A two-dimensional data-driven model for traffic flow on highways
Physics and Society
2017-11-10 v3 Numerical Analysis
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 dynamic along the road and across the lanes is continuous. The closure relations, being necessary to complete the hydrodynamic 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.
Cite
@article{arxiv.1706.07965,
title = {A two-dimensional data-driven model for traffic flow on highways},
author = {Michael Herty and Adrian Fazekas and Giuseppe Visconti},
journal= {arXiv preprint arXiv:1706.07965},
year = {2017}
}
Comments
27 pages