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    Positioning Eye Fixation and Vehicle Movement: Visual-motor Coordination Assessment in Naturalistic Driving

    228164_162132_paper36.pdf (1.437Mb)
    Access Status
    Open access
    Authors
    Qian, S.
    Xia, Jianhong (Cecilia)
    Nadarajah, Nandakumaran
    Falkmer, Torbjorn
    Foster, Jonathan
    Lee, Hoe
    Date
    2015
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Qian, S. and Xia, J. and Nadarajah, N. and Falkmer, T. and Foster, J. and Lee, H. 2015. Positioning Eye Fixation and Vehicle Movement: Visual-motor Coordination Assessment in Naturalistic Driving, in Veenendaal, B. and Kealy, A. (ed), Proceedings of Research@Locate’15, the academic research stream at Locate, Mar 10-12 2015, pp. 90-99. Brisbane, Qld: ASIERA.
    Source Title
    CEUR Workshop Proceedings - Volume 1323, 2015
    Source Conference
    the Academic Research Stream at Locate, R@Loc 2015 - In Conjunction with the Annual Conference on Spatial Information in Australia and New Zealand,
    Additional URLs
    http://ceur-ws.org/
    http://ceur-ws.org/Vol-1323/paper36.pdf
    ISSN
    1613-0073
    School
    Department of Spatial Sciences
    Remarks

    Copyright © 2015 - S. Qian, J. Xia, N. Nadarajah, T. Falkmer, J. Foster and H. Lee

    URI
    http://hdl.handle.net/20.500.11937/22235
    Collection
    • Curtin Research Publications
    Abstract

    In recent years, many driving studies in the traffic safety literature have undertaken error assessments of driver behaviour. However, few studies have been able to analyse the detailed individual vision and motor behaviours of drivers, due to the lack of reliable data and available technologies. Therefore, little is currently known about drivers' visual-motor coordination involving the use of visual information to regulate their physical movements. This research sets-up a technical framework to investigate on-road drivers' visual-motor coordination via vision tracking and vehicle positioning. The driving behaviour and performance were recorded and analysed using Eye Movement Tracking, Global Navigation Satellite System (GNSS) and Geographic Information Systems (GIS). The eye tracker recorded eye fixations and duration on video images to analyse the visual pattern of individual drivers. Real-time kinematic (RTK) post-processing of multi-GNSS generated vehicle movement trajectory at centimetre-level accuracy horizontally, which encompasses precise lateral positioning, speed and acceleration parameters of driving behaviours. The eye fixation data was then geocoded and synchronised with the vehicle movement trajectory in order to investigate the visual-motor coordination of the drivers. A prototype of implementation of the framework focusing on complex U-turn manoeuvre at a roundabout in five older drivers was presented in this paper. The visualisation of spatial-temporal patterns of visual-motor coordination for individual drivers allows for a greater insight to behaviour assessment. The on-road driving test in this study has also demonstrated a discriminant and ecologically valid approach in driving behaviour assessment, which can be used in studies with other cohort populations

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