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
fDate :
7/1/2015 12:00:00 AM
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"
Conference_Titel :
Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on
DOI :
10.1109/LISS.2015.7369777