QR code location based reverse car-searching route recommendation model

Zhenxiang Chen, Jiabin Fu, R. Sun, Hongbo Han
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引用次数: 4

Abstract

To deal with the reverse car-searching issue in large buildings and parking lots, a Quick Response Code (QR code) based reverse car-searching route recommendation model is designed. By scanning the deployed QR codes, a Smartphone can pinpoint the host location and parking location efficiently. Based on the submitted location information, the central control system can finally return the recommended routes, which facilitates a host to reach the parking location effectively. In our model, the reverse car-searching route is divided into two parts: choosing the optimal exports (elevator) and computing the shortest walking distance route. Based on the optimal export selection algorithm and regional shortest path algorithm, our model can choose the prior exports (elevator) effectively, and then recommend the optimal walking route in the buildings and parking lots. The simulation shows that this low-cost system can effectively solve the reverse car-searching problem in large buildings and parking lots, save the driver's car-searching time and improve the utilization rate of parking facilities.
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基于二维码定位的反向寻车路线推荐模型
针对大型建筑和停车场的逆向寻车问题,设计了一种基于QR码的逆向寻车路线推荐模型。通过扫描部署的QR码,智能手机可以有效地确定主机位置和停车位置。中央控制系统根据提交的位置信息,最终返回推荐路线,方便主人有效到达停车位置。在我们的模型中,逆向寻车路线分为两个部分:选择最优出口(电梯)和计算最短步行距离路线。基于最优出口选择算法和区域最短路径算法,该模型可以有效地选择优先出口(电梯),然后推荐建筑物和停车场的最优步行路线。仿真结果表明,该低成本系统能有效解决大型建筑物和停车场的逆向寻车问题,节省驾驶员的寻车时间,提高停车设施的利用率。
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