Back to Search
Start Over
Construction and simulation of a novel continuous traffic flow model
- Source :
- Journal of Computational Physics. 350:927-950
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- In this paper, we aim to propose a novel mathematical model for traffic flow and apply a newly developed characteristic particle method to solve the associate governing equations. As compared with the existing non-equilibrium higher-order traffic flow models, the present one is put forward to satisfy the following three conditions: 1. Preserve the equilibrium state in the smooth region. 2. Yield an anisotropic propagation of traffic flow information. 3. Expressed with a conservation law form for traffic momentum. These conditions will ensure a more practical simulation in traffic flow physics: The current traffic will not be influenced by the condition in the behind and result in unambiguous condition across a traffic shock. Through analyses of characteristics, stability condition and steady-state solution adherent to the equation system, it is shown that the proposed model actually conform to these conditions. Furthermore, this model can be cast into its characteristic form which, incorporated with the Rankine-Hugoniot relation, is appropriate to be simulated by the characteristic particle method to obtain accurate computational results.
- Subjects :
- Numerical Analysis
Conservation law
Physics and Astronomy (miscellaneous)
Shock (fluid dynamics)
Relation (database)
Thermodynamic equilibrium
Applied Mathematics
Traffic flow
01 natural sciences
Stability (probability)
010305 fluids & plasmas
Computer Science Applications
010101 applied mathematics
Momentum
Computational Mathematics
Microscopic traffic flow model
Modeling and Simulation
0103 physical sciences
Applied mathematics
0101 mathematics
Simulation
Mathematics
Subjects
Details
- ISSN :
- 00219991
- Volume :
- 350
- Database :
- OpenAIRE
- Journal :
- Journal of Computational Physics
- Accession number :
- edsair.doi...........8b926b33ab05b2ff11fd3eafb5b4ca1a