DocumentCode :
663276
Title :
Algorithms and concepts for an onboard train localization system for safety-relevant services
Author :
Lauer, Martin ; Stein, Daniele
Author_Institution :
Inst. of Meas. & Control Syst., Karlsruhe Inst. of Technol., Karlsruhe, Germany
fYear :
2013
fDate :
Aug. 30 2013-Sept. 1 2013
Firstpage :
65
Lastpage :
70
Abstract :
This paper describes a system that enables a railway vehicle to determine its position in a track network accurately. The system does not rely on trackside hardware like balises or axle counters but is based solely on onboard sensors. It is composed out of drift-free velocity estimates of an eddy current sensor, a GNSS sensor, and a geodetic and topological track map. The paper develops an algorithm based on a probabilistic modeling that fuses the data of those sensors and determines position estimates robustly. We describe how we can treat ambiguities and stochastic uncertainty adequately and we introduce the concept of virtual balises that replace in software what is implemented by trackside balises in present train protection systems. The technique of onboard train localization is one important contribution to future train protection systems that are based on onboard sensors rather than trackside infrastructure and that are more flexible and less expensive than today´s systems without loss of safety.
Keywords :
eddy currents; position control; railway safety; satellite navigation; sensors; GNSS sensor; axle counters; drift-free velocity estimates; eddy current sensor; geodetic map; onboard sensors; onboard train localization; onboard train localization system; position estimates; probabilistic modeling; railway vehicle; safety-relevant services; stochastic uncertainty; topological track map; track network; trackside hardware; trackside infrastructure; train protection systems; virtual balises; Global Positioning System; Hidden Markov models; Rail transportation; Sensors; Technological innovation; Tracking; Velocity measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Rail Transportation (ICIRT), 2013 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-5278-9
Type :
conf
DOI :
10.1109/ICIRT.2013.6696269
Filename :
6696269
Link To Document :
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