A-RESCUE: An Agent based Regional Evacuation Simulator Coupled with User Enriched Behavior
A-RESCUE: An Agent based Regional Evacuation Simulator Coupled with User Enriched Behavior
复制标题
A-RESCUE：基于代理的区域疏散模拟器与丰富的用户行为相结合
DOI：
10.1007/s11067-016-9323-0
复制
发表时间：
2016
影响因子：
2.4
通讯作者：
Weihao Yin
中科院分区：
文献类型：
--
作者：
S. Ukkusuri;Samiul Hasan;B. Luong;K. Doan;Xianyuan Zhan;Pamela M. Murray;Weihao Yin
家庭行为和动态交通流量是飓风疏散的两个最重要的方面。然而，目前的疏散模型在很大程度上忽略了家庭行为的复杂性，导致过度简化的交通分配，因此，不准确的疏散清除时间的网络。在本文中，我们提出了一个高保真的多智能体仿真模型称为A-RESCUE（基于代理的区域疏散模拟器耦合与用户丰富的行为），集成了丰富的活动行为的疏散家庭与网络级分配，以预测和评估疏散清除时间。该模拟器可以实时生成疏散需求，真实地捕捉飓风疏散的动态特性。该模拟器由两大部分组成：住户决策模块和交通流模块。在模拟中，每个家庭都是一个代理，根据先进的行为模型做出各种疏散相关的决策。根据住户的决定，在不同的时间间隔内产生并进入疏散交通网络的车辆数量。提出了一种自适应路由策略，可以实现有效的网络范围内的流量测量。计算结果的基础上模拟了迈阿密-戴德网络的道路网络的几何形状的详细表示。仿真结果表明，交通拥堵的演变作为家庭决策的函数，在不同的地区相对于风暴路径和最拥挤的O-D对在网络中的拥塞的方差。该模拟工具可用作规划工具，以制定与交通信息应如何传达有关的决策，以及设计交通管理政策，如疏散期间的逆流策略。
Household behavior and dynamic traffic flows are the two most important aspects of hurricane evacuations. However, current evacuation models largely overlook the complexity of household behavior leading to oversimplified traffic assignments and, as a result, inaccurate evacuation clearance times in the network. In this paper, we present a high fidelity multi-agent simulation model called A-RESCUE (Agent-based Regional Evacuation Simulator Coupled with User Enriched behavior) that integrates the rich activity behavior of the evacuating households with the network level assignment to predict and evaluate evacuation clearance times. The simulator can generate evacuation demand on the fly, truly capturing the dynamic nature of a hurricane evacuation. The simulator consists of two major components: household decision-making module and traffic flow module. In the simulation, each household is an agent making various evacuation related decisions based on advanced behavioral models. From household decisions, a number of vehicles are generated and entered in the evacuation transportation network at different time intervals. An adaptive routing strategy that can achieve efficient network-wide traffic measurements is proposed. Computational results are presented based on simulations over the Miami-Dade network with detailed representation of the road network geometry. The simulation results demonstrate the evolution of traffic congestion as a function of the household decision-making, the variance of the congestion across different areas relative to the storm path and the most congested O-D pairs in the network. The simulation tool can be used as a planning tool to make decisions related to how traffic information should be communicated and in the design of traffic management policies such as contra-flow strategies during evacuations.
影响因子：
2.4
作者：
Gunnar Flötteröd;Yu Chen;K. Nagel
通讯作者：
Gunnar Flötteröd;Yu Chen;K. Nagel