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PARKING LOT SPACE OCCUPANCY RATE PREDICTION METHOD, DEVICE, AND APPARATUS, AND STORAGE MEDIUM

机译:停车位占用率的预测方法,设备和装置以及存储介质

摘要

The invention is applicable to the technical field of information, and provides a parking lot space occupancy rate prediction method, device, and apparatus, and a storage medium. The method comprises: when a space prediction request of a parking lot at a preset time point is received, obtaining, from historical data of the parking lot, the number of free parking spaces of the parking lot at a last recorded time point; predicting the number of free parking spaces of the parking lot at the preset time point by means of a pre-trained hybrid prediction model and the number of free parking spaces at the last recorded time point; obtaining, according to the predicted number of free parking spaces of the parking lot at the preset time point, a space occupancy rate of the parking lot at the preset time point, and outputting the same, wherein the hybrid prediction model is obtained by means of a wavelet neural network and a non-stationary stochastic process in combination with training. The invention realizes medium-term and long-term prediction of the space occupancy rate, effectively reduces the computational complexity of space occupancy prediction, effectively improves the accuracy of space occupancy prediction, and improves the efficiency of space occupancy prediction.
机译:本发明适用于信息技术领域,提供了一种停车场空间占用率预测方法,装置,装置和存储介质。该方法包括:当接收到预设时间点的停车场的空间预测请求时,从该停车场的历史数据中,获取最后记录的该时间点的该停车场的空闲停车位数量;通过预先训练的混合预测模型,预测所述预设时间点的停车场的可用停车位数量,以及最后记录的时间点的可用停车位数量;根据所述预设时间点的停车场的空闲停车位的预测数量,获取所述预设时间点的停车场的空置率,并输出,所述混合预测模型通过小波神经网络和结合训练的非平稳随机过程。本发明实现了空间占用率的中长期预测,有效降低了空间占用预测的计算复杂度,有效提高了空间占用预测的准确性,提高了空间占用预测的效率。

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