Safety in the Heavy Vehicle Industry: A Collaborative Response. The management and regulation of heavy vehicles, particularly in relation to safety, is recognised as an urgent issue at all levels of government across Australia. In the absence of research that identifies the key determinants of heavy vehicle crashes, countermeasures will continue to be based on anecdote. The proposed study will determine the role key risk factors, namely scheduling and sleep-related factors, play in heavy vehicl ....Safety in the Heavy Vehicle Industry: A Collaborative Response. The management and regulation of heavy vehicles, particularly in relation to safety, is recognised as an urgent issue at all levels of government across Australia. In the absence of research that identifies the key determinants of heavy vehicle crashes, countermeasures will continue to be based on anecdote. The proposed study will determine the role key risk factors, namely scheduling and sleep-related factors, play in heavy vehicle crashes and will identify cost-effective strategies to reduce the growing economic burden associated with these crashes.Read moreRead less
Protecting Critical Transport Infrastructure using Hybrid Approaches for Interference and Spoofer Detection and Localisation. Modern infrastructure increasingly relies on the positioning and timing capabilities provided by the Global Navigation Satellite Systems (GNSS). GNSS signals, however, are vulnerable to interference and spoofing attacks. This vulnerability is aggravated as satellite navigation becomes more central to the operation of airports, ports, railways, and communications systems. ....Protecting Critical Transport Infrastructure using Hybrid Approaches for Interference and Spoofer Detection and Localisation. Modern infrastructure increasingly relies on the positioning and timing capabilities provided by the Global Navigation Satellite Systems (GNSS). GNSS signals, however, are vulnerable to interference and spoofing attacks. This vulnerability is aggravated as satellite navigation becomes more central to the operation of airports, ports, railways, and communications systems. Building on from earlier work by University of New South Wales, University of Adelaide and GPSat Systems, this project aims to create a system for locating interference and spoofers to GNSS of any power in real time, providing layered monitoring and reactive mitigation solutions against interference and spoofing attacks.Read moreRead less
Exploring Behavioural Responses of Motorists to Exposure-Based Charging Mechanisms. Our continued reliance on cars is estimated to cost the Australian economy around $50 billion per year in accidents, congestion and air pollution. This project delivers a new approach to reduce these externalities, in which charges are levied on drivers based on their accident history, the kilometres driven and the circumstances under which these kilometres are driven. In addition to the safety and congestion ben ....Exploring Behavioural Responses of Motorists to Exposure-Based Charging Mechanisms. Our continued reliance on cars is estimated to cost the Australian economy around $50 billion per year in accidents, congestion and air pollution. This project delivers a new approach to reduce these externalities, in which charges are levied on drivers based on their accident history, the kilometres driven and the circumstances under which these kilometres are driven. In addition to the safety and congestion benefits, the outcomes of the project will be of importance to those charged with raising revenue to support infrastructure maintenance and development, and the insurance industry as a basis for reducing risks in driving and making premiums more equitable.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
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
Evaluation of profile edge markings as a road safety countermeasure: Analysis of crash statistics and on-road study of driver behaviour and attitudes. Fatigue contributes to 20% of fatal car crashes. Profile line-marking (PLM) aims to reduce fatigue-related crashes by alerting drivers when they begin veering off the road. Substantial stretches are laid annually Australia-wide, although evaluations of PLM have been unsophisticated or flawed. We aim to improve understanding of PLM impacts by inve ....Evaluation of profile edge markings as a road safety countermeasure: Analysis of crash statistics and on-road study of driver behaviour and attitudes. Fatigue contributes to 20% of fatal car crashes. Profile line-marking (PLM) aims to reduce fatigue-related crashes by alerting drivers when they begin veering off the road. Substantial stretches are laid annually Australia-wide, although evaluations of PLM have been unsophisticated or flawed. We aim to improve understanding of PLM impacts by investigating: 1)beliefs/attitudes regarding PLM (e.g. "PLM damages cars"); 2)whether road-edge PLM increases head-on crashes; 3)the efficacy of PLM with more widely spaced "ribs", with and without separate raised pavement markers; 4)underlying mechanisms (e.g. reducing fatigue, increasing visibility during night/wet) in order to improve the efficacy and efficiency of PLM use.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
The Australian naturalistic driving study: innovation in road safety research and policy. A revolutionary new approach, the naturalistic driving study, will investigate what people actually do when they drive, in normal and safety-critical situations. It will provide Australia with answers to some intractable, high priority, road safety problems that cannot be answered using current methods, thereby saving hundreds of lives.
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
iMATCH: Independent mobility, active travel and children's health. Policy interventions are used across Australia to improve children's independent mobility, to increase children's physical activity levels and social interaction, and to generate more sustainable travel behaviour, particularly for the journey to school. iMATCH provides a holistic and inter-disciplinary evaluation of policy interventions than is undertaken for most evaluations of school travel and children's travel behaviour polic ....iMATCH: Independent mobility, active travel and children's health. Policy interventions are used across Australia to improve children's independent mobility, to increase children's physical activity levels and social interaction, and to generate more sustainable travel behaviour, particularly for the journey to school. iMATCH provides a holistic and inter-disciplinary evaluation of policy interventions than is undertaken for most evaluations of school travel and children's travel behaviour policies and programs. By controlling for the influence of the built and social environment, the project will provide the necessary support to justify these policy interventions and to identify key improvements for their delivery, supporting more sustainable and healthy lifestyles for Australia's children.Read moreRead less