Robust cooperative train trajectory optimization with stochastic delays under virtual coupling

Author:

Wang Pengling123ORCID,Zhu Yongqiu4,Zhu Wei123

Affiliation:

1. College of Transportation Engineering Tongji University Shanghai China

2. Key Laboratory of Road and Traffic Engineering of the Ministry of Education Tongji University Shanghai China

3. Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety Tongji University Shanghai China

4. IVT‐Institute for Transport Planning and Systems ETH Zurich Zurich Switzerland

Abstract

AbstractVirtual coupling technology was recently proposed in railways, which separates trains by a relative braking distance (or even shorter distance) and moves trains synchronously to increase capacity at bottlenecks. This study proposes a real‐time cooperative train trajectory planning algorithm for coordinating train movements under virtual coupling by considering stochastic initial delays. The algorithm uses mixed‐integer programming models to estimate the delay propagation among trains, detect feasible coupled‐running locations, and optimize the trajectories of the two trains such that they coordinate their speeds to achieve energy‐efficient, punctual movements, as well as a safe coupled‐running process. A robust optimization method is proposed to capture the stochastic delays as an uncertainty set, which is reformulated to its dual problem. Case studies of planning train trajectories for the classical virtual‐coupling scenario suggest that (1) the coupled‐running distance is greatly affected by the coordination of train timetables, delays, and safe separation constraints at switches; (2) the coordination of train movements for a coupled‐running process imposes extra energy costs; and (3) the proposed method can detect feasible coupled‐running locations and produce cooperative speed profiles in short computational times.

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Train Service Design for Rail Transit Cross-Line Operation Applying Virtual Coupling;Applied Sciences;2024-08-03

2. Enhancing Subway Efficiency on Y-Shaped Lines: A Dynamic Scheduling Model for Virtual Coupling Train Control;IEEE Transactions on Intelligent Transportation Systems;2024-08

3. A Hierarchical MPC Approach for Arriving-Phase Operation of Virtually Coupled Train Set;IEEE Transactions on Intelligent Transportation Systems;2024-07

4. Train Trajectory Cooperative Optimization on Coupling Process at Junctions;2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia);2024-05-17

5. Computation-efficient distributed MPC for dynamic coupling of virtually coupled train set;Control Engineering Practice;2024-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3