Fleet safety in the nonprofit sector. This project offers three unique opportunities. First, this research will improve the safety of work-related drivers within the nonprofit sector by implementing a multilevel fleet safety program addressing the key aspects that influence driving behaviour. Second, this research will address the safety of those volunteering their services through nonprofit agencies by developing regulatory frameworks to protect them from personal civil liability. Third, throug ....Fleet safety in the nonprofit sector. This project offers three unique opportunities. First, this research will improve the safety of work-related drivers within the nonprofit sector by implementing a multilevel fleet safety program addressing the key aspects that influence driving behaviour. Second, this research will address the safety of those volunteering their services through nonprofit agencies by developing regulatory frameworks to protect them from personal civil liability. Third, through achieving successful safety outcomes, this research will reduce the unnecessary costs associated with work-related crashes in a sector least able to afford such services.Read moreRead less
Best Fit Interventions in Fleet Safety. Work related vehicle crashes account for 20% of workplace fatalities and 13% of the national road toll. Industry often, unsuccessfully, initiates single intervention strategies to address all fleet related road safety issues. However, road safety research suggests that approaches need to be multi-dimensional. CARRS-Q (a leading centre in road safety research) in conjunction with Telstra (who operate Australia's largest national vehicle fleet) intend t ....Best Fit Interventions in Fleet Safety. Work related vehicle crashes account for 20% of workplace fatalities and 13% of the national road toll. Industry often, unsuccessfully, initiates single intervention strategies to address all fleet related road safety issues. However, road safety research suggests that approaches need to be multi-dimensional. CARRS-Q (a leading centre in road safety research) in conjunction with Telstra (who operate Australia's largest national vehicle fleet) intend to develop a multi-dimensional approach to improving fleet safety and establish the true industry costs of fleet related crashes. This research will enable industry to reduce work place death and injury resulting in socio/economic advantage to Australia. Read moreRead less
Ubiquitous Data Mining and Situation-Awareness for Improving Road Safety. Road crashes cost Australia $15 billion a year and 95% of these are attributed to drivers' errors. Risk assessment is at the core of the road crash problem. This innovative project develops a computational model that analyses situational driver behaviour and proposes real-time countermeasures to minimise fatalities/casualties. We develop and evaluate a novel Intelligent Transport System that assesses and acts upon drivers ....Ubiquitous Data Mining and Situation-Awareness for Improving Road Safety. Road crashes cost Australia $15 billion a year and 95% of these are attributed to drivers' errors. Risk assessment is at the core of the road crash problem. This innovative project develops a computational model that analyses situational driver behaviour and proposes real-time countermeasures to minimise fatalities/casualties. We develop and evaluate a novel Intelligent Transport System that assesses and acts upon drivers' risks. This multidisciplinary project integrates recent models of data mining, context-awareness computing, physiological metrics, ubiquitous computing, driver distraction models, risk perception and road safety. This project yields a new understanding of driver behaviour and countermeasures in risk situations.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.
Discovery Early Career Researcher Award - Grant ID: DE160100449
Funder
Australian Research Council
Funding Amount
$336,000.00
Summary
Modelling mixed traffic of traditional, connected, and automated vehicles. This project plans to address the challenge of efficiently operating mixed traffic flow of traditional, connected and automated vehicles. The rapid advancement of technologies is currently turning connected and automated vehicles from science fiction into science fact. However, there are no existing traffic flow models capable of reproducing features of mixed traffic flow consisting of traditional, connected and automated ....Modelling mixed traffic of traditional, connected, and automated vehicles. This project plans to address the challenge of efficiently operating mixed traffic flow of traditional, connected and automated vehicles. The rapid advancement of technologies is currently turning connected and automated vehicles from science fiction into science fact. However, there are no existing traffic flow models capable of reproducing features of mixed traffic flow consisting of traditional, connected and automated vehicles. This project aims to address this knowledge deficit and develop an analytical tool able to accurately model mixed traffic flow. This new knowledge and model are prerequisites to effective operation and control of traffic flow of traditional, connected and automated vehicles.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101020
Funder
Australian Research Council
Funding Amount
$357,000.00
Summary
Data-driven simulation of large traffic networks using trajectory data. This project aims to develop a low-cost, data-driven framework that builds a traffic simulation model automatically and directly from vehicle trajectory data to enable rapid and reliable analysis of large-scale traffic networks. The project expects to generate new knowledge in the area of transport engineering using an innovative approach to inferring travel behaviours, movement patterns and traffic dynamics from increasingl ....Data-driven simulation of large traffic networks using trajectory data. This project aims to develop a low-cost, data-driven framework that builds a traffic simulation model automatically and directly from vehicle trajectory data to enable rapid and reliable analysis of large-scale traffic networks. The project expects to generate new knowledge in the area of transport engineering using an innovative approach to inferring travel behaviours, movement patterns and traffic dynamics from increasingly available urban trajectory data. Expected outcomes include improved decision support for urban planners and traffic operators and enhanced traffic management and incident response capabilities, providing significant social, economic and environment benefits through optimised road use and urban flow.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0882942
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
Advanced Driving Simulator for Injury Prevention Research. Tragically road crashes are still the major cause of traumatic death and injury in Australia with an economic and social burden estimated at over $17 billion per year. This internationally recognised research team proposes to use a world leading advanced driving simulator for experimental studies to reduce the carnage and loss on Australian roads. It is vital that Australian researchers are granted access to the highest possible standa ....Advanced Driving Simulator for Injury Prevention Research. Tragically road crashes are still the major cause of traumatic death and injury in Australia with an economic and social burden estimated at over $17 billion per year. This internationally recognised research team proposes to use a world leading advanced driving simulator for experimental studies to reduce the carnage and loss on Australian roads. It is vital that Australian researchers are granted access to the highest possible standard of driving simulator technology to facilitate state-of-the-art research that could not otherwise be undertaken on open road settings due to ethical and safety reasons and cost limitations. This advanced driving simulator will support regulations regarding automotive safety.Read moreRead less
Development and evaluation of a motorcycle training intervention. In 2002, motorcyclists and pillions accounted for 224 road deaths in Australia - 13% of the total road toll although motorcycles accounted for less than 3% of all registered vehicles. They also accounted for nearly 20% of serious injuries. This collaborative project aims to reduce motorcycle crashes through an innovative training intervention focusing on the attitudinal and motivational factors influencing rider behaviour. The in ....Development and evaluation of a motorcycle training intervention. In 2002, motorcyclists and pillions accounted for 224 road deaths in Australia - 13% of the total road toll although motorcycles accounted for less than 3% of all registered vehicles. They also accounted for nearly 20% of serious injuries. This collaborative project aims to reduce motorcycle crashes through an innovative training intervention focusing on the attitudinal and motivational factors influencing rider behaviour. The intervention will be firmly grounded in theory and complement existing training frameworks to produce a highly transferable resource that can be adopted by other rider training centres both in Australia and overseas.Read moreRead less
A theory-based approach to the design and evaluation of anti-speeding messages to target high risk road users' attitudes and behaviours. The proposed research offers three significant benefits. First, this research will develop an improved approach to aid the design and testing of road safety anti-speeding messages. Second, the research will identify the most effective advertising messages for different groups of drivers at risk of being involved in road-related trauma such as young males. Third ....A theory-based approach to the design and evaluation of anti-speeding messages to target high risk road users' attitudes and behaviours. The proposed research offers three significant benefits. First, this research will develop an improved approach to aid the design and testing of road safety anti-speeding messages. Second, the research will identify the most effective advertising messages for different groups of drivers at risk of being involved in road-related trauma such as young males. Third, through improving the persuasiveness of anti-speeding advertising messages, the research may contribute to a reduction in the extent to which drivers engage in speeding which, in turn, may lessen speeding-related road trauma which would have significant benefits not only for road safety but for public health more broadly. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220101320
Funder
Australian Research Council
Funding Amount
$425,970.00
Summary
Rethinking traffic modelling for next generation city-scale networks. This project aims to develop an efficient traffic simulation model that enables data-informed traffic monitoring and automated model development, streamlining the fundamental transformation that next-generation cities will undergo in the coming decades. The project expects to generate new knowledge in traffic modelling by developing an innovative approach to inferring traffic conditions and traveller behaviour from diverse dat ....Rethinking traffic modelling for next generation city-scale networks. This project aims to develop an efficient traffic simulation model that enables data-informed traffic monitoring and automated model development, streamlining the fundamental transformation that next-generation cities will undergo in the coming decades. The project expects to generate new knowledge in traffic modelling by developing an innovative approach to inferring traffic conditions and traveller behaviour from diverse data feeds, and automating model calibration through an optimisation formulation. Expected outcomes address the eventual transition to smart cities and connected and autonomous vehicle technologies, providing significant social, economic and environmental benefits through optimal planning and effective operation schemes.Read moreRead less