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Research Topic : TRANSPORT
Field of Research : Psychology
Field of Research : Transport Engineering
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  • Funded Activity

    Linkage Projects - Grant ID: LP130100270

    Funder
    Australian Research Council
    Funding Amount
    $750,000.00
    Summary
    The Australian naturalistic driving study: innovation in road safety research and policy. A revolutionary new approach, the naturalistic driving study, will investigate what people actually do when they drive, in normal and safety-critical situations. It will provide Australia with answers to some intractable, high priority, road safety problems that cannot be answered using current methods, thereby saving hundreds of lives.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100050

    Funder
    Australian Research Council
    Funding Amount
    $570,000.00
    Summary
    Integrated facility for recording driver and road user behaviour. The integrated facility will be used to record and analyse data on driver and road user behaviour, in normal and safety-critical situations, for thousands of Australian drivers. The data yielded will be used to develop new and improved countermeasures for reducing road deaths and serious injuries on Australian roads.
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    Funded Activity

    Linkage Projects - Grant ID: LP0209909

    Funder
    Australian Research Council
    Funding Amount
    $67,635.00
    Summary
    Drivers' Behavioural Responses to Traffic Signs. Traffic signs are ubiquitous in the road environment; research to improve their effectiveness can be very cost-effective in terms of safety improvements. Conducting traffic sign research on real roads has many difficulties, such as ethical considerations and lack of control. To overcome this, the research will be conducted in a driving simulator, in which the interaction between drivers and their equipment/environment will be studied. The aim of .... Drivers' Behavioural Responses to Traffic Signs. Traffic signs are ubiquitous in the road environment; research to improve their effectiveness can be very cost-effective in terms of safety improvements. Conducting traffic sign research on real roads has many difficulties, such as ethical considerations and lack of control. To overcome this, the research will be conducted in a driving simulator, in which the interaction between drivers and their equipment/environment will be studied. The aim of this project is to further understand drivers? behavioural responses to traffic signs, the expected outcome being to make the exchange of information between the driver and traffic sign as smooth and efficient as possible.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220101067

    Funder
    Australian Research Council
    Funding Amount
    $405,924.00
    Summary
    Understanding and improving sustained attention under vigilance conditions. This project aims to address a major global challenge caused by technological advances: human operators have to monitor computer-control (e.g., in autonomous vehicles, rail and airtraffic control) but sustaining attention is very difficult under these conditions. Developing innovative behavioural and neural methods, this internationally collaborative project bridges basic and applied science to understand lapses of atten .... Understanding and improving sustained attention under vigilance conditions. This project aims to address a major global challenge caused by technological advances: human operators have to monitor computer-control (e.g., in autonomous vehicles, rail and airtraffic control) but sustaining attention is very difficult under these conditions. Developing innovative behavioural and neural methods, this internationally collaborative project bridges basic and applied science to understand lapses of attention under monitoring conditions. It creates a novel intervention, based on brain activity patterns, to improve performance. Outcomes will increase our neural understanding of attention and lay a foundation for a novel system to detect lapses of attention in high-risk environments, preventing errors before they occur.
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