An improved cellular automaton model considering the effect of traffic lights and driving behaviour |
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Authors: | He Hong-Di Lu Wei-Zhen and Dong Li-Yun |
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Institution: | Logistics Research Center and Shanghai Engineering Research Center of Shipping Logistics Information, Shanghai Maritime University, Shanghai 200135, China; Department of Building and Construction, City University of Hong Kong, Hong Kong, China; Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai 200072, China |
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Abstract: | This paper proposes an improved cellular automaton model to describe the urban traffic flow with the consideration of traffic light and driving behaviour effects. Based on the model, the characteristics of the urban traffic flow on a single-lane road are investigated under three different control strategies, i.e., the synchronized, the green wave and the random strategies. The fundamental diagrams and time-space patterns of the traffic flows are provided for these strategies respectively. It finds that the dynamical transition to the congested flow appears when the vehicle density is higher than a critical level. The saturated flow is less dependent on the cycle time and the strategies of the traffic light control, while the critical vehicle density varies with the cycle time and the strategies. Simulated results indicate that the green wave strategy is proven to be the most effective one among the above three control strategies. |
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Keywords: | traffic flow cellular automaton control strategy vehicle density |
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