Modeling and simulation of car-following safety behavior with fuzzy neural network

被引：0

作者：

Li Dehui ^{[1
]}

Rong Jian ^{[1
]}

Hu Jiangbi ^{[1
]}

Liu Xiaoming ^{[1
]}

机构：

[1] Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100022, Peoples R China

来源：

PROGRESS IN SAFETY SCIENCE AND TECHNOLOGY, VOL 6, PTS A AND B | 2006年 / 6卷

关键词：

car-following; driving behavior; FNN; modeling; simulation;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

It is hard to describe driver's behavior with precise algorithm because of its fuzzy and indeterminable characteristic when the driver follows a leading car. However, it is suitable to apply fuzzy neural network (FNN) to study driving behavior due to its good characteristic of self-study and easily expressing common control experience. The paper uses RD/ED and RS as two inputs and the following car's acceleration as the output and simulates in MATLAB, model validation results have shown that the FNN model can replicate the driving behavior of real systems in road cases.

引用

页码：2067 / 2071

页数：5

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