Title :
Passenger Turnover Structure Prediction Based on Markov-Multi Product Alternative Model
Author :
Song, Xin-Sheng ; Wu, Bing-Hua ; Li, Ai-Zeng ; Li, Hui
Author_Institution :
Dept. of Traffic Eng., Henan Univ. of Urban Constr., Pingdingshan, China
Abstract :
Aims at the issue of passenger turnover structure, based on Markov theory building the multi-product alternative forecast model, obtained the future passenger turnover structure under the stable state trend of transportation development. In practice this method has the strong feasibility, through the prediction of the passenger turnover this thesis could provide a viable research ideas for the harmonious order of passenger transport structure.
Keywords :
Markov processes; forecasting theory; transportation; Markov theory; multiproduct alternative forecast model; passenger turnover structure prediction; transportation development; Buildings; Economic forecasting; Markov processes; Prediction methods; Predictive models; Regression analysis; Road transportation; Stochastic processes; Sustainable development; Traffic control;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5364843