Chapter
Jul 2, 2019
Research on Dynamic Ramp Selection Control of Urban Expressway Based on Improved ALINEA Algorithm
Authors: Yusheng Ci [email protected], Yichen Sun [email protected], Lina Wu [email protected], and Yu Rong [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
Based on the most widely used ALINEA (asservissement linéaire d’entrée autoroutière) algorithm in the ramp metering field, this paper optimizes the algorithm by using a wavelet neural network algorithm to predict traffic flow and consider the problem of inflow reduction in multi-lane traffic. For the multi-ramp cooperative control problem, the redundancy time is taken as the main index. The classifier’s design is based on pattern recognition theory. The important nodes are identified by K-means algorithm. The improved ALINEA algorithm is used to implement ramp control for important nodes. By controlling the key nodes of the expressway, the traffic efficiency of the expressway system is improved.
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Published In
CICTP 2019
Pages: 2623 - 2635
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: Jul 2, 2019
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Affiliations
School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150090, China. E-mail: [email protected]
School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150090, China. E-mail: [email protected]
School of Automobile and Traffic Engineering, Heilongjiang Institute of Technology, Harbin, Heilongjiang 150050, China; School of Transportation Science and Engineering, Beihang Univ., Beijing 100191, China. E-mail: [email protected]
School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150090, China. E-mail: [email protected]
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