Traffic dynamics around weaving section influenced by accident: Cellular automata approach

Lin-Peng Kong, Xin-Gang Li () and William H. K. Lam
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Lin-Peng Kong: MOE Key Laboratory for Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing 100044, P. R. China
Xin-Gang Li: MOE Key Laboratory for Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing 100044, P. R. China;
William H. K. Lam: MOE Key Laboratory for Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing 100044, P. R. China;

International Journal of Modern Physics C (IJMPC), 2015, vol. 26, issue 03, 1-18

Abstract: The weaving section, as a typical bottleneck, is one source of vehicle conflicts and an accident-prone area. Traffic accident will block lanes and the road capacity will be reduced. Several models have been established to study the dynamics around traffic bottlenecks. However, little attention has been paid to study the complex traffic dynamics influenced by the combined effects of bottleneck and accident. This paper presents a cellular automaton model to characterize accident-induced traffic behavior around the weaving section. Some effective control measures are proposed and verified for traffic management under accident condition. The total flux as a function of inflow rates, the phase diagrams, the spatial-temporal diagrams, and the density and velocity profiles are presented to analyze the impact of accident. It was shown that the proposed control measures for weaving traffic can improve the capacity of weaving section under both normal and accident conditions; the accidents occurring on median lane in the weaving section are more inclined to cause traffic jam and reduce road capacity; the capacity of weaving section will be greatly reduced when the accident happens downstream the weaving section.

Keywords: Traffic flow; cellular automata; weaving section; accident; 89.40.-a; 05.40.-a (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (3)

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DOI: 10.1142/S0129183115500266

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