The invention discloses a traffic prediction method and system based on a spatio-temporal hierarchical network, and the method comprises the steps: obtaining traffic data, carrying out the preprocessing of the traffic data, and constructing a hierarchical region enhancement network and a traffic feature matrix; taking the hierarchical region enhancement network and the traffic feature matrix as input of a prediction model, learning spatial correlation and temporal correlation, and outputting a prediction result; the prediction model comprises a spatial correlation model of regional perception and a temporal correlation model of regional perception. The system comprises a preprocessing module and a prediction module. According to the invention, the spatial-temporal correlation in the traffic data is effectively captured, and the accuracy of traffic flow prediction is improved. The traffic prediction method and system based on the spatio-temporal hierarchical network can be widely applied to the field of traffic prediction.
本发明公开了一种基于时空层次化网络的交通预测方法及系统,该方法包括:获取交通数据并对交通数据进行预处理,构建得到层次区域增强网络和交通特征矩阵;将层次区域增强网络和交通特征矩阵作为预测模型的输入,学习空间相关性和时间相关性,输出预测结果;所述预测模型包括区域感知的空间相关性模型和区域感知的时间相关性模型。该系统包括:预处理模块和预测模块。通过使用本发明,有效捕获交通数据中的时空相关性,提高交通流量预测的准确性。本发明作为一种基于时空层次化网络的交通预测方法及系统,可广泛应用于交通预测领域。
Traffic prediction method and system based on spatio-temporal hierarchical network
一种基于时空层次化网络的交通预测方法及系统
2022-03-29
Patent
Elektronische Ressource
Chinesisch
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