Traffic flow prediction based on nonlinear weight decreasing pso-svr univariate time series prediction algorithm

HIGHLIGHTS

• What: The aim of this paper is to investigate the application of car in the field of transport to solve the problem of urban congestion. The dataset used in this paper is from the publicly released dataset of Kaggle, the dataset contains two variables, time and traffic flow, and records the traffic flow data from 2017/5/25 0:00:00 to 2017/6/30 23:00:00, the data interval is 1 hour, and the change of the traffic flow is shown in Figure 1. The model is learnt and trained on historical data to obtain . . .
  

   

  

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