Unifying Traffic Modelling and Safety Management for Safer and Faster Roads. This project aims to balance road safety and efficiency as conflicting goals of transport systems mixed with connected and automated vehicles (CAVs). This project is expected to generate fundamental knowledge on operational algorithms and analytics for CAVs and develop innovative tools for operating them. Expected outcomes include ground-breaking models capable of the co-estimation of efficiency and safety impacts of CA ....Unifying Traffic Modelling and Safety Management for Safer and Faster Roads. This project aims to balance road safety and efficiency as conflicting goals of transport systems mixed with connected and automated vehicles (CAVs). This project is expected to generate fundamental knowledge on operational algorithms and analytics for CAVs and develop innovative tools for operating them. Expected outcomes include ground-breaking models capable of the co-estimation of efficiency and safety impacts of CAVs, and control strategies to safely and efficiently integrate CAVs into existing transport systems. This should provide significant safety and efficiency benefits that currently cost about 1160 lives and 1.25 billion hours of congestion per year, and make Australia better prepared for the connected and automated vehicle era.Read moreRead less
Reducing aggression on our roads: testing a comprehensive model of aggressive driving. This project aims to increase our understanding of driver aggression, its causes and how it can be prevented. This will inform development of more effective educational and enforcement measures to reduce driver aggression and resultant road crashes, which have significant social and economic impacts on the Australian community.
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
Proactive detection of motor vehicle crash black spots based on their underlying behavioural, engineering, and spatially related causes. Road traffic crashes are responsible for about 1400 fatalities and 32,500 injuries on Australian roadways each year. A significant research opportunity exists to fundamentally rethink how the profession quantitatively identifies black spots on the transport network. The first project aim is to develop, test, and validate an evidence based methodology to proacti ....Proactive detection of motor vehicle crash black spots based on their underlying behavioural, engineering, and spatially related causes. Road traffic crashes are responsible for about 1400 fatalities and 32,500 injuries on Australian roadways each year. A significant research opportunity exists to fundamentally rethink how the profession quantitatively identifies black spots on the transport network. The first project aim is to develop, test, and validate an evidence based methodology to proactively detect motor vehicle crash black spots. The second aim is decompose (statistically) observed crashes at a site into their engineering, behavioural, and unobserved spatial components. The new methods combined will lead to fundamentally novel insights and knowledge regarding transport network safety management, in turn leading to reductions in the Australian road toll.Read moreRead less
Intention-aware cooperative driving behaviour model for Automated Vehicles. This project aims to investigate humans' cooperation with automated systems by conceptualising joint intention awareness. This project expects to generate knowledge about a new cooperative driving behaviour model for automated vehicles, utilising a transdisciplinary approach that mixes human-centric methods with deep learning techniques. Intended outcomes are new joint intention awareness theory, new interface for automa ....Intention-aware cooperative driving behaviour model for Automated Vehicles. This project aims to investigate humans' cooperation with automated systems by conceptualising joint intention awareness. This project expects to generate knowledge about a new cooperative driving behaviour model for automated vehicles, utilising a transdisciplinary approach that mixes human-centric methods with deep learning techniques. Intended outcomes are new joint intention awareness theory, new interface for automated vehicles, new methodology for cooperative behaviour research, and enhanced research capacity. The expected significant benefits are for automated systems to become more predictable, acceptable, readable and safer to use by everyday people.Read moreRead less
A human-centric eXplainable Automated Vehicle. The aim is to create a computational model to address the inability of Automated Vehicles (AV), powered by Artificial intelligence, to self explain their behaviours. This project applies novel multidisciplinary methodologies in a real-world self-driving setting to formalise the essence of driving explanations. It explores the when, why and how a driver is seeking an explanation and what type of automated explanation is truly human-interpretable. Exp ....A human-centric eXplainable Automated Vehicle. The aim is to create a computational model to address the inability of Automated Vehicles (AV), powered by Artificial intelligence, to self explain their behaviours. This project applies novel multidisciplinary methodologies in a real-world self-driving setting to formalise the essence of driving explanations. It explores the when, why and how a driver is seeking an explanation and what type of automated explanation is truly human-interpretable. Expected outcomes include the discovery of an acceptable, transparent and ethical explanation system that helps humans to understand the AVs decision making. This field will continue to rise in prominence and produce much-needed work to improve the widespread adoption of AVs.Read moreRead less
An innovative theory driven approach to enhancing situation awareness among road users in Australia. This project will develop, via on-road studies exploring road user behaviour, a first of its kind systems theoretic model of situation awareness (SA) for road transport. The model will then be used to inform the development of roadway design solutions to enhance road user SA, which will be tested through advanced simulation.
The initiation and control of action in motor vehicle driving. Every time we pull up to a traffic light or overtake another vehicle our brain is making a whole series of critical decisions about when and how to carry out the manoeuvre accurately and safely. This project seeks to better understand the processes involved. Using the latest, high fidelity GPS and accelerometer technology, highly accurate measurements of driver behaviour and vehicle dynamics will be made in a real vehicle. Understand ....The initiation and control of action in motor vehicle driving. Every time we pull up to a traffic light or overtake another vehicle our brain is making a whole series of critical decisions about when and how to carry out the manoeuvre accurately and safely. This project seeks to better understand the processes involved. Using the latest, high fidelity GPS and accelerometer technology, highly accurate measurements of driver behaviour and vehicle dynamics will be made in a real vehicle. Understanding when and how we carry out these types of basic tasks will play a central role in future brake, suspension and steering system design; will help guide the specifications of road and road sign design; and will help motivate additions or alterations to current driver training programmes.Read moreRead less
Using visual science to reduce the dangers of night driving. This project aims to develop novel tests of visual function relevant to the modern night driving environment. Night driving is challenging for all drivers and has been linked to poor visibility under low light conditions. This project will characterise the visual challenges of the modern night driving environment, develop visual tests that incorporate the dynamic light levels typical of night-time roads and assess the association of th ....Using visual science to reduce the dangers of night driving. This project aims to develop novel tests of visual function relevant to the modern night driving environment. Night driving is challenging for all drivers and has been linked to poor visibility under low light conditions. This project will characterise the visual challenges of the modern night driving environment, develop visual tests that incorporate the dynamic light levels typical of night-time roads and assess the association of these tests with night driving performance. The outcomes will contribute new knowledge regarding dynamic visual processing and the ageing visual system and will inform vision testing, potential interventions to improve visual function for night driving and reduce the dangers of night driving.Read moreRead less
Mathematical and computational analysis of ship wakes. This project aims to develop mathematical and computational tools to compute the energy in a given ship wake and to determine a range of properties of a ship by taking simple measurements of the water height as the ship travels past. The expected outcomes of this project include a suite of algorithms that back-calculate the hull shape and operating conditions of a moving ship given only the surface height data measured at a single point. The ....Mathematical and computational analysis of ship wakes. This project aims to develop mathematical and computational tools to compute the energy in a given ship wake and to determine a range of properties of a ship by taking simple measurements of the water height as the ship travels past. The expected outcomes of this project include a suite of algorithms that back-calculate the hull shape and operating conditions of a moving ship given only the surface height data measured at a single point. These results should have direct implications for measuring damage to coastal zones by ship wakes and for surveillance of shipping channels.Read moreRead less