| 基于蚁群算法和群决策理论的动态路径优化研究 |
| |
| 引用本文： | 梁满朝,李文勇,李福祥.基于蚁群算法和群决策理论的动态路径优化研究[J].西部交通科技,2012(2):58-63. |
| |
| 作者姓名： | 梁满朝 李文勇 李福祥 |
| |
| 作者单位： | 桂林电子科技大学机电工程学院,广西桂林,541004 |
| |
| 基金项目： | 家自然科学基金项目“基于群决策理论的交通区域协调控制理论与方法研究”（50878088） |
| |
| 摘 要： | 文章针对城市交通信号控制中的动态路径优化问题,综合考虑相邻交叉口间距和路段交通饱和度两个参数的影响,提出了一种基于蚁群算法和群决策理论的动态路径优化算法模型,并通过仿真实验,对比分析了该算法模型的有效性。
|
| 关 键 词： | 蚁群算法 群决策理论 动态路径优化 研究 |
Analyzes on Dynamic Route Guidance Based on Group De-cision and Ant Colony Algorithm |
| |
| LIANG Man-chao,LI Wen-yong,LI Fu-xiang.Analyzes on Dynamic Route Guidance Based on Group De-cision and Ant Colony Algorithm[J].Western China Communication Science & Technology,2012(2):58-63. |
| |
| Authors: | LIANG Man-chao LI Wen-yong LI Fu-xiang |
| |
| Affiliation: | (College of Mechanical and Electrical Engineering,Guilin University of Electronic Technology, Guilin,Guangxi,541004) |
| |
| Abstract: | Aiming at dynamic path optimization problem in urban traffic signal control,the article proposes a model that combined group decision making the-ory and ant colony algorithm based on the influences of neighboring intersections distance and sections traffic 6saturation.Through the simulation test,the article also proves the effectiveness of this model. |
| |
| Keywords: | Ant colony algorithm Group decision making theory Dynamic path optimization Study |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
