Control strategies for road risk mitigation in kinetic traffic modelling

Abstract

In this paper we present a Boltzmann-type kinetic approach to the modelling of road traffic, which includes control strategies at the level of microscopic binary interactions aimed at the mitigation of speed-dependent road risk factors. Such a description is meant to mimic a system of driver-assist vehicles, which by responding locally to the actions of their drivers can impact on the large-scale traffic dynamics, including those related to the collective road risk and safety.

References in corpus (1)

• Boltzmann type control of opinion consensus through leaders

Cited by in corpus (6)

• Kinetic-controlled hydrodynamics for traffic models with driver-assist vehicles
• Model-based assessment of the impact of driver-assist vehicles using kinetic theory
• Uncertainty damping in kinetic traffic models by driver-assist controls
• Hybrid stochastic kinetic description of two-dimensional traffic dynamics
• Reconstruction of traffic speed distributions from kinetic models with uncertainties
• Kinetic derivation of Aw-Rascle-Zhang-type traffic models with driver-assist vehicles