Coordinated traffic-responsive ramp control via nonlinear state feedback

被引:62
作者
Zhang, HM
Ritchie, SG
Jayakrishnan, R
机构
[1] Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA
[2] Univ Calif Irvine, Dept Civil & Environm Engn, Inst Transportat Studies, Irvine, CA 92697 USA
关键词
freeway ramp metering; traffic control; nonlinear feedback control; artificial neural networks;
D O I
10.1016/S0968-090X(00)00044-9
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
In this paper, we develop a coordinated traffic responsive ramp control strategy based on feedback control and artificial neural networks. The proposed feedback control law is nonlinear and realized by a series of neural networks. The parameters of the neural networks are obtained through a nonlinear optimization procedure. Traffic simulations show that the proposed nonlinear ramp control strategy compares favorably against the well-known linear quadratic (LQ) control strategy in reducing total travel times, particularly at situations where drastic changes in traffic demand and road capacity occur. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:337 / 352
页数:16
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