Dynamic programming - neural network real-time traffic adaptive signal control algorithm

被引：16
|
作者：
Teodorovic, D [1 ]
Varadarajan, V
Popovic, J
Chinnaswamy, MR
Ramaraj, S
机构：
[1] Virginia Polytech Inst & State Univ, Dept Civil & Environm Engn, Falls Church, VA 22043 USA
[2] Univ Belgrade, Fac Transport & Traff Engn, Belgrade 11000, Serbia Monteneg
[3] PB Farradyne, Rockville, MD 20852 USA
[4] Oklahoma State Univ, Sch Ind Engn & Management, Stillwater, OK 74078 USA
[5] Virginia Polytech Inst & State Univ, Dept Comp Sci, Falls Church, VA 22043 USA
来源：
ANNALS OF OPERATIONS RESEARCH | 2006年 / 143卷 / 01期
关键词：
real time traffic adaptive control; neural networks; dynamic programming;
D O I：
10.1007/s10479-006-7376-z
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
In this paper, an "intelligent" isolated intersection control system was developed. The developed "intelligent" system makes "real time" decisions as to whether to extend (and how much) current green time. The model developed is based on the combination of the dynamic programming and neural networks. Many tests show that the outcome (the extension of the green time) of the proposed neural network is nearly equal to the best solution. Practically negligible CPU times were achieved, and were thus absolutely acceptable for the "real time" application of the developed algorithm.
引用
收藏
页码：123 / 131
页数：9
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