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.Read moreRead less
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.Read moreRead less