摘要
以2010年上海世博园区的总体规划方案为基础,构建参观者在园区内部游览路线的基本模型,利用智能微粒群算法进行路径优化,提供最优方案求解的指导性策略。并针对路径中关键节点的拥塞问题,提出了游客流量的控制策略。
Visiting-route optimization strategy based on swarm intelligence inside Shanghai EXPO Area is discussed in this paper.Basic design model for visiting route optimization inside Shanghai-EXPO-Area is derived,grounded on the general planning blue-print of 2010 Shanghai EXPO.Meanwhile the optimal induction scheme of the visiting route can be solved using particle swarm optimization algorithm.In addition,a primary traffic-flow control model for the local bottleneck node is proposed.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第19期195-198,共4页
Computer Engineering and Applications
基金
国家重点基础研究发展规划(973)(the National Grand Fundamental Research 973 Program of China under Grant No.2002CB312202)
国家自然科学基金(the National Natural Science Foundation of China under Grant No.70531020)
关键词
上海世博会
最优游览路径
微粒群算法
流量控制
Shanghai EXPO
visiting route optimization＋Particle Swarm Optimization
traffic flow control
