Linkage Infrastructure, Equipment And Facilities - Grant ID: LE240100118
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
The National Cycling Data and Analysis Platform (NCDAP) . A National Cycling Data and Analytics Platform to collect, integrate and communicate new and historic data on cycling infrastructure, attitudes, and behaviours. This project will address the significant issue of data fragmentation, pilot a national cycling survey, and develop a cycling toolkit to allow exploring and testing various cycling infrastructure scenarios. The platform will provide an open access e-Infrastructure to enable tracki ....The National Cycling Data and Analysis Platform (NCDAP) . A National Cycling Data and Analytics Platform to collect, integrate and communicate new and historic data on cycling infrastructure, attitudes, and behaviours. This project will address the significant issue of data fragmentation, pilot a national cycling survey, and develop a cycling toolkit to allow exploring and testing various cycling infrastructure scenarios. The platform will provide an open access e-Infrastructure to enable tracking social and cultural changes that influence transport choices, create effective behaviour change programs and prioritise cycling infrastructure investment. This project will contribute to healthier lifestyles, reduced traffic congestion and emissions and energy efficiency of Australia’s transport sector.Read moreRead less
Emerging transport technologies: finding new practices in urban governance. This project will explore the rapidly changing political economy of Australia’s urban transport systems as private companies deploy new technologies. Many new and existing policy instruments are available to governments to manage this difficult technological transition. In-depth case studies of emerging policy responses in Perth, Melbourne and Sydney will be set in the context of fast-moving international developments. T ....Emerging transport technologies: finding new practices in urban governance. This project will explore the rapidly changing political economy of Australia’s urban transport systems as private companies deploy new technologies. Many new and existing policy instruments are available to governments to manage this difficult technological transition. In-depth case studies of emerging policy responses in Perth, Melbourne and Sydney will be set in the context of fast-moving international developments. This work will deliver new insights into the design and use of better instruments for policy, planning and governance to meet the needs of businesses and the public and to ensure that the potential benefits of the new technologies are fully realised in Australian cities. Read moreRead less
Using visual science to reduce the dangers of night driving. This project aims to develop novel tests of visual function relevant to the modern night driving environment. Night driving is challenging for all drivers and has been linked to poor visibility under low light conditions. This project will characterise the visual challenges of the modern night driving environment, develop visual tests that incorporate the dynamic light levels typical of night-time roads and assess the association of th ....Using visual science to reduce the dangers of night driving. This project aims to develop novel tests of visual function relevant to the modern night driving environment. Night driving is challenging for all drivers and has been linked to poor visibility under low light conditions. This project will characterise the visual challenges of the modern night driving environment, develop visual tests that incorporate the dynamic light levels typical of night-time roads and assess the association of these tests with night driving performance. The outcomes will contribute new knowledge regarding dynamic visual processing and the ageing visual system and will inform vision testing, potential interventions to improve visual function for night driving and reduce the dangers of night driving.Read moreRead less
Life in the Shipping Lane; The Cost of Increasing Disturbance to Whales. This project aims to quantify the increasing risk of ship strike to humpback whales in Moreton Bay, and predict the impact of chronic disturbance to nursing calves. The research builds on pilot findings identifying Moreton Bay as a resting area for migrating humpback whales. Using empirical and modelling approaches, this research responds directly to the Federal Government strategy for mitigating ship strike, which explicit ....Life in the Shipping Lane; The Cost of Increasing Disturbance to Whales. This project aims to quantify the increasing risk of ship strike to humpback whales in Moreton Bay, and predict the impact of chronic disturbance to nursing calves. The research builds on pilot findings identifying Moreton Bay as a resting area for migrating humpback whales. Using empirical and modelling approaches, this research responds directly to the Federal Government strategy for mitigating ship strike, which explicitly flags Moreton Bay as an 'area of concern'. The project has been developed in collaboration with traditional owners and industry, and is expected deliver optimal mitigation measures for the region. Findings further carry implications for similar functional habitats along Australia's humpback whale migratory corridors.Read moreRead less
Defense against adversarial attacks on deep learning in computer vision. Computer vision applications rely heavily on deep learning, which is highly vulnerable to being fooled by adding subtle perturbations to object/image textures that are imperceptible to humans. This project aims to develop defense mechanisms to detect and remove adversarial patterns from the input images. The project expects to advance knowledge in understanding the vulnerabilities of deep learning, and to design deep learni ....Defense against adversarial attacks on deep learning in computer vision. Computer vision applications rely heavily on deep learning, which is highly vulnerable to being fooled by adding subtle perturbations to object/image textures that are imperceptible to humans. This project aims to develop defense mechanisms to detect and remove adversarial patterns from the input images. The project expects to advance knowledge in understanding the vulnerabilities of deep learning, and to design deep learning architectures that are inherently robust. The outcomes of this project will increase the security and reliability of computer vision by detecting, reporting and nullifying such attacks and will benefit the general public and industry on many fronts.Read moreRead less
Containment and Reduction of Rework in Transport Mega Projects. Mega transport projects (>$1 billion) are poorly managed during their construction with significant cost and schedule overruns and benefit shortfalls regularly being experienced. Having to perform rework has been identified as a major factor that contributes to these unintended consequences. As there has been limited research that has empirically examined rework causation, an inability to develop effective rework containment and red ....Containment and Reduction of Rework in Transport Mega Projects. Mega transport projects (>$1 billion) are poorly managed during their construction with significant cost and schedule overruns and benefit shortfalls regularly being experienced. Having to perform rework has been identified as a major factor that contributes to these unintended consequences. As there has been limited research that has empirically examined rework causation, an inability to develop effective rework containment and reduction strategies prevails. This research aims to develop a theoretical model that can be used to develop robust containment and reduction strategies to mitigate the adverse economic, productivity and safety consequences that materialize from performing rework during the construction of mega transport projects.Read moreRead less
Robust and Explainable 3D Computer Vision. Computer vision is increasingly relying on deep learning which is fragile, opaque and fails catastrophically without warning. This project aims to address these problems by developing new theory in graph representation of 3D geometric and image data, hierarchical graph simplification and novel modules designed specifically for deep learning over geometric graphs. Using these modules, it aims to design graph convolutional network architectures for self-s ....Robust and Explainable 3D Computer Vision. Computer vision is increasingly relying on deep learning which is fragile, opaque and fails catastrophically without warning. This project aims to address these problems by developing new theory in graph representation of 3D geometric and image data, hierarchical graph simplification and novel modules designed specifically for deep learning over geometric graphs. Using these modules, it aims to design graph convolutional network architectures for self-supervised learning that are robust to failures and provide explainable decisions for object detection and scene segmentation. The outcomes are expected to advance theory in robust deep learning and benefit 3D mapping, surveying, infrastructure monitoring, transport and robotics industries.Read moreRead less
Fluid-Structure Interactions in Flows through Flexible-Walled Channels. This project seeks to deliver a definitive understanding of the behaviour of steady and pulsating fluid flow through compliant-walled channels and pipes. Novel theoretical stability-analyses and experimental investigations, complemented by targeted numerical simulations, will be developed and used to identify and categorise fluid- and wall-based wave-disturbances and their interactions. This can underpin the development of t ....Fluid-Structure Interactions in Flows through Flexible-Walled Channels. This project seeks to deliver a definitive understanding of the behaviour of steady and pulsating fluid flow through compliant-walled channels and pipes. Novel theoretical stability-analyses and experimental investigations, complemented by targeted numerical simulations, will be developed and used to identify and categorise fluid- and wall-based wave-disturbances and their interactions. This can underpin the development of technologies that control these flows to advantage in both engineered fluid-flow and biologically occurring systems. Robust design guidelines will emerge to safeguard and enhance the use of compliant liners and flexible panels for drag and noise reductions, or to protect surfaces exposed to fluid flows. Read moreRead less
Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-po ....Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-powered logistics vehicles are a major contributor. However, converting these trucks to LNG requires strong evidence to convince logistics companies of the benefits of shifting to green logistics. An increase in logistics productivity is expected to increase Australia’s gross domestic product by $2 billion, while this research should also provide vital data on sustainability issues and LNG conversions.Read moreRead less
Community Self-determination in the Era of Automated Home Delivery Systems. Urban environments in Australia and internationally are on the cusp of major disruption resulting from impending proliferation of home delivery services using autonomous vehicles in the form of trucks, shuttles, bots, and drones. As witnessed in the case of ride-share services, socio-technical changes can permeate society before effective regulation is introduced unless swift anticipatory action is taken. The aim of this ....Community Self-determination in the Era of Automated Home Delivery Systems. Urban environments in Australia and internationally are on the cusp of major disruption resulting from impending proliferation of home delivery services using autonomous vehicles in the form of trucks, shuttles, bots, and drones. As witnessed in the case of ride-share services, socio-technical changes can permeate society before effective regulation is introduced unless swift anticipatory action is taken. The aim of this project is to deliver the critical information inputs required to empower and protect communities in a future characterised by the widespread use of automated product deliveries. Outputs will include modelled scenarios and negotiated policy recommendations that reflect meaningful community consultation.Read moreRead less