DocumentCode :
1761778
Title :
Parallel Monitoring for the Next Generation of Train Control Systems
Author :
Junfeng Wang ; Jungang Wang ; Roberts, C. ; Lei Chen
Author_Institution :
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
Volume :
16
Issue :
1
fYear :
2015
fDate :
Feb. 2015
Firstpage :
330
Lastpage :
338
Abstract :
Railway accidents, such as collisions, conflicts, and derailments, are still happening, despite the implementation of advanced railway control systems. One of the reasons for this is the architecture employed in current systems and existing operating processes, which allow human errors to occur. This paper processes a design concept and architecture for the next generation of train control systems (NGTCS). Some key technologies, such as parallel monitoring, system-level “fail-safe”, data sharing and fusion, common-mode cause error avoidance, and the illegal or incorrect operation of alarms by railway workers, are considered. This paper also details the principle and method of parallel monitoring for some key operations such as train tracking interval, interlocking, and train speed limit protection. The NGTCS is a highly intelligent monitoring system that represents system theory, system safety, deeper integration, and data fusion between subsystems and parallel monitoring on critical subjects.
Keywords :
intelligent transportation systems; rail traffic control; railway safety; sensor fusion; NGTCS; common-mode cause error avoidance; data fusion; data sharing; intelligent monitoring system; interlocking; next generation of train control systems; parallel monitoring; railway workers; system safety; system theory; system-level fail-safe; train speed limit protection; train tracking interval; Communication system signaling; Control systems; Monitoring; Rail transportation; Railway accidents; Safety; Critical items; fail-safe; next generation; parallel monitoring; railway signaling; system structure; train control system;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2014.2332160
Filename :
6857336
Link To Document :
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