Discovery Early Career Researcher Award - Grant ID: DE160100103
Funder
Australian Research Council
Funding Amount
$373,506.00
Summary
Understanding the automobility decisions of Australian millennials. The aim of this project is to understand the decision-making of young Australians regarding driver licensing and car travel. After decades of growth in car use, young adults are now becoming less likely to get a licence and drive cars. This reduction in car dependence provides an opportunity to reduce road deaths and injuries, road congestion and greenhouse gas emissions. Understanding how and why young adults make decisions abo ....Understanding the automobility decisions of Australian millennials. The aim of this project is to understand the decision-making of young Australians regarding driver licensing and car travel. After decades of growth in car use, young adults are now becoming less likely to get a licence and drive cars. This reduction in car dependence provides an opportunity to reduce road deaths and injuries, road congestion and greenhouse gas emissions. Understanding how and why young adults make decisions about their current and future car mobility could support this societal transformation and enhance sustainability and well-being.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
A systemic model to underpin enhanced management of powered-two-wheelers as part of a safe, sustainable transport system. Better management of motor scooters and motorbikes (Powered-2-wheelers or P2W) will deliver economic, environmental and social benefits. Road crashes involving P2Ws cost the Australian community in excess of $2 billion per annum. There are also the broader social impacts for crash victims, their families and communities from the potentially long-term pain, grief and debilitat ....A systemic model to underpin enhanced management of powered-two-wheelers as part of a safe, sustainable transport system. Better management of motor scooters and motorbikes (Powered-2-wheelers or P2W) will deliver economic, environmental and social benefits. Road crashes involving P2Ws cost the Australian community in excess of $2 billion per annum. There are also the broader social impacts for crash victims, their families and communities from the potentially long-term pain, grief and debilitating injuries. This project will provide insight into how the incidence and costs associated with P2W crashes can be reduced. In addition, congestion costs in each of Australia's capital cities are on the order of $3 billion per annum and there is potential for P2W research to reduce not only that cost but also the broader environmental impacts of travel by providing an alternative to cars.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
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
An innovative mechanism for optimising freeway traffic efficiency, safety, and sustainability via variable speed limit control. Congestion, safety, and emissions are three major traffic problems threatening the Australian economy. This project aims to develop a novel approach to collectively handle these problems for freeway traffic using variable speed limits (VSL). The project tasks address modelling, VSL controller design and automatic fine tuning of VSL controllers.
Road safety and Aboriginal people. This study will involve an in-depth examination of factors underlying the high involvement in road crashes by Aboriginal people in Australia. Using mixed methods in six communities across NSW and South Australia it will inform development of new programs aimed at closing the gap in this important area.
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
Discovery Early Career Researcher Award - Grant ID: DE180101411
Funder
Australian Research Council
Funding Amount
$366,996.00
Summary
Designing injury rehabilitation schemes for transport systems of tomorrow. This project aims to develop new models for understanding the effect of road transport system design on injury insurance, compensation and rehabilitation scheme performance. Injury rehabilitation schemes are critical facilitators of recovery for people injured in road crashes. However, rapid developments in artificial intelligence and autonomous vehicles are heralding a transportation revolution that may disrupt their per ....Designing injury rehabilitation schemes for transport systems of tomorrow. This project aims to develop new models for understanding the effect of road transport system design on injury insurance, compensation and rehabilitation scheme performance. Injury rehabilitation schemes are critical facilitators of recovery for people injured in road crashes. However, rapid developments in artificial intelligence and autonomous vehicles are heralding a transportation revolution that may disrupt their performance. The project expects to generate new knowledge for policy-makers and injury scheme managers to ensure injury schemes remain viable and perform well in the face of transport system change. It will assist injury schemes to prepare for potential challenges generated by future transport system design.Read moreRead less
Advancing cycling as an active transport mode using data driven approaches. This research program aims to provide the critical evidence that is needed to advance cycling as an active and sustainable mode of transport. Through interdisciplinary research and multi-national collaborations, the program will develop a world-leading data platform that will monitor, inform and evaluate cycling, and use this platform to provide the evidence that is needed to enhance cycling participation, safety and inf ....Advancing cycling as an active transport mode using data driven approaches. This research program aims to provide the critical evidence that is needed to advance cycling as an active and sustainable mode of transport. Through interdisciplinary research and multi-national collaborations, the program will develop a world-leading data platform that will monitor, inform and evaluate cycling, and use this platform to provide the evidence that is needed to enhance cycling participation, safety and infrastructure. The outcomes of the research will revolutionise our ability to implement safe and connected cycling infrastructure in areas of greatest need, leading to reduced injury, greater equity and wider uptake of cycling as a mode of transport, thereby leading to substantial gains in population and environmental health.Read moreRead less