Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering)

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[This article belongs to Volume - 45, Issue - 4]

Abstract :

Tunnel traffic flow has distinct microscopic characteristics compared with other road sections because of its special driving environment. Cellular automata (CA) is a method that uses cells as basic units to describe the overall behavior of complex systems. It has natural advantages for describing microscopic traffic flow characteristics. In this paper, a modified cellular automata model is established to study the characteristics and the spatial evolution mechanism of the traffic flow on a special section of the expressway such as expressway tunnel. Based on the model, the nucleation and dissolution of the traffic flow under different traffic density is simulated. It is found that the stop-and-go phenomenon becomes much more evident with the increase of the traffic density. The time takes by traffic nucleation to dissolution on high-speed lanes is less than that takes on the slow-speed lanes, and the visual blind are resulting from the drivers’ adaptation to luminosity at the entrance of a tunnel can apparently decrease the capacity of traffic flow at an expressway.