Cellular automaton simulations of a four-leg intersection with two-phase signalization

Cheng-Jie Jin (), Wei Wang, Rui Jiang and Hao Wang
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Cheng-Jie Jin: School of Transportation, Southeast University of China, Nanjing, Jiangsu, 210096, P. R. China
Wei Wang: School of Transportation, Southeast University of China, Nanjing, Jiangsu, 210096, P. R. China
Rui Jiang: School of Engineering Science, University of Science and Technology of China, Hefei, Anhui, 230026, P. R. China
Hao Wang: School of Transportation, Southeast University of China, Nanjing, Jiangsu, 210096, P. R. China

International Journal of Modern Physics C (IJMPC), 2014, vol. 25, issue 03, 1-16

Abstract: In this paper, we present a cellular automaton (CA) simulation of a signalized intersection. When there is no exclusive lane for left-turn vehicles, through vehicles and left-turn vehicles have to share one lane. Under such situation usually two-phase signalization is adopted, and the conflicts between the two traffic streams need to be analyzed. We use a refined configuration for the intersection simulation: the geometry of the intersection has been considered and vehicles are assumed to move along 1/4 circle arcs. We focus on the averaged travel times on left lanes and their distributions. The diagrams of intersection approach capacities (IACs) and the corresponding phase diagrams are also presented, which depend on the approach flow rates and the percentage of left-turn vehicles. Besides, we find that the minimum green time could be determined by finding out the critical value for the travel times.

Keywords: Traffic flow; cellular automaton; signalized intersection; 3D visualization; travel time; minimum green time; 89.40.-a; 05.65.+b; 45.70.Vn (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S012918311350099X

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