A two-dimensional data-driven model for traffic flow on highways
This work addresses the need for more accurate traffic flow modeling for highway traffic management, but the improvement is incremental over existing one-dimensional models.
The authors propose a two-dimensional first-order macroscopic traffic flow model using experimental data from German and US highways, achieving improved performance over one-dimensional models in reproducing traffic dynamics for real road geometry.
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.