The invention provides a parking space prediction method, device and equipment, and relates to the field of computers. According to the method, target parking data are determined, the target parking data comprise S items of target data, the S items of target data comprise K1 items of target data, the K1 items of target data represent periodic characteristics related to parking, and K1 is a positive integer smaller than or equal to S; and respectively inputting the S pieces of target data into S neurons of an input layer in the target parking space prediction model to obtain a target parking space use result which is used for determining remaining available parking spaces. And the accuracy of predicting the remaining parking spaces is improved.

    本申请提供车位预测方法、装置和设备,涉及计算机领域。在该方法中通过确定目标停车数据,目标停车数据包括S项目标数据,S项目标数据包括K1项目标数据,K1项目标数据表示与停车相关的周期性特征,K1为小于或等于S的正整数;将S项目标数据分别输入目标车位预测模型中输入层的S个神经元,获得目标车位使用结果,目标车位使用结果用于确定剩余可用的停车位。提升了预测剩余车位的准确度。


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    Title :

    Parking space prediction method, device and equipment


    Additional title:

    车位预测方法、装置和设备


    Contributors:
    HUANG YAO (author) / WANG WENMING (author) / SUN CONGJUN (author) / WU YAWEN (author) / XIANG FULIN (author) / ZHANG LI (author)

    Publication date :

    2024-08-30


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen





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