Chapter
Aug 12, 2020
Research on Passenger Flow Control Method in Urban Rail Transit during Peak Hours
Authors: Xu Xu [email protected], Jun Liu [email protected], Xinyue Xu [email protected], Yongji Luo [email protected], and Yamin Zhang [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
This paper aims to make passenger flow control strategies in a station or a line during peak hours to cooperate traffic supply with demand. A new passenger flow control model is proposed to determine which station should be controlled according to different characteristics of passenger flow in a line. The new model is a dynamic optimization model considering the number of inbound and transfer passengers in a station as the decision variable, the minimum travel time of passengers as the objective function, and the capacity of stations and trains as the constraint. Moreover, the passenger flow evolution on the urban rail transit system is also considered in the model. Genetic algorithm is introduced to solve this model. Finally, a real-world case is proposed to examine the validity of the proposed model.
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Published In
CICTP 2020
Pages: 2211 - 2223
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© 2020 American Society of Civil Engineers.
History
Published online: Aug 12, 2020
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1School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing 100044, China. Email: [email protected]
2School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing 100044, China. Email: [email protected]
3State Key Laboratory of Railway Traffic Control and Safety, Beijing Jiaotong Univ., Beijing 100044, China. Email: [email protected]
4School of Transportation and Logistics, Southwest Jiaotong Univ., Sichuan 611756, China. Email: [email protected]
5School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing 100044, China. Email: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.