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 Contemporary Driving Risk Assessment Tools to Improve Fleet Safety. The development of effective driving risk management tools will provide valuable insight into methods to reduce a significant community and national problem, as work-related road crashes cost Australia $15 billion a year. Importantly, the project has the potential to benefit both urban and rural areas of Queensland and Australia, as road crashes are a national problem. The research study also has the potential to cr ....Developing Contemporary Driving Risk Assessment Tools to Improve Fleet Safety. The development of effective driving risk management tools will provide valuable insight into methods to reduce a significant community and national problem, as work-related road crashes cost Australia $15 billion a year. Importantly, the project has the potential to benefit both urban and rural areas of Queensland and Australia, as road crashes are a national problem. The research study also has the potential to create business cost savings from reductions in productivity loss and medical expenses, as well as flow through to the general population in terms of better (a) fleet management, and (b) driver attitudes and behaviour.Read moreRead less
Novel statistical analysis for traffic modelling. This collaborative research with Queensland Main Roads aims to develop and apply novel statistical modelling techniques which improve on the current statistical methods used for transport modelling. The research outcomes will provide a high level of accuracy in terms of predictions for trips leading to better use of expensive survey data. Predictions will be incorporated into transport models. Such model will be used for improving decisions i ....Novel statistical analysis for traffic modelling. This collaborative research with Queensland Main Roads aims to develop and apply novel statistical modelling techniques which improve on the current statistical methods used for transport modelling. The research outcomes will provide a high level of accuracy in terms of predictions for trips leading to better use of expensive survey data. Predictions will be incorporated into transport models. Such model will be used for improving decisions involving multi billion dollar transport infrastructure investment and applied to South East Queensland. The methods can be extended to transport models for other large conurbations in Australia. Outcomes include improved transport systems with economic benefits for business and the community. Read moreRead less