Study of Traffic Flow Prediction Based on Wavelet Analysis and Autoregressive Integrated Moving Average Model

Abstract:

Based on the analysis of the fundamental characteristics of the field traffic system and traffic flow,this paper presents a new method of traffic flow prediction.The theory of wavelet analysis is applied to eliminating the noise from the realtime traffic data to better reflect a real traffic flow.Based on the processed traffic data,the timeseries model,autoregressive integrated moving average model(ARIMA)is used to predict traffic flows in different periods.Finally,the paper presents numerical examples on the field data to testify the the proposed model.