A macro traffic flow model with probability distribution function

  • Hui Ou
  • , Tie Qiao Tang*
  • , Jian Zhang
  • , Jie Ming Zhou
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we introduce three probability distribution functions into the dynamic equation and propose a macro traffic flow model to investigate the impacts of the probability distribution functions on the evolutions of traffic flow under three typical states (i.e., uniform flow, shock, rarefaction wave, and small perturbation). The numerical results indicate that the probability distribution functions do not change the density and speed distributions of uniform flow, produce a two-layer shock but have no prominent effects on rarefaction wave, and have little effect on small perturbation.

Original languageEnglish
Pages (from-to)2819-2824
Number of pages6
JournalPhysics Letters, Section A: General, Atomic and Solid State Physics
Volume382
Issue number39
DOIs
StatePublished - 5 Oct 2018

Keywords

  • Evolution
  • Macro traffic flow model
  • Probability distribution

Fingerprint

Dive into the research topics of 'A macro traffic flow model with probability distribution function'. Together they form a unique fingerprint.

Cite this