Car-following model based on fuzzy neural networks

被引：0
|
作者：
Juan, Z [1 ]
Jia, H [1 ]
Sun, Z [1 ]
Piao, J [1 ]
机构：
[1] Jilin Univ, Inst Transportat, Changchun, Peoples R China
来源：
URBAN TRANSPORT VII: URBAN TRANSPORT AND THE ENVIRONMENT IN THE 21ST CENTURY | 2001年 / 8卷
关键词：
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The car-following model is a basic model of microscopic traffic simulation. The complexity of car-following behavior is suggested by a large number of factors that influence car-following behavior. Moreover, as shown repeatedly in laboratory studies of human performance, humans are very adaptable and will develop new strategies for new situations. Meanwhile, human performance and the information base have fuzzy characteristics to a certain degree. It is unlikely that a precise normative model of driver behavior will be developed. The main purpose of this paper is to discover the feasibility of the use of fuzzy neural networks in the development of a car-following model.
引用
收藏
页码：281 / 286
页数：6
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