lat": 43.6002235,
    "lon": 1.44336224
  },
  "longitude": 1.44336224,
  "bike_count": 13,
  "started_at": "2025-03-24T05:00:00+00:00",
  "street_name": "Rue de Metz",
  "pedestrian_count": 30,
  "heavy_vehicle_count": 21
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL: https://data.toulouse-metropole.fr/api/explore/v2.1/catalog/datasets/comptages-routiers-et-pietons-2025

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ 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.

Full API documentation ↗

Rate limits

20 000 req/day

per ipmeasured

observed 3 days ago

Dataset

Volume & freshness

Records

509k

508628

Last upstream update

8 months ago

2026-02-18

Temporal coverage

2024 → 2024

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON

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