Response of Vertical Drains in Soft Subgrade under Cyclic Rail Loading. Soft formations (subgrade) can become unstable when subjected to heavy and repeated (cyclic) train loading. This project aims to investigate the cause and mechanisms of undrained instability of soft subgrade soil beneath rail embankments, and to assess the effectiveness of prefabricated vertical drains (PVDs) in stabilising such soils. The role of PVDs to enhance track performance will be quantified via rigorous mathematical ....Response of Vertical Drains in Soft Subgrade under Cyclic Rail Loading. Soft formations (subgrade) can become unstable when subjected to heavy and repeated (cyclic) train loading. This project aims to investigate the cause and mechanisms of undrained instability of soft subgrade soil beneath rail embankments, and to assess the effectiveness of prefabricated vertical drains (PVDs) in stabilising such soils. The role of PVDs to enhance track performance will be quantified via rigorous mathematical techniques complementing a computer-based numerical model, which can be validated by laboratory and field data. It will deliver tangible outcomes for accurately predicting the long-term settlements in soft foundations over prolonged train loading while extending the life span of modern railroad infrastructure.Read moreRead less
Next-generation ocean current forecasting to improve maritime safety . This project aims to measure upper ocean currents at scales of 10-100 km in Australia's marine estate using pioneering satellite radar technology. The Surface Water and Ocean Topography (SWOT) mission will map currents at 10 times the resolution of present-day satellites and revolutionise our understanding of ocean dynamics. Expected outcomes include validation of SWOT data in Australian waters and merging this data into Bure ....Next-generation ocean current forecasting to improve maritime safety . This project aims to measure upper ocean currents at scales of 10-100 km in Australia's marine estate using pioneering satellite radar technology. The Surface Water and Ocean Topography (SWOT) mission will map currents at 10 times the resolution of present-day satellites and revolutionise our understanding of ocean dynamics. Expected outcomes include validation of SWOT data in Australian waters and merging this data into Bureau of Meteorology ocean models. Downstream benefits include improved ocean forecasts for maritime safety, search-and-rescue, spill modelling, and marine conservation. At the same time, the project will build sovereign capability in emerging remote sensing technology with a legacy beyond the life of the SWOT mission.Read moreRead less
Mid-Career Industry Fellowships - Grant ID: IM230100702
Funder
Australian Research Council
Funding Amount
$859,472.00
Summary
Optimising sleep, alertness and safety in shift work industries. This project aims to address the impaired alertness, and high risk of workplace errors and accidents that are associated with sleep loss and circadian misalignment during shift work. The project will deliver an innovative industry-driven digital technology to provide automated, customised sleep management strategies to shift workers, and will develop a framework for effective wide-scale deployment of the technology within Australia ....Optimising sleep, alertness and safety in shift work industries. This project aims to address the impaired alertness, and high risk of workplace errors and accidents that are associated with sleep loss and circadian misalignment during shift work. The project will deliver an innovative industry-driven digital technology to provide automated, customised sleep management strategies to shift workers, and will develop a framework for effective wide-scale deployment of the technology within Australian shift working organisations. The project will close the gap in resources currently available to support sleep in shift workers and will reduce the significant burdens of shift work for alertness, productivity and safety.Read moreRead less
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
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
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
Discovery Early Career Researcher Award - Grant ID: DE170101180
Funder
Australian Research Council
Funding Amount
$327,900.00
Summary
Understanding and preventing road deaths using coronial investigations. This project aims to study coronial death investigations of fatal road crashes in Australia using public health and road safety theoretical frameworks. Fatal road crashes are sudden, unexpected and violent. Each fatality has a lasting effect resulting in immeasurable emotional costs and a financial burden in excess of $3.8 billion per year. Intended outcomes will contribute to understanding of fatal road crashes including pr ....Understanding and preventing road deaths using coronial investigations. This project aims to study coronial death investigations of fatal road crashes in Australia using public health and road safety theoretical frameworks. Fatal road crashes are sudden, unexpected and violent. Each fatality has a lasting effect resulting in immeasurable emotional costs and a financial burden in excess of $3.8 billion per year. Intended outcomes will contribute to understanding of fatal road crashes including pre-crash social factors (e.g. alcohol/drug use and dependence, unemployment, age), the use and effect of coronial recommendations on road safety policy and practice, and preventing deaths on Australian roads.Read moreRead less
Improving the effectiveness of electronic deterrents to prevent shark bites. Existing commercial electronic shark deterrents, which attempt to deter sharks by emitting strong electric pulses into the water, are either ineffective, have limited deterrent range, or have only been tested with great white sharks. Moreover, uncertainty regarding the way in which pulsed electric fields deter sharks, and whether they may even attract sharks, hampers the development of improved deterrents. This project ....Improving the effectiveness of electronic deterrents to prevent shark bites. Existing commercial electronic shark deterrents, which attempt to deter sharks by emitting strong electric pulses into the water, are either ineffective, have limited deterrent range, or have only been tested with great white sharks. Moreover, uncertainty regarding the way in which pulsed electric fields deter sharks, and whether they may even attract sharks, hampers the development of improved deterrents. This project aims to investigate the effects of pulsed electric fields on shark physiology and behaviour, develop novel electronic pulse waveforms that maximise the deterrent effect on a range of shark species, and deliver innovative improvements in electronic shark deterrent technology that will save the lives of humans and sharks.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC230100001
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Training Centre for Automated Vehicles in Rural and Remote Regions. The Centre will build skills and capability to test and deploy safe, socially acceptable, automated vehicles (AV) for rural, regional and remote Australian public roads, where manufacturing, agriculture, mining and defence industries face significant challenges of driver shortages, rising costs, long distances, rough roads, and environmental impacts. The centre will unite technology providers, regulators, government and end ....ARC Training Centre for Automated Vehicles in Rural and Remote Regions. The Centre will build skills and capability to test and deploy safe, socially acceptable, automated vehicles (AV) for rural, regional and remote Australian public roads, where manufacturing, agriculture, mining and defence industries face significant challenges of driver shortages, rising costs, long distances, rough roads, and environmental impacts. The centre will unite technology providers, regulators, government and end users with world-leading interdisciplinary researchers to create new human-AV systems, datasets, frameworks, case studies, platforms, and a vastly upskilled workforce. This will reduce transport costs, increase capacity, boost supply chain efficiency and resilience, improve road safety, and elevate Australian capability.Read moreRead less
Sustainable mobility: city-wide exposure modelling to advance bicycling. This project aims to develop a world-leading platform for city-wide modelling of cycling exposure. This project will provide unparalleled insights into cycling exposure by combining multiple cycling data sources through the use of advanced spatial statistical and machine learning techniques. The expected outcomes of this project are a novel inventory of cycling infrastructure, a cycling route choice modelling system and rob ....Sustainable mobility: city-wide exposure modelling to advance bicycling. This project aims to develop a world-leading platform for city-wide modelling of cycling exposure. This project will provide unparalleled insights into cycling exposure by combining multiple cycling data sources through the use of advanced spatial statistical and machine learning techniques. The expected outcomes of this project are a novel inventory of cycling infrastructure, a cycling route choice modelling system and robust predictions of cycling volumes on individual streets. This project will deliver a step change in cycling that will lead to increased cycling participation, enhanced safety, and improved infrastructure planning, thereby resulting in substantial gains in population and environmental health.Read moreRead less