基于multi-agent的大型人群活动多阶段动态协调控制模型

随着经济的快速发展,我国举办的各类大型人群活动越来越多,例如奥运会、世博会等。针对大型人群活动中存在的游客长时间排队与拥挤问题,为了降低人群事故发生的风险,提高游客的满意度,提出了基于multi-agent的大型人群活动多阶段动态协调控制模型,并设计出了协调算法PCI,该算法在引入帕累托最优概念的基础上给出参观目标点的选择方法,使用Logit模型进行路线的选择。把该协调算法与现有的其它两种算法进行了计算机仿真对比,仿真结果表明,协调算法PCI可以满足实时性响应的要求,算法C和PCI能够有效的减少排队时间,算法PCI可以得到最优的社会福利,而且随着人群规模的增加这种优势更加明显。

Multi-stage Dynamic Coordination and Control model for Mass Crowds’Activities Based on Multi-agent

With the rapid development of economy,our country will hold more and more mass crowds'activities,e. g.Olympic Games,World Expo.In order to reduce the phenomena of long time queuing and congestion in mass crowds'activities,avoid the population accidents and improve the visitor's satisfacdon,multi-stage dynamic coordination and control model based on multi-agent is proposed. And a coordination algorithm PCI is given. By introducing the concept of Pareto Optimality,a method is given to select the next visiting node and the route choice is made using Logit model.This coordination algorithm is compared with two other existing algorithms by computer simulation. The results show that the coordination algorithm PCI meets the real-time need;the algorithm C and PCI can effectively reduce queuing time;and the algorithm PCI can promote the best social welfare. Moreover,its advantage is more obvious in mass crowds activities.