The Aw–Rascle Traffic Model: Enskog-Type Kinetic Derivation and Generalisations
Creators
- 1. University of Ferrara. Department of Mathematics and Computer Sciences (Italy)
- 2. Politecnico di Torino. Department of Mathematical Sciences "G. L. Lagrange" (Italy)
Description
We study the derivation of second order macroscopic traffic models from kinetic descriptions. In particular, we recover the celebrated Aw–Rascle model as the hydrodynamic limit of an Enskog-type kinetic equation out of a precise characterisation of the microscopic binary interactions among the vehicles. Unlike other derivations available in the literature, our approach unveils the multiscale physics behind the Aw–Rascle model. This further allows us to generalise it to a new class of second order macroscopic models complying with the Aw–Rascle consistency condition, namely the fact that no wave should travel faster than the mean traffic flow.
Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Statistical Physics
- Journal Volume
- 178
- Journal Issue
- 1
- Journal Page Range
- p. 178-210
- ISSN
- 0022-4715
- CODEN
- JSTPBS
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55090420
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- CONTINUED FRACTIONS; CONTROL THEORY; DIFFERENTIAL EQUATIONS; DYNAMICAL SYSTEMS; FLOW MODELS; FLUID FLOW; GRAPH THEORY; HYDRODYNAMICS; INTERACTIONS; KINETIC EQUATIONS; KINETICS; MATHEMATICAL EVOLUTION; MATHEMATICAL MODELS; SIMULATION; STATISTICAL MECHANICS; VEHICLES
- Descriptors DEC
- EQUATIONS; EVOLUTION; FLUID MECHANICS; MATHEMATICAL MODELS; MATHEMATICS; MECHANICS
Optional Information
- Copyright
- Copyright (c) 2019 © Springer Science+Business Media, LLC, part of Springer Nature 2019