Point Road Traffic SensorsCapteur de trafic routier ponctuel
Capteur de trafic routier ponctuelPoint Road Traffic Sensors
This dataset from Bordeaux Métropole provides the geolocation of point-based road traffic sensors installed on its road network, along with key statistics such as traffic volume and speed derived from the collected measurements. The sensors are used by Bordeaux Métropole to assess and monitor traffic conditions across its territory. The data can support traffic analysis, transport planning, and monitoring of road network performance within the metropolitan area.Dictionnaire Public Bordeaux Métropole réalise des comptages routier ponctuels sur son réseau pour évaluer l'état de la circulation sur son territoire. Ce jeu de données présente la géolocalisation de ces capteurs sur la chaussée et les principales statistiques (trafic et vitesse) issues du recue...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (20 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | — |
| — | geo_shapeShape | geo_shape | — |
| — | gid | int | Clé primaire |
| — | num_materielNum materiel | text | Numéro du matériel |
| — | type | text | Type de compteur |
| — | insee | text | Code INSEE de la commune |
| — | sens_orientationSens orientation | text | Sens de circulation |
| — | orientation | text | Orientation du sens de circulation |
| — | tmjo_tvTmjo tv | int | Nb moyen de véhicules jours ouvrés |
| — | tmjo_vlTmjo vl | int | Nb moyen de véhicules légers jours ouvrés |
| 99.8% | tmjo_plTmjo pl | int | Nb moyen de poids lourds jours ouvrés |
| 99.9% | hpm_tvHpm tv | int | Nb de véhicules à l'heure de pointe du matin |
| 99.9% | hps_tvHps tv | int | Nb de véhicules à l'heure de pointe du soir |
| 99.1% | v85_vlV85 vl | double | Vitesse en dessous de laquelle circulent 85 % des véhicules légers |
| 89% | v85_plV85 pl | double | Vitesse en dessous de laquelle circulent 85 % des poids lourds |
| 100% | annee | date | Année du levé |
| 100% | semaine | text | Semaine |
| 37.3% | orientation_av_2021Orientation av 2021 | text | Orientation du levé avant 2021 |
| 100% | cdate | datetime | Date de création |
| 100% | mdate | datetime | Date de modification |
Schema captured from opendatasoft 7 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.
Sample data (5 records)
Record 1gid: 367 · type: COMPTAGE_ROUTIER
{
"gid": 367,
"type": "COMPTAGE_ROUTIER",
"annee": "2015",
"cdate": "2023-12-15T16:00:22+00:00",
"insee": "33449",
"mdate": "2024-02-14T14:12:17+00:00",
"hpm_tv": 71,
"hps_tv": 113,
"v85_pl": 48,
"v85_vl": 60,
"semaine": "comptage du 24/03/2015 au 30/03/2015",
"tmjo_pl": 11,
"tmjo_tv": 1251,
"tmjo_vl": 1240,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.7357079,
44.8870999
]
},
"properties": {}
},
"orientation": null,
"geo_point_2d": {
"lat": 44.8870999,
"lon": -0.7357079
},
"num_materiel": null,
"sens_orientation": null,
"orientation_av_2021": "Vers la rue Georges Clémenceau"
}Record 2gid: 368 · type: COMPTAGE_ROUTIER
{
"gid": 368,
"type": "COMPTAGE_ROUTIER",
"annee": "2015",
"cdate": "2023-12-15T16:00:22+00:00",
"insee": "33449",
"mdate": "2024-02-14T14:12:17+00:00",
"hpm_tv": 84,
"hps_tv": 86,
"v85_pl": 51,
"v85_vl": 61,
"semaine": "comptage du 24/03/2015 au 30/03/2015",
"tmjo_pl": 13,
"tmjo_tv": 1208,
"tmjo_vl": 1195,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.7358369,
44.8877689
]
},
"properties": {}
},
"orientation": null,
"geo_point_2d": {
"lat": 44.8877689,
"lon": -0.7358369
},
"num_materiel": null,
"sens_orientation": null,
"orientation_av_2021": "Vers la rue Clément Ader"
}Record 3gid: 374 · type: COMPTAGE_ROUTIER
{
"gid": 374,
"type": "COMPTAGE_ROUTIER",
"annee": "2015",
"cdate": "2023-12-15T16:00:22+00:00",
"insee": "33449",
"mdate": "2024-02-14T14:12:17+00:00",
"hpm_tv": 224,
"hps_tv": 180,
"v85_pl": 59.2,
"v85_vl": 63.2,
"semaine": "comptage du 26/05/2015 au 01/06/2015",
"tmjo_pl": 87,
"tmjo_tv": 2242,
"tmjo_vl": 2155,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.723952,
44.8956059
]
},
"properties": {}
},
"orientation": null,
"geo_point_2d": {
"lat": 44.8956059,
"lon": -0.723952
},
"num_materiel": null,
"sens_orientation": null,
"orientation_av_2021": "Vers l'avenue Charles de Gaulle"
}Record 4gid: 376 · type: COMPTAGE_ROUTIER
{
"gid": 376,
"type": "COMPTAGE_ROUTIER",
"annee": "2015",
"cdate": "2023-12-15T16:00:22+00:00",
"insee": "33449",
"mdate": "2024-02-14T14:12:17+00:00",
"hpm_tv": 66,
"hps_tv": 83,
"v85_pl": 55.2,
"v85_vl": 59.5,
"semaine": "comptage du 28/02/2015 au 06/03/2015",
"tmjo_pl": 15,
"tmjo_tv": 875,
"tmjo_vl": 860,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.7227669,
44.8993249
]
},
"properties": {}
},
"orientation": null,
"geo_point_2d": {
"lat": 44.8993249,
"lon": -0.7227669
},
"num_materiel": null,
"sens_orientation": null,
"orientation_av_2021": "Vers la rue Frédéric Mistral"
}Record 5gid: 377 · type: COMPTAGE_ROUTIER
{
"gid": 377,
"type": "COMPTAGE_ROUTIER",
"annee": "2015",
"cdate": "2023-12-15T16:00:22+00:00",
"insee": "33449",
"mdate": "2024-02-14T14:12:17+00:00",
"hpm_tv": 143,
"hps_tv": 56,
"v85_pl": 52.4,
"v85_vl": 54.2,
"semaine": "comptage du 28/02/2015 au 06/03/2015",
"tmjo_pl": 11,
"tmjo_tv": 626,
"tmjo_vl": 615,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.718754,
44.9021019
]
},
"properties": {}
},
"orientation": null,
"geo_point_2d": {
"lat": 44.9021019,
"lon": -0.718754
},
"num_materiel": null,
"sens_orientation": null,
"orientation_av_2021": "Vers le chemin de Cassy Vigney"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/pc_capte_ponct_p
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/pc_capte_ponct_p/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.