Song, Hongyu (Beijing Jiaotong University), ShangGuan, Wei (Beijing Jiaotong University), Liu, Weihao (CRSC Research & Design Institute Group Co., Ltd), Qiu, Weizhi (Beijing Jiaotong University), Chen, Junjie (Beijing Jiaotong University), Cai, Baigen (Beijing Jiaotong University), Liu, Yongqiang (Beijing jiaotong university)

Multi-Objective Speed Trajectory Optimization for Cooperative Operation of High-Speed Trains under Virtual Coupling

Scheduled for presentation during the Regular Session "Rail Traffic Management II" (FrBT7), Friday, September 27, 2024, 13:30−13:50, Salon 15

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on October 14, 2024

Abstract

Virtual coupling can shorten train separation and is recognized as a promising solution to the problem of capacity limits on railway network. However, as train separation decreases, the impact of speed trajectories between adjacent trains becomes more significant. Inappropriate speed trajectories, either of the leading or following trains, will affect the convoy's operational performance. Hence, this paper investigates the cooperative speed trajectory optimization problem for the leading and following trains in a convoy. Firstly, a resilience adjustment mechanism is proposed to define the driving strategy of trains under virtual coupling. Then, a multi-objective optimization model for the cooperative operation of trains is designed with energy and capacity consumption as the optimization objectives. On this basis, a novel double loop seeker optimization algorithm is presented to find the solution of the proposed model, that is to optimize the speed trajectories of the leading and following trains simultaneously rather than separately. Finally, numerical experiments using the real data from a high-speed railway line in China are performed to demonstrate the effectiveness of our proposed method.