DocumentCode
2466624
Title
Time series modeling and predicting for Highway Transport Freight
Author
Wang, Hongdong
Author_Institution
Sch. of Sci., Shenyang Ligong Univ., Shenyang, China
fYear
2011
fDate
24-26 June 2011
Firstpage
5603
Lastpage
5605
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9172-8
Type
conf
DOI
10.1109/RSETE.2011.5965622
Filename
5965622
Link To Document