Continuous-memory adaptive heterogeneous space-time diagram convolution traffic prediction method and system

The invention belongs to the technical field of traffic prediction, and particularly discloses a continuously memorized adaptive heterogeneous space-time diagram convolution traffic prediction method and system.The method comprises the steps that traffic flow data and historical memories of flow data are input into a memory input layer, and the memory input layer outputs a time sequence; the time sequence is used as the input of a first sub-layer of a heterogeneous space-time diagram convolution layer, the heterogeneous space-time diagram convolution layer is provided with a plurality of sub-layers, the output of the previous sub-layer is the input of the next sub-layer, different space-time heterogeneous diagrams are constructed, and the space-time heterogeneous diagrams are used for completing the diagram convolution operation. And each layer of the heterogeneous space-time diagram convolution layer outputs a time sequence to the space-time information fusion layer to obtain traffic flow prediction data and a new historical memory. By adopting the technical scheme, the heterogeneity of the traffic flow data is captured, the long-term dependence of the traffic flow is obtained through the historical information, and the prediction effect is improved.