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
A theory-based approach to the design and evaluation of anti-speeding messages to target high risk road users' attitudes and behaviours. The proposed research offers three significant benefits. First, this research will develop an improved approach to aid the design and testing of road safety anti-speeding messages. Second, the research will identify the most effective advertising messages for different groups of drivers at risk of being involved in road-related trauma such as young males. Third ....A theory-based approach to the design and evaluation of anti-speeding messages to target high risk road users' attitudes and behaviours. The proposed research offers three significant benefits. First, this research will develop an improved approach to aid the design and testing of road safety anti-speeding messages. Second, the research will identify the most effective advertising messages for different groups of drivers at risk of being involved in road-related trauma such as young males. Third, through improving the persuasiveness of anti-speeding advertising messages, the research may contribute to a reduction in the extent to which drivers engage in speeding which, in turn, may lessen speeding-related road trauma which would have significant benefits not only for road safety but for public health more broadly. Read moreRead less
Vision Impairment and Fitness to Drive. Vision is fundamental to driving. Intuitively vision impairments will significantly affect fitness to drive. However the relationship between vision and crash risk is not well understood and current tests are unreliable. This study will describe the way in which specific vision conditions affect driving performance. The study will examine the effects of visual field loss on drivers' ability to monitor information, allocate attention and minimise the effect ....Vision Impairment and Fitness to Drive. Vision is fundamental to driving. Intuitively vision impairments will significantly affect fitness to drive. However the relationship between vision and crash risk is not well understood and current tests are unreliable. This study will describe the way in which specific vision conditions affect driving performance. The study will examine the effects of visual field loss on drivers' ability to monitor information, allocate attention and minimise the effect of distractions. Outcomes of the study will enable the development of evidence-based guidelines for assessment of vision for driving and effective countermeasures to enhance mobility and reduce crash risk.Read moreRead less
Managing increasing challenges in motorcycle safety: strengthening research evidence for effective policy and countermeasure development. Through in-depth crash investigations and motorcyclist interviews, this project will determine risk factors for serious motorcycle crashes in an environment of increased riding, more older riders, and changing traffic conditions. Outcomes will be evidence-based strategies to improve road system management and road safety.
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
Application of contemporary systems-based methods to reduce trauma at rail level crossings. Crashes at railway level crossings continue to cause significant trauma across Australia. Despite being a longstanding safety problem, the design and operation of level crossings has not changed considerably for decades. This research will provide an in-depth understanding of road user, environmental and infrastructure-related factors that influence safety and performance at rail level crossings. This wil ....Application of contemporary systems-based methods to reduce trauma at rail level crossings. Crashes at railway level crossings continue to cause significant trauma across Australia. Despite being a longstanding safety problem, the design and operation of level crossings has not changed considerably for decades. This research will provide an in-depth understanding of road user, environmental and infrastructure-related factors that influence safety and performance at rail level crossings. This will be used to develop a world-first model of the level crossing system that is needed to support the development of innovative countermeasures that will improve safety. Reductions in the levels of significant trauma at level crossings, and new public policy for level crossing upgrades, are the intended real-world outcomes.Read moreRead less
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.
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.
Managing the risks posed by Artificial General Intelligence. It is widely acknowledged that a failure to implement appropriate controls for the next generation of Artificial Intelligence, Artificial General Intelligence (AGI), could have catastrophic consequences, including in the worst case - the extinction of the human race. This research aims to forecast the risks associated with AGI systems and identify the controls required to ensure that risks and existential threats are minimised. The exp ....Managing the risks posed by Artificial General Intelligence. It is widely acknowledged that a failure to implement appropriate controls for the next generation of Artificial Intelligence, Artificial General Intelligence (AGI), could have catastrophic consequences, including in the worst case - the extinction of the human race. This research aims to forecast the risks associated with AGI systems and identify the controls required to ensure that risks and existential threats are minimised. The expected outputs will provide designers, organisations, regulators and governments with a framework to support the design, implementation, and management of safe and efficient AGI systems. This will ensure that the potential far-reaching benefits of AGI are realised without undue threat to society.Read moreRead less