Applications of brain imaging methods in driving behaviour research

Applications of neuroimaging methods have substantially contributed to the scientific understanding of human factors during driving by providing a deeper insight into the neuro- cognitive aspects of driver brain. This has been achieved by conducting simulated (and occasionally, field) driving experiments while collecting driver brain signals of certain types. Here, this sector of studies is comprehensively reviewed at both macro and micro scales. Different themes of neuroimaging driving behaviour research are identified and the findings within each theme are synthesised. The surveyed literature has reported on applications of four major brain imaging methods. These include Functional Magnetic Resonance Imaging (fMRI), Electroencephalography (EEG), Functional Near-Infrared Spectroscopy (fNIRS) and Magnetoencephalography (MEG), with the first two being the most common methods in this domain. While collecting driver fMRI signal has been particularly instrumental in studying neural correlates of intoxicated driving (e.g. alcohol or cannabis) or distracted driving, the EEG method has been predominantly utilised in relation to the efforts aiming at development of automatic fatigue/drowsiness detection systems, a topic to which the literature on neuro-ergonomics of driving particularly has shown a spike of interest within the last few years. The survey also reveals that topics such as driver brain activity in semi- automated settings or the brain activity of drivers with brain injuries or chronic neurological conditions have by contrast been investigated to a very limited extent. Further, potential topics in relation to driving behaviour are identified that could benefit from the adoption of neuroimaging methods in future studies.

• Record URL:
  • https://hdl.handle.net/2123/23510
• Corporate Authors:

  University of Sydney. Institute of Transport and Logistics Studies

  University of Sydney, 144 Burren Street, Newtown, New South Wales, 2042, Australia
  Sydney, New South Wales   
• Authors:
  • Haghani, M
  • Bliemer, M C
  • Farooq, B
  • Kim, I
  • Li, Z
  • Oh, C
  • Shahhoseini, Z
  • MacDougall, H
• Publication Date: 2020-10

Media Info

• Pagination: 58p
• Serial:
  • Issue Number: ITLS-WP-20-19

Subject/Index Terms

• TRT Terms: Behavior; Brain; Drivers; Driving simulators; Image processing; Literature reviews; Perception; Physiological fatigue; Research
• ATRI Terms: Brain; Driver behaviour; Driving simulator; Human fatigue; Image processing; Literature review; Perception; Research needs
• Subject Areas: Research;

Filing Info

• Accession Number: 01759806
• Record Type: Publication
• Source Agency: ARRB Group Limited
• Files: ITRD, ATRI
• Created Date: Dec 9 2020 8:53AM