Control strategies for road risk mitigation in kinetic traffic modelling
Andrea Tosin, Mattia Zanella

TL;DR
This paper introduces a kinetic traffic model incorporating control strategies at the microscopic level to reduce speed-related road risks, simulating driver-assist vehicle effects on overall traffic safety.
Contribution
It presents a novel Boltzmann-type kinetic framework that integrates local control strategies to mitigate road risks in large-scale traffic dynamics.
Findings
Control strategies effectively reduce speed-dependent risk factors.
The model simulates driver-assist vehicle impacts on traffic safety.
Potential for improving road safety through microscopic control interventions.
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.
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