Analysis of a heterogeneous kinetic model for traffic flow

Abstract

In this work we extend a recent kinetic traffic model to the case of more than one class of vehicles, each of which is characterized by few different microscopic features. We consider a Boltzmann-like framework with only binary interactions, which take place among vehicles belonging to the various classes. Our approach differs from the multi-population kinetic model based on a lattice of speeds because here we assume continuous velocity spaces and we introduce a parameter describing the physical velocity jump performed by a vehicle that increases its speed after an interaction. The model is discretized in order to investigate numerically the structure of the resulting fundamental diagrams and the system of equations is analyzed by studying well posedness. Moreover, we compute the equilibria of the discretized model and we show that the exact asymptotic kinetic distributions can be obtained with a small number of velocities in the grid. Finally, we introduce a new probability law in order to attenuate the sharp capacity drop occurring in the diagrams of traffic.

31 pages

Cited by in corpus (6)

• Uncertainty damping in kinetic traffic models by driver-assist controls
• Kinetic models for traffic flow resulting in a reduced space of microscopic velocities
• Fundamental diagrams in traffic flow: the case of heterogeneous kinetic models
• Multivalued fundamental diagrams of traffic flow in the kinetic Fokker-Planck limit
• Hybrid stochastic kinetic description of two-dimensional traffic dynamics
• Reconstruction of traffic speed distributions from kinetic models with uncertainties