Register record·API·FRVERIFIED · checked 3d ago
C
Comptage du trafic 2022 Bordeaux Métropole
Bordeaux Métropole a installé un réseau de capteurs pour évaluer l'état de la circulation sur son territoire. Ce trafic peut être consulté en temps réel sur http://sedeplacer.bordeaux-metropole.fr/ Ce jeu présente des données alphanumériques qui informent sur les valeurs moyennes annuelles à l'he...
Trust score
How is this computed?42
fair
Weighted across five axes. Tap a ring for what it measures.
Data schema (16 fields)
Filterable via the API (16)
identhpm_valhps_valmjo_valhpmhpsmjopl_valplvit_valvit_evocommentnom_voiesens_cirv85_vlv85_pl
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | ident | text | Unique identifier of the traffic sensor or counting point.Unique identifier of the traffic sensor or counting point. |
| 100% | hpm_valHpm val | int | Traffic volume during the morning peak hour.Traffic volume during the morning peak hour. |
| 100% | hps_valHps val | int | Traffic volume during the evening peak hour.Traffic volume during the evening peak hour. |
| 100% | mjo_valMjo val | int | Average daily traffic on working days.Average daily traffic on working days. |
| 94.6% | hpm | double | Year-on-year evolution rate of morning peak hour traffic, in percent.Year-on-year evolution rate of morning peak hour traffic, in percent. |
| 95.1% | hps | double | Year-on-year evolution rate of evening peak hour traffic, in percent.Year-on-year evolution rate of evening peak hour traffic, in percent. |
| 95.1% | mjo | double | Year-on-year evolution rate of average daily working-day traffic, in percent.Year-on-year evolution rate of average daily working-day traffic, in percent. |
| 15% | pl_valPl val | int | Number or share of heavy goods vehicles counted.Number or share of heavy goods vehicles counted. |
| 13.7% | pl | double | Year-on-year evolution rate of heavy goods vehicle traffic, in percent.Year-on-year evolution rate of heavy goods vehicle traffic, in percent. |
| 14.7% | vit_valVit val | int | Average vehicle speed recorded at the sensor.Average vehicle speed recorded at the sensor. |
| 14.2% | vit_evoVit evo | double | Year-on-year evolution rate of average vehicle speed, in percent.Year-on-year evolution rate of average vehicle speed, in percent. |
| 0% | comment | text | Free-text comment or remark about the counting point.Free-text comment or remark about the counting point. |
| 100% | nom_voieNom voie | text | Name and location of the road where the sensor is installed.Name and location of the road where the sensor is installed. |
| 99% | sens_cirSens cir | text | Direction of traffic flow monitored by the sensor.Direction of traffic flow monitored by the sensor. |
| 0% | v85_vlV85 vl | double | 85th percentile speed of light vehicles.85th percentile speed of light vehicles. |
| 0% | v85_plV85 pl | double | 85th percentile speed of heavy goods vehicles.85th percentile speed of heavy goods vehicles. |
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 1pl: — · hpm: -6.7
{
"pl": null,
"hpm": -6.7,
"hps": -4.5,
"mjo": -6.1,
"ident": "Z11CT10",
"pl_val": null,
"v85_pl": null,
"v85_vl": null,
"comment": null,
"hpm_val": 1098,
"hps_val": 1250,
"mjo_val": 15384,
"vit_evo": null,
"vit_val": null,
"nom_voie": "Bordeaux Blvd Roosevelt après Rue Hoche",
"sens_cir": "Nord > Sud"
}Record 2pl: — · hpm: -2.6
{
"pl": null,
"hpm": -2.6,
"hps": 4.8,
"mjo": -2.4,
"ident": "Z12CT11",
"pl_val": null,
"v85_pl": null,
"v85_vl": null,
"comment": null,
"hpm_val": 503,
"hps_val": 610,
"mjo_val": 7848,
"vit_evo": null,
"vit_val": null,
"nom_voie": "Bordeaux 149 Blvd Albert 1er",
"sens_cir": "Nord > Sud"
}Record 3pl: — · hpm: —
{
"pl": null,
"hpm": null,
"hps": null,
"mjo": null,
"ident": "Z14CT10",
"pl_val": null,
"v85_pl": null,
"v85_vl": null,
"comment": null,
"hpm_val": 988,
"hps_val": 1005,
"mjo_val": 14181,
"vit_evo": null,
"vit_val": null,
"nom_voie": "Bordeaux Blvd A. Daney avant Ravesies",
"sens_cir": "Nord > Sud"
}Record 4pl: — · hpm: -1.9
{
"pl": null,
"hpm": -1.9,
"hps": -0.8,
"mjo": -0.7,
"ident": "Z14CT23",
"pl_val": null,
"v85_pl": null,
"v85_vl": null,
"comment": null,
"hpm_val": 494,
"hps_val": 535,
"mjo_val": 7088,
"vit_evo": null,
"vit_val": null,
"nom_voie": "Bordeaux Brazza avant le pont",
"sens_cir": "Sud > Nord"
}Record 5pl: — · hpm: 16.5
{
"pl": null,
"hpm": 16.5,
"hps": 3.5,
"mjo": 0.8,
"ident": "Z14CT5",
"pl_val": null,
"v85_pl": null,
"v85_vl": null,
"comment": null,
"hpm_val": 519,
"hps_val": 549,
"mjo_val": 7046,
"vit_evo": null,
"vit_val": null,
"nom_voie": "Bordeaux Allée de Boutaut",
"sens_cir": "Sens Sortant"
}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/comptage_trafic_2022
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/comptage_trafic_2022/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
50 000 req/day
per ipmeasured
observed 7 days ago
Dataset
Volume & freshness
Records
408
Last upstream update
4 years ago
2023-03-01
License
No license declared upstream.
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Source: opendatasoft
Machine-readable & source
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