Macroscopic traffic models from microscopic car-following models
arXiv:cond-mat/0109519 · doi:10.1103/PhysRevE.64.056126
Abstract
We present a method to derive macroscopic fluid-dynamic models from microscopic car-following models via a coarse-graining procedure. The method is first demonstrated for the optimal velocity model. The derived macroscopic model consists of a conservation equation and a momentum equation, and the latter contains a relaxation term, an anticipation term, and a diffusion term. Properties of the resulting macroscopic model are compared with those of the optimal velocity model through numerical simulations, and reasonable agreement is found although there are deviations in the quantitative level. The derivation is also extended to general car-following models.
12 pages, 4 figures; to appear in Phys. Rev. E
Cited by in corpus (6)
- Mechanical restriction versus human overreaction triggering congested traffic states
- Information Super-Diffusion on Structured Networks
- Derivation of Non-Local Macroscopic Traffic Equations and Consistent Traffic Pressures from Microscopic Car-Following Models
- Steady state solutions of hydrodynamic traffic models
- Flow improvement caused by agents who ignore traffic rules
- Dissipation of traffic congestion using agent-based car-following model with modified optimal velocity