A Novel Learning Method for Traffic Flow Forecasting by Seasonal SVR with Chaotic Simulated Annealing Algorithm

The prediction of traffic flow in cities has always been one of the most important issues in the study of road traffic congestion in the world. However, it is difficult to accurately predict the traffic flow between cities, because the traffic flow prediction process involves a more complex nonlinear data model, especially during the daily peak hours, the traffic flow data presents a cycle Sexual ...