基于移动热点优化技术的共享单车停放方案研究

Research on Shared Bicycle Parking Scheme Based on Mobile Hotspot Optimization Technology

摘要: 随着共享单车向着大众的大量投放，单车乱停乱放、挤占城市公共空间的问题越来越严重。本方案基于骑行停放热点分布数据、城市骑行需求数据、数据可视化分析技术、正态分布线性分析模型，辅以手机APP寻车与导航模块设计、距离判断提示器设计、数据再分析技术，实现虚拟停放区域的选取、智能推荐就近停放热点、周期性的虚拟停放区域调整，最大程度上解决共享单车乱停放问题。

Abstract: With a large number of shared bicycles being released to the public, the problem of bicycles being parked indiscriminately and occupying urban public space is becoming more and more serious. The scheme is based on the distribution data of riding parking hotspots, urban riding demand data, data visualization analysis technology, normal distribution linear analysis model, assisted by mobile phone APP car search and navigation module design, distance judgment reminder design, data re-analysis technology to realize the selection of virtual parking areas, intelligent recommendation of nearby parking hotspots, periodic adjustment of virtual parking areas, and to solve the problem of shared bicycle random parking to the greatest extent.