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Preprints, Working Papers, ... Year : 2016

Mesoscopic multiclass traffic flow modeling on multi-lane sections

Abstract

The aim of this paper is to propose a new event-based mesoscopic approach to model multi-class traffic flow on multi-lane road sections. The mesoscopic model was first proposed by Leclercq and Bécarie (2012) and turns out to be equivalent to the resolution of the seminal LWR model in lagrangian-space coordinates n − x. It is fully consistent at a macroscopic scale with the LWR model while keeping track of individual vehicles. Our model is built on Hamilton-Jacobi equations which have been proven to provide an efficient framework in traffic flow modeling for exact numerical methods at a low computational cost. The paper revisits the multi-class problem with a continuous moving bottleneck approach (instead of a sequential one), introducing a capacity drop parameter for multi-lane sections. It also overhauls the Daganzo diverge model with a relaxed FIFO assumption.
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Dates and versions

hal-01250438 , version 1 (04-01-2016)
hal-01250438 , version 2 (05-01-2016)

Identifiers

  • HAL Id : hal-01250438 , version 1

Cite

Guillaume Costeseque, Aurélien Duret. Mesoscopic multiclass traffic flow modeling on multi-lane sections. 2016. ⟨hal-01250438v1⟩
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