Promoting active travel and public transport for a post-pandemic world. In many major cities, COVID-19 stimulated the provision of open streets, pop up bike lanes and widened pedestrian access, prompting unprecedented increases cycling and walking. While this type of infrastructure has always been supported by urban planners and designers, the pandemic has served as a vital inflection point, enabling cities to pursue long-term sustainable transport initiatives, including investment in Active Tra ....Promoting active travel and public transport for a post-pandemic world. In many major cities, COVID-19 stimulated the provision of open streets, pop up bike lanes and widened pedestrian access, prompting unprecedented increases cycling and walking. While this type of infrastructure has always been supported by urban planners and designers, the pandemic has served as a vital inflection point, enabling cities to pursue long-term sustainable transport initiatives, including investment in Active Travel (AT). There is an opportunity to promote AT as part of an integrated transport strategy, and to develop tools for the robust evaluation of AT impacts to inform future investment strategies. This proposal will provide our partner organisation Transport for New South Wales (with the knowledge required to achieve this.
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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
The long-term effects of autonomous cars on land use, access and travel . Historically new transport technologies have significantly changed urban form in Australian cities with important business, economic, congestion, social and environmental impacts. Autonomous cars are said to revolutionise tomorrows transport but no research has yet considered long term impacts on land use and city structure. This project explores how land use and travel will change adopting innovative land use and transp ....The long-term effects of autonomous cars on land use, access and travel . Historically new transport technologies have significantly changed urban form in Australian cities with important business, economic, congestion, social and environmental impacts. Autonomous cars are said to revolutionise tomorrows transport but no research has yet considered long term impacts on land use and city structure. This project explores how land use and travel will change adopting innovative land use and transport models. Outcomes will better prepare Australia for an autonomous travel future.Read moreRead less
Safe and efficient eco-driving using connected and automated vehicles. This project aims to solve the paradox of trading off liveability for mobility by simultaneously reducing traffic congestion, vehicle energy consumption, and emission. This project is expected to generate fundamental knowledge and powerful tools on utilising connected and automated vehicles to help individuals become green drivers. Expected outcomes include ground-breaking models capable of holistically optimising traffic ef ....Safe and efficient eco-driving using connected and automated vehicles. This project aims to solve the paradox of trading off liveability for mobility by simultaneously reducing traffic congestion, vehicle energy consumption, and emission. This project is expected to generate fundamental knowledge and powerful tools on utilising connected and automated vehicles to help individuals become green drivers. Expected outcomes include ground-breaking models capable of holistically optimising traffic efficiency, energy consumption and emission, and innovative control strategies and policies that focus on energy efficiency and environment protection. This research will bring a wide range of substantial national benefits related to mobility, public health, environmental protection, and energy security.Read moreRead less
Design of micro-decisions in automated transport. This project aims to design methods and market algorithms for vehicle control to tackle traffic congestion with interactive micro-auctions, micro-tolling and cooperative games. Specifically, this project develops and designs incentives, auctions and behavioural and pricing rules to manipulate micro traffic dynamics such as lane-changing, merging, energy-efficient driving, and driving at intersections, in roads without defined lanes and shared spa ....Design of micro-decisions in automated transport. This project aims to design methods and market algorithms for vehicle control to tackle traffic congestion with interactive micro-auctions, micro-tolling and cooperative games. Specifically, this project develops and designs incentives, auctions and behavioural and pricing rules to manipulate micro traffic dynamics such as lane-changing, merging, energy-efficient driving, and driving at intersections, in roads without defined lanes and shared spaces to achieve collective macro benefits. The project targets mixed traffic where AVs and conventional human-driven vehicles interact and share the road. The project expects to generate new knowledge of transport science to lessen social, economic and environmental impacts of private cars.Read moreRead less
Fluid-thermal-structural interactions on high-speed aerospace vehicles. Sixteen years after the retirement of Concorde, high-speed commercial flight is once again on the rise with the development of new supersonic business jets and small airliners as well as hypersonic transport and reusable space launch systems. Robust and efficient designs for these light-weight vehicles must address the problem of aerodynamic heating and its effect on structural performance and lifing. This project will desig ....Fluid-thermal-structural interactions on high-speed aerospace vehicles. Sixteen years after the retirement of Concorde, high-speed commercial flight is once again on the rise with the development of new supersonic business jets and small airliners as well as hypersonic transport and reusable space launch systems. Robust and efficient designs for these light-weight vehicles must address the problem of aerodynamic heating and its effect on structural performance and lifing. This project will design and perform first-of-kind experiments that reproduce the complex fluid-thermal-structural interactions representative of those experienced by these aircraft and rockets. We will then use these measurements to assess, validate and improve the current state-of-the-art of simulation and modelling approaches for design.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100602
Funder
Australian Research Council
Funding Amount
$424,000.00
Summary
Market Design of Next Generation of Shared and Automated Transport Services. This project aims to develop novel quantitative models and market design methods to fundamentally transform the analysis, control and regulation of shared and automated point-to-point transport services in multimodal networks. The project offers an innovative non-equilibrium approach that models multiple competitive transport platforms, travellers, freelancer drivers and transport legislator entity to ensure achieving s ....Market Design of Next Generation of Shared and Automated Transport Services. This project aims to develop novel quantitative models and market design methods to fundamentally transform the analysis, control and regulation of shared and automated point-to-point transport services in multimodal networks. The project offers an innovative non-equilibrium approach that models multiple competitive transport platforms, travellers, freelancer drivers and transport legislator entity to ensure achieving social welfare. The project outcomes address the eventual transition towards automation where platforms own and utilise different proportions of AVs in their fleet. The project expects to generate new knowledge of transport science that can be used to lessen social, economic and environmental impacts of private car ownership.
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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
Discovery Early Career Researcher Award - Grant ID: DE220100052
Funder
Australian Research Council
Funding Amount
$437,020.00
Summary
Impacts of the apartment boom on public transport in Australian cities. This project aims to investigate the impacts of high density housing on public transport use and service provision to directly inform policy and practice. Recent growth in high density housing along public transport corridors is associated with overcrowded public transport services in Australian cities, yet this complex and interconnected relationship is not well understood. This project expects to generate new knowledge in ....Impacts of the apartment boom on public transport in Australian cities. This project aims to investigate the impacts of high density housing on public transport use and service provision to directly inform policy and practice. Recent growth in high density housing along public transport corridors is associated with overcrowded public transport services in Australian cities, yet this complex and interconnected relationship is not well understood. This project expects to generate new knowledge in the field of transport and land use integration and produce much needed cross-sectional and longitudinal evidence of the impacts of the apartment boom on public transport. Anticipated benefits include reduced overcrowding on public transport, improved travel choices and enhanced liveability in Australian cities.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100754
Funder
Australian Research Council
Funding Amount
$426,154.00
Summary
Drag Prediction over Rough Surfaces using Hardware-Accelerated Simulations. This project aims to uncover the relationship between roughness topography and drag by utilising high-performance and efficient hardware acceleration. This project expects to generate new knowledge in the area of rough-wall turbulent boundary layer by using state-of-the-art hardware accelerated high fidelity simulations and machine learning techniques to identify important roughness parameters. Expected outcomes of this ....Drag Prediction over Rough Surfaces using Hardware-Accelerated Simulations. This project aims to uncover the relationship between roughness topography and drag by utilising high-performance and efficient hardware acceleration. This project expects to generate new knowledge in the area of rough-wall turbulent boundary layer by using state-of-the-art hardware accelerated high fidelity simulations and machine learning techniques to identify important roughness parameters. Expected outcomes of this project include the development of a novel, more accurate, and robust model to predict drag. This would lead to improved data-driven policies for more sustainable and profitable airline and maritime industries.Read moreRead less