计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (19): 195-198.

• 工程与应用 • 上一篇    下一篇

上海世博园区路径智能优化及流量控制策略

肖 辉,严 勇,萧蕴诗,吴启迪   

  1. 同济大学 电子与信息工程学院,上海 200092
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-07-01 发布日期:2007-07-01
  • 通讯作者: 肖 辉

Swarm intelligence based visiting-route optimization and flow control strategy inside shanghai-EXPO-Area

XIAO Hui,YAN Yong,XIAO Yun-shi,WU Qi-di   

  1. College of Electronics and Information Engineering,Tongji University,Shanghai 200092,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-07-01 Published:2007-07-01
  • Contact: XIAO Hui

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。

Abstract: 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.