A cellular automata model of traffic flow with variable probability of randomization

doi:10.1088/1674-1056/24/5/058902

Abstract Research on the stochastic behavior of traffic flow is important to understand the intrinsic evolution rules of a traffic system. By introducing an interactional potential of vehicles into the randomization step, an improved cellular automata traffic flow model with variable probability of randomization is proposed in this paper. In the proposed model, the driver is affected by the interactional potential of vehicles before him, and his decision-making process is related to the interactional potential. Compared with the traditional cellular automata model, the modeling is more suitable for the driver's random decision-making process based on the vehicle and traffic situations in front of him in actual traffic. From the improved model, the fundamental diagram (flow–density relationship) is obtained, and the detailed high-density traffic phenomenon is reproduced through numerical simulation.

Keywords: traffic flow interactional potential probability of randomization cellular automata

Received: 25 September 2014
Revised: 01 December 2014
Accepted manuscript online:

PACS:	89.40.Bb	(Land transportation)
	02.50.-r	(Probability theory, stochastic processes, and statistics)
	05.10.Ln	(Monte Carlo methods)

Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 11172247, 61273021, 61373009, and 61100118).

Corresponding Authors: Zhang Ji-Ye
E-mail: jyzhang@home.swjtu.edu.cn

About author: 89.40.Bb; 02.50.-r; 05.10.Ln

Cite this article:

Zheng Wei-Fan (郑伟范), Zhang Ji-Ye (张继业) A cellular automata model of traffic flow with variable probability of randomization 2015 Chin. Phys. B 24 058902

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