J4 ›› 2012, Vol. 25 ›› Issue (4): 53-57.doi: 10.3976/j.issn.1002-4026.2012.04.013

• 目录 • 上一篇    下一篇

高速公路城市化路段短时交通量预测方法研究

周微,贾元华,陈峰   

  1. 北京交通大学交通运输学院,北京 100044
  • 收稿日期:2012-05-22 出版日期:2012-08-20 发布日期:2012-08-20
  • 作者简介:周微(1989-),女,硕士研究生,研究方向为交通运输规划与管理。
  • 基金资助:

    国家高技术研究发展计划(863计划) (2007AA11Z213)

Research on short term traffic volume forecasting approaches for  the urbanized section of a freeway

 ZHOU Wei, JIA Yuan-Hua, CHEN Feng   

  1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
  • Received:2012-05-22 Online:2012-08-20 Published:2012-08-20

摘要:

        在对高速公路进出城路段交通拥堵现象产生原因进行分析的基础上,基于径向基神经网络的思想,建立了适用于高速公路城市化路段的短时交通量预测模型,为高速公路服务水平判定、交通控制与诱导提供理论依据和技术支持。最后,以京津塘高速公路城市化路段为例,对建立的模型进行效果验证,结果证明所建立的方法是有效性的、可行的。

关键词: 高速公路, 城市化路段, 短时交通量预测, 径向基函数神经网络

Abstract:

         We construct a short term traffic volume forecasting model based on the analysis of the cause of the congestion of the urbanized section of a freeway and RBF neural network. It will provide basic theory and technical support for the evaluation of the service level and the traffic control and pilot of a freeway. We eventually verify the effectiveness of the model, taking Jingjintang freeway as an example. Result shows that the model is reasonable and feasible.

Key words: freeway, urbanized section, short term traffic volume forecasting, RBF neural network

中图分类号: 

  • U121