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

机译:基于模糊逻辑的乘车模型隶属度函数的开发

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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.
机译:值得一提的是,在汽车跟踪模型中使用模糊逻辑是其开发的最新阶段。但是,基于模糊逻辑的汽车跟随模型隶属度函数的研究并不令人满意。因此,本文采用最小二乘来拟合离散数据,并获得了它们的隶属度函数。最后,通过案例研究说明了该方法。结果表明,该方法是令人满意的,并且具有广泛的适用性。

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