International Journal of Sustainable Transportation Technology


Train Localization using Unscented Kalman Filter–Based Sensor Fusion

Faruqi, Ismail (Instrumentation and Control Research Group, Institut Teknologi Bandung, Indonesia)
Waluya, Muhammad (Instrumentation and Control Research Group, Institut Teknologi Bandung, Indonesia)
Nazaruddin, Yul (Instrumentation and Control Research Group, Institut Teknologi Bandung, Indonesia, National Center for Sustainable Transportation Technology, Indonesia)
Tamba, Tua (Department of Electrical Engineering, Parahyangan Catholic University, Indonesia, National Center for Sustainable Transportation Technology, Indonesia)

Article Info

Publish Date
30 Oct 2018

Abstract

This paper presents an application of sensor fusion methods based on Unscented Kalman filter (UKF) technique for solving train localization problem in rail systems. The paper first reports the development of a laboratory-scale rail system simulator which is equipped with various onboard and wayside sensors that are used to detect and locate the train vehicle movements in the rail track. Due to the low precision measurement data obtained by each individual sensor, a sensor fusion method based on the UKF technique is implemented to fuse the measurement data from several sensors. Experimental results which demonstrate the effectiveness of the proposed UKF-based sensor fusion method for solving the train localization problem is also reported.

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Journal Info
International Journal of Sustainable Transportation Technology
Website

Abbrev

ijstt

Publisher

Institut Teknologi Bandung

Subject

Automotive Engineering Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Transportation

Description

Aim IJSTT is an innovative open access journal for high-quality research in transportation and infrastructure system by focusing particularly on interdisciplinary and multidisciplinary research. IJSTT welcomes submissions from all disciplines, including physics, chemistry, engineering and related ...