交通运输系统工程与信息 ›› 2012, Vol. 12 ›› Issue (3): 122-128.

• 系统工程理论与方法 • 上一篇    下一篇

基于OD稳定模式的高速公路出口流量预测方法研究

张平1,张明欣3,宋国杰*1,董新品2,谢昆青1   

  1. 1.北京大学信息科学与技术学院,北京 100871; 2.山西省高速公路管理局,太原 030006; 3.山西省交通规划勘察设计院,太原 030012
  • 收稿日期:2011-12-20 修回日期:2012-02-23 出版日期:2012-06-24 发布日期:2012-07-03
  • 作者简介:张平(1985-),男,北京人,博士生.
  • 基金资助:

    国家自然科学基金(60874082);北京市自然科学基金(4102026);山西省交通厅科技项目(100115).

A Freeway Entrance Volume Prediction Method Based on Traffic OriginDestination Stability Pattern

ZHANG Ping1, ZHANG Ming-xin3, SONG Guo-jie1, DONG Xin-pin2, XIE Kun-qing1   

  1. 1.School of Electronic Engineering and Computer Science,Peking University, Beijing 100871, China; 2.Expressway Administration of Shanxi Province, Taiyuan 030006, China; 3. Institute of Communications Planning Survey & Design of Shanxi Province, Taiyuan 030006, China
  • Received:2011-12-20 Revised:2012-02-23 Online:2012-06-24 Published:2012-07-03

摘要:

从高速公路车辆出入口数据中可以直接提取路网中车辆的OD信息,这些信息在一定程度上反映出车辆时空上的运行状态,更可以通过这类数据对高速公路出口流量的趋势做出合理有效地预测.本研究从真实数据出发,对交通路网中车辆OD的稳定性进行了分析,并以此为指导,将所得到的领域知识加入到常规的预测方法中,提出了一套基于OD稳定模式的高速公路出口流量预测方法.主要贡献包括:①提出了信息熵的概念,以刻画高速公路车辆OD的规律性;②提出了基于OD的稳定模式的出口流量预测方法;③在大量真实的数据上进行了实验分析.

关键词: 信息技术, 交通流预测, OD稳定模式, 高速公路出口交通流, 信息熵

Abstract:

The traffic origin-destination (OD) data can be directly obtained from the freeway toll data. This information always reflects the vehicle status in temporal and spatial. And the OD information can also be used for making reasonable and effective predictions on the future trends of the freeway entrance volume. In this paper, an algorithm is proposed for predicting the freeway entrance volume based on the analysis of stability pattern of freeway traffic OD data. The contributions mainly include: ① An information entropy based method is presented for analyzing stability pattern of freeway traffic OD data; ② Based on the stability pattern, a new prediction algorithm is applied on massive freeway entrance data. ③ The experimental results show that the proposed algorithm is reasonable and feasible, the accuracy is improved as well.

Key words: information technology, volume prediction, origin-destination stability pattern, freeway entrance volume, information entropy

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