TITLE:
Establishment and Optimization of Status Assessment Variables for Heavy Haul Railway Line Service Performance
AUTHORS:
Changfan Zhang, Wendong Kong, Zhongmei Wang, Lin Jia, Shou Chen
KEYWORDS:
Set of Variables, Key Variables, Heavy Haul Railway Line, Association Rule, Principal Component Analysis
JOURNAL NAME:
Journal of Transportation Technologies,
Vol.13 No.4,
October
26,
2023
ABSTRACT: In order to address the issues of complex system structure and variable
selection difficulty for the current heavy haul railway line status evaluation
system, a three-category and three-layer heavy-haul line status evaluation
variable set construction and reduction optimization method is proposed.
Firstly, the status of heavy haul railway line is analyzed, and an initial set
of evaluation variables affecting the line status is constructed. Then, based
on the association rule and the principal component analysis method, key
variables are extracted from the initial variable set to establish the
evaluation system. Finally, this method is verified with actual data of a line.
The results show that the service performance of heavy haul railway line can
still be evaluated accurately when the evaluation variables are reduced by 60%
in the proposed method.