大型活动后车道单行优化的双层规划

严新平; 吕能超; 刘正林; 徐堃

大型活动后车道单行优化的双层规划

基金项目:

国家重点基础研究发展计划973资助项目(2006CB705500)

详细信息

作者简介:
严新平(1959- ),男,教授,博士,研究方向为智能运输系统,电话:027-87651456,E-mail:xpyan@whut.edu.cn

通讯作者:
吕能超(1982- ),男,博士研究生,研究方向为紧急事件交通组织与救援,电话:13407185833,E-mail:lvnengchao@163.com

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- 文章访问数: 1967
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- PDF下载量: 514
- 被引次数: 0
出版历程
- 收稿日期: 2007-11-25
- 刊出日期: 2009-02-18

Bi-level Programming for Optimization of Contraflow Lanes after Massive Activities

摘要

摘要: 为了缓解大型活动后疏散期间的拥堵,建立了车道单行优化问题的双层规划模型.该模型考虑了交通组织者与参与者之间的共同作用.模型的上层模型的优化目标是总疏散时间最短,下层模型的优化目标是出行者自身疏散时间最短.将离散粒子群算法用于解决该双层规划问题.用简化的实际交通网络检验优化效果.实验结果表明,基于双层规划模型的车道单行方案能减少总疏散时间20%.
- 双层规划 /
- 车道单行 /
- 大型活动 /
- 粒子群算法 /
- 优化
Abstract: A bi-level programming optimization model was proposed to configure contraflow lanes around the site after a massive activity for quick evacuation.In the proposed model,both the decision by traffic authorities and the reaction by the traffic participants were considered.The upper model is to minimize the total evacuation time,and the lower one is an equilibrium model determined by every traffic participant.A discrete particle swarm optimization algorithm was used to solve the bi-level programming problem.The proposed optimization method was verified by a simplified actual traffic network.The simulation results indicate that the optimal contraflow lane setting based on the proposed model reduces the total evacuation time by at least 20%.
- bi-level programming /
- contraflow lane /
- large-scale event /
- particle swarm optimization /
- optimization

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参考文献(9)

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文章访问数: 1967
HTML全文浏览量: 65
PDF下载量: 514
被引次数: 0

大型活动后车道单行优化的双层规划

作者简介: 严新平(1959- ),男,教授,博士,研究方向为智能运输系统,电话:027-87651456,E-mail:xpyan@whut.edu.cn

通讯作者: 吕能超(1982- ),男,博士研究生,研究方向为紧急事件交通组织与救援,电话:13407185833,E-mail:lvnengchao@163.com

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出版历程

Bi-level Programming for Optimization of Contraflow Lanes after Massive Activities

计量

出版历程

目录

作者简介:
严新平(1959- ),男,教授,博士,研究方向为智能运输系统,电话:027-87651456,E-mail:xpyan@whut.edu.cn

通讯作者:
吕能超(1982- ),男,博士研究生,研究方向为紧急事件交通组织与救援,电话:13407185833,E-mail:lvnengchao@163.com