ITSC 2024 Paper Abstract

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Paper ThBT13.3

Li, Zhixian (Beijing Jiaotong University), Yin, Jiateng (Beijing Jiaotong University), Besinovic, Nikola (Delft University of Technology), Chai, Simin (Beijing Jiaotong University), TANG, Tao (Beijing Jiaotong University)

Resilience Assessment and Optimization of Urban Rail Systems with Train Platoons: A Passenger Demand Oriented Approach

Scheduled for presentation during the Poster Session "Railway systems and applications" (ThBT13), Thursday, September 26, 2024, 14:30−16:30, Foyer

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 7, 2024

Keywords Rail Traffic Management, Theory and Models for Optimization and Control, Management of Exceptional Events: Incidents, Evacuation, Emergency Management

Abstract

城市轨道交通 (URT) 系统面临以下风险 自然灾害和人为破坏,不仅 导致火车延误和站台过度拥挤,但可以 甚至导致严重的安全事故。因此,它是 对于设计一个具有弹性的 URT 系统至关重要,该系统可提供 为通勤者提供尽可能可靠的服务。这 该研究首次提出评估URT的恢复力 采用新兴虚拟耦合技术的系统, 允许列车动态耦合/解耦。在 与现有的研究相比,该系统 复原力通常通过复原力来量化 反映系统性能恢复的三角形, 我们的研究提出了一种新的弹性评估指标 URT 从乘客的角度出发,描绘了 在出现干扰的情况下,迅速疏散延误的人群。 为了进一步增强系统的韧性,我们重点关注 利用火车排来运输延误的车辆 乘客和我们构造一个混合整数规划 ᦀ

 

 

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