Multi-Agent Collaborative Control Method of Ramps Based on Fuzzy Neural Network

被引：0

作者：

Niu Zhonghai ^{[1
]}

Jia Yuanhua ^{[1
]}

Chen Feng ^{[2
]}

Zhang Liangliang ^{[1
]}

机构：

[1] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing, Peoples R China

[2] China Acad Railway Sci, Signal & Commun Res Inst, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON CHEMICAL, MATERIAL AND FOOD ENGINEERING | 2015年 / 22卷

关键词：

expressway; cooperative control; ramp metering; fuzzy neural network; multi-agent;

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 order to improve the growing serious traffic congestion on the junction of freeway and expressway (junction of road network in short), starting from the on-ramp metering, considering the main line and its on-ramp control requirements, the multi-agent collaborative was introduced. And the relativity of different segments of junction of road network was analyzed. Meanwhile, the correlation of different segments was calculated. With the consistency of control objectives for urbanized segments of expressway, a relative density model of multi-agent consistency was proposed. Then, on basis of multi-agent and fuzzy control theory, a multi-agent ramp cooperative control model based on fuzzy neural network was presented. Urbanized segments of Beijing-Tianjin-Tanggu Express way were selected to validate the model. The results show that the model was effective. The method can stabilize the density of the urbanized expressway, and relief traffic congestion in the area.

引用

页码：575 / 578

页数：4

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