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A platform for research: civil engineering, architecture and urbanism
Urban expressway traffic flow modeling and control using artificial neural networks
From the viewpoint of macroscopical dynamic characteristics of urban expressway traffic flow, a commonly used macroscopic dynamic deterministic traffic flow model for traffic control is analysed, the neural network model for the urban expressway traffic flow is established and the urban expressway multi-variable neural control strategy with both the on-ramp control and the road speeds control is presented. This control strategy is a servo system where both state and control can be followed. Finally as an example, Hangzhou urban expressway is simulated and the result is satisfied.
Urban expressway traffic flow modeling and control using artificial neural networks
From the viewpoint of macroscopical dynamic characteristics of urban expressway traffic flow, a commonly used macroscopic dynamic deterministic traffic flow model for traffic control is analysed, the neural network model for the urban expressway traffic flow is established and the urban expressway multi-variable neural control strategy with both the on-ramp control and the road speeds control is presented. This control strategy is a servo system where both state and control can be followed. Finally as an example, Hangzhou urban expressway is simulated and the result is satisfied.
Urban expressway traffic flow modeling and control using artificial neural networks
Shen Guojiang, (author) / Dai Huaping, (author) / Liu Xiang, (author) / Wang Zhi, (author) / Sun Youxian, (author)
2003-01-01
358635 byte
Conference paper
Electronic Resource
English
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