基于模糊算法的高速公路事件检测及主线控制系统的研究与实现
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摘要
本论文介绍了作者研究和开发高速公路交通监控系统的若干成果,主要包括:提出了基于模糊模式识别的高速公路交通事件自动检测算法,解决了工程实践中车辆检测器布设密度不足,传统事件自动检测算法无法应用的问题;提出了基于模糊推理的高速公路可变速度控制方法,避开了传统算法中交通流模型难以建立这一困难;最后,作者结合工程实践,对高速公路监控系统软件进行了设计,对其中的设备抽象、通信调度、控制算法封装等关键实现技术进行了研究。
Some researches of Freeway Supervisory Control System are introduced in this thesis. The main contents are as follows:
    Firstly, A Fuzzy Pattern Recognition based Automatic Freeway Incident Detection Algorithm is given. This algorithm solves the problem that the density of the Vehicle Detectors distribution is too low to apply traditional AID algorithms.
    Secondly, A Fuzzy Logic based Variable Speed Control method is given. This method slides over the difficulty of accurately traffic flow modeling in practical project.
    At last, the design and realization of Freeway Supervisory Control System software is presented. In this part, the key technology such as Device Object Abstraction, Communication Scheduling and Control Algorithms Encapsulation is introduced.
引文
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