The invention discloses an intelligent parking stall recommendation method and system based on big data, and the method achieves the analysis according to the personnel density of a plurality of sub-regions of a destination where a user needs to go through through the arrangement of a personnel analysis module, a vehicle analysis module, a recommendation generation module and a parking feedback module. Therefore, the user is guided to go to the parking lot in the direction of the destination subarea with the low personnel density for parking, and the problem that in the prior art, people in part of the direction of a large public place with multiple entrances and exits are too dense, and corresponding roads are blocked can be effectively solved. And the problem of people flow and traffic flow inclination in public places can be effectively solved, so that the travel and parking experience is improved.
本发明公开了基于大数据的智慧停车车位推荐方法和系统,通过人员分析模块、车辆分析模块、推荐生成模块以及泊车反馈模块的设置,实现了根据使用者所要前往的目的地的多个子区域的人员密集程度进行分析,从而引导使用者前往人员密集程度交底的目的地子区域方位的停车场进行泊车,可以有效的避免现有情况中多出入口的较大公共场所部分方位人员过于密集、对应道路较为堵塞的问题,可以有效的改善这些公共场所的人流车流倾斜问题,从而提升出行以及泊车体验。
Intelligent parking stall recommendation method and system based on big data
基于大数据的智慧停车车位推荐方法和系统
2022-04-12
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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