The invention belongs to the field of traffic flow prediction, and provides a traffic flow prediction method and device based on trend similarity, a medium and equipment. The method comprises the following steps: acquiring historical traffic flow data of a plurality of intersections in a set area, and extracting traffic flow time sequence characteristics of each intersection and traffic flow experience characteristics of each intersection; respectively constructing a spatial relation graph and a similar relation graph; taking the traffic flow time sequence characteristics of each intersection as node characteristics learned by a spatial relation graph and a similar relation graph, and performing weighted summation on the basis of attention weight to obtain traffic flow correlation characteristics of each intersection; fusing the traffic flow time sequence feature, the traffic flow experience feature and the traffic flow correlation feature of each intersection, predicting the traffic flow of each intersection in the set area in the future time period according to the mapping relation between the fused features and the traffic flow, and further obtaining the traffic flow ranking of all intersections in the set area. The traffic flow prediction effect is improved.
本发明属于交通流量预测领域,提供了基于趋势相似性的交通流量预测方法、装置、介质及设备。其中,该方法包括获取设定区域内若干路口的历史交通流量数据,提取每个路口的交通流量时序特征及每个路口的交通流量经验特征;分别构建空间关系图及相似关系图;将每个路口的交通流量时序特征作为空间关系图及相似关系图学习的节点特征,基于注意力权重加权求和得到每个路口的交通流量关联特征;将每个路口的交通流量时序特征、交通流量经验特征和交通流量关联特征进行融合,根据融合特征与交通流量的映射关系,预测出设定区域内每个路口的未来时间段内的交通流量,进而得到设定区域内所有路口的交通流量排名,其提升了交通流量预测的效果。
Traffic flow prediction method and device based on trend similarity, medium and equipment
基于趋势相似性的交通流量预测方法、装置、介质及设备
2024-07-02
Patent
Electronic Resource
Chinese
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