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An Advanced Fuzzy Logic Based Traffic Controller

机译:基于高级模糊逻辑的交通控制器

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摘要

Traffic light plays an important role in the urban traffic management. Therefore, it is necessary to improve the traffic controller for effective traffic management and better traffic flow leading to greener environment. In this paper, an advanced and intelligent traffic light controller is proposed, utilising the fuzzy logic technology and image processing technique. A fuzzy logic control has been implemented to provide the attribute of intelligence to the system. For real-time image acquisition, the process is further linked to the fuzzy logic controller which generates a unique output for each input pattern. Here image processing and fuzzy logic tool boxes of MATLAB are used where the final output is sent to Peripheral Interface Controller (PIC) microcontroller to drive the traffic signals in the desired manner. The results obtained show an improvement of 44% in the overall outcome of traffic management as compared to the conventional traffic controller, marking great feasibility and practicality of the current model.
机译:交通灯在城市交通管理中起着重要作用。因此,有必要改进交通管制员,以实现有效的交通管理和更好的交通流,从而实现绿色环境。本文提出了一种利用模糊逻辑技术和图像处理技术的高级智能交通信号灯控制器。已经实现了模糊逻辑控制,以向系统提供智能属性。对于实时图像采集,该过程还链接到模糊逻辑控制器,该控制器为每个输入模式生成唯一的输出。这里使用MATLAB的图像处理和模糊逻辑工具箱,将最终输出发送到外围接口控制器(PIC)微控制器,以所需的方式驱动交通信号。与传统的交通控制器相比,所获得的结果表明交通管理的总体结果提高了44%,这标志着当前模型的巨大可行性和实用性。

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