Two-dimensional macroscopic model for large scale traffic networks

Stéphane Mollier, Maria Laura Delle Monache, Carlos Canudas-de-Wit and Benjamin Seibold

Transportation Research Part B: Methodological, 2019, vol. 122, issue C, 309-326

Abstract: In this article we introduce a new traffic flow model for a dense urban area. We consider a two-dimensional conservation law in which the velocity magnitude is given by the fundamental diagram and the velocity direction is constructed following the network geometry and assuming we do not have precise information of drivers trajectories. We validate the model using synthetic data from Aimsun and propose a reconstruction technique to recover the 2D density from the data of individual vehicles. A comparison between the model and the data is shown.

Keywords: Macroscopic traffic flow model; Two-dimensional PDE; Kernel density estimation; Validation & simulation (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.trb.2019.02.016

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