DocumentCode
3597432
Title
Modelling Communication Based Train Control System for Dependability Analysis of the LTE Communication Network in Train Control Application
Author
Khanh Nguyen ; Beugin, Julie ; Berbineau, Marion ; Kassab, Mohamed
Author_Institution
IFSTTAR, Univ. Lille Nord De France, Lille, France
fYear
2014
Firstpage
320
Lastpage
325
Abstract
The Communication Based Train Control (CBTC) systems today has generated immense interest in transport domain because of its ability to enhance safety and improve operational effectiveness. The current communication solutions for urban guided transport system that is based on the Wireless local area network (WLAN) becomes obsolete with a number of shortcomings in term of capacity and capability. Hence, the Long Term Evolution (LTE) is considered as a new solution for railway communication technology. Before widely deploying this new solution in railway industry, it must be evaluated and tested to ensure the desired performance level for CBTC system according to the railway safety standards. Therefore, it is necessary to propose a model of CBTC system that allows to consider the behaviours of the LTE communication network in real time. In this paper, we propose to use Petri nets for modelling CBTC system based on a LTE architecture. Using this model, preliminary dependability analysis for the data communication system based on the LTE technology is then performed.
Keywords
Long Term Evolution; Petri nets; rail traffic control; railway communication; CBTC systems; LTE communication network; Petri nets; WLAN; communication based train control system; communication solutions; dependability analysis; long term evolution; railway communication technology; railway industry; railway safety standards; train control application; urban guided transport system; wireless local area network; Analytical models; Delays; Handover; Long Term Evolution; Petri nets; Safety; CBTC system; Dependability analysis; LTE technology; Petri net modelling;
fLanguage
English
Publisher
ieee
Conference_Titel
Modelling Symposium (EMS), 2014 European
Print_ISBN
978-1-4799-7411-5
Type
conf
DOI
10.1109/EMS.2014.55
Filename
7154019
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