A new stochastic cellular automata model for traffic flow simulation with drivers' behavior prediction

被引：34

作者：

Zamith, Marcelo ^{[1
]}

Leal-Toledo, Regina Celia P. ^{[2
]}

Clua, Esteban ^{[2
]}

Toledo, Elson M. ^{[3
,4
]}

de Magalhaes, Guilherme V. P. ^{[2
]}

机构：

[1] Univ Fed Rural Rio de Janeiro, Rio De Janeiro, Brazil

[2] Univ Fed Fluminense, BR-24220000 Niteroi, RJ, Brazil

[3] LNCC, Rio De Janeiro, Brazil

[4] Univ Fed Juiz de Fora, Juiz De Fora, MG, Brazil

来源：

JOURNAL OF COMPUTATIONAL SCIENCE | 2015年 / 9卷

关键词：

Cellular automata; Traffic flow modeling; Drivers' behaviors; Stochastic model; Numerical simulation;

D O I：

10.1016/j.jocs.2015.04.005

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this work, we introduce a novel, flexible and robust traffic flow cellular automata model. Our proposal includes two important stages that make possible the consideration of different profiles of drivers' behavior in a simple way. We first consider the motion expectation of vehicles that are in front of each driver. Secondly, we define how a specific vehicle decides to get around, considering the foreground traffic configuration. Our model uses stochastic rules for both situations, using the Probability Density Function of the Beta Distribution to model three drivers' behavior, adjusting different parameters of the Beta Distribution for each one. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：51 / 56

页数：6

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