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Mobile Phone-based Vehicle Positioning and Tracking and Its Application in Urban Traffic State Estimation
KTH, School of Information and Communication Technology (ICT), Integrated Devices and Circuits.ORCID iD: 0000-0002-4691-2318
2012 (English)Licentiate thesis, monograph (Other academic)
Abstract [en]

Enabling the positioning and tracking of mobile phones has emerged as a key facility of existing and future generation mobile communication systems. This feature provides opportunities for many value added location-based services and systems. For instance, mobile phones are increasingly employed in traffic infor­mation systems and present several advantages over traditional sensor-based traffic systems. However, there are still plenty of aspects that must be investigated and addressed towards the fully operational deployment. The aim of the research per­formed in this thesis is to examine and propose solutions to two of the problems in the deployment of a mobile phone-based smart traffic information system.

    The first problem investigated is the mobile phone-based vehicle positioning and tracking. The investigation starts with a comprehensive study of mobile positioning with emphasis on existing standardizations. Based on the mobile location methods standardized in UMTS, possible hybrid solutions are proposed. In addition, a tool for simulating one of the UMTS mobile positioning methods (i.e., OTDOA) in vehicular environment is developed. A Kalman filter-based hybrid method, which can track the mobile phones traveling on-board vehicles, is then implemented. This method fuses two of the UMTS standard methods (i.e., OTDOA and A-GPS) loca­tion estimates at the state-vector level. Statistical simulation results demonstrate that the hybrid method can provide better position and velocity estimations than each individual method.

    The second problem addressed is the mobile phone-based urban traffic state estima­tion. A traffic simulation-based framework is proposed to emulate and evalu­ate the operation of urban traffic state estimation with A-GPS mobile phones as probes. Based on the emulated mobile phone probe data, algorithms of location data processing/filtering and average speed estimation are developed and then evaluated by comparing against “ground truth” data from the traffic simulation. Moreover, the estimated average speeds are classified to different traffic condition levels, which are prepared for displaying a traffic map on the mobile phone display. The achieved simulation results demonstrate the effectiveness of the proposed method, which is fundamental for the subsequent development of a mobile phone-based smart traffic information system demonstrator.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology , 2012. , xv, 83 p.
Trita-ICT/MAP AVH, ISSN 1653-7610 ; 2012:01
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
SRA - ICT; SRA - Transport
URN: urn:nbn:se:kth:diva-49448ISBN: 978-91-7501-204-9OAI: diva2:459739
2012-01-18, Sal C2, Electrum, Isafjordsgatan 26, Kista, 14:00 (English)
TrenOp, Transport Research Environment with Novel Perspectives
QC 20111206Available from: 2011-12-06 Created: 2011-11-28 Last updated: 2011-12-06Bibliographically approved

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