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    Pursuing Precise Vehicle Movement Trajectory in Urban Residential Area Using Multi-GNSS RTK Tracking

    Access Status
    Open access via publisher
    Authors
    Sun, Q.
    Xia, J.
    Foster, J.
    Falkmer, Torbjorn
    Lee, H.
    Date
    2017
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Sun, Q. and Xia, J. and Foster, J. and Falkmer, T. and Lee, H. 2017. Pursuing Precise Vehicle Movement Trajectory in Urban Residential Area Using Multi-GNSS RTK Tracking, pp. 2361-2376.
    Source Title
    Transportation Research Procedia
    DOI
    10.1016/j.trpro.2017.05.255
    ISSN
    2352-1457
    School
    Health Sciences Research and Graduate Studies
    URI
    http://hdl.handle.net/20.500.11937/55006
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 The Authors. Published by Elsevier B.V. Close-to-reality vehicle movement trajectory data can be useful in many transport and geography studies when precise vehicle localization or timing is required in the application. Vehicle kinematic tracking by GPS (Global Positioning System) varies in the data accuracy depending on some factors such as the receiver capability, satellites availability. Nevertheless, advanced positioning techniques offer possibilities to enhance the tracking data quality. In this paper, the high performance of multi-GNSS (multiple Global Navigation Satellite Systems) with Real-time Kinematic (RTK) solution was investigated aiming to pursue precise vehicle movement trajectory in an urban residential area of Australia. We systematically compared vehicle kinematic recordings between different positioning solutions by multi-GNSS and GPS-only approaches. Different elevation cut-off angles ranging from 5 - 35° were applied to simulate satellites' availability in different sky view conditions. The results showed that the multi-GNSS approach outperformed conventional GPS positioning in availability and positioning accuracy, and RTK solution at 10Hz generated ideal vehicle movement trajectory suitable for driving behaviours studies.

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