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Socio-Economic Objective : Road Safety
Socio-Economic Objective : Road Infrastructure and Networks
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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

    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 1-4 of 4 Funded Activites

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