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Optimization of Subway Departure Timetable by Genetic Algorithm

He, Junxiang / Zeng, Xiaoqing / Ying, Peiran / Xu, Xinchen / Wang, Yizeng

Abstract This paper the objective constraints such as the number of train groups available for use and the basic interests of the operating company, and optimizes the departure time of urban rail transit according to the existing passenger flow characteristics change. Based on the characteristics of passengers’travel behavior and the habits of taking urban rail transit, a mathematical model with the objective function as the average waiting time of passengers is constructed. Using genetic algorithm to solve the model reasonably, it is found that the optimized scheme can effectively shorten the average waiting time of passengers under the conditions of satisfying various constraints.

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Optimization of Subway Departure Timetable by Genetic Algorithm

He, Junxiang / Zeng, Xiaoqing / Ying, Peiran / Xu, Xinchen / Wang, Yizeng

Abstract This paper the objective constraints such as the number of train groups available for use and the basic interests of the operating company, and optimizes the departure time of urban rail transit according to the existing passenger flow characteristics change. Based on the characteristics of passengers’travel behavior and the habits of taking urban rail transit, a mathematical model with the objective function as the average waiting time of passengers is constructed. Using genetic algorithm to solve the model reasonably, it is found that the optimized scheme can effectively shorten the average waiting time of passengers under the conditions of satisfying various constraints.

Optimization of Subway Departure Timetable by Genetic Algorithm

He, Junxiang / Zeng, Xiaoqing / Ying, Peiran / Xu, Xinchen / Wang, Yizeng

Abstract This paper the objective constraints such as the number of train groups available for use and the basic interests of the operating company, and optimizes the departure time of urban rail transit according to the existing passenger flow characteristics change. Based on the characteristics of passengers’travel behavior and the habits of taking urban rail transit, a mathematical model with the objective function as the average waiting time of passengers is constructed. Using genetic algorithm to solve the model reasonably, it is found that the optimized scheme can effectively shorten the average waiting time of passengers under the conditions of satisfying various constraints.

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Title:

Optimization of Subway Departure Timetable by Genetic Algorithm

Contributors:

He, Junxiang (author) / Zeng, Xiaoqing (author) / Ying, Peiran (author) / Xu, Xinchen (author) / Wang, Yizeng (author)

Published in:

International Symposium for Intelligent Transportation and Smart City (ITASC) 2019 Proceedings ; 177-185

Smart Innovation, Systems and Technologies ; 127

Publication date:

2019-01-01

Size:

9 pages

ISBN:

978-981-13-7541-5 , 978-981-13-7542-2

ISSN:

2190-3018 , 2190-3026

DOI:

https://doi.org/10.1007/978-981-13-7542-2_17

Type of media:

Article/Chapter (Book)

Type of material:

Electronic Resource

Language:

English

Keywords:

Genetic algorithm , Urban rail line , Timetable planning , Matlab Energy , Transportation , Transportation Technology and Traffic Engineering , Geotechnical Engineering & Applied Earth Sciences , Sustainable Development , Communications Engineering, Networks

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