An innovative theory driven approach to enhancing situation awareness among road users in Australia. This project will develop, via on-road studies exploring road user behaviour, a first of its kind systems theoretic model of situation awareness (SA) for road transport. The model will then be used to inform the development of roadway design solutions to enhance road user SA, which will be tested through advanced simulation.
A new complex systems approach to road trauma: Applying systems thinking to the fatal five. By 2030 road trauma is expected to be the fifth leading cause of global deaths. The current road user centric road safety approach has failed to control the global health epidemic of road trauma. Although systems thinking is widely accepted to be the most effective approach for understanding and enhancing safety in complex systems, it has not yet been adopted in road safety efforts. This project aims to a ....A new complex systems approach to road trauma: Applying systems thinking to the fatal five. By 2030 road trauma is expected to be the fifth leading cause of global deaths. The current road user centric road safety approach has failed to control the global health epidemic of road trauma. Although systems thinking is widely accepted to be the most effective approach for understanding and enhancing safety in complex systems, it has not yet been adopted in road safety efforts. This project aims to apply a novel, integrated framework of systems analysis and design methods to the so called 'fatal five' causes of road trauma to create new knowledge on their causes and to develop and test new interventions that will enable the achievement of currently unreachable road safety targets.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100175
Funder
Australian Research Council
Funding Amount
$475,000.00
Summary
A high-payload, high-fidelity haptically-enabled motion simulation facility. An Australian-first motion simulation facility consisting of a high-payload, high-fidelity Stewart platform mounted on a dual-axis linear track is proposed. The facility will allow high acceleration and high vibration manoeuvres, and large displacements through an eight-degrees-of-freedom range of motion. It can carry the entire control compartment of a heavy vehicle, a truck, an ambulance, a train, or a multi-operator ....A high-payload, high-fidelity haptically-enabled motion simulation facility. An Australian-first motion simulation facility consisting of a high-payload, high-fidelity Stewart platform mounted on a dual-axis linear track is proposed. The facility will allow high acceleration and high vibration manoeuvres, and large displacements through an eight-degrees-of-freedom range of motion. It can carry the entire control compartment of a heavy vehicle, a truck, an ambulance, a train, or a multi-operator cockpit of a mining vehicle for simulation. The outcome will provide significant benefits for virtual vehicle prototyping and testing, driver training and behaviour modelling, motion perception and motion sickness research; therefore advancing Australia as the global leader in motion simulation and vehicular technologies.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100825
Funder
Australian Research Council
Funding Amount
$336,128.00
Summary
Evaluating interventions to prevent serious road traffic crashes. This project aims to advance knowledge on the prevention of road traffic crashes that result in serious injury or death. Road traffic injuries are the second leading cause of hospitalised injury and injury-related deaths in Australia, and are estimated to cost the economy $27 billion annually. This project will establish a data collection system that will evaluate existing and novel countermeasures to serious road traffic crashes. ....Evaluating interventions to prevent serious road traffic crashes. This project aims to advance knowledge on the prevention of road traffic crashes that result in serious injury or death. Road traffic injuries are the second leading cause of hospitalised injury and injury-related deaths in Australia, and are estimated to cost the economy $27 billion annually. This project will establish a data collection system that will evaluate existing and novel countermeasures to serious road traffic crashes. The outcome of this project will inform road safety policies and cost-effective countermeasures. Insights from the project can contribute to road safety improvements in Australia and a substantial reduction in the burden of fatal and non-fatal road traffic injury.Read moreRead less
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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100079
Funder
Australian Research Council
Funding Amount
$320,000.00
Summary
A haptic-based immersive motion platform for human performance evaluation. A haptic-based immersive motion platform for human performance evaluation: This project aims to establish a motion platform capable of combining continuous centrifugal rotation and large linear displacement with an additional five degrees of motion. The system will house a human subject at the end of a large serial robot similar to a human arm, which can rotate continuously about its base. The robot arm will be installed ....A haptic-based immersive motion platform for human performance evaluation. A haptic-based immersive motion platform for human performance evaluation: This project aims to establish a motion platform capable of combining continuous centrifugal rotation and large linear displacement with an additional five degrees of motion. The system will house a human subject at the end of a large serial robot similar to a human arm, which can rotate continuously about its base. The robot arm will be installed on a large linear axis enabling the simulation of movements and accelerations along a straight path as well as rotation provided by other axes of the robot. The motion platform will comprise audio and visual devices, and haptic-based control mechanisms, for example a steering wheel and pedals or a helicopter cyclic, to provide a number of human immersed scenarios for driving/flying training and human perception evaluation.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.
Context-aware verification and validation framework for autonomous driving. This project aims to enhance the reliability and safety of emerging self-driving vehicles, through a framework that supports the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, using a multi-disciplinary research combining expertise from various fields. Expected outcomes of this project ....Context-aware verification and validation framework for autonomous driving. This project aims to enhance the reliability and safety of emerging self-driving vehicles, through a framework that supports the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, using a multi-disciplinary research combining expertise from various fields. Expected outcomes of this project are a family of new context-aware techniques to verify and validate complex behaviours in autonomous driving. This should provide significant benefits, such as safe autonomous driving systems and the improved journey experience and security for road users.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.