基于 LBS 的停车位共享平台设计-《计算机技术与发展》

文章信息/Info

Author(s):: SHI Wei; ZHANG Qing-yun; LI Shuai; School of Electronics andInformation Engineering,Liaoning University of Technology,Jinzhou 121001,China

Keywords:: sharing parking space; LBS; recommendation algorithm; prediction algorithm; sharing economy

摘要:: 城市停车难问题越来越突出,而小区等场所仍闲置大量车位没有被充分利用,因此造成了有车无位,有位空留的矛盾状况。为解决供求矛盾,合理调度可共享的停车位资源,文中提出一个基于共享经济的停车位共享平台。该平台将硬件与软件相结合,在硬件方面,设计出了一款停车地锁,达到智能看守停车位的效果;在软件方面,采用室内定位算法、协同过滤车位推荐算法及车辆预测算法,实现对停车位的智能化管理。该共享平台的设计基于 LBS(位置服务)定位技术,以共享经济为设计理念,旨在实现停车位的精准定位及路线导航,为需要停车位的用户提供可利用的车位资源,节约寻找时间。该共享平台既能解决城市停车难问题,又能在一定程度上缓解交通压力,使城市资源得到充分利用。

Abstract:: The difficulty of parking in cities is becoming more and more prominent,and a large number of parking spaces in residential areas are still not fully utilized,so there is a contradiction between cars and parking spaces. In order to solve the contradiction between supply and demand and reasonably arrange the shared parking space resources,we propose a parking space sharing platform based on the sharing economy. The platform combines the design of hardware with software. In hardware,a parking lock is designed to achieve the effect of intelligent guarding parking space. In software,the indoor positioning algorithm,the collaborative filtering algorithm and the vehicle prediction algorithm are used to realize the intelligent management of parking space. The design of the shared platform is based on LBS (location-based service) technology. Taking the sharing economy as the design concept,we aim to realize the precise positioning and the route navigation of the parking space,so as to provide the available parking space resources for the users who need the parking space and save searching time for them. The shared platform can not only solve the problem of parking difficulty and alleviate traffic pressure to a certain extent,but also make full use of the urban resources.