Road Traffic — Counting Sections — Department of Loiret — 2018

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Dataset information

Country of origin
Updated
2022.01.22 01:11
Created
2022.01.22
Available languages
French
Keywords
sections-de-comptage, infrastructures, route, transports, 2018, mobilite, donnees-ouvertes
Quality scoring
215

Dataset description

Geolocation of homogeneous traffic sections on the departmental road network of the Loiret accompanied by annual traffic indicators (TMJA all vehicles/Part of heavy goods vehicles as a percentage/TMJA heavy goods vehicles) — Edition 2018 **Collection context** Knowledge of the total traffic to be flowed on a road (all vehicles combined) is essential in order to give the track geometric characteristics in relation to its importance and the speeds used, to draw up accident checks and to propose route or safety arrangements. It is also essential to calculate the road structure necessary for rehabilitation or development projects, based on heavy goods traffic. **Collection method** The departmental road network has been divided into homogeneous traffic sections. In addition to permanent stations, temporary counts are carried out by D2I teams each year to complete the road traffic base. Each year, nearly 500 meter installation and deposit have been carried out on a time-by-day basis.In order to consolidate and secure the road traffic base, it was decided to count at least once every 5 years the traffic of each section. The counting frequency is calculated according to predefined criteria. For permanent traffic counting points (110 equipment), data collection and exploitation can be carried out with time steps, vehicle discrimination is effective on all these sites (TV/PL or VL/PL). Permanent traffic counting stations can be characterised by the type of data available: . 68 positions are able to return flow-type data with vehicle discrimination according to length. .42 stations are able to return data of type flow + speed with discrimination of vehicles according to length. Of the last 42 equipment, real-time data visualisation/collection is a priori possible, but requires a permanent BTI or GSM connection for each equipment. Thus road congestion can be visualised/analysed at these points of the network. An automatic data collection procedure at regular intervals may also be put in place to avoid permanent occupancy of BTI or GSM lines. **Attributes** | Champ | Alias | Type | | — | — | | — | | ‘ObjectID’ | ‘integer’ | | ‘ROUTE’ | ‘char’ | | ‘PRD’ | ‘double’ | | ‘ABD’ | ‘double’ | | ‘PRF’ | ‘double’ | | ‘ABF’ | ‘double’ | | ‘cumuld’ | ‘double’ | | ‘CUMULF’ | ‘double’ | | ‘IDROUTE’ | ‘char’ | ‘IDROUTE’ | | ‘PR_CPTGE’ | ‘char’ | ‘PR_CPTGE’ | | ‘PR_ORIG’ | ‘char’ | ‘PR_ORIG’ | | ‘PR_FIN’ | ‘char’ | ‘PR_FIN’ | ‘LIEU’ | ‘char’ | | ‘TYPE’ | ‘char’ | | ‘MJA’ | ‘double’ | | ‘PL’ | ‘double’ | | ‘MJA_PL’ | ‘double’ | | ‘CPTGE_YEAR’ | ‘double’ | | ‘VALUE_TYPE’ | ‘char’ | ‘VALUE_TYPE’ | | ‘CATEGORIE’ | ‘double’ | | ‘FORME_LENGTH’ | ‘double’ | | ‘SHAPE.LEN’ | ‘double’ | For more information, see [the metadata on the Isogeo catalog](https://open.isogeo.com/s/1742fb942d7b4756b9778c3b3cbc992e/HWglEr-z4Bry_rKQOTINX9gAH4Yu0/r/49c8eedc40ab4168b9c3b30312ec6831).
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