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Scheme : Linkage Projects
Socio-Economic Objective : Road Safety
Australian State/Territory : SA
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  • 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 Projects - Grant ID: LP150100071

    Funder
    Australian Research Council
    Funding Amount
    $180,745.00
    Summary
    Cycle Aware: Driving with Bikes. This project focuses on the education and training required by drivers to interact safely with cyclists. It uses two ontologically diverse methodologies to examine how Australian drivers become cyclist aware and the education and training necessary to foster safe driver–cyclist interactions. The project aims to provide a critical knowledge base for state and territory driver education policies and a cycle-aware module for learner drivers. These outcomes are inten .... Cycle Aware: Driving with Bikes. This project focuses on the education and training required by drivers to interact safely with cyclists. It uses two ontologically diverse methodologies to examine how Australian drivers become cyclist aware and the education and training necessary to foster safe driver–cyclist interactions. The project aims to provide a critical knowledge base for state and territory driver education policies and a cycle-aware module for learner drivers. These outcomes are intended to reduce cyclist road trauma and on-road tensions between cyclists and drivers, and to improve opportunities for active travel to tackle the growing issue of inactivity.
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    Funded Activity

    Linkage Projects - Grant ID: LP140100252

    Funder
    Australian Research Council
    Funding Amount
    $361,087.00
    Summary
    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.
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    Funded Activity

    Linkage Projects - Grant ID: LP130100514

    Funder
    Australian Research Council
    Funding Amount
    $170,000.00
    Summary
    Safer roads through wireless communications. Each year, about 1,300 people die, and almost 30,000 are injured on Australian roads. Vehicle manufacturers are currently trialling innovative systems that will allow vehicles to wirelessly share their position and warn the driver of unsafe situations. This project will add new features to these systems, improving their safety benefits.
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    Showing 1-4 of 4 Funded Activites

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