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Cellular Automaton-Based Traffic Flow Simulation Model for Traffic Incidents
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.
Cellular Automaton-Based Traffic Flow Simulation Model for Traffic Incidents
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.
Cellular Automaton-Based Traffic Flow Simulation Model for Traffic Incidents
Zhao, Kang-jia (author) / Chen, Shu-yan (author) / Lao, Ye-chun (author)
2015-02-16
62015-01-01 pages
Article (Journal)
Electronic Resource
Unknown
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