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Current Selection
Socio-Economic Objective : Road Safety
Status : Closed
Field of Research : Transport Engineering
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  • Researchers (19)
  • Funded Activities (8)
  • Organisations (26)
  • Funded Activity

    Linkage Projects - Grant ID: LP130100270

    Funder
    Australian Research Council
    Funding Amount
    $750,000.00
    Summary
    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.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100050

    Funder
    Australian Research Council
    Funding Amount
    $570,000.00
    Summary
    Integrated facility for recording driver and road user behaviour. The integrated facility will be used to record and analyse data on driver and road user behaviour, in normal and safety-critical situations, for thousands of Australian drivers. The data yielded will be used to develop new and improved countermeasures for reducing road deaths and serious injuries on Australian roads.
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    Funded Activity

    Discovery Projects - Grant ID: DP140101653

    Funder
    Australian Research Council
    Funding Amount
    $171,277.00
    Summary
    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.
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    Funded Activity

    Discovery Projects - Grant ID: DP170103341

    Funder
    Australian Research Council
    Funding Amount
    $460,000.00
    Summary
    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.
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    Funded Activity

    Discovery Projects - Grant ID: DP180101529

    Funder
    Australian Research Council
    Funding Amount
    $94,199.00
    Summary
    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.
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    Funded Activity

    Linkage Projects - Grant ID: LP120100343

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    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.
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    Funded Activity

    Linkage Projects - Grant ID: LP100200197

    Funder
    Australian Research Council
    Funding Amount
    $347,406.00
    Summary
    A systemic model to underpin enhanced management of powered-two-wheelers as part of a safe, sustainable transport system. Better management of motor scooters and motorbikes (Powered-2-wheelers or P2W) will deliver economic, environmental and social benefits. Road crashes involving P2Ws cost the Australian community in excess of $2 billion per annum. There are also the broader social impacts for crash victims, their families and communities from the potentially long-term pain, grief and debilitat .... A systemic model to underpin enhanced management of powered-two-wheelers as part of a safe, sustainable transport system. Better management of motor scooters and motorbikes (Powered-2-wheelers or P2W) will deliver economic, environmental and social benefits. Road crashes involving P2Ws cost the Australian community in excess of $2 billion per annum. There are also the broader social impacts for crash victims, their families and communities from the potentially long-term pain, grief and debilitating injuries. This project will provide insight into how the incidence and costs associated with P2W crashes can be reduced. In addition, congestion costs in each of Australia's capital cities are on the order of $3 billion per annum and there is potential for P2W research to reduce not only that cost but also the broader environmental impacts of travel by providing an alternative to cars.
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    Funded Activity

    Discovery Projects - Grant ID: DP130104968

    Funder
    Australian Research Council
    Funding Amount
    $330,000.00
    Summary
    An innovative mechanism for optimising freeway traffic efficiency, safety, and sustainability via variable speed limit control. Congestion, safety, and emissions are three major traffic problems threatening the Australian economy. This project aims to develop a novel approach to collectively handle these problems for freeway traffic using variable speed limits (VSL). The project tasks address modelling, VSL controller design and automatic fine tuning of VSL controllers.
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    Showing 1-8 of 8 Funded Activites

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