DocumentCode
3721496
Title
Research on metro lines material consumption based on stochastic time series
Author
Cheng Wang; Zikui Lin
Author_Institution
Beijing Jiaotong University, School of Economics and Management, China
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
1
Lastpage
5
Abstract
With the improvement of city public transportation and economic development, the rapid development of urban rail transit makes the subway an increasingly important role. This paper analyzes the metro line and the metro line materials to study the consumption laws of metro line materials. Based on stochastic time series, this paper constructed metro line operation and maintenance of material consumption law model, first using the MATLAB mathematical software trend curve fitting material consumption; reuse Markov probability matrix material consumption prediction methods analyze data fluctuating around the trend curve changes law. Finally, the Beijing subway line fastener accessories as an example to empirical analysis.
Keywords
"Market research","Public transportation","Time series analysis","Predictive models","Analytical models","Curve fitting","Markov processes"
Publisher
ieee
Conference_Titel
Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on
Type
conf
DOI
10.1109/LISS.2015.7369777
Filename
7369777
Link To Document