标题： 大规模都市铁路系统的紧急疏散模拟以增强城市韧性 显示英文标题

标题： Simulation of Emergency Evacuation in Large Scale Metropolitan Railway Systems for Urban Resilience

摘要： 本文提出了一个铁路中断期间交通疏散的仿真，以增强城市韧性。 研究重点是大规模铁路网络，并提供了灵活的仿真设置，以适应多个节点或线路故障。 疏散优化模型通过矩阵计算和非线性规划进行数学表述。 仿真整合了由不同公司运营的铁路线路以及网络的外部地理特征。 此外，为了解决大规模图网络中的计算复杂性，采用子图划分解决方案来加速计算。 该模型使用东京大都会区的广泛铁路网络进行评估。 数据收集包括铁路网络结构和现实世界的GPS人流数据，以估算车站区域访客数量，用于仿真输入和评估。 对包括东京、新宿、涩谷等主要车站进行了几种疏散场景的仿真。 结果表明，在紧急情况下，疏散乘客流量（EPF）和平均旅行时间（ATT）成功得到了优化，同时保持在邻近车站的容量限制和目标中断恢复时间内。 显示英文摘要

摘要： This paper presents a simulation for traffic evacuation during railway disruptions to enhance urban resilience. The research focuses on large-scale railway networks and provides flexible simulation settings to accommodate multiple node or line failures. The evacuation optimization model is mathematically formulated using matrix computation and nonlinear programming. The simulation integrates railway lines operated by various companies, along with external geographical features of the network. Furthermore, to address computational complexity in large-scale graph networks, a subgraph partitioning solution is employed for computation acceleration. The model is evaluated using the extensive railway network of Greater Tokyo. Data collection included both railway network structure and real-world GPS footfall data to estimate the number of station-area visitors for simulation input and evaluation purposes. Several evacuation scenarios were simulated for major stations including Tokyo, Shinjuku, Shibuya and so on. The results demonstrate that both evacuation passenger flow (EPF) and average travel time (ATT) during emergencies were successfully optimized, while remaining within the capacity constraints of neighboring stations and the targeted disruption recovery times.