Routes for oversized/heavy convoys by tonnage in Rennes MétropoleItinéraires des convois exceptionnels selon leur tonnage sur Rennes Métropole
Itinéraires des convois exceptionnels selon leur tonnage sur Rennes MétropoleRoutes for oversized/heavy convoys by tonnage in Rennes Métropole
This API published by Rennes Métropole provides data on authorised routes for exceptional transport convoys, i.e. the movement of goods, machinery or vehicles whose dimensions or weight exceed regulatory limits and could disrupt traffic or cause accidents. Such transport requires prior authorisation, and the dataset defines the itineraries permitted according to convoy tonnage within the Rennes metropolitan area. It is intended to support transport operators, logistics planners and public authorities in identifying suitable and legally authorised routes for heavy or oversized loads.Un transport exceptionnel concerne la circulation en convoi exceptionnel de marchandises, engins ou véhicules dont les dimensions ou le poids dépassent les limites réglementaires et sont susceptibles de gêner la circulation ou de provoquer des accidents. Ce transport est soumis à une autorisation...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (5 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Central geographic coordinates (latitude, longitude) of the road segment.Central geographic coordinates (latitude, longitude) of the road segment. |
| geo_shapeShape | geo_shape | Geographic shape of the road segment as a GeoJSON geometry.Geographic shape of the road segment as a GeoJSON geometry. |
| gml_idGml id | text | Unique GML identifier for the road segment feature.Unique GML identifier for the road segment feature. |
| id | int | Internal numeric identifier for the record.Internal numeric identifier for the record. |
| tonnage | int | Maximum authorized tonnage allowed on this road segment.Maximum authorized tonnage allowed on this road segment. |
Schema captured from opendatasoft 6 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 1id: 10 · gml_id: voie_tonnage.10
{
"id": 10,
"gml_id": "voie_tonnage.10",
"tonnage": 120,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiLineString",
"coordinates": [
[
[
-1.67514247095217,
48.07996579522168
],
[
-1.675232069467212,
48.0797341193454
],
[
-1.675363590488612,
48.07959919312128
],
[
-1.67558588765353,
48.07948219904674
],
[
-1.675713475727787,
48.079456733260066
],
[
-1.67584758925503,
48.07943947194033
],
[
-1.675988271606667,
48.079445731648
],
[
-1.67611519647468,
48.07945894869144
],
[
-1.676223616781155,
48.07949499507863
],
[
-1.676319399787475,
48.07953552039977
],
[
-1.676407092460222,
48.07958024953422
],
[
-1.676480822790578,
48.079643027772335
],
[
-1.676532106960104,
48.079708882057155
],
[
-1.676573092077849,
48.079778309247374
],
[
-1.676596832625119,
48.079856277632075
],
[
-1.676602310882374,
48.07992859158126
],
[
-1.676591432301895,
48.08000292283126
],
[
-1.676561680044657,
48.08008117596139
],
[
-1.676505264951974,
48.08015159348113
],
[
-1.676429499184738,
48.080216220580205
],
[
-1.676364086735991,
48.080263035460696
],
[
-1.676267826678077,
48.0803077716332
],
[
-1.676152529956214,
48.08035463400312
],
[
-1.676017463226176,
48.0803895955192
],
[
-1.675848262897352,
48.080414411980904
],
[
-1.675476472472945,
48.08046062696602
],
[
-1.675206430021168,
48.08050509442195
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.07993507186242,
"lon": -1.6759247016112695
}
}Record 2id: 64 · gml_id: voie_tonnage.64
{
"id": 64,
"gml_id": "voie_tonnage.64",
"tonnage": 120,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiLineString",
"coordinates": [
[
[
-1.486638533530011,
48.1038192950218
],
[
-1.486674493668164,
48.10368859291612
],
[
-1.48672299895922,
48.10362775048239
],
[
-1.486785820407493,
48.10359091086621
],
[
-1.486855218320494,
48.10357346594365
],
[
-1.486974210470416,
48.10356390943432
],
[
-1.487974935261621,
48.103598538584585
],
[
-1.489844124042136,
48.10366319754083
],
[
-1.490417791611382,
48.10367175693202
],
[
-1.491134231455368,
48.10365326708953
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.10363093412594,
"lon": -1.4888189053597123
}
}Record 3id: 76 · gml_id: voie_tonnage.76
{
"id": 76,
"gml_id": "voie_tonnage.76",
"tonnage": 120,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiLineString",
"coordinates": [
[
[
-1.628086464000635,
48.09190536344633
],
[
-1.627807582567762,
48.09180917351216
],
[
-1.627100780230837,
48.091565384429956
],
[
-1.626788207845911,
48.091457570734946
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.09168146816989,
"lon": -1.6274373355510197
}
}Record 4id: 79 · gml_id: voie_tonnage.79
{
"id": 79,
"gml_id": "voie_tonnage.79",
"tonnage": 120,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiLineString",
"coordinates": [
[
[
-1.625165135949082,
48.090478212663584
],
[
-1.62526760210145,
48.09068580070135
],
[
-1.625621416735457,
48.09102556430175
],
[
-1.62590279981339,
48.09118864377403
],
[
-1.625985280691553,
48.09122950586379
],
[
-1.626102409208685,
48.09128777454098
],
[
-1.626305664909084,
48.091382579195084
],
[
-1.626598725001892,
48.09149437014934
],
[
-1.626756986479609,
48.091548192882094
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.09111148014038,
"lon": -1.625883672859933
}
}Record 5id: 85 · gml_id: voie_tonnage.85
{
"id": 85,
"gml_id": "voie_tonnage.85",
"tonnage": 120,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiLineString",
"coordinates": [
[
[
-1.643159756181724,
48.0842103915496
],
[
-1.643127806104008,
48.08410825479973
],
[
-1.643094431000057,
48.08396366654231
],
[
-1.643066019995495,
48.08382202690698
],
[
-1.643037365502265,
48.08378079176127
],
[
-1.642972509621974,
48.083717655738496
],
[
-1.642712511133698,
48.08349331595937
],
[
-1.642568594025756,
48.08338222984466
],
[
-1.642328062343124,
48.083234708033764
],
[
-1.642313129393902,
48.08322555013849
],
[
-1.641737383239107,
48.082953816583945
],
[
-1.640856329712919,
48.082582990382456
],
[
-1.640664914044962,
48.082467428214564
],
[
-1.640569382280128,
48.08234668825448
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 48.08315939458154,
"lon": -1.6419936771989634
}
}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/iti_convois_exceptionnels
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/iti_convois_exceptionnels/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.