摘要
在建立以最短车辆总疏散时间为目标的应急车辆疏散模型过程中,考虑路网上的车流是时变的,以动态交通流分配理论对应急车辆流进行优化分配。基于计算的复杂性和粒子群算法(PSO)的优点,采用PSO对模型进行求解。算例试验结果表明,优化后的方案能够减轻整个疏散车辆的拥堵程度,为应急管理部门决策提供理论支持。
In view of the fact that the vehicle flows in road net are changeable in the process of emergency vehicle evacuation model that takes the shortest total evacuation time of the target vehicles as the objective,dynamic traffic flow distribution theory is applied to make an optimized distribution of the emergency vehicle flows.Considering the computational complexity and the advantages of PSO,PSO is applied to solve the model.An application example results demonstrate that the evacuation program optimized by this method can reduce the congestions of the evacuation vehicles,which provides theoretical support for emergency decision-making.
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2011年第11期172-176,共5页
China Safety Science Journal
基金
国家自然科学基金资助(71173177)
中央高校基本科研业务费专项资金资助(2010XS23)
博士生创新基金
关键词
粒子群算法(PSO)
应急疏散
时间最短
动态路网
交通流分配
particle swarm optimization（PSO）
emergency evacuation
shortest time
dynamic road network
traffic assignment
