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Australian State/Territory : QLD
Research Topic : Road Safety
Socio-Economic Objective : Rail Safety
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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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    Funded Activity

    Discovery Projects - Grant ID: DP180100806

    Funder
    Australian Research Council
    Funding Amount
    $387,756.00
    Summary
    Next-gen accident prevention: a new theory and toolkit for safer systems. This project aims to address limitations associated with existing accident causation theory and methodologies. Accident prevention across high risk industries is constrained by limitations in accident theory and methodologies. As a result, reductions in injuries and fatalities in most domains are plateauing. The expected outputs of the project include a new theory of accident causation, a new proactive risk assessment meth .... Next-gen accident prevention: a new theory and toolkit for safer systems. This project aims to address limitations associated with existing accident causation theory and methodologies. Accident prevention across high risk industries is constrained by limitations in accident theory and methodologies. As a result, reductions in injuries and fatalities in most domains are plateauing. The expected outputs of the project include a new theory of accident causation, a new proactive risk assessment methodology and a new methodology for analysing accidents. This will provide organisations and researchers with a powerful framework for enhanced accident analysis and prevention activities. This will provide significant benefits, associated with reductions in accidents, injuries and fatalities.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200103570

    Funder
    Australian Research Council
    Funding Amount
    $424,829.00
    Summary
    'Just right' job design: A new model using the Goldilocks paradigm. This proposal will generate new knowledge about designing jobs with the right amount of human movement. Prolonged sitting is now a serious work hazard that contributes to cardiovascular risk and obesity. The high incidence of these conditions in many work systems, such as rail, also presents a critical safety hazard due to threat of sudden incapacity while driving. Expected project outcomes are a ‘Just Right’ Job Design model sh .... 'Just right' job design: A new model using the Goldilocks paradigm. This proposal will generate new knowledge about designing jobs with the right amount of human movement. Prolonged sitting is now a serious work hazard that contributes to cardiovascular risk and obesity. The high incidence of these conditions in many work systems, such as rail, also presents a critical safety hazard due to threat of sudden incapacity while driving. Expected project outcomes are a ‘Just Right’ Job Design model showing how tasks can be designed to enhance safety and health while maintaining productivity, and in the unlikeliest of workplaces. This will provide significant benefits for the many working Australians whose safety and health are compromised by exposure to prolonged sitting in seemingly intractable environments.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP160100910

    Funder
    Australian Research Council
    Funding Amount
    $450,000.00
    Summary
    Preventing railway suicide: An open-systems perspective. Preventing railway suicide: An open-systems perspective. This project aims to develop an automated suicide risk detection system to reduce the incidence and impact of railway suicide, which has a devastating effect on victims’ families, station staff, train drivers, emergency workers, and bystanders. This project will use open-systems theory to develop two complementary information systems for more effective detection and reporting of suic .... Preventing railway suicide: An open-systems perspective. Preventing railway suicide: An open-systems perspective. This project aims to develop an automated suicide risk detection system to reduce the incidence and impact of railway suicide, which has a devastating effect on victims’ families, station staff, train drivers, emergency workers, and bystanders. This project will use open-systems theory to develop two complementary information systems for more effective detection and reporting of suicide risk; use these systems to investigate how different situational factors interact with different combinations of service interventions to influence suicide risk; and share the findings to reduce railway suicide in Australia and overseas.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE160101137

    Funder
    Australian Research Council
    Funding Amount
    $373,536.00
    Summary
    The whole is greater than its parts: Improving rail safety through teamwork. This project seeks to develop a train driving risk model that includes human factors, to enable rail organisations to better identify and mitigate safety risks. Train driving is a cognitively demanding task in which errors can quickly lead to catastrophic consequences. Signals passed at danger (SPADs) occur when a train goes past a red light. Despite significant investment in better signalling and communications infrast .... The whole is greater than its parts: Improving rail safety through teamwork. This project seeks to develop a train driving risk model that includes human factors, to enable rail organisations to better identify and mitigate safety risks. Train driving is a cognitively demanding task in which errors can quickly lead to catastrophic consequences. Signals passed at danger (SPADs) occur when a train goes past a red light. Despite significant investment in better signalling and communications infrastructure, SPAD rates remain unacceptably high and are projected to rise. SPAD risk is currently managed with a retrospective approach that fails to consider non-technical human factors such as time pressure, workload and team communications. By including non-technical dimensions, this project seeks to develop a comprehensive model to explain and prevent SPADs.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE210100273

    Funder
    Australian Research Council
    Funding Amount
    $407,679.00
    Summary
    Supercomputing to understand track buckling and related train derailments. This project aims to understand the contributions of railway train forces to a dangerous and high-cost track dynamic behaviour called buckling; by developing a supercomputing method that unlocks the capability for large-scale 3D train-track interaction research for railway trains of up to 250 vehicles. This project expects to generate new knowledge regarding track buckling, train derailments and train-track dynamics. Expe .... Supercomputing to understand track buckling and related train derailments. This project aims to understand the contributions of railway train forces to a dangerous and high-cost track dynamic behaviour called buckling; by developing a supercomputing method that unlocks the capability for large-scale 3D train-track interaction research for railway trains of up to 250 vehicles. This project expects to generate new knowledge regarding track buckling, train derailments and train-track dynamics. Expected outcomes include a new supercomputing method for train-track dynamics and derailment research and a science-based technique to assess track buckling safety. This project should provide significant benefits to the rail industry including enhanced rail safety, lower maintenance costs and improved transport efficiency.
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    Funded Activity

    Linkage Projects - Grant ID: LP130101100

    Funder
    Australian Research Council
    Funding Amount
    $234,000.00
    Summary
    Faster, cheaper, safer: how to accelerate rail driver training and avert the looming skills shortage. The Australian rail industry is growing rapidly and needs to double the number of drivers trained in order to meet demand. This project will bring together Australia's leading hi-tech simulator company and Australia's leading rail human factors research team to 'reinvent' driver training technologies and techniques for the 21st century.
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    Showing 1-7 of 7 Funded Activites

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