Internet of things and cloud based smart parking system design criteria

G. Türker
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Abstract

In urban areas, traffic density is seen due to the congested residential areas and the high number of vehicles. The problem of drivers searching for parking spaces in central areas creates traffic. The Internet of Things (IoT) technology offers important solutions with its networking feature to solve problems such as traffic congestion, road safety and inefficient use of parking areas, which are waiting for solutions within the scope of Intelligent Transportation Systems. In this study, the technological infrastructures used by IoT-based smart parking systems are examined and integrated building models are proposed for system designs where parking lots are managed. For smart park design, devices, networks and cloud architecture used in IoT-based systems were examined and requirements were determined. The criteria of an application based on design central management are given. The criteria of an application based on design center management are given. Thanks to the smart parking system to be created in the light of these criteria, the closest parking area will be determined. These designed IoT-based systems will contribute to the reduction of traffic congestion, loss of time in full parking areas, air pollution caused by stop and start vehicles, and fuel savings in the economic field.
基于物联网和云的智能停车系统设计标准
在城市地区,由于住宅区拥挤、车辆众多,交通密度很大。驾驶员在中心区域寻找停车位的问题造成了交通堵塞。物联网(IoT)技术的联网功能为解决交通拥堵、道路安全和停车区使用效率低下等问题提供了重要的解决方案,这些问题都有待在智能交通系统范围内加以解决。本研究对基于物联网的智能停车场系统所使用的技术基础设施进行了研究,并为停车场管理的系统设计提出了集成建筑模型。针对智能停车场设计,研究了基于物联网的系统中使用的设备、网络和云架构,并确定了相关要求。给出了基于设计中心管理的应用标准。给出了基于设计中心管理的应用标准。根据这些标准创建的智能停车系统将确定最近的停车区域。这些设计的基于物联网的系统将有助于减少交通拥堵、在停车位满的情况下的时间损失、车辆走走停停造成的空气污染,以及在经济领域节省燃料。
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