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Title:

Calculation of Line Capacity for Railways under Ice and Snow Conditions

Accession Number:

01557506

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

The line capacity of a railway is affected by numerous factors, which varies under severe weather conditions due to equipment or facility impairments. To date, there is no general approach to capacity calculation. In this paper, the influencing factors on railway line capacity variations are identified under severe weather conditions. Based on the variations, the functional deterioration and fluctuation of facilities and equipment for train operations are investigated. The challenges of severe weather on train operations and a dynamic carrying capacity method for railway lines are explained. First, various states of the China Train Control System (CTCS) under severe ice and snow conditions are discussed. Second, descriptive and analysis models of train operation under a disaster situation are given based on a SPN (Stochastic Petri Network). Since the SPN and Markov Chain Model (MCM) are isomorphic, the transition probability of train operation conditions is analyzed in depth by MCM. Then dynamic line capacity transition probability and fuzzy comprehensive evaluation matrixes are constructed, and the Chapman-Kolmogorov (C-k) equation is adopted for analyzing the capacity variation of a railway line, as well as to provide a basis for decision making in operation plans during severe weather conditions.

Supplemental Notes:

This paper was sponsored by TRB committee AR040 Freight Rail Transportation.

Monograph Accession #:

01550057

Report/Paper Numbers:

15-5286

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Xu, Jie
Kang, Yashu
Ning, Yao
Wang, Li
Meng, Xuelei
Dou, Fei
Qin, Yong
Jia, Limin

Pagination:

19p

Publication Date:

2015

Conference:

Transportation Research Board 94th Annual Meeting

Location: Washington DC, United States
Date: 2015-1-11 to 2015-1-15
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Environment; Operations and Traffic Management; Railroads; I73: Traffic Control

Source Data:

Transportation Research Board Annual Meeting 2015 Paper #15-5286

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 1:46PM