A fuzzy behavior based microscopic traffic model

M. Tavallaei, S. Khanmohammadi, I. Hasanzadeh
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引用次数: 1

Abstract

This paper deals with the problem of a human behavior based Microscopic Traffic Model. In this work, a fuzzified two point model is implemented for modeling the low level control behavior and a Fuzzy Multi Criteria Decision Making is implemented for modeling the high level control actions of the driver. As a result, different influential parameters such as the driver's age, mood, sex, etc. may be easily implemented in to the model and therefore guarantee a more natural outcome. This model can be used in automatically guided vehicles as a reference for natural driver behavior of individuals. The simulation results illustrate and verify the validity of the model.
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基于模糊行为的微观交通模型
本文研究了基于人的行为的微观交通模型问题。本文采用模糊两点模型对低层控制行为进行建模,采用模糊多准则决策对高层控制行为进行建模。因此,不同的影响参数,如驾驶员的年龄,情绪,性别等,可以很容易地实现到模型中,从而保证更自然的结果。该模型可用于自动引导车辆,作为个体自然驾驶行为的参考。仿真结果验证了该模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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