摘要
构建了基于地理信息系统(GIS)和multi-agent系统的城市应急疏散仿真框架。该仿真平台基于Repast仿真平台开发,利用Open Map组件读取GIS道路网络数据,作为人员疏散的地理环境。构建了人员和避难空间的agent模型,定义人员的避难空间和路径选择等主观决策行为规则,并通过基于网络的交通流模型模拟人群在GIS路网上的运动。以中国某城市路网数据为基础,利用该仿真平台研究了城市应急疏散中人员对避难场所的选择规律以及信息发布对疏散结果的影响。仿真结果表明:在疏散过程中加强有关避难空间信息的发布可缩短总体的疏散时间。
Urban evacuation during emergencies was modeled using a multi-agent system and a geographic information system （GIS）. The model was based on the Repast platform with the GIS data displayed by the OpenMap software package as the evacuation environment. Human agent and shelter agent models were designed with rules to model human decision making, such as shelter selection and route planning. Movement of agents along the road network was simulated by a network based traffic model. Simulations were carried out for a Chinese city scenario to study the effect of information distribution on shelter selection. The results show that information sharing during evacuations reduces the total evacuation time.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2010年第8期1168-1172,共5页
Journal of Tsinghua University(Science and Technology)
