Onset Theory: Pushing the design envelope for textile composite structures. This study aims to exploit an innovative physics-based approach to predict the strength of textile composites. This is particularly important in areas such as aircraft design, where drastic weight savings are needed to allow designers to remain competitive in a low-carbon future. Improved theory and design tools will remove conservatism and account for a large part of these weight savings. The new approach is the first t ....Onset Theory: Pushing the design envelope for textile composite structures. This study aims to exploit an innovative physics-based approach to predict the strength of textile composites. This is particularly important in areas such as aircraft design, where drastic weight savings are needed to allow designers to remain competitive in a low-carbon future. Improved theory and design tools will remove conservatism and account for a large part of these weight savings. The new approach is the first to be consistent at all length scales — from atoms to aeroplanes — ensuring relevance for new and evolving composite material systems. A novel understanding of crack initiation in textile laminates is intended to reduce design and certification effort for new aircraft and help to design more efficient airframes at a lower cost.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101864
Funder
Australian Research Council
Funding Amount
$442,500.00
Summary
Unlocking Urban Airspace for Drone Transport. This project aims to accurately quantify the mid-air collision risk associated with low-altitude unmanned operations in urban airspace through the creation of new data-driven collision risk modelling techniques. Without such techniques, drone operations remain suppressed so their true potential cannot be realised. The collision risk models address this by providing the key missing knowledge that can underpin/enable vital unmanned traffic management ....Unlocking Urban Airspace for Drone Transport. This project aims to accurately quantify the mid-air collision risk associated with low-altitude unmanned operations in urban airspace through the creation of new data-driven collision risk modelling techniques. Without such techniques, drone operations remain suppressed so their true potential cannot be realised. The collision risk models address this by providing the key missing knowledge that can underpin/enable vital unmanned traffic management applications, including airspace design and the development of separation standards. This can ultimately enable greater access to urban airspace without compromising air safety such that we unlock the commercial and societal benefits of drone use and help modernise urban air transportation.
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DEVELOPING SCIENTIFIC BASIS FOR THE RAPID DETECTION SYSTEM OF DIESEL VEHICLES WITH HIGH LEVEL OF EXHAUST EMISSIONS. Diesel vehicle exhaust is a significant source of air pollution leading to major human health problems. However, only a small fraction of vehicles with high exhaust emissions cause the majority of this pollution. Initially, this research will develop a model of dispersion of pollutants into the environment immediately after emission. This model will be the scientific foundation for ....DEVELOPING SCIENTIFIC BASIS FOR THE RAPID DETECTION SYSTEM OF DIESEL VEHICLES WITH HIGH LEVEL OF EXHAUST EMISSIONS. Diesel vehicle exhaust is a significant source of air pollution leading to major human health problems. However, only a small fraction of vehicles with high exhaust emissions cause the majority of this pollution. Initially, this research will develop a model of dispersion of pollutants into the environment immediately after emission. This model will be the scientific foundation for the development of an efficient and economical rapid detection system for those vehicles with high exhaust emissions. The major outcome is to improve air quality and lower the occurrence/severity of airborne pollution induced health effects.Read moreRead less
AN INTEGRATED MODEL OF BUS EMISSION IMPACTS AT AND AROUND BUS STATIONS AND BUSWAYS FOR TRANSPORT AND LAND USE PLANNING. Buses are one of the two most common forms of public transport in Australia, with bus fleet and service coverage increasing, yet the effect on human health and the environment of the emissions from these vehicles is unknown. This research will develop a comprehensive model of bus emission impacts in and around bus stations and along bus corridors for use in exposure and risk as ....AN INTEGRATED MODEL OF BUS EMISSION IMPACTS AT AND AROUND BUS STATIONS AND BUSWAYS FOR TRANSPORT AND LAND USE PLANNING. Buses are one of the two most common forms of public transport in Australia, with bus fleet and service coverage increasing, yet the effect on human health and the environment of the emissions from these vehicles is unknown. This research will develop a comprehensive model of bus emission impacts in and around bus stations and along bus corridors for use in exposure and risk assessment, integrated transport and land use planning and policy setting. This research will provide a scientific foundation for developing future directions for the management of public transport to minimize the impact of emissions on the public and the environment.Read moreRead less
Understanding impact of autonomous vehicles on behaviour and interactions. Understanding impact of autonomous vehicles on behaviour and interactions. This project aims to explore three human factor issues critical to the successful deployment of automated vehicles: factors influencing driver choice of automated vehicle control; interactions between automated and manually controlled vehicles; and driver detection, recognition, and reaction to automated vehicle system failures. Automated vehicles ....Understanding impact of autonomous vehicles on behaviour and interactions. Understanding impact of autonomous vehicles on behaviour and interactions. This project aims to explore three human factor issues critical to the successful deployment of automated vehicles: factors influencing driver choice of automated vehicle control; interactions between automated and manually controlled vehicles; and driver detection, recognition, and reaction to automated vehicle system failures. Automated vehicles are predicted to be transformative, but their ultimate success and expected societal benefits will depend on drivers’ trust in them and on how people choose to use and interact with them. Insights from this research should prepare our society for more automated vehicles on the roadways.Read moreRead less
Unifying Traffic Modelling and Safety Management for Safer and Faster Roads. This project aims to balance road safety and efficiency as conflicting goals of transport systems mixed with connected and automated vehicles (CAVs). This project is expected to generate fundamental knowledge on operational algorithms and analytics for CAVs and develop innovative tools for operating them. Expected outcomes include ground-breaking models capable of the co-estimation of efficiency and safety impacts of CA ....Unifying Traffic Modelling and Safety Management for Safer and Faster Roads. This project aims to balance road safety and efficiency as conflicting goals of transport systems mixed with connected and automated vehicles (CAVs). This project is expected to generate fundamental knowledge on operational algorithms and analytics for CAVs and develop innovative tools for operating them. Expected outcomes include ground-breaking models capable of the co-estimation of efficiency and safety impacts of CAVs, and control strategies to safely and efficiently integrate CAVs into existing transport systems. This should provide significant safety and efficiency benefits that currently cost about 1160 lives and 1.25 billion hours of congestion per year, and make Australia better prepared for the connected and automated vehicle era.Read moreRead less
Predictive Analytics and Real-time Traffic Control for Urban Corridors. This project aims to develop predictive data analytics and real-time traffic control and safety models for multimodal management of urban corridors, serving two salient objectives: (1) optimising person-throughput of multimodal traffic; while (2) minimising safety risks for all modes. The outcome will be an automated, sensor-based platform to monitor traffic flows from all modes and make proactive and coordinated control dec ....Predictive Analytics and Real-time Traffic Control for Urban Corridors. This project aims to develop predictive data analytics and real-time traffic control and safety models for multimodal management of urban corridors, serving two salient objectives: (1) optimising person-throughput of multimodal traffic; while (2) minimising safety risks for all modes. The outcome will be an automated, sensor-based platform to monitor traffic flows from all modes and make proactive and coordinated control decisions in real-time. The expected benefits are profound; the developed algorithms and platform will significantly reduce traffic congestion, travel delays and safety risks for all modes of transport, especially for vulnerable road users (e.g. pedestrians and cyclists).Read moreRead less
Assessing the determinants and consequences of safety climate in the maritime industry. This project will examine the predictors and outcomes of safety climate in the Australian maritime industry. Findings from this project will be used to improve safety policies, regulations and practices that aim to minimise the number of accidents and incidents in Australian waters.
The Safer Scooting Study. E-scooters are a new transport option experiencing rapid uptake, but many people are concerned about their safety. This project aims to provide an understanding of how and why people use e-scooters and how rider behaviour and safety outcomes change with experience. The anticipated goal of this project is to harness the potential benefits of e-scooters as an efficient replacement for short car trips and a way of improving access to public transport, while minimising the ....The Safer Scooting Study. E-scooters are a new transport option experiencing rapid uptake, but many people are concerned about their safety. This project aims to provide an understanding of how and why people use e-scooters and how rider behaviour and safety outcomes change with experience. The anticipated goal of this project is to harness the potential benefits of e-scooters as an efficient replacement for short car trips and a way of improving access to public transport, while minimising the dangers to riders and pedestrians. This knowledge is expected to inform governments at all levels, industry and riders on how to optimise e-scooter design, use and regulation to contribute to improvements in transport, health and environmental outcomes for all Australians.Read moreRead less
Maintenance Optimisation in Rail Infrastructure Systems for Coal and
Iron Ore Exports. Coal and iron ore exports, worth around 55 per cent of Australia's export earnings, critically depend on the transport capacity provided by Australia's rail infrastructure. Maintenance plays a crucial role in ensuring that infrastructure components are in a condition to provide safe, reliable, and efficient transport. However maintenance activities also reduce the system capacity, and are costly. It is thus c ....Maintenance Optimisation in Rail Infrastructure Systems for Coal and
Iron Ore Exports. Coal and iron ore exports, worth around 55 per cent of Australia's export earnings, critically depend on the transport capacity provided by Australia's rail infrastructure. Maintenance plays a crucial role in ensuring that infrastructure components are in a condition to provide safe, reliable, and efficient transport. However maintenance activities also reduce the system capacity, and are costly. It is thus critical to sustaining the growth and competitiveness of Australia's coal and iron ore exports that maintenance is optimised so as to maximise system efficiency and delivered capacity. The project aims to achieve this by the development of new decision support technologies embedding innovative decision-making models and algorithms.Read moreRead less