The future of shipping: achieving autonomous navigation. This project aims to develop autonomous decision systems and onshore control stations to support the design and operation of unmanned cargo ships. Blending observations, numerical models, virtual reality and machine learning, the project will develop algorithms for unsupervised navigation and embed these in an advanced ship simulator platform capable of responding to environmental conditions and optimising sea freight transport capabilitie ....The future of shipping: achieving autonomous navigation. This project aims to develop autonomous decision systems and onshore control stations to support the design and operation of unmanned cargo ships. Blending observations, numerical models, virtual reality and machine learning, the project will develop algorithms for unsupervised navigation and embed these in an advanced ship simulator platform capable of responding to environmental conditions and optimising sea freight transport capabilities. The expected outcomes will enable the integration of automated controls in ships, including remote-control capabilities. This will support Australia’s transition towards an autonomous shipping industry, delivering greater reliability, efficiency, productivity and safety.Read moreRead less
A Scenario Planning Tool - Improving the Bikeability of Our Cities. This project aims to produce a data framework and interactive planning support tool, in collaboration with Australian government agencies, to explore various bicycle infrastructure scenarios and assess their potential impacts. This will be a game changer for the transport sector, as the lack of data-driven approaches focused on active mobility has restricted the development of evidence-based business cases for cycling infrastruc ....A Scenario Planning Tool - Improving the Bikeability of Our Cities. This project aims to produce a data framework and interactive planning support tool, in collaboration with Australian government agencies, to explore various bicycle infrastructure scenarios and assess their potential impacts. This will be a game changer for the transport sector, as the lack of data-driven approaches focused on active mobility has restricted the development of evidence-based business cases for cycling infrastructure investment, when compared to motorised transport. Benefits from this project to the nation include more informed and optimised investment in cycling, increase in cycling modal share, reduction of emissions and congestion, and improvement of safety and health outcomes from cycling.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
Walk-quality: A multi-criteria design platform to facilitate active travel. This seminal cross-disciplinary study aims to combine key ‘walk-quality’ urban design factors: pedestrian accessibility, slope, thermal comfort, pedestrian risk, and pollution, into a design decision platform to enable systematic evaluation of precincts and test ‘what-if’ future scenarios.
With 60% of Australians not meeting recommended physical activity targets costing taxpayers billions of dollars annually, the projec ....Walk-quality: A multi-criteria design platform to facilitate active travel. This seminal cross-disciplinary study aims to combine key ‘walk-quality’ urban design factors: pedestrian accessibility, slope, thermal comfort, pedestrian risk, and pollution, into a design decision platform to enable systematic evaluation of precincts and test ‘what-if’ future scenarios.
With 60% of Australians not meeting recommended physical activity targets costing taxpayers billions of dollars annually, the project envisions development of acutely lacking spatio-temporal analysis and design tools to help prioritise urgently needed active transport infrastructure investment.
Anticipated ‘walk-quality’ improvements to facilitating active journeys have vital foreseeable community benefits through increased incidental physical activity.Read moreRead less
Core loss mechanisms in soft magnetic nanostructures. This project aims to clarify the mechanism of power losses in magnetic cores used in the petrol-electric hybrid cars by investigating the relationship between the core losses and magnetic correlation lengths in iron alloys. This project expects to generate new knowledge on the effect of magneto-mechanical interaction on the anomalous core loss in iron based alloys. The intended outcomes include an experimental confirmation of the random aniso ....Core loss mechanisms in soft magnetic nanostructures. This project aims to clarify the mechanism of power losses in magnetic cores used in the petrol-electric hybrid cars by investigating the relationship between the core losses and magnetic correlation lengths in iron alloys. This project expects to generate new knowledge on the effect of magneto-mechanical interaction on the anomalous core loss in iron based alloys. The intended outcomes include an experimental confirmation of the random anisotropy model, a major theoretical model in nanostructured materials and identification of ideal magnetic domain configurations for lower power losses. These intended outcomes should bring great benefits to the development of low-carbon vehicle technologies for sustainable motorisation in Australia.Read moreRead less
Robust and Scalable Autonomous Landing for Drones. The aim of this project is to develop a transformative robust and scalable autonomous landing system for drones. This is the critical missing technology needed to unleash exponential growth in a potentially enormous drone delivery industry by enabling a multitude of applications to deliver goods and supplies via drones to a wide range of destinations in Australia and the world in a timely, flexible and accurate manner. Such an autonomous landi ....Robust and Scalable Autonomous Landing for Drones. The aim of this project is to develop a transformative robust and scalable autonomous landing system for drones. This is the critical missing technology needed to unleash exponential growth in a potentially enormous drone delivery industry by enabling a multitude of applications to deliver goods and supplies via drones to a wide range of destinations in Australia and the world in a timely, flexible and accurate manner. Such an autonomous landing solution would revolutionise drone technology, and propel Australia to the forefront of technology innovation. This project would benefit not only large scale delivery by drone in urban and suburban areas of Australia but also long distance delivery via drone to remote areas of Australia.Read moreRead less
Damage Tolerance Approach in Designing and Maintaining Truck Trailers. This project aims to develop a damage tolerance approach in designing and maintaining truck trailers. Combined with field test and computational simulation, machine learning will be used to generate loading spectrums. Following the damage tolerance philosophy, a mature approach in aerospace industry, the fatigue crack growth and the fatigue life will be predicted. In addition, structural optimisation will be applied in traile ....Damage Tolerance Approach in Designing and Maintaining Truck Trailers. This project aims to develop a damage tolerance approach in designing and maintaining truck trailers. Combined with field test and computational simulation, machine learning will be used to generate loading spectrums. Following the damage tolerance philosophy, a mature approach in aerospace industry, the fatigue crack growth and the fatigue life will be predicted. In addition, structural optimisation will be applied in trailer design. This project expects to revolutionize the design and maintenance practices in Australian truck trailer industry. It should provide significant benefits, such as prolonging the life cycle of truck trailers, reducing the tare weight and increasing operating profit, to both trailer producers and users.Read moreRead less
Electron Transpiration Cooling of Hypersonic Vehicles. Future aircraft for flight at hypersonic speeds require sharp leading edges for the best aerodynamic performance. Sharp leading edges incur high heat loads and cannot be adequately cooled with current technologies. The project aim is to investigate novel surface materials that emit electrons when heated. This emission of electrons from the surface can significantly contribute to the cooling of the sharp leading edges. This project is expecte ....Electron Transpiration Cooling of Hypersonic Vehicles. Future aircraft for flight at hypersonic speeds require sharp leading edges for the best aerodynamic performance. Sharp leading edges incur high heat loads and cannot be adequately cooled with current technologies. The project aim is to investigate novel surface materials that emit electrons when heated. This emission of electrons from the surface can significantly contribute to the cooling of the sharp leading edges. This project is expected to deliver new experimental data on novel surface materials exposed to a hypersonic flow environment and computer models that can simulate their cooling effect. This investigation will contribute towards enabling technologies for sustained hypersonic flight by overcoming critical head load limitations.Read moreRead less
The effect of non-homogeneous roughness on full-scale drag predictions. Partnering with AkzoNobel, one of the world’s leading suppliers of anti-fouling marine coatings, this project will deliver new tools for predicting the drag penalty on ships fouled by the settlement of marine organisms on the hull. All available predictions assume a homogeneous distribution of roughness. Yet we know biofouling is always patchy, hence prediction methods need an upgrade. Making a compelling business case to sh ....The effect of non-homogeneous roughness on full-scale drag predictions. Partnering with AkzoNobel, one of the world’s leading suppliers of anti-fouling marine coatings, this project will deliver new tools for predicting the drag penalty on ships fouled by the settlement of marine organisms on the hull. All available predictions assume a homogeneous distribution of roughness. Yet we know biofouling is always patchy, hence prediction methods need an upgrade. Making a compelling business case to ship operators is contingent on such predictions, where the cost of anti-fouling solutions is weighed against that of continued operation with a rough hull. The novel tools developed here will therefore lead to increased ship efficiency by empowering ship operators to optimise hull cleaning and repainting schedules.
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A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driv ....A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driving models. The project will lead to two innovations: in theory design an attack detection and prevention ecosystem for autonomous driving and in application implement a safety analysis toolset for industry-scale autonomous systems.Read moreRead less