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Australian State/Territory : QLD
Scheme : Linkage Projects
Socio-Economic Objective : Road Safety
Australian State/Territory : VIC
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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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    Active Funded Activity

    Linkage Projects - Grant ID: LP210100240

    Funder
    Australian Research Council
    Funding Amount
    $298,811.00
    Summary
    The Safer Scooting Study. E-scooters are a new transport option experiencing rapid uptake, but many people are concerned about their safety. This project aims to provide an understanding of how and why people use e-scooters and how rider behaviour and safety outcomes change with experience. The anticipated goal of this project is to harness the potential benefits of e-scooters as an efficient replacement for short car trips and a way of improving access to public transport, while minimising the .... The Safer Scooting Study. E-scooters are a new transport option experiencing rapid uptake, but many people are concerned about their safety. This project aims to provide an understanding of how and why people use e-scooters and how rider behaviour and safety outcomes change with experience. The anticipated goal of this project is to harness the potential benefits of e-scooters as an efficient replacement for short car trips and a way of improving access to public transport, while minimising the dangers to riders and pedestrians. This knowledge is expected to inform governments at all levels, industry and riders on how to optimise e-scooter design, use and regulation to contribute to improvements in transport, health and environmental outcomes for all Australians.
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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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    Active Funded Activity

    Linkage Projects - Grant ID: LP200301389

    Funder
    Australian Research Council
    Funding Amount
    $746,657.00
    Summary
    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).
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    Funded Activity

    Linkage Projects - Grant ID: LP100200387

    Funder
    Australian Research Council
    Funding Amount
    $560,000.00
    Summary
    Application of contemporary systems-based methods to reduce trauma at rail level crossings. Crashes at railway level crossings continue to cause significant trauma across Australia. Despite being a longstanding safety problem, the design and operation of level crossings has not changed considerably for decades. This research will provide an in-depth understanding of road user, environmental and infrastructure-related factors that influence safety and performance at rail level crossings. This wil .... Application of contemporary systems-based methods to reduce trauma at rail level crossings. Crashes at railway level crossings continue to cause significant trauma across Australia. Despite being a longstanding safety problem, the design and operation of level crossings has not changed considerably for decades. This research will provide an in-depth understanding of road user, environmental and infrastructure-related factors that influence safety and performance at rail level crossings. This will be used to develop a world-first model of the level crossing system that is needed to support the development of innovative countermeasures that will improve safety. Reductions in the levels of significant trauma at level crossings, and new public policy for level crossing upgrades, are the intended real-world outcomes.
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