Traffic flow prediction method based on multiple tasks

The invention discloses a traffic flow prediction method based on multiple tasks, and relates to the field of data mining. The method comprises the following steps: S1, setting a plurality of highwaysection monitoring points, and acquiring historical traffic flow data of each highway section monitoring point; S2, aligning the acquired historical traffic flow data time sequence, and performing data cleaning and data preprocessing; S3, constructing a space-time dependency relationship image for representing each highway section monitoring point, and obtaining image data; S4, inputting the obtained graph data into a multi-task model according to a time sequence, and predicting the traffic flow and travel time of a future traffic network. The method has the characteristics that the traffic flow prediction precision capability can be improved, and the data utilization efficiency can be improved. 本发明公开了一种基于多任务的交通流量预测方法，涉及数据挖掘领域。本发明包括如下步骤：S1、设置若干个高速路段监测点，并获取各个高速路段监测点的历史交通流量数据；S2、将获取的历史交通流量数据时序对准，并进行数据清洗及数据预处理；S3、构建用