Traffic Flow Trend Forecast of Public Bicycle Network Based on ARIMA Model

Abstract

The traffic flow trend has important guiding significance for the short-term scheduling of public bicycle network. Based on the real operation data of the public bicycle system in Shenzhen, apply ARIMA model to predict the traffic trend of public bicycle outlets and establishes the model parameters with residual analysis. Experimental results show that the model has the advantages of high forecasting accuracy, small error and simple calculation.