Understanding impact of autonomous vehicles on behaviour and interactions. Understanding impact of autonomous vehicles on behaviour and interactions. This project aims to explore three human factor issues critical to the successful deployment of automated vehicles: factors influencing driver choice of automated vehicle control; interactions between automated and manually controlled vehicles; and driver detection, recognition, and reaction to automated vehicle system failures. Automated vehicles ....Understanding impact of autonomous vehicles on behaviour and interactions. Understanding impact of autonomous vehicles on behaviour and interactions. This project aims to explore three human factor issues critical to the successful deployment of automated vehicles: factors influencing driver choice of automated vehicle control; interactions between automated and manually controlled vehicles; and driver detection, recognition, and reaction to automated vehicle system failures. Automated vehicles are predicted to be transformative, but their ultimate success and expected societal benefits will depend on drivers’ trust in them and on how people choose to use and interact with them. Insights from this research should prepare our society for more automated vehicles on the roadways.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
Rethinking walking infrastructure: AI-assisted footpath network modelling. The project aims to develop new macroscopic and network wide transport modelling and optimisation methodologies specific to walking suitable for large scale footpath network planning applications. The expected outcomes of this project are a novel Artificial Intelligence (AI) assisted tool for automated generation of footpath network attributes, and a set of equilibrium and non-equilibrium seeking walking route choice mode ....Rethinking walking infrastructure: AI-assisted footpath network modelling. The project aims to develop new macroscopic and network wide transport modelling and optimisation methodologies specific to walking suitable for large scale footpath network planning applications. The expected outcomes of this project are a novel Artificial Intelligence (AI) assisted tool for automated generation of footpath network attributes, and a set of equilibrium and non-equilibrium seeking walking route choice models driven by real-world individual walking trajectory data. This project will deliver a step-change in transport planning for walking infrastructure that will lead to increased active transport and improved urban infrastructure planning, thereby resulting in significant gains in population and environmental health.Read moreRead less
Congestion management in key road networks of a major city through real time data collection, intelligent forecasting and real time routing. The project researches the issues for allowing Australian Road Traffic Authorities to automatically capture road traffic data, forecast traffic flows and smartly route traffic flows to avoid congestion on road networks. This will lead to several benefits, such as (a) reducing traffic congestion, shorten travel time and lower pollution, (b) better utilizati ....Congestion management in key road networks of a major city through real time data collection, intelligent forecasting and real time routing. The project researches the issues for allowing Australian Road Traffic Authorities to automatically capture road traffic data, forecast traffic flows and smartly route traffic flows to avoid congestion on road networks. This will lead to several benefits, such as (a) reducing traffic congestion, shorten travel time and lower pollution, (b) better utilization of existing road infrastructure by diffusing traffic to alternate routes, (c) provide economic benefit by allowing one to delay infrastructure expansion, (d) monitoring of aberrant behaviour by road users to ensure a safer road environment, and (e) improved flexibility in deployment of the Wireless Sensor Network to meet the needs of the road authorities and community.Read moreRead less
Motorcycle protective clothing, crash protection, thermal strain and rider performance. Using a mix of novel studies this project will for the first time provide: basic knowledge of the required performance of protective clothing to prevent injury; the best ways to assess performance; and, resolution around potential negative effects of thermal strain on rider performance. This is is the first study to examine motorcycle protective clothing from a whole-system perspective. In Australia, motorcyc ....Motorcycle protective clothing, crash protection, thermal strain and rider performance. Using a mix of novel studies this project will for the first time provide: basic knowledge of the required performance of protective clothing to prevent injury; the best ways to assess performance; and, resolution around potential negative effects of thermal strain on rider performance. This is is the first study to examine motorcycle protective clothing from a whole-system perspective. In Australia, motorcyclists are over-represented in casualty rates and currently cost the Australian community more than two billion Australian dollars per year. This work will provide knowledge on which public policy and performance assessment protocols can be developed, and ultimately will lead to reduced societal costs from motorcycle crashes.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775643
Funder
Australian Research Council
Funding Amount
$380,000.00
Summary
A multiscale system for characterizing surface and subsurface properties of advanced materials. The installation of the proposed equipment will greatly strengthen the research capability and capacity of the leading Australian teams in the frontier areas of multiscale manufacturing and advanced materials technology. This will in turn lead to more significant innovations and sharpen Australia's competitive edge internationally. The facility will enable the advanced training of students and enginee ....A multiscale system for characterizing surface and subsurface properties of advanced materials. The installation of the proposed equipment will greatly strengthen the research capability and capacity of the leading Australian teams in the frontier areas of multiscale manufacturing and advanced materials technology. This will in turn lead to more significant innovations and sharpen Australia's competitive edge internationally. The facility will enable the advanced training of students and engineers most needed by the country. Read moreRead less