Development of membership degree functions of the car-following models based on fuzzy logic

摘要：

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.

关键词： the car-following models based on fuzzy logic membership degree functions least square fitting

作者: Qipeng Xiong Zhi Chen Xiaoqing Zeng Jingjing Guo

作者单位: School of Transportation Engineering Tongji University Shanghai, 201804, Peoples Republic of China School of Mechanical Engineering, University of Shanghai for science and technology Shanghai, 200093

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 1649-1651

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）