摘要
随着车辆智能控制系统(AVCS)的研究开发,基础的局部车流特性研究变得十分迫切,针对车辆跟随传统车流跟驰理论存在许多的不足,文中分析了跟驰模型存在的问题,提出采用模糊模型来建立局部车流跟随模型,并针对以往未能解决的隐性知识问题,提出了采用输入输出数据对来设计模糊规则,应用权重来解决规则冲突问题并简化规则库。最后通过实例验证了模糊模型较之跟驰模型的优势。
With the development of the Advanced Vehicle Control System（AVCS） ,the research of the characteristic of local vehicle platoon became an important topic. The traditional car-following theory has many disadvantages on AVCS. The paper analyzes the flaw of the carfollowing model. A fuzzy model is proposed and the rule base is designed by input-output data. The weight factor is considered to solve the collision of the rule and the rule base simplicity. In the end,compare the fuzzy model with traditional model through a example.
出处
《计算机应用与软件》
CSCD
北大核心
2005年第8期17-18,82,共3页
Computer Applications and Software
基金
科技部高校博士点专项基金(编号:20030006001)资助。
