An improved cellular automaton model considering the effect of traffic lights and driving behaviour

doi:10.1088/1674-1056/20/4/040514

Abstract This paper proposes an improved cellular automaton model to describe the urban traffic flow with the consideration of traffic light and driving behaviour effects. Based on the model, the characteristics of the urban traffic flow on a single-lane road are investigated under three different control strategies, i.e., the synchronized, the green wave and the random strategies. The fundamental diagrams and time-space patterns of the traffic flows are provided for these strategies respectively. It finds that the dynamical transition to the congested flow appears when the vehicle density is higher than a critical level. The saturated flow is less dependent on the cycle time and the strategies of the traffic light control, while the critical vehicle density varies with the cycle time and the strategies. Simulated results indicate that the green wave strategy is proven to be the most effective one among the above three control strategies.

Keywords: traffic flow cellular automaton control strategy vehicle density

Received: 24 September 2010
Revised: 05 November 2010
Accepted manuscript online:

PACS:	05.50.+q	(Lattice theory and statistics)
	64.70.-p	(Specific phase transitions)
	64.75.-g	(Phase equilibria)

Fund: Project supported by the Strategic Research Grants from City University of Hong Kong [Project No. CityU-SRG 7002370] and the National Natural Science Foundation of China (Grant No. 10972135), Science Foundation of Shanghai Maritime University (Grant No. 20110046) and the Science Foundation of Shanghai Science Commission (Grant Nos. 09DZ2250400 and 09530708200).

Cite this article:

He Hong-Di(何红弟), Lu Wei-Zhen(卢伟真), and Dong Li-Yun(董力耘) An improved cellular automaton model considering the effect of traffic lights and driving behaviour 2011 Chin. Phys. B 20 040514

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