A refined and dynamic cellular automaton model for pedestrian–vehicle mixed traffic flow

Mianfang Liu and Shengwu Xiong ()
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Mianfang Liu: School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei 430070, P. R. China†School of Mathematics and Computer Science, Hunan University of Science and Technology, Xiangtan, Hunan 411201, P. R. China
Shengwu Xiong: School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei 430070, P. R. China

International Journal of Modern Physics C (IJMPC), 2016, vol. 27, issue 05, 1-17

Abstract: Mixed traffic flow sharing the “same lane” and having no discipline on road is a common phenomenon in the developing countries. For example, motorized vehicles (m-vehicles) and nonmotorized vehicles (nm-vehicles) may share the m-vehicle lane or nm-vehicle lane and pedestrians may share the nm-vehicle lane. Simulating pedestrian-vehicle mixed traffic flow consisting of three kinds of traffic objects: m-vehicles, nm-vehicles and pedestrians, can be a challenge because there are some erratic drivers or pedestrians who fail to follow the lane disciplines. In the paper, we investigate various moving and interactive behavior associated with mixed traffic flow, such as lateral drift including illegal lane-changing and transverse crossing different lanes, overtaking and forward movement, and propose some new moving and interactive rules for pedestrian–vehicle mixed traffic flow based on a refined and dynamic cellular automaton (CA) model. Simulation results indicate that the proposed model can be used to investigate the traffic flow characteristic in a mixed traffic flow system and corresponding complicated traffic problems, such as, the moving characteristics of different traffic objects, interaction phenomenon between different traffic objects, traffic jam, traffic conflict, etc., which are consistent with the actual mixed traffic system. Therefore, the proposed model provides a solid foundation for the management, planning and evacuation of the mixed traffic flow.

Keywords: Mixed traffic flow; cellular automaton; lateral drift; interaction behavior (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0129183116500534

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