Study of intersection traffic flow control on the basis of agents

被引：0
|
作者：
Liu, XM [1 ]
Gong, XY [1 ]
机构：
[1] Chinese Acad Sci, Complex Syst & Intelligent Sci Lab, Inst Automat, Beijing 100080, Peoples R China
来源：
2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2 | 2003年
关键词：
intersection agent; phase agent; intensify learning;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we present an approach based on multi-agent technology to realize optimal intersection control. First description and function of intersection agent and phase agent are given, then with an example, the whole structure of the intersection control approach and its intensify learning process are showed. Simulation test fully indicates its effectiveness and reliability.
引用
收藏
页码：1755 / 1758
页数：4
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