Title :
Time series modeling and predicting for Highway Transport Freight
Author_Institution :
Sch. of Sci., Shenyang Ligong Univ., Shenyang, China
Abstract :
This paper builds a ARMA Model based on Highway Transport Freight from 1996 to 2007 in China. Time Series of each year was decomposed to trend item and random item, then recognize, distill, do linear superposition to trend item and random item. The ARMA model can be used to forecast the trend of Highway Transport Freight with high predictive precision in the short term.
Keywords :
autoregressive moving average processes; freight handling; time series; transportation; ARMA model; China; highway transport freight; time series modeling; time series predicting; Artificial neural networks; Computational modeling; Forecasting; Predictive models; Presses; Road transportation; Time series analysis; ARMA model; Highway Transport Freight; Prediction; Time series models;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5965622
