A revised stochastic optimal velocity model considering the velocity gap with a preceding vehicle

Keizo Shigaki, Jun Tanimoto, Aya Hagishima

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The stochastic optimal velocity (SOV) model, which is a cellular automata model, has been widely used because of its good reproducibility of the fundamental diagram, despite its simplicity. However, it has a drawback: in SOV, a vehicle that is temporarily stopped takes a long time to restart. This study proposes a revised SOV model that suppresses this particular defect; the basic concept of this model is derived from the car-following model, which considers the velocity gap between a particular vehicle and the preceding vehicle. A series of simulations identifies the model parameters and clarifies that the proposed model can reproduce the three traffic phases: free, jam, and even synchronized phases, which cannot be achieved by the conventional SOV model.

Original languageEnglish
Pages (from-to)1005-1014
Number of pages10
JournalInternational Journal of Modern Physics C
Volume22
Issue number9
DOIs
Publication statusPublished - Sep 1 2011

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vehicles
Model
Car-following Model
Fundamental Diagram
Restart
Cellular Automaton Model
Reproducibility
Simplicity
cellular automata
Cellular automata
Defects
Traffic
traffic
Railroad cars
Series
diagrams
defects
Simulation
simulation

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Physics and Astronomy(all)
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

A revised stochastic optimal velocity model considering the velocity gap with a preceding vehicle. / Shigaki, Keizo; Tanimoto, Jun; Hagishima, Aya.

In: International Journal of Modern Physics C, Vol. 22, No. 9, 01.09.2011, p. 1005-1014.

Research output: Contribution to journalArticle

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