Research on express transport based on the ARIMA model

Abstract

Based on the express transportation data of express companies, this paper makes an in-depth study of express transportation problems. First, the evaluation model to rank the importance of cities. Second, we predict the number of express deliveries between site cities with the time-series ARIMA model. Then, the random forest model of the CART decision tree was used to predict normal shipments and express delivery quantity. Next, the planning model is established based on the two parameters of railway transportation fixed cost and rated loading volume to plan the transportation scheme with the lowest cost of the express delivery company. Finally, the delivery requirements and model parameter estimates were estimated through the KDE model.