The invention discloses a traffic flow prediction method and device, equipment, a storage medium and a product, and relates to the technical field of computers, and the traffic flow prediction method comprises the steps: obtaining a target traffic flow matrix of a to-be-predicted region; based on the target traffic flow matrix, through a preset flow distribution prediction model, space-time dependency relationship modeling of the road node pairs is carried out, and a target map signal matrix is obtained; performing flow prediction on the to-be-predicted area based on the graph signal matrix and the target traffic flow matrix to obtain a target flow prediction result of the to-be-predicted area; and based on the target traffic prediction result, optimizing and updating the traffic distribution prediction model through a preset double-layer optimization task framework to obtain an optimized traffic distribution prediction model. According to the method, the space-time dependency relationship information of the road node pairs in the to-be-predicted area is effectively captured by using the pre-trained flow distribution prediction model, and the accuracy of traffic flow prediction is improved.
本申请公开了一种交通流量预测方法、装置、设备、存储介质及产品,涉及计算机技术领域,公开了交通流量预测方法,包括:获取待预测区域的目标交通流量矩阵;基于目标交通流量矩阵,通过预设的流量分布预测模型进行道路节点对的时空依赖关系建模,得到目标图信号矩阵;基于图信号矩阵和目标交通流量矩阵,对待预测区域进行流量预测,得到待预测区域的目标流量预测结果;基于目标流量预测结果,通过预设的双层优化任务框架,对流量分布预测模型进行优化更新,得到优化后的流量分布预测模型。本申请利用预训练的流量分布预测模型实现有效捕捉待预测区域中道路节点对的时空依赖关系信息,提高交通流量预测的准确性。
Traffic flow prediction method, device, equipment, storage medium and product
交通流量预测方法、装置、设备、存储介质及产品
2025-01-03
Patent
Electronic Resource
Chinese
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