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Cellular Automaton-Based Traffic Flow Simulation Model for Traffic Incidents |
ZHAO Kang-jia, CHEN Shu-yan, LAO Ye-chun |
Southeast University, Nanjing Jiangsu 210096, China |
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Abstract Traffic incidents decrease the capacity of road segments and disturb normal traffic flow. Analyzing the evolution of traffic incident effects by building a simulation model for traffic incidents not only helps in better understanding traffic flow characteristics in abnormal conditions, but also provides a theoretical basis for traffic control strategies. Considering the characteristics of driver behavior, this study proposes an improved model of traditional symmetric two-lane cellular automaton (STCA) based on lane-changing rules. Velocity is used to build a traffic simulation cellular automaton model for traffic incident conditions. The improved model simulated traffic flow better than the traditional STCA model.
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Received: 20 December 2013
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Fund:Supported by the National Natural Science Foundation of China (No.61374195, No.61374195) |
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