NDLI: Switching LDS detection for GNSS-based train integrity monitoring system

Content Provider	IET Digital Library
Author	Li, Sihui Cai, Baigen Shangguan, Wei Schnieder, Eckehard Toro, Federico Grasso
Abstract	Train integrity whilst in service establishes the foundation for railway safety. This study investigates train integrity detection which reliably deduces whether the train consists remain intact. A switching linear dynamic system (SLDS) based train integrity detection method is proposed for Global Navigation Satellite System (GNSS) based train integrity Monitoring System (TIMS) using the relative distance, velocity and acceleration of the locomotive and the last van. There, Expectation Maximisation (EM) algorithm estimates the parameters of SLDS model while the Gaussian Sum Filter infers train integrity state. After that, to cope with false detection and misdetection, a verification procedure and train parting time estimation are designed. The approach is evaluated with both field trials and simulated data. Results show that the false alarm rate and misdetection rate of SLDS-based integrity detection approach are 0 and 0.09% respectively, which proves better than the estimated train length based detection model and Hidden Markov Model (HMM).
Starting Page	299
Ending Page	307
Page Count	9
ISSN	1751956X
Volume Number	11
e-ISSN	17519578
Issue Number	Issue 5, Jun (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/11/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2016.0060
Journal	IET Intelligent Transport Systems
Publisher Date	2017-03-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	EM Algorithm Expectation Maximisation Algorithm Expectation-maximisation Algorithm False Alarm Rate Gaussian Sum Filter Global Navigation Satellite System GNSS-based Train Integrity Monitoring System Hidden Markov Model HMM Markov Processes Misdetection Rate Radio Navigation And Direction Finding Railway Safety Relative Distance Satellite Navigation SLDS Model Switching Linear Dynamic System TIMS Train Integrity Detection Method Train Length Based Detection Model Train Parting Time Estimation Verification Procedure
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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