TRAFFIC FLOW PREDICTION METHOD, AND PREDICTION MODEL GENERATION METHOD AND DEVICE

摘要

Disclosed are a traffic flow prediction method, and a prediction model generation method and device.The prediction method comprises: for a road to be predicted, acquiring historical traffic flow data of the road to be predicted within a time period prior to the current time (301); from a correlation between a pre-existing road and a traffic flow prediction model, acquiring the traffic flow prediction model corresponding to the road to be predicted (302); and inputting the historical traffic flow data within the time period prior to the current time into the traffic flow prediction model corresponding to the road to be predicted, to obtain traffic flow data within a time period after the current time (303). Since traffic flow data has high nonlinearity and uncertainty and a neural network model has a relatively high nonlinear prediction capability, the neural network model is trained according to historical traffic flow data of a road, so that a traffic flow prediction model obtained by training can relatively accurately predict the traffic flow data of the road within the time period after the current time according to the traffic flow data of the road within the time period prior to the current time.