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A Simulation-Based Dynamic Stochastic Route Choice Model for Evacuation

机译:基于仿真的疏散动态随机路径选择模型

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摘要

This paper establishes a dynamic stochastic route choice model for evacuation to simulate the propagation process of traffic flow and estimate the stochastic route choice under evacuation situations. The model contains a lane-group-based cell transmission model (CTM) which sets different traffic capacities for links with different turning movements to flow out in an evacuation situation, an actual impedance model which is to obtain the impedance of each route in time units at each time interval and a stochastic route choice model according to the probit-based stochastic user equilibrium. In this model, vehicles loading at each origin at each time interval are assumed to choose an evacuation route under determinate road network, signal design, and OD demand. As a case study, the proposed model is validated on the network nearby Nanjing Olympic Center after the opening ceremony of the 10th National Games of the People's Republic of China. The traffic volumes and clearing time at five exit points of the evacuation zone are calculated by the model to compare with survey data. The results show that this model can appropriately simulate the dynamic route choice and evolution process of the traffic flow on the network in an evacuation situation.
机译:建立了疏散动态随机路径选择模型,模拟了交通流的传播过程,估计了疏散情况下的随机路径选择。该模型包含基于车道组的信元传输模型(CTM),该模型为疏散情况下具有不同转弯运动的链接设置不同的通行能力,以获取每条路线的阻抗(以时间单位)在每个时间间隔内建立一个随机路径选择模型,并根据基于概率的随机用户平衡进行选择。在该模型中,假设在确定的路网,信号设计和OD需求下,在每个时间间隔在每个起点装载的车辆选择疏散路线。作为案例研究,在中华人民共和国第十届全运会开幕式之后,在南京奥林匹克中心附近的网络上对提出的模型进行了验证。该模型计算疏散区五个出口处的通行量和通行时间,以与调查数据进行比较。结果表明,该模型可以较好地模拟疏散情况下网络流量的动态路由选择和演化过程。

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  • 来源
    《Mathematical Problems in Engineering》 |2012年第8期|396248.1-396248.18|共18页
  • 作者单位

    School of Transportation, Southeast University, No. 2, Sipailou, Nanjing 210096, China;

    School of Transportation, Southeast University, No. 2, Sipailou, Nanjing 210096, China;

    School of Transportation, Southeast University, No. 2, Sipailou, Nanjing 210096, China;

    School of Transportation, Southeast University, No. 2, Sipailou, Nanjing 210096, China;

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