Inferring driver behaviours, intent and risk in complex traffic scenarios. This project intends to develop methods to evaluate risk during driving. The next generation of vehicles will be fitted with sophisticated perception and egocentric information. This will be combined with inter-vehicle communication enabling cooperative safety, used in conjunction with intelligent infrastructure. This technology is expected to be mandated in the United States starting from 2017. This project plans to deve ....Inferring driver behaviours, intent and risk in complex traffic scenarios. This project intends to develop methods to evaluate risk during driving. The next generation of vehicles will be fitted with sophisticated perception and egocentric information. This will be combined with inter-vehicle communication enabling cooperative safety, used in conjunction with intelligent infrastructure. This technology is expected to be mandated in the United States starting from 2017. This project plans to develop unsupervised learning algorithms to infer high-level driver behaviours, intent and contextual information to automatically evaluate levels of risk under complex driving scenarios. It plans to validate the results using naturalistic driving datasets taken in large-scale deployments around the world. This innovation may improve automotive safety and facilitate the deployment of autonomous vehicles.Read moreRead less
Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural tra ....Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural transport. Expected primary outputs include algorithms, a detailed analysis of required systems and recommendations that will help prepare Australia for the importation of self-driving vehicles.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
Motorway management system integrating safety, efficiency & sustainability. This project aims to develop a motorway management system that holistically optimises motorway safety, efficiency, and sustainability via intervening the traffic flow dynamics. In the current practice of motorway traffic flow management, safety, efficiency, and sustainability are fundamentally connected but separately managed as they are modeled by distinct methodologies. The new system is based on a proposed traffic flo ....Motorway management system integrating safety, efficiency & sustainability. This project aims to develop a motorway management system that holistically optimises motorway safety, efficiency, and sustainability via intervening the traffic flow dynamics. In the current practice of motorway traffic flow management, safety, efficiency, and sustainability are fundamentally connected but separately managed as they are modeled by distinct methodologies. The new system is based on a proposed traffic flow theory which includes a microscopic model for safety analysis and a derived macroscopic model for efficiency and sustainability analysis. This theory can be used to resolve the above-mentioned long unsettled challenge and significantly improve our motorway performance.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
User-centric solutions to optimise safety of children in cars. Globally, incorrect use of child restraints and inappropriate use of adult seat belts are widespread and longstanding problems. In Australia alone >2 million children are at increased risk of injury because of the lack of understanding about how to solve these problems. We have pioneered development of methods to allow novel user-centred approaches coupled with behavioural theory to effectively tackle these problems. In this project ....User-centric solutions to optimise safety of children in cars. Globally, incorrect use of child restraints and inappropriate use of adult seat belts are widespread and longstanding problems. In Australia alone >2 million children are at increased risk of injury because of the lack of understanding about how to solve these problems. We have pioneered development of methods to allow novel user-centred approaches coupled with behavioural theory to effectively tackle these problems. In this project we will build on and extend these innovative methods to to deliver new understanding about how (i) to communicate with parents to ensure behaviours and decisions about restraint optimise safety, and (ii) user-driven design can solve problems inhibiting optimal protection of in cars.Read moreRead less
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
Towards equity in crash protection. Women are at increased relative risk for death and serious injury in motor vehicle crashes compared to men and the reasons for this are not clear. This Fellowship aims to build a new model that describes the mechanistic pathways for this inequity to identify where and how intervention could reduce this relative risk. This will establish what population groups have good and poor access to the best vehicle safety technologies, the differences, and what might cau ....Towards equity in crash protection. Women are at increased relative risk for death and serious injury in motor vehicle crashes compared to men and the reasons for this are not clear. This Fellowship aims to build a new model that describes the mechanistic pathways for this inequity to identify where and how intervention could reduce this relative risk. This will establish what population groups have good and poor access to the best vehicle safety technologies, the differences, and what might cause these differences in the benefits of vehicle safety technology between women and men. The outcomes will be of use to academics, policy makers and industry designing to new ways to protect women in crashes and close this gender gap.Read moreRead less