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Intelligent System for Determining Parking Locations in Campus Areas Using Fuzzy Logic Based on Internet of Things

机译:基于事物的模糊逻辑确定校园区停车位的智能系统

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摘要

The increasing use of vehicles at campus locations makes it more difficult to find an empty parking lot. This paper develops a system for determining parking locations on campus areas using cloud-based fuzzy logic and Internet of Things (IoT). NFC is used to confirm the order code of the location that has been generated by the system. At the parking location, a sensor is installed to detect parking availability. The concept of IoT has been applied to build this system. Applications on smartphone devices are used for reservations at desired parking locations via the internet. The results show that the system has been able to detect the location of empty parking lots and make reservations in the Andalas University campus environment. The application of fuzzy logic has succeeded in obtaining parking location sequences based on distance and total capacity to find the best parking location.
机译:在校园位置的车辆越来越多地利用越来越难以找到空停车场。本文开发了一种使用基于云的模糊逻辑和物联网(物联网)确定校园区域停车位置的系统。 NFC用于确认系统生成的位置的订单代码。在停车位置,安装传感器以检测停车位。 IOT的概念已应用于构建此系统。智能手机设备上的应用程序用于通过互联网在所需的停车位置预订。结果表明,该系统能够检测空停车场的位置,并在安达拉斯大学校园环境中保留。模糊逻辑的应用成功地基于距离和总容量获得了停车位置序列,以找到最佳停车位。

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