用模糊推理系统实现智能汽车驾驶行为的真实感

Nariman Fouladinejad, M. K. A. Jalil, J. M. Taib, Nima Fouladi Nejad
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引用次数: 0

摘要

本文将讨论在微观交通流中存在智能车辆的交通流系统仿真中实现的算法。这可以通过引入行为部门来设置虚拟智能汽车的各种驾驶行为。行为部门由五个不同的单元组成,分别是路线和目的地、视觉、个性、决策和运动控制。采用模糊逻辑对行为扇区进行控制。交通流系统采用Matlab软件,利用模糊逻辑工具箱进行开发。以柔佛州斯古代的塔曼大学区域为例,展示了行为部门在交通流系统模拟中的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Realism in an Intelligent Car's Driving Behavior Using Fuzz Inference System
This paper will discuss the algorithm to be implemented in the simulation of traffic flow system with the presence of the intelligent vehicles inside a microscopic traffic flow. This is possible with the introduction of the Behavior Sector to set various driving behavior of the virtual intelligent vehicles. The Behavior Sector consists of five different units, which are Route and Destination, Vision, Personality, Decision Making, and Motion Control. Fuzzy Logic is adopted to control the Behavior Sector. The traffic flow system is developed using Matlab software using Fuzzy Logic toolbox. One case study based on Taman Universiti area in Skudai, Johor is used to show the results of the Behavior Sector in the simulation of the traffic flow system. 
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