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Australian State/Territory : QLD
Socio-Economic Objective : Road safety
Field of Research : Transport Engineering
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  • Funded Activity

    Special Research Initiatives - Grant ID: SR0354488

    Funder
    Australian Research Council
    Funding Amount
    $10,000.00
    Summary
    Intelligent vehicles and road infrastructure (IVRI). The aims of the network are to integrate the activities of researchers and practitioners in the areas of vehicles and road infrastructure and through cross-disciplinary collaboration apply intelligent control systems to deliver mobility, which is safer for all users, reduces driver stress and environmental impact with increased local manufactured content and improved cost effectiveness. It is of great significance to provide a cohesive solutio .... Intelligent vehicles and road infrastructure (IVRI). The aims of the network are to integrate the activities of researchers and practitioners in the areas of vehicles and road infrastructure and through cross-disciplinary collaboration apply intelligent control systems to deliver mobility, which is safer for all users, reduces driver stress and environmental impact with increased local manufactured content and improved cost effectiveness. It is of great significance to provide a cohesive solution to the transport problem considering all modes, environmental impacts, and economical and social considerations. This project should lead to a report identifying Australia's capability in this sector and a roadmap for a future research network integrating university and industry based research.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0233830

    Funder
    Australian Research Council
    Funding Amount
    $350,000.00
    Summary
    Intelligent Transport and Vehicle Systems Research Laboratory. This proposal seeks funding to establish a world class Intelligent Transport and Vehicle Systems Research Laboratory. The Laboratory is aimed at developing and evaluating advanced traffic management and advanced vehicle technologies to improve the safety and efficiency of existing transport systems. The laboratory will comprise high-end computing and traffic simulation workstations with live real-time connections to a test-bed. The l .... Intelligent Transport and Vehicle Systems Research Laboratory. This proposal seeks funding to establish a world class Intelligent Transport and Vehicle Systems Research Laboratory. The Laboratory is aimed at developing and evaluating advanced traffic management and advanced vehicle technologies to improve the safety and efficiency of existing transport systems. The laboratory will comprise high-end computing and traffic simulation workstations with live real-time connections to a test-bed. The live link to the test-bed is a unique feature of the proposed facility. It will provide researchers with access to field data from sensors, videos and detectors to test prototypes of systems and evaluate their performance under live traffic conditions.
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    Funded Activity

    Linkage Projects - Grant ID: LP0348431

    Funder
    Australian Research Council
    Funding Amount
    $207,297.00
    Summary
    A Human Factors Approach to the Design of Visual Information in the Highway Environment. Visual information in the highway environment affects drivers' perception, behaviour, and accident propensity. Using a range of methods and approaches, issues of key importance in road design will be addressed, e.g. (1) how increasing visual clutter in the road environment affects accident-producing behaviour, (2) how certain road situations create particular problems for the increasing number of older drive .... A Human Factors Approach to the Design of Visual Information in the Highway Environment. Visual information in the highway environment affects drivers' perception, behaviour, and accident propensity. Using a range of methods and approaches, issues of key importance in road design will be addressed, e.g. (1) how increasing visual clutter in the road environment affects accident-producing behaviour, (2) how certain road situations create particular problems for the increasing number of older drivers, and (3) how the road environment can be redesigned to reduce fundamental perceptual errors made by drivers. The proposal will generate new guidelines for how future road design can be optimised to minimise crash rates.
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    Funded Activity

    Linkage Projects - Grant ID: LP0883807

    Funder
    Australian Research Council
    Funding Amount
    $423,585.00
    Summary
    Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy. The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will .... Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy. The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will be verified using available bridge datasets of QDMR and GCCC. The methodology is applicable to other bridge authorities throughout Australia and internationally to maintain ageing bridge stock.
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    Funded Activity

    Linkage Projects - Grant ID: LP0560564

    Funder
    Australian Research Council
    Funding Amount
    $200,000.00
    Summary
    Improving the visibility and safety of pedestrians, roadworkers and cyclists. Pedestrian and cyclist fatalities cost Australia ~$2 billion/year, accounting for a third of road users killed or seriously injured. Late visual recognition by motorists is the main reason these collisions occur. While visibility aids to improve pedestrian and cyclist conspicuity have been advocated, they have had limited success. We will use innovative driving measurement techniques to advance understanding of pedest .... Improving the visibility and safety of pedestrians, roadworkers and cyclists. Pedestrian and cyclist fatalities cost Australia ~$2 billion/year, accounting for a third of road users killed or seriously injured. Late visual recognition by motorists is the main reason these collisions occur. While visibility aids to improve pedestrian and cyclist conspicuity have been advocated, they have had limited success. We will use innovative driving measurement techniques to advance understanding of pedestrian and cyclist visibility and the effectiveness of different visibility aids for enhancing pedestrians and cyclist recognition. We will develop novel visibility aids to maximise pedestrian and cyclist conspicuity and evidence-based educational programs to improve the safety of vulnerable road users.
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    Funded Activity

    Linkage Projects - Grant ID: LP0209909

    Funder
    Australian Research Council
    Funding Amount
    $67,635.00
    Summary
    Drivers' Behavioural Responses to Traffic Signs. Traffic signs are ubiquitous in the road environment; research to improve their effectiveness can be very cost-effective in terms of safety improvements. Conducting traffic sign research on real roads has many difficulties, such as ethical considerations and lack of control. To overcome this, the research will be conducted in a driving simulator, in which the interaction between drivers and their equipment/environment will be studied. The aim of .... Drivers' Behavioural Responses to Traffic Signs. Traffic signs are ubiquitous in the road environment; research to improve their effectiveness can be very cost-effective in terms of safety improvements. Conducting traffic sign research on real roads has many difficulties, such as ethical considerations and lack of control. To overcome this, the research will be conducted in a driving simulator, in which the interaction between drivers and their equipment/environment will be studied. The aim of this project is to further understand drivers? behavioural responses to traffic signs, the expected outcome being to make the exchange of information between the driver and traffic sign as smooth and efficient as possible.
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    Funded Activity

    Linkage Projects - Grant ID: LP0990292

    Funder
    Australian Research Council
    Funding Amount
    $337,195.00
    Summary
    Using 'biological motion' to enhance the nighttime safety of road workers, cyclists, and pedestrians. Pedestrian and cyclist fatalities are a major road safety problem, accounting for a third of road fatalities at an estimated cost of $2.5 billion/year. Late recognition of pedestrians and cyclist by drivers is the main reason for these collisions. We have shown that innovative visibility designs which involve strategic placement of reflective markers on the moveable joints can greatly enhance vi .... Using 'biological motion' to enhance the nighttime safety of road workers, cyclists, and pedestrians. Pedestrian and cyclist fatalities are a major road safety problem, accounting for a third of road fatalities at an estimated cost of $2.5 billion/year. Late recognition of pedestrians and cyclist by drivers is the main reason for these collisions. We have shown that innovative visibility designs which involve strategic placement of reflective markers on the moveable joints can greatly enhance visibility and hence safety of these vulnerable road users. We will extend this research to incorporate evaluation of these visibility solutions in real-world environments and encourage the widespread use of these designs in the real-world through education and policy change.
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    Funded Activity

    Linkage Projects - Grant ID: LP0233238

    Funder
    Australian Research Council
    Funding Amount
    $112,725.00
    Summary
    Assessing the full impacts of high efficiency heavy vehicles in urban traffic networks using new analytical tools. Significant economic benefits result from new innovative heavy vehicles, which are able to carry up to twice the payload of standard semi-trailers. In addition, those vehicles have the potential to reduce overall accidents and evironmental degradation. Those benefits need to be traded-off against the impacts on other road users. This research will improve the operation of such ve .... Assessing the full impacts of high efficiency heavy vehicles in urban traffic networks using new analytical tools. Significant economic benefits result from new innovative heavy vehicles, which are able to carry up to twice the payload of standard semi-trailers. In addition, those vehicles have the potential to reduce overall accidents and evironmental degradation. Those benefits need to be traded-off against the impacts on other road users. This research will improve the operation of such vehicles in regional centres by producing: (1) an assessment methodology to deal with options for network efficiency gains which will capture the full impacts; and (2) a computer modelling tool based on fundamental research to quantify those impacts, in terms of delays and accident rates.
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