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
The Safer Scooting Study. E-scooters are a new transport option experiencing rapid uptake, but many people are concerned about their safety. This project aims to provide an understanding of how and why people use e-scooters and how rider behaviour and safety outcomes change with experience. The anticipated goal of this project is to harness the potential benefits of e-scooters as an efficient replacement for short car trips and a way of improving access to public transport, while minimising the ....The Safer Scooting Study. E-scooters are a new transport option experiencing rapid uptake, but many people are concerned about their safety. This project aims to provide an understanding of how and why people use e-scooters and how rider behaviour and safety outcomes change with experience. The anticipated goal of this project is to harness the potential benefits of e-scooters as an efficient replacement for short car trips and a way of improving access to public transport, while minimising the dangers to riders and pedestrians. This knowledge is expected to inform governments at all levels, industry and riders on how to optimise e-scooter design, use and regulation to contribute to improvements in transport, health and environmental outcomes for all Australians.Read moreRead less
A real-time traffic signal system for safe and efficient intersections . Road traffic crashes result in 1,200 fatalities and another 36,500 injuries on Australian roads each year. Signalised intersections represent a high-risk node in a transportation network, but the current signal designs only consider efficiency but not safety. This project aims to unleash the power of artificial intelligence (AI) and integrate with the advanced extreme value models for proactive and efficient detection of cr ....A real-time traffic signal system for safe and efficient intersections . Road traffic crashes result in 1,200 fatalities and another 36,500 injuries on Australian roads each year. Signalised intersections represent a high-risk node in a transportation network, but the current signal designs only consider efficiency but not safety. This project aims to unleash the power of artificial intelligence (AI) and integrate with the advanced extreme value models for proactive and efficient detection of crash risk in real-time. Its innovations lie on developing a novel traffic signal control system balancing safety and efficiency of signalised intersections. The proposed real-time traffic signal system will fundamentally transform the intersection operation and lead to reductions of road fatalities, injuries and emissions.Read moreRead less
The anatomy of a fatigue-related motor vehicle crash or near-crash. The anatomy of a fatigue-related motor vehicle crash or near-crash. This project aims to investigate the time course of multiple physiological and behavioural signals that lead to fall-asleep (on-road) driving events, to inform the next generation of driver state monitoring technologies. Falling asleep at the wheel remains a major cause of road crashes worldwide. Although technologies to monitor driver sleepiness are integral to ....The anatomy of a fatigue-related motor vehicle crash or near-crash. The anatomy of a fatigue-related motor vehicle crash or near-crash. This project aims to investigate the time course of multiple physiological and behavioural signals that lead to fall-asleep (on-road) driving events, to inform the next generation of driver state monitoring technologies. Falling asleep at the wheel remains a major cause of road crashes worldwide. Although technologies to monitor driver sleepiness are integral to the rapidly evolving autonomous vehicle industry, such technologies are limited because they measure the end-state of falling asleep, rather than the physiological and behavioural precursors, thus providing little opportunity for intervention. This project is expected to lead to new driver monitoring systems that reduce fall-asleep crashes.Read moreRead less
Integrating technological and organisational approaches to enhance the safety of roadworkers. Across Australia about 50 people are killed and 750 are injured in crashes at roadworks each year, costing hundreds of millions of dollars. Making roadworks safer is a complicated task, involving multiple organisations as well as the motoring public. This project will develop and evaluate an integrated program including research into new technologies, testing of strategies to improve organisational and ....Integrating technological and organisational approaches to enhance the safety of roadworkers. Across Australia about 50 people are killed and 750 are injured in crashes at roadworks each year, costing hundreds of millions of dollars. Making roadworks safer is a complicated task, involving multiple organisations as well as the motoring public. This project will develop and evaluate an integrated program including research into new technologies, testing of strategies to improve organisational and safety culture, and investigation of education approaches. At a time of unprecedented spending on improving Australia's road infrastructure, this research will contribute to ensuring the safety of the workers directly involved in the road improvements necessary to achieve major long-term economic and social benefits.Read moreRead less
A novel integrated motorway management system for less congested, more reliable and safer motorways. Motorway traffic congestion poses major economic, social and safety problems, which this project seeks to address through intelligent traffic management solutions as an alternative to massive infrastructure expansion. The project’s innovative traffic analysis and control system will reduce periods of congestion and increase driver safety.
Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely ....Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely diagnostics and prognostics and innovative proactive control measures that mitigate their impact on autonomous driving quality and safety. The expected benefits for the automotive industry and end-users include increased safety and reliability of steering systems, and higher confidence in autonomous driving.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
Developing and evaluating a theoretically grounded novice driver education program incorporating simulators. Australian young drivers are 13 per cent of the population but account for nearly a quarter of road deaths. This project aims to develop a research informed, theory-driven education intervention that includes a simulator component to improve their driving skills and attitudes. A process and outcome evaluation aims to assess the effectiveness of the training including the impact on how ind ....Developing and evaluating a theoretically grounded novice driver education program incorporating simulators. Australian young drivers are 13 per cent of the population but account for nearly a quarter of road deaths. This project aims to develop a research informed, theory-driven education intervention that includes a simulator component to improve their driving skills and attitudes. A process and outcome evaluation aims to assess the effectiveness of the training including the impact on how individuals learn to drive, changes in skill and attitudes as well as the influence on crashes and offences. It is intended that a second parallel study will adapt the intervention for Indigenous Australians and examine the effectiveness of this adaptation.Read moreRead less
Establishing safe driving practice: Improving young learner driver training. This project plans to develop a best-practice model to enable professional instructors to teach essential higher-order skills (e.g. hazard perception) to young learner drivers to establish safe driving behaviours. Australian young drivers aged 17–25 years comprise 13 per cent of the population but 22 per cent of road deaths. More effective teaching models are expected to reduce young drivers’ crash risk when they drive ....Establishing safe driving practice: Improving young learner driver training. This project plans to develop a best-practice model to enable professional instructors to teach essential higher-order skills (e.g. hazard perception) to young learner drivers to establish safe driving behaviours. Australian young drivers aged 17–25 years comprise 13 per cent of the population but 22 per cent of road deaths. More effective teaching models are expected to reduce young drivers’ crash risk when they drive unsupervised. The project aims to develop and assess the effectiveness of the model including the impact on instructor teaching practices, and changes in young driver skills, attitudes, and driving behaviours including crashes and offences. It also aims to assess instructor and young driver perceptions of the model.Read moreRead less