Urban rail transit (URT) systems are exposed to risks of natural disasters and man-made disruptions, which not only cause train delays and overcrowding of platforms, but can even lead to serious safety incidents. Therefore, it is crucial to design a resilient URT system that provides commuters with as reliable a service as possible. This study first proposes to assess the resilience of URT systems with the emerging virtual coupling technologies, which allow trains to be coupled/decoupled dynamically. In contrast to the existing studies, where the system resilience is usually quantified through a resilience triangle that reflects the recovery of system performance, our study proposes a novel resilience assessment metric of URT from the perspective of passengers, which depicts the quick evacuation of delayed crowds in case of disruptions. To further enhance the system resilience, we focus on utilizing train platoons to transport the delayed passengers and we construct a mixed integer programming (MIP) model to optimize the rescheduling decisions of train platoons. Considering different types of disruptions in practice (e.g., different occurrence time of disruptions, disrupted sections), we develop a two-step simulation-optimization approach to solve the MIP model, which simulates the influences of random disruptions on passengers and then optimizes the rescheduling decision of train platoons in an iterative scheme. Finally, the proposed approach is validated using real-world data from the Beijing Metro. Through quantifying for a large set of disruptions, the simulation results demonstrate that the involvement of train platoons can effectively enhance the system resilience of URT against unexpected disruptions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:
    Li, Zhixian (author) / Yin, Jiateng (author) / Besinovic, Nikola (author) / Chai, Simin (author) / Tang, Tao (author)


    Publication date :

    2024-09-24


    Size :

    419712 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Scheduling of Coupled Train Platoons for Metro Networks: A Passenger Demand-Oriented Approach

    Chai, Simin / Yin, Jiateng / D’Ariano, Andrea et al. | Transportation Research Record | 2022




    Urban rail fast and slow train scheduling strategy optimization method and system based on passenger flow demand

    ZHANG RENJIE / YANG MIN / LI HONGWEI et al. | European Patent Office | 2023

    Free access

    Urban Rail Train Diagram Compilation for Unbalanced Passenger Flow

    Li, Jiaji / Guo, Jianyuan / Qin, Yong et al. | Springer Verlag | 2024