Based on experimental traffic data obtained from German and US highways, we propose a novel two-dimensional first-order macroscopic traffic flow model. The goal is to reproduce a detailed description of traffic dynamics for the real road geometry. In our approach both the dynamics along the road and across the lanes is continuous. The closure relations, being necessary to complete the hydrodynamics equation, are obtained by regression on fundamental diagram data. Comparison with prediction of one-dimensional models shows the improvement in performance of the novel model.

A two-dimensional data-driven model for traffic flow on highways / Herty, M.; Fazekas, A.; Visconti, G.. - In: NETWORKS AND HETEROGENEOUS MEDIA. - ISSN 1556-1801. - 13:2(2018), pp. 217-240. [10.3934/nhm.2018010]

A two-dimensional data-driven model for traffic flow on highways

Visconti G.
2018

Abstract

Based on experimental traffic data obtained from German and US highways, we propose a novel two-dimensional first-order macroscopic traffic flow model. The goal is to reproduce a detailed description of traffic dynamics for the real road geometry. In our approach both the dynamics along the road and across the lanes is continuous. The closure relations, being necessary to complete the hydrodynamics equation, are obtained by regression on fundamental diagram data. Comparison with prediction of one-dimensional models shows the improvement in performance of the novel model.
2018
Data fitting; macroscopic model; traffic flow; trajectory data; two dimensional model; validation
01 Pubblicazione su rivista::01a Articolo in rivista
A two-dimensional data-driven model for traffic flow on highways / Herty, M.; Fazekas, A.; Visconti, G.. - In: NETWORKS AND HETEROGENEOUS MEDIA. - ISSN 1556-1801. - 13:2(2018), pp. 217-240. [10.3934/nhm.2018010]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1553430
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