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A Novel Parking Management System, for Smart Cities, to save Fuel, Time, and Money

机译:一个小说停车管理系统,智能城市,节省燃料,时间和金钱

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In modern society, we often spend 5 to 10 minutes trying to find a spot in a parking garage. Parking garages are commonplace, but they are extremely inefficient. According to a study done by Inrix, the authority on vehicles and transportation, over 70 billion dollars are wasted every year searching for parking. In that process, we waste 3.6 billion hours of time and 1.7 billion gallons of fuel. That is a lot of wasted resource. In this project, I propose a novel parking management system, which consists of hardware and software modules. On the hardware side, Raspberry Pi device is used along with few other parts like sensors and cameras. On the software side, python modules are implemented with efficient data-management. To test the system, I have modeled different possible actions of the drivers and ensured that the proposed parking system performs perfectly. I have outlined three core situations. First one is when drivers park correctly, the second one has error-correction, and the third one requires error correction involving multiple cars. This system can be used in any large parking structure in the modern smart cities. Some examples are hospitals, companies, downtown, airports, malls, events etc. The system is affordable, as the hardware-cost is about $200 for each parking spot.
机译:在现代社会中,我们经常花5到10分钟设法在停车库中找到一个地方。停车库是司空见惯的,但它们非常低效。根据INRIX完成的一项研究,每年都浪费了车辆和运输的权威,超过700亿美元寻找停车场。在这一过程中,我们浪费了36亿小时和17亿加仑的燃料。这是很多浪费的资源。在该项目中,我提出了一种新颖的停车管理系统,包括硬件和软件模块。在硬件侧,覆盆子PI器件与传感器和摄像机相同的其他部分一起使用。在软件侧,使用高效的数据管理实现Python模块。为了测试系统,我对驱动程序进行了建模不同的可能动作,并确保所提出的停车系统进行完美。我已经概述了三个核心情况。第一个是当司机停放正确时,第二个具有纠错,第三个需要涉及多个汽车的纠错。该系统可用于现代智能城市的任何大型停车结构。一些例子是医院,公司,市中心,机场,商场,活动等。系统价格实惠,因为每个停车位的硬件成本约为200美元。

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