The invention discloses a traffic flow prediction method and system based on auxiliary node enhanced space-time perception. The method comprises the following steps: acquiring the position of each node and a traffic flow sequence; selecting a target node, calculating the distance between the target node and other nodes, and selecting a plurality of nodes of which the distance is smaller than a preset distance threshold or a plurality of first nodes of which the distance is minimum as auxiliary nodes; performing point-by-point embedding on the traffic flow sequence of the target node, and extracting local features; variable embedding is carried out on the traffic flow sequences of the target node and the auxiliary node, and global features are extracted; fusing the local features and the global features of the target nodes by using a time attention mechanism to obtain multi-scale features of the target nodes, and fusing the multi-scale features of the target nodes and the global features of the auxiliary nodes by using a space interactive attention mechanism to obtain fused features; and predicting the traffic flow of the target node at the next moment based on the fusion features. According to the invention, the accuracy of traffic prediction is improved.
本发明公开了一种基于辅助节点增强时空感知的交通流预测方法及系统,该方法包括:获取各节点的位置以及交通流量序列;选取目标节点,计算目标节点与其他节点之间的距离,并选择距离小于预设距离阈值的若干个节点或距离最小的前若干个节点,作为辅助节点;对目标节点的交通流量序列进行逐点嵌入,提取局部特征;对目标节点和辅助节点的交通流量序列分别进行变量嵌入,提取全局特征;利用时间注意力机制融合目标节点的局部特征和全局特征,得到目标节点的多尺度特征,并利用空间交互注意力机制融合目标节点的多尺度特征和辅助节点的全局特征,得到融合特征;基于融合特征预测目标节点在下一时刻的交通流量。本发明提升了流量预测的准确性。
Traffic flow prediction method and system based on auxiliary node enhanced space-time perception
一种基于辅助节点增强时空感知的交通流预测方法及系统
18.04.2025
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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