基于自适应Agent的地铁站台乘客集散仿真研究

发布时间：2018-03-08 18:41

本文选题：城市交通　切入点：地铁　出处：《交通运输系统工程与信息》2014年01期 　论文类型：期刊论文

【摘要】：作为提高地铁运行效率与服务水平的基础研究,地铁乘客集散仿真应综合考虑建筑环境、设施配置、运输组织三方面对乘客集散效率的影响.本文构建了乘客自适应Agent模型,从环境感知、行为决策、动作执行三方面建立基于神经元模型的环境拥挤感知模型,考虑拥挤的运动行为启发规则、运动状态离散更新规则.在构建乘客微观行为动力学模型的基础上,以典型的地铁岛式站台乘客集散为研究对象,建立地铁站台乘客集散仿真模型.仿真结果表明,在地铁站台建筑空间环境和设施设备配置确定的情况下,乘降客流需求和列车发车间隔对地铁站台最大乘客数及乘客集散效率影响显著.
[Abstract]:As a basic research to improve the efficiency and service level of subway, the simulation of subway passenger distribution should consider the influence of building environment, facility configuration and transportation organization on the efficiency of passenger distribution. In this paper, the passenger adaptive Agent model is constructed. A congestion perception model based on neuron model is established from three aspects of environment perception, behavior decision making and action execution, and the heuristic rules of crowded motion behavior are considered. On the basis of constructing the dynamic model of passengers' microscopic behavior, taking the typical island platform passenger distribution as the research object, the simulation model of subway platform passenger distribution is established. The simulation results show that, Under the condition that the space environment of subway platform building and the configuration of facilities are determined, the demand for passenger flow and the train departure interval have significant effects on the maximum number of passengers and the efficiency of passenger distribution on the subway platform.
【作者单位】：北京交通大学城市复杂系统理论与技术教育部重点实验室;北京交通大学中国综合交通研究中心;
【基金】：国家自然科学基金重点项目(71131001) 国家重点基础研究发展计划项目(2012CB725406) 中央高校基本科研业务费专项资金资助(2012YJS053)
【分类号】：U293.1

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