The invention discloses a smart city parking optimization management method based on big data, and relates to the technical field of parking management. The method comprises the following steps: creating 2D and 3D digital simulation models for an actual parking lot scene based on BIM; a driver selects a parking lot through the mobile terminal, and the intelligent parking management platform obtains unoccupied parking space grids and generates a path plan from an entrance to parking spaces; the intelligent parking management platform sends a planned parking path to the mobile phone of the driver, and the planned parking path is displayed through a 2D and/or 3D digital simulation model; and the driver completes parking according to the parking path. According to the invention, the driver obtains the information of the parking lot around the destination through the intelligent parking management platform and displays the remaining parking space, and the platform obtains the unoccupied parking space grid and generates the path plan from the entrance to the parking space, thereby improving the parking efficiency of the driver, and avoiding the congestion of the parking lot.

    本发明公开了一种基于大数据的智慧城市停车优化管理方法,涉及停车管理技术领域。本发明包括如下步骤:对实际停车场景基于BIM创建2D和3D的数字仿真模型;驾驶员通过移动终端选择停车场,智慧停车管理平台获取未被占用的停车位栅格并生成入口到停车位的路径规划;智慧停车管理平台向驾驶员手机发送规划好的停车路径,并以2D和/或3D数字仿真模型进行展示;驾驶员根据停车路径完成停车。本发明通过驾驶员通过智慧停车管理平台获取目的地周边停车场信息并显示停车位的余量,平台获取未被占用的停车位栅格并生成入口到停车位的路径规划,提高了驾驶员的停车效率,避免造成停车场的拥堵。


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    Titel :

    Smart city parking optimization management method based on big data


    Weitere Titelangaben:

    一种基于大数据的智慧城市停车优化管理方法


    Beteiligte:
    HAN KUN (Autor:in)

    Erscheinungsdatum :

    05.07.2024


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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