Load-balancing Oriented Line Plan Optimization for a High-speed Railway Network

被引：0
|
作者：
Wu X.-T. [1 ,2 ]
Yang M.-K. [2 ]
Wang H.-W. [3 ]
Zhou M. [2 ]
Lv J.-H. [1 ]
Dong H.-R. [2 ]
机构：
[1] School of Automation Science and Electrical Engineering, Beihang University, Beijing
[2] State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing
[3] National Research Center of Railway Safety Assessment, Beijing Jiaotong University, Beijing
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2022年 / 48卷 / 02期
基金：
中国国家自然科学基金;
关键词：
High-speed railway network; Line plan; Load balance optimization; Network robustness;
D O I：
10.16383/j.aas.c210612
中图分类号：
学科分类号：
摘要：
By considering the current mismatch between traffic demand and transportation resources in high-speed railways, a load-balancing oriented line plan optimization and evaluation method of the high-speed railway is developed to adapt to the traffic demand. Specifically, a multi-objective non-linear hybrid programming model aiming to improve the economic benefit, social benefit, and network load balance is established to optimize the network line plan. Besides, a two-stage hybrid search algorithm based on genetic algorithm and particle swarm optimization algorithm is designed to solve the problem. Moreover, a comprehensive evaluation method of line plan for networked operation scale considering the operational issues and the network resilience is proposed. Finally, the structure data and the real operational date of a sub-network of China＇s high-speed railway are adopted to verify the effectiveness of the proposed method. The results show that the method proposed in this paper can effectively improve 8.66% overall load balance of the network and the network resilience while satisfying the travel demands of passengers. Copyright ©2019 Acta Automatica Sinica. All rights reserved.
引用
收藏
页码：492 / 503
页数：11
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