DocumentCode
1899569
Title
Development of Membership Degree Functions of the Car-Following Models Based on Fuzzy Logic
Author
Qipeng Xiong ; Zhi Chen ; Xiaoqing Zeng ; Jingjing Guo
Author_Institution
Sch. of Transp. Eng., Tongji Univ., Shanghai, China
Volume
2
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
697
Lastpage
699
Abstract
It is worthy of mention that the use of fuzzy logic within car-following models as the latest distinct stage in their development. But, the research of membership degree functions of the car-following models based on fuzzy logic is dissatisfactory. So, this paper employs least squares to fit discrete data, and their membership functions are obtained. Finally, the approach is illustrated by a case study. The results show this approach is satisfactory and wide applicability.
Keywords
automobiles; fuzzy logic; least squares approximations; car-following models; fuzzy logic; least squares; membership degree functions; Automation; Curve fitting; Fuzzy logic; Fuzzy sets; Least squares methods; Mechanical engineering; Road transportation; Safety; Testing; Traffic control; fitting; least square; membership degree functions; the car-following models based on fuzzy logic;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-0-7695-3804-4
Type
conf
DOI
10.1109/ICICTA.2009.403
Filename
5287781
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