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Aug 12, 2020
Optimization Approach for High-Speed Railway Stop Planning Based on Passing-Stop Ratio
Authors: Zhenyi Li [email protected], Shuo Zhao [email protected], Guangming Xu [email protected], Wanqi Wang [email protected], Xinghua Shan [email protected], and Liu Bao [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
The train stop plan is typically optimized based on the constraint of empirical service level. With provided routes, this paper constructs an optimization model of stop planning based on the optimal passing-stop ratios to minimize the total passenger travel time. The model has convictive and accurate service level constraints, and the randomly generated initial solution has fewer residual passenger flow and shorter average boarding deviation time. Taking Beijing-Shanghai high-speed railway line as an example, we adopt the “rooftops” model to assign the passenger flow, generate an initial solution by optimal passing-stop ratios, and optimize it by genetic algorithm. The initial average boarding deviation time is 27.05 min, with 0.01% residual flow, whereas the optimized average boarding deviation time is 22.69 min without residual flow. The results show the initial solution of the optimization model is acceptable, and the algorithm can further optimize the passenger travel time at the same time.
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© 2020 American Society of Civil Engineers.
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Published online: Aug 12, 2020
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1Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China. Email: [email protected]
2Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China. Email: [email protected]
3School of Traffic and Transportation Engineering of CSU, Changsha 410075, China. Email: [email protected]
4Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China. Email: [email protected]
5Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China. Email: [email protected]
6Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China. Email: [email protected]
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