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基于聚类与主成分分析法的道路检测器布局优化
Space optimization of road detector based on principal component analysis and cluster analysis
【摘要】 依据交叉口交通量的相关性,利用系统聚类和主成分分析法对交叉口检测器空间优化问题进行研究,并通过深圳路网的实际数据进行检验,取得满意效果。
【Abstract】 Based on the relationships between the traffic volumes of intersections,apply system analysis and Mai-component analysis(MA) to study the in the space optimize of road intersection detectors,the practical data of Shenzhen urban traffic network provide a satisfying result for using this study.The study can solve the problem of road intersection detectors space optimize effectively,make it possible for the urban traffic guidance system with paucity detectors,and provide a macroscopic management theoretical foundations of city transportation.
【关键词】 检测器;
布局优化;
系统聚类;
主成分分析;
【Key words】 detector; space optimization; system analysis; main component analysis;
【Key words】 detector; space optimization; system analysis; main component analysis;
【基金】 “十五”国家科技攻关重大项目(2002BA404A03)
- 【文献出处】 长春工程学院学报(自然科学版) ,Journal of Changchun Institute of Technology(Natural Sciences Edition) , 编辑部邮箱 ,2008年01期
- 【分类号】U491.116
- 【被引频次】1
- 【下载频次】146