The invention is suitable for the field of intelligent transportation systems, and provides a construction method and system of a traffic volume prediction model, and the method comprises the steps: dividing preprocessed data into a test set, a verification set and a test set; constructing an adjacent matrix according to the positions of the road segment nodes, wherein the adjacent matrix is used for representing the correlation between the road segment nodes; the data in the test set is subjected to time dependency relationship extraction and space dependency relationship extraction according to a sequence, the time dependency relationship is used for representing the weight relationship between time steps, and the space dependency relationship is used for representing the weight relationship between road segment nodes; and performing full connection layer processing on extraction results of the time dependency relationship and the space dependency relationship to complete construction of a traffic volume prediction model. The embodiment of the invention has the beneficial effects that the time dependence, the space dependence and the trend mode of the road traffic are effectively learned, so that the traffic volume can be efficiently predicted.
本发明适用于智能运输系统领域,提供了一种交通量预测模型的构建方法和系统,所述方法包括将经过预处理的数据划分为测试集、验证集和测试集;根据路段节点的位置构建邻接矩阵,所述邻接矩阵用于表征路段节点之间的相关性;对所述测试集中的数据按序列分别进行时间依赖关系和空间依赖关系的提取,所述时间依赖关系用于表征时间步之间的权重关系,所述空间依赖关系用于表征路段节点之间的权重关系;对时间依赖关系和空间依赖关系的提取结果进行全连接层处理,完成交通量预测模型的构建。本发明实施例的有益效果是:有效的对道路交通的时间依赖、空间依赖、趋势模式进行了学习,从而能够高效的预测交通量。
Construction method and system of traffic volume prediction model
一种交通量预测模型的构建方法和系统
04.07.2023
Patent
Elektronische Ressource
Chinesisch
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