Effect of car acceleration on traffic flow in 1D stochastic CA model
Takashi Nagatani
Physica A: Statistical Mechanics and its Applications, 1996, vol. 223, issue 1, 137-148
Abstract:
The one-dimensional (1D) asymmetric simple-exclusion model with parallel update (the deterministic cellular automaton (CA) 184) is extended to take into account acceleration of cars. Velocity and acceleration are assigned to each particle (car). The acceleration of a car is determined by the dynamical equation of motion. The stochastic cellular automaton model mimics the traffic flow on a highway. In congested traffic flow, the properties of traffic jams are studied by computer simulation. The dependence of the propagating velocity of traffic jams upon car acceleration is shown. Also, a simple mean-field theory is given for the congested traffic flow. It is found that the propagating velocity of a traffic jam obtained from simulation agrees with the analytical result for not small values of car acceleration.
Date: 1996
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0378437195002928
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:223:y:1996:i:1:p:137-148
DOI: 10.1016/0378-4371(95)00292-8
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().