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 Our unpublished pilot data show that higher vibrational frequencies can restore alertness.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 Our unpublished pilot data show that higher vibrational frequencies can restore alertness.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