中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2004, Vol. 23 ›› Issue (2): 73-74.

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The AML-real-time forecast method applied to parameters of traffic stream on expressway

ZHU Shun-ying1 , WANG Hong1 , LI Guan-shou2 , HAN Zhi3   

  1. 1.Chongqing Jiaotong University, Chongqing 400074, China;2.Highway Construction and Management Depqrtment of Chongqing Traffic Committee, Chongqing 401147, China;3.Chongqing Traffic Research and Design Institute, Chongqing 400067, China
  • Received:2001-04-15 Revised:2003-05-19 Online:2004-04-15 Published:2015-05-18

高速公路交通流参数实时预测AML法

朱顺应1,王红1,李关寿2,韩直3   

  1. 1.重庆交通学院,重庆400074;2.重庆市交通委员会公路建管处,重庆401147; 3.重庆交通科研设计院,重庆400067
  • 作者简介:朱顺应(1967—)男,安徽怀宁人,博士,教授,现主要从事交通规划与管理方面研究.

Abstract: The type and the adaline-mada line(AML)real-time forecast method applied to parameters of normal traffic sream on expressway is discussed in detail, then it is applied to real-time forecast of traffic volume, time occupancy and sport speed

Key words: traffic stream parameter, real-time forecast, Adaline-Mada Line(AML)

摘要: 探讨了用于高速公路交通流参数实时预测类型,提出了交通流参数的线性神经网络方法,且利用该法对交通 量、时间占有率和点速度的实时预测进行了应用性研究

关键词: 交通流参数, 实时预测, 线性神经网络

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