Next-gen accident prevention: a new theory and toolkit for safer systems. This project aims to address limitations associated with existing accident causation theory and methodologies. Accident prevention across high risk industries is constrained by limitations in accident theory and methodologies. As a result, reductions in injuries and fatalities in most domains are plateauing. The expected outputs of the project include a new theory of accident causation, a new proactive risk assessment meth ....Next-gen accident prevention: a new theory and toolkit for safer systems. This project aims to address limitations associated with existing accident causation theory and methodologies. Accident prevention across high risk industries is constrained by limitations in accident theory and methodologies. As a result, reductions in injuries and fatalities in most domains are plateauing. The expected outputs of the project include a new theory of accident causation, a new proactive risk assessment methodology and a new methodology for analysing accidents. This will provide organisations and researchers with a powerful framework for enhanced accident analysis and prevention activities. This will provide significant benefits, associated with reductions in accidents, injuries and fatalities.Read moreRead less
Predicting misdiagnoses in the transition from competence to expertise. This project aims to test whether the utilisation of cues predicts vulnerability to misdiagnosis during skill acquisition. This project uses newly developed measures of cue utilisation, together with innovative, on-line scenarios and a longitudinal design, to measure different types of misdiagnosis amongst qualified radiologists, pathologists and pilots as they acquire expertise. With potential applications in medicine, avia ....Predicting misdiagnoses in the transition from competence to expertise. This project aims to test whether the utilisation of cues predicts vulnerability to misdiagnosis during skill acquisition. This project uses newly developed measures of cue utilisation, together with innovative, on-line scenarios and a longitudinal design, to measure different types of misdiagnosis amongst qualified radiologists, pathologists and pilots as they acquire expertise. With potential applications in medicine, aviation, energy, transportation, and defence, the expected outcomes will facilitate interventions such as targeted training and the provision of technical support, that will guide the diagnostic process and thereby reduce the impact of misdiagnoses on individuals and infrastructure.Read moreRead less
Proactive detection of motor vehicle crash black spots based on their underlying behavioural, engineering, and spatially related causes. Road traffic crashes are responsible for about 1400 fatalities and 32,500 injuries on Australian roadways each year. A significant research opportunity exists to fundamentally rethink how the profession quantitatively identifies black spots on the transport network. The first project aim is to develop, test, and validate an evidence based methodology to proacti ....Proactive detection of motor vehicle crash black spots based on their underlying behavioural, engineering, and spatially related causes. Road traffic crashes are responsible for about 1400 fatalities and 32,500 injuries on Australian roadways each year. A significant research opportunity exists to fundamentally rethink how the profession quantitatively identifies black spots on the transport network. The first project aim is to develop, test, and validate an evidence based methodology to proactively detect motor vehicle crash black spots. The second aim is decompose (statistically) observed crashes at a site into their engineering, behavioural, and unobserved spatial components. The new methods combined will lead to fundamentally novel insights and knowledge regarding transport network safety management, in turn leading to reductions in the Australian road toll.Read moreRead less
Intention-aware cooperative driving behaviour model for Automated Vehicles. This project aims to investigate humans' cooperation with automated systems by conceptualising joint intention awareness. This project expects to generate knowledge about a new cooperative driving behaviour model for automated vehicles, utilising a transdisciplinary approach that mixes human-centric methods with deep learning techniques. Intended outcomes are new joint intention awareness theory, new interface for automa ....Intention-aware cooperative driving behaviour model for Automated Vehicles. This project aims to investigate humans' cooperation with automated systems by conceptualising joint intention awareness. This project expects to generate knowledge about a new cooperative driving behaviour model for automated vehicles, utilising a transdisciplinary approach that mixes human-centric methods with deep learning techniques. Intended outcomes are new joint intention awareness theory, new interface for automated vehicles, new methodology for cooperative behaviour research, and enhanced research capacity. The expected significant benefits are for automated systems to become more predictable, acceptable, readable and safer to use by everyday people.Read moreRead less
Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural tra ....Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural transport. Expected primary outputs include algorithms, a detailed analysis of required systems and recommendations that will help prepare Australia for the importation of self-driving vehicles.Read moreRead less
CoopEcoSafe: a new cooperative, green and safe driving system. Road transport plays a vital role in our economy but generates huge costs in road trauma and greenhouse gases. Eco-driving has been trialed as a cost-effective approach to reducing fuel consumption, but little research has examined its effects on safety. This research brings together disciplines of road safety, psychology and engineering to address the fundamental question: how can mobility be greener while being safer? It develops: ....CoopEcoSafe: a new cooperative, green and safe driving system. Road transport plays a vital role in our economy but generates huge costs in road trauma and greenhouse gases. Eco-driving has been trialed as a cost-effective approach to reducing fuel consumption, but little research has examined its effects on safety. This research brings together disciplines of road safety, psychology and engineering to address the fundamental question: how can mobility be greener while being safer? It develops: a new theoretical model that optimises environmental and safety outcomes; new persuasive in-vehicle Human Machine Interface supported by cooperative Intelligent Transport System; and, comprehensive benefits evaluation. This research will bring major improvements to both road safety and energy use. Read moreRead less
Triggering the dormant capacity of fish to make omega 3 fatty acids. Marine fisheries cannot expand further, leaving aquaculture (fish farming) with the challenge of meeting the growing demand for fish, whose consumption is known to enhance human health. Fish oil is an essential component of the feed used in aquaculture, but there is a decreasing global supply of this commodity. This innovative nutritional biochemistry project boosts the capacity of fish to produce their own fish oil from vegeta ....Triggering the dormant capacity of fish to make omega 3 fatty acids. Marine fisheries cannot expand further, leaving aquaculture (fish farming) with the challenge of meeting the growing demand for fish, whose consumption is known to enhance human health. Fish oil is an essential component of the feed used in aquaculture, but there is a decreasing global supply of this commodity. This innovative nutritional biochemistry project boosts the capacity of fish to produce their own fish oil from vegetable oils in their diet. Therefore, this project will enable the expansion of aquaculture as an economically and environmentally sustainable means to produce the highest quality, nourishing fish for human consumption.Read moreRead less
Improving performance in high risk environments using guided distraction and iconic cues. This project tests a novel strategy to assist operators in high-risk automated environments, in order to maintain their performance in low workload situations. Using guided distraction, this project will be able to show improvements in attention to critical tasks and in overall system performance, thereby reducing the potential for error.
Australian supply chain regulation: practical operation and regulatory effectiveness. This project uses empirical research to examine the practical operation and effectiveness of three innovative Australian regulatory models designed to improve working conditions in supply chains in the clothing, long-haul transport and cash-in-transit industries. The project will result in proposals for reform and improved working conditions.
Inferring driver behaviours, intent and risk in complex traffic scenarios. This project intends to develop methods to evaluate risk during driving. The next generation of vehicles will be fitted with sophisticated perception and egocentric information. This will be combined with inter-vehicle communication enabling cooperative safety, used in conjunction with intelligent infrastructure. This technology is expected to be mandated in the United States starting from 2017. This project plans to deve ....Inferring driver behaviours, intent and risk in complex traffic scenarios. This project intends to develop methods to evaluate risk during driving. The next generation of vehicles will be fitted with sophisticated perception and egocentric information. This will be combined with inter-vehicle communication enabling cooperative safety, used in conjunction with intelligent infrastructure. This technology is expected to be mandated in the United States starting from 2017. This project plans to develop unsupervised learning algorithms to infer high-level driver behaviours, intent and contextual information to automatically evaluate levels of risk under complex driving scenarios. It plans to validate the results using naturalistic driving datasets taken in large-scale deployments around the world. This innovation may improve automotive safety and facilitate the deployment of autonomous vehicles.Read moreRead less