Road Traffic Counts by Station on Rennes MétropoleComptages routiers à la station sur Rennes Métropole
Comptages routiers à la station sur Rennes MétropoleRoad Traffic Counts by Station on Rennes Métropole
This dataset, published by Rennes Métropole, provides statistics from road traffic counting stations across the Rennes Métropole area. Because the records include a strong time-based component, the data can be difficult to exploit outside the geographic data portal on which it is made available. It is primarily intended for viewing through that portal rather than for direct reuse elsewhere, and offers insight into traffic volumes measured at individual counting stations across the metropolitan area.Cette couche de données, disponible uniquement sur le portail des données géographiques, permet de consulter des statistiques issues des stations de comptage routier sur Rennes Métropole. /!\ Ces données ont une composante "temps" qui rend difficile leur exploitation en-dehors du Portail de donné...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (34 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | Geographic coordinates of the counting station.Geographic coordinates of the counting station. |
| — | geo_shapeShape | geo_shape | Geographic shape (point geometry) of the counting station.Geographic shape (point geometry) of the counting station. |
| — | code_rmCode rm | text | Unique code identifying the traffic counting station.Unique code identifying the traffic counting station. |
| — | annee | int | Year of the traffic count data.Year of the traffic count data. |
| — | sens | text | Direction of traffic flow measured at the station.Direction of traffic flow measured at the station. |
| — | nb_semainesNb semaines | double | Number of weeks of data used for the statistics.Number of weeks of data used for the statistics. |
| — | fiabilite | text | Reliability indicator of the data, shown as a color code.Reliability indicator of the data, shown as a color code. |
| — | wms_timeWms time | datetime | Timestamp used for the WMS time-based display.Timestamp used for the WMS time-based display. |
| — | tmja_tvTmja tv | double | Annual average daily traffic volume, all vehicles.Annual average daily traffic volume, all vehicles. |
| — | tmja_tv_formateTmja tv formate | text | Formatted (rounded, readable) annual average daily traffic, all vehicles.Formatted (rounded, readable) annual average daily traffic, all vehicles. |
| 100% | tmja_tv_cartoTmja tv carto | double | Cartographic (map display) value of annual average daily traffic, all vehicles.Cartographic (map display) value of annual average daily traffic, all vehicles. |
| 71% | v85_tvV85 tv | double | 85th percentile speed of all vehicles, in km/h.85th percentile speed of all vehicles, in km/h. |
| 71% | v85_tv_formateV85 tv formate | text | Formatted 85th percentile speed value, all vehicles.Formatted 85th percentile speed value, all vehicles. |
| 71% | v_moyenne_tvV moyenne tv | double | Average speed of all vehicles, in km/h.Average speed of all vehicles, in km/h. |
| 71% | v_moyenne_tv_formateV moyenne tv formate | text | Formatted average speed value, all vehicles.Formatted average speed value, all vehicles. |
| 99.4% | debit_hpm_tvDebit hpm tv | double | Traffic flow rate during the morning peak hour, all vehicles.Traffic flow rate during the morning peak hour, all vehicles. |
| 99.4% | debit_hpm_tv_formateDebit hpm tv formate | text | Formatted morning peak hour traffic flow, all vehicles.Formatted morning peak hour traffic flow, all vehicles. |
| 99.4% | debit_hpm_tv_cartoDebit hpm tv carto | double | Cartographic value of morning peak hour traffic flow, all vehicles.Cartographic value of morning peak hour traffic flow, all vehicles. |
| 99.4% | debit_hps_tvDebit hps tv | double | Traffic flow rate during the evening peak hour, all vehicles.Traffic flow rate during the evening peak hour, all vehicles. |
| 99.4% | debit_hps_tv_formateDebit hps tv formate | text | Formatted evening peak hour traffic flow, all vehicles.Formatted evening peak hour traffic flow, all vehicles. |
| 99.4% | debit_hps_tv_cartoDebit hps tv carto | double | Cartographic value of evening peak hour traffic flow, all vehicles.Cartographic value of evening peak hour traffic flow, all vehicles. |
| 43.9% | tmja_plTmja pl | double | Annual average daily traffic volume of heavy goods vehicles.Annual average daily traffic volume of heavy goods vehicles. |
| 43.9% | tmja_pl_formateTmja pl formate | text | Formatted annual average daily traffic value for heavy goods vehicles.Formatted annual average daily traffic value for heavy goods vehicles. |
| 43.9% | tmja_pl_cartoTmja pl carto | double | Cartographic value of annual average daily traffic for heavy goods vehicles.Cartographic value of annual average daily traffic for heavy goods vehicles. |
| 43.8% | v85_plV85 pl | double | 85th percentile speed of heavy goods vehicles, in km/h.85th percentile speed of heavy goods vehicles, in km/h. |
| 43.8% | v85_pl_formateV85 pl formate | text | Formatted 85th percentile speed value for heavy goods vehicles.Formatted 85th percentile speed value for heavy goods vehicles. |
| 43.8% | v_moyenne_plV moyenne pl | double | Average speed of heavy goods vehicles, in km/h.Average speed of heavy goods vehicles, in km/h. |
| 43.8% | v_moyenne_pl_formateV moyenne pl formate | text | Formatted average speed value for heavy goods vehicles.Formatted average speed value for heavy goods vehicles. |
| 43.9% | debit_hpm_plDebit hpm pl | double | Traffic flow rate during the morning peak hour, heavy goods vehicles.Traffic flow rate during the morning peak hour, heavy goods vehicles. |
| 43.9% | debit_hpm_pl_formateDebit hpm pl formate | text | Formatted morning peak hour traffic flow, heavy goods vehicles.Formatted morning peak hour traffic flow, heavy goods vehicles. |
| 43.9% | debit_hpm_pl_cartoDebit hpm pl carto | double | Cartographic value of morning peak hour traffic flow, heavy goods vehicles.Cartographic value of morning peak hour traffic flow, heavy goods vehicles. |
| 43.9% | debit_hps_plDebit hps pl | double | Traffic flow rate during the evening peak hour, heavy goods vehicles.Traffic flow rate during the evening peak hour, heavy goods vehicles. |
| 43.9% | debit_hps_pl_formateDebit hps pl formate | text | Formatted evening peak hour traffic flow, heavy goods vehicles.Formatted evening peak hour traffic flow, heavy goods vehicles. |
| 43.9% | debit_hps_pl_cartoDebit hps pl carto | double | Cartographic value of evening peak hour traffic flow, heavy goods vehicles.Cartographic value of evening peak hour traffic flow, heavy goods vehicles. |
Schema captured from opendatasoft 2 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)
These rows are ODbL-1.0: share-alike. Reusing them obliges you to license any derived database on the same terms.
Record 1sens: Sud-Nord / Est-Ouest · annee: 2025
{
"sens": "Sud-Nord / Est-Ouest",
"annee": 2025,
"v85_pl": 38.7,
"v85_tv": 38.6,
"code_rm": "RL335.6",
"tmja_pl": 4.4,
"tmja_tv": 176.8,
"wms_time": null,
"fiabilite": "#a5acb1",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-1.711998807223589,
48.07741905119281
]
},
"properties": {}
},
"nb_semaines": 0.7,
"debit_hpm_pl": 0,
"debit_hpm_tv": 23.2,
"debit_hps_pl": 0.2,
"debit_hps_tv": 16.6,
"geo_point_2d": {
"lat": 48.07741905119281,
"lon": -1.7119988072235892
},
"v_moyenne_pl": 32,
"v_moyenne_tv": 30.8,
"tmja_pl_carto": 1.2,
"tmja_tv_carto": 7.7,
"v85_pl_formate": "39",
"v85_tv_formate": "39",
"tmja_pl_formate": "4",
"tmja_tv_formate": "177",
"debit_hpm_pl_carto": 0,
"debit_hpm_tv_carto": 2.8,
"debit_hps_pl_carto": 0.3,
"debit_hps_tv_carto": 2.4,
"debit_hpm_pl_formate": "0",
"debit_hpm_tv_formate": "23",
"debit_hps_pl_formate": "0",
"debit_hps_tv_formate": "17",
"v_moyenne_pl_formate": "32",
"v_moyenne_tv_formate": "31"
}Record 2sens: Nord-Sud / Ouest-Est · annee: 2019
{
"sens": "Nord-Sud / Ouest-Est",
"annee": 2019,
"v85_pl": null,
"v85_tv": 57.4,
"code_rm": "V6A35.9",
"tmja_pl": null,
"tmja_tv": 6766,
"wms_time": null,
"fiabilite": "#a5acb1",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-1.640593387447666,
48.096568226219176
]
},
"properties": {}
},
"nb_semaines": 0.1,
"debit_hpm_pl": null,
"debit_hpm_tv": 747,
"debit_hps_pl": null,
"debit_hps_tv": 525,
"geo_point_2d": {
"lat": 48.096568226219176,
"lon": -1.6405933874476664
},
"v_moyenne_pl": null,
"v_moyenne_tv": 48.2,
"tmja_pl_carto": null,
"tmja_tv_carto": 47.5,
"v85_pl_formate": null,
"v85_tv_formate": "57",
"tmja_pl_formate": null,
"tmja_tv_formate": "6 766",
"debit_hpm_pl_carto": null,
"debit_hpm_tv_carto": 15.8,
"debit_hps_pl_carto": null,
"debit_hps_tv_carto": 13.2,
"debit_hpm_pl_formate": null,
"debit_hpm_tv_formate": "747",
"debit_hps_pl_formate": null,
"debit_hps_tv_formate": "525",
"v_moyenne_pl_formate": null,
"v_moyenne_tv_formate": "48"
}Record 3sens: Sud-Nord / Est-Ouest · annee: 2017
{
"sens": "Sud-Nord / Est-Ouest",
"annee": 2017,
"v85_pl": 38.9,
"v85_tv": 39.1,
"code_rm": "SU735.Q",
"tmja_pl": 85.7,
"tmja_tv": 2656.7,
"wms_time": null,
"fiabilite": "#a5acb1",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-1.944960490424013,
48.29644434647508
]
},
"properties": {}
},
"nb_semaines": 1,
"debit_hpm_pl": 14.6,
"debit_hpm_tv": 245.2,
"debit_hps_pl": 9.6,
"debit_hps_tv": 273.2,
"geo_point_2d": {
"lat": 48.29644434647508,
"lon": -1.9449604904240134
},
"v_moyenne_pl": 27.9,
"v_moyenne_tv": 29.3,
"tmja_pl_carto": 5.3,
"tmja_tv_carto": 29.8,
"v85_pl_formate": "39",
"v85_tv_formate": "39",
"tmja_pl_formate": "86",
"tmja_tv_formate": "2 657",
"debit_hpm_pl_carto": 2.2,
"debit_hpm_tv_carto": 9,
"debit_hps_pl_carto": 1.8,
"debit_hps_tv_carto": 9.5,
"debit_hpm_pl_formate": "15",
"debit_hpm_tv_formate": "245",
"debit_hps_pl_formate": "10",
"debit_hps_tv_formate": "273",
"v_moyenne_pl_formate": "28",
"v_moyenne_tv_formate": "29"
}Record 4sens: Sens cumulés · annee: 2010
{
"sens": "Sens cumulés",
"annee": 2010,
"v85_pl": null,
"v85_tv": 48.6,
"code_rm": "V9E35.3",
"tmja_pl": null,
"tmja_tv": 10579,
"wms_time": null,
"fiabilite": "#a5acb1",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-1.679631471628558,
48.10745630468709
]
},
"properties": {}
},
"nb_semaines": 0.1,
"debit_hpm_pl": null,
"debit_hpm_tv": 1078,
"debit_hps_pl": null,
"debit_hps_tv": 873,
"geo_point_2d": {
"lat": 48.10745630468709,
"lon": -1.6796314716285579
},
"v_moyenne_pl": null,
"v_moyenne_tv": 37.9,
"tmja_pl_carto": null,
"tmja_tv_carto": 59.4,
"v85_pl_formate": null,
"v85_tv_formate": "49",
"tmja_pl_formate": null,
"tmja_tv_formate": "10 579",
"debit_hpm_pl_carto": null,
"debit_hpm_tv_carto": 19,
"debit_hps_pl_carto": null,
"debit_hps_tv_carto": 17.1,
"debit_hpm_pl_formate": null,
"debit_hpm_tv_formate": "1 078",
"debit_hps_pl_formate": null,
"debit_hps_tv_formate": "873",
"v_moyenne_pl_formate": null,
"v_moyenne_tv_formate": "38"
}Record 5sens: Sud-Nord / Est-Ouest · annee: 2010
{
"sens": "Sud-Nord / Est-Ouest",
"annee": 2010,
"v85_pl": null,
"v85_tv": 38.4,
"code_rm": "V2E35.1",
"tmja_pl": null,
"tmja_tv": 6264,
"wms_time": null,
"fiabilite": "#a5acb1",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-1.685171842576688,
48.13311394837168
]
},
"properties": {}
},
"nb_semaines": 0.1,
"debit_hpm_pl": null,
"debit_hpm_tv": 424,
"debit_hps_pl": null,
"debit_hps_tv": 633,
"geo_point_2d": {
"lat": 48.13311394837168,
"lon": -1.6851718425766884
},
"v_moyenne_pl": null,
"v_moyenne_tv": 29.4,
"tmja_pl_carto": null,
"tmja_tv_carto": 45.7,
"v85_pl_formate": null,
"v85_tv_formate": "38",
"tmja_pl_formate": null,
"tmja_tv_formate": "6 264",
"debit_hpm_pl_carto": null,
"debit_hpm_tv_carto": 11.9,
"debit_hps_pl_carto": null,
"debit_hps_tv_carto": 14.5,
"debit_hpm_pl_formate": null,
"debit_hpm_tv_formate": "424",
"debit_hps_pl_formate": null,
"debit_hps_tv_formate": "633",
"v_moyenne_pl_formate": null,
"v_moyenne_tv_formate": "29"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/comptages-routiers-station
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/comptages-routiers-station/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
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