Characterisation and Prevention of Vibration-Induced Drowsiness in Drivers. The present CIs have demonstrated that vibrational frequencies of 4-7 Hz entrain brainwaves associated with the onset of sleep. Our unpublished pilot data show that higher vibrational frequencies can restore alertness. Thus future vehicle design could dampen 3-8Hz vibrations while higher frequency vibrations could counteract drowsiness or stimulate alertness. This project aims to: i) develop novel equivalent drowsiness c ....Characterisation and Prevention of Vibration-Induced Drowsiness in Drivers. The present CIs have demonstrated that vibrational frequencies of 4-7 Hz entrain brainwaves associated with the onset of sleep. Our unpublished pilot data show that higher vibrational frequencies can restore alertness. Thus future vehicle design could dampen 3-8Hz vibrations while higher frequency vibrations could counteract drowsiness or stimulate alertness. This project aims to: i) develop novel equivalent drowsiness contours for the effects of physical vibration on driver drowsiness that will form the basis of a new industry standard for transportation safety; ii) develop an innovative vibration regime to improve alertness. This research will reduce transportation injuries and deaths by enabling the design of safer transport vehicles.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100372
Funder
Australian Research Council
Funding Amount
$373,536.00
Summary
Understanding the role of self-regulation in moderating distracted driving. The goal of this project is to combine naturalistic driving and simulation methods to explore the role that driver-initiated adaptive behaviour (self-regulation) can play in mitigating the effects of distraction on driving performance and safety. Driver distraction is a growing threat to road safety worldwide, contributing to approximately one-quarter of all crashes. Distraction is a complex, multifaceted phenomenon and, ....Understanding the role of self-regulation in moderating distracted driving. The goal of this project is to combine naturalistic driving and simulation methods to explore the role that driver-initiated adaptive behaviour (self-regulation) can play in mitigating the effects of distraction on driving performance and safety. Driver distraction is a growing threat to road safety worldwide, contributing to approximately one-quarter of all crashes. Distraction is a complex, multifaceted phenomenon and, despite its impact on safety, our understanding of it is far from complete. The project aims to develop and assess a set of new countermeasures designed to enhance drivers’ self-regulatory behaviour when distracted. The outcomes of the project may reduce the impact of distraction on road trauma in Australia.Read moreRead less
Child safety in cars: an international collaboration. Car crashes are the leading cause of child death in Australia. While child restraints offer good protection, their benefits are significantly diminished if used incorrectly. This project will examine children’s out-of-position during car trips and injury implications and will reduce injury through improved engineering and education solutions.
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