Open AccessA cellular automaton model of traffic considering the dynamic evolution of velocity randomization probability
Author(s) -
Jianxun Ding,
Hai-Jun Huang,
Tie-Qiao Tang
Publication year - 2009
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.58.7591
Subject(s) - cellular automaton , computer science , traffic model , randomization , statistical physics , automaton , algorithm , theoretical computer science , physics , medicine , surgery , randomized controlled trial , computer network
Few cellular automaton models of traffic have taken the relationship between the randomization probability of velocity and the specific value of current velocity into account. On the basis of Nagel-Schreckenberg model, this paper presents a modified cellular automaton model in which the randomization probability evolves with the driver’s remembering to historic experience and with the traffic condition around. Numerical simulation results show that the proposed model can reveal the influence of driver’s remembering on the traffic and generate higher average velocity and flux.