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Socio-Economic Objective : Road Safety
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP220100436

    Funder
    Australian Research Council
    Funding Amount
    $450,000.00
    Summary
    Coach My Ride: Mentorable Interfaces to support Older Australians' Mobility. This project aims to co-design new interfaces to support older Australians to collaboratively learn the use of automated vehicles. We will seek to understand the needs, expectations, and challenges of urban and rural residents, and the peer support strategies they deploy to learn technology. Mobility is key to the wellbeing of older people, but automated vehicles that are too complex will fail to deliver their promise o .... Coach My Ride: Mentorable Interfaces to support Older Australians' Mobility. This project aims to co-design new interfaces to support older Australians to collaboratively learn the use of automated vehicles. We will seek to understand the needs, expectations, and challenges of urban and rural residents, and the peer support strategies they deploy to learn technology. Mobility is key to the wellbeing of older people, but automated vehicles that are too complex will fail to deliver their promise of independent ageing. Outcomes will be a new theory of collaborative learning and new mentorable interfaces to allow older adults to mentor each other to access and use new mobility solutions. This will contribute to narrow the digital and mobility gap improving the independence, safety and wellbeing of ageing Australians.
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    Funded Activity

    Linkage Projects - Grant ID: LP100200842

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    Improving road safety: advanced hybrid vehicle-based technology for monitoring driver drowsiness. Innovative technology geared towards reducing road accidents and fatalities (for improving public health) will constitute major socio-economic benefit to Australia. The Australian Transport Safety Bureau notes fatigue as a major cause of road accidents (2006). The World Health Organisation dedicated World Health Day 2004 to road safety and emphasized the importance of combating fatigue ('Road Safety .... Improving road safety: advanced hybrid vehicle-based technology for monitoring driver drowsiness. Innovative technology geared towards reducing road accidents and fatalities (for improving public health) will constitute major socio-economic benefit to Australia. The Australian Transport Safety Bureau notes fatigue as a major cause of road accidents (2006). The World Health Organisation dedicated World Health Day 2004 to road safety and emphasized the importance of combating fatigue ('Road Safety is no Accident'). This research will develop an innovative driver drowsiness detecting technology. With drowsiness attributable to substantial road fatalities, this technology aims to reduce this emotional and socio-economic burden on the community, contributing to national and community benefit by providing a safer road environment.
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    Funded Activity

    Linkage Projects - Grant ID: LP160101193

    Funder
    Australian Research Council
    Funding Amount
    $207,000.00
    Summary
    The anatomy of a fatigue-related motor vehicle crash or near-crash. The anatomy of a fatigue-related motor vehicle crash or near-crash. This project aims to investigate the time course of multiple physiological and behavioural signals that lead to fall-asleep (on-road) driving events, to inform the next generation of driver state monitoring technologies. Falling asleep at the wheel remains a major cause of road crashes worldwide. Although technologies to monitor driver sleepiness are integral to .... The anatomy of a fatigue-related motor vehicle crash or near-crash. The anatomy of a fatigue-related motor vehicle crash or near-crash. This project aims to investigate the time course of multiple physiological and behavioural signals that lead to fall-asleep (on-road) driving events, to inform the next generation of driver state monitoring technologies. Falling asleep at the wheel remains a major cause of road crashes worldwide. Although technologies to monitor driver sleepiness are integral to the rapidly evolving autonomous vehicle industry, such technologies are limited because they measure the end-state of falling asleep, rather than the physiological and behavioural precursors, thus providing little opportunity for intervention. This project is expected to lead to new driver monitoring systems that reduce fall-asleep crashes.
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