交通运输系统工程与信息 ›› 2010, Vol. 10 ›› Issue (2): 184-189 .

• 案例分析 • 上一篇    下一篇

基于PCA的城市快速路基本路段服务水平评价

郑锂a;宋瑞*b;刘杰a   

  1. 1.北京交通大学a.城市交通复杂系统理论与技术教育部重点实验室; b.交通运输学院,北京 100044
  • 收稿日期:2009-05-14 修回日期:2009-10-27 出版日期:2010-04-25 发布日期:2010-04-25
  • 通讯作者: 宋瑞
  • 作者简介:郑锂(1986-),女,仡佬族,贵州遵义人,博士生
  • 基金资助:

    国家高技术研究发展计划(863计划)(2006AA11Z203)

Principal Components Analysis Based Evaluation on Level of Service for Urban Freeway Basic Sections

ZHENG Lia; SONG Ruib; LIU Jieb   

  1. a.MOE Key Laboratory for Transportation Complex Systems Theory and Technology; b.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
  • Received:2009-05-14 Revised:2009-10-27 Online:2010-04-25 Published:2010-04-25
  • Contact: SONG Rui

摘要: 城市快速路基本路段作为城市快速路的重要组成部分,其服务水平的高低决定了整个城市交通系统运行的通畅性. 为更好的掌握快速路服务水平状态,分析了城市快速路基本路段交通运行特征,车辆构成特征和路段几何特征,建立城市快速路基本路段服务水平评价体系. 借助SPSS分析软件,采用主成分分析法对快速路基本路段服务水平进行计算. 以北京市莲花池西路为例进行实例评价,得到各基本路段各时段的服务水平综合得分,及全天平均服务水平聚类结果. 结果表明,本方法是对传统服务水平计算方法的补充与改善,且聚类分析使得对各基本路段服务水平的分类更明显.

关键词: 城市交通, 交通工程, 城市快速路, 基本路段, 服务水平(LoS), 主成分分析(PCA)

Abstract: Level of service (LOS) of the urban freeway basic section determines the smoothness of the whole urban traffic system. To estimate the LOS of urban freeway more accurately, the paper first analyzes the traffic running characteristics, traffic composition structure, and alignment geometrical characteristics of urban freeway basic sections, and then establishes the evaluation system. LOS of the urban freeway basic section is calculated by principal components analysis via SPSS. Taking Lianhuachi west road as an example, the LOS of each basic section and the daily average LOS clustering results are obtained, as well as the integrated evaluation scores. The results show that the proposed method improves the traditional method on LOS determination of freeway basic section, and the clustering analysis classifies the LOS of each basic section more .

Key words: urban traffic, traffic engineering, urban freeway, basic section, level of service (LOS), principal components analysis (PCA)

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