Passenger emergency management of urban rail transit station (URTS) has become an indispensable issue with attaching importance to economic benefits and personal security. In this article, a parallel URTS system for passenger emergency management is presented based on artificial systems, computational experiments, and parallel execution (ACP) approach. The agent-based modeling technology is applied to build the artificial URTS system, which contains the models of personal, trains, facilities, events, environments, and center control and decision unit. The computational experiments are performed on the artificial system to analyze and evaluate emergency management strategies. The mechanism of parallel execution between the actual system and artificial system is presented to manage and optimize the emergency strategy, which is capable of guiding the actual URTS system through real-time online supervision and adjustment and providing an active rather than a traditionally passive optimization of passenger emergency management. The ACP-based parallel URTS system provides a novel approach to formulation, evaluation, and optimization of passenger emergency management strategies for URTS.

中文翻译：

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用于乘客应急管理的平行城市轨道交通站点

城市轨道交通车站（URTS）的乘客应急管理已成为重视经济效益和人身安全的不可或缺的问题。在本文中，基于人工系统、计算实验和并行执行 (ACP) 方法，提出了一种用于乘客应急管理的并行 URTS 系统。应用基于代理的建模技​​术构建人工URTS系统，该系统包含人员、列车、设施、事件、环境、中心控制和决策单元的模型。在人工系统上进行计算实验以分析和评估应急管理策略。提出了实际系统和人工系统并行执行的机制来管理和优化应急策略，它能够通过实时在线监督和调整来指导实际的 URTS 系统，并为乘客应急管理提供主动而非传统的被动优化。基于 ACP 的并行 URTS 系统为 URTS 的乘客应急管理策略的制定、评估和优化提供了一种新方法。