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Positioning in real-time public transport navigation: Comparison of vehicle-based and smartphone-generated acceleration data to determine motion states of passengers

 
: Partzsch, Ina; Dürrschmidt, Gunther; Michler, Oliver; Förster, Georg

Schwieger, V. (Ed.) ; Univ. Stuttgart:
Networks for Mobility 2012. 6th International Symposium. Proceedings : September 27-28, 2012, Stuttgart, Germany
Stuttgart: Universität Stuttgart, 2012
ISBN: 978-3-00-039580-2
10 pp.
International Symposium "Networks for Mobility" <6, 2012, Stuttgart>
English
Conference Paper
Fraunhofer IVI ()
acceleration signals; state estimation; pattern recognition; public transport navigation

Abstract
Public transportation navigation systems require reliable information on motion states of passengers. This information cannot be delivered via GNSS, however acceleration data gathered by smartphone sensors can be a supporting source of information for navigation processes. This article describes all development steps from raw data to motion states and first results of signal analyses for designing a motion state classifier. Used sources are acceleration measurements of the Dresden measurement tram with sensors in the vehicle body and measurements of Android smartphones. Both sources show similarities useful for motion state classification.

: http://publica.fraunhofer.de/documents/N-214664.html