Industrial Transformation Research Hubs - Grant ID: IH180100010
Funder
Australian Research Council
Funding Amount
$4,918,357.00
Summary
ARC Research Hub for Smart Next Generation Transport Pavements. The ARC Research Hub for Smart Next Generation Transport Pavements aims to make road, airport and dockyard pavements smart, low cost, long-lasting, safe, green and adaptable to future transport demands. Australia’s road network, upon which the nation depends for its economic and social prosperity, is at risk due to increases in passenger and freight load degradation of the road network, and material and expertise scarcity. The Hub w ....ARC Research Hub for Smart Next Generation Transport Pavements. The ARC Research Hub for Smart Next Generation Transport Pavements aims to make road, airport and dockyard pavements smart, low cost, long-lasting, safe, green and adaptable to future transport demands. Australia’s road network, upon which the nation depends for its economic and social prosperity, is at risk due to increases in passenger and freight load degradation of the road network, and material and expertise scarcity. The Hub will deliver new materials and modelling, smart construction, and rehabilitation systems required for future demands, while enhancing road safety and reducing environmental impact.
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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.
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.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100205
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Optimisation of transit priority in a transportation network. This project is aimed at developing an optimised approach to combine various types of public transport priority in an urban network which can be used by transport planners to increase the efficiency of traffic movements and reduce traffic congestion. The case study is the network of Brisbane including all arterial and local roads.
Proactive detection of motor vehicle crash black spots based on their underlying behavioural, engineering, and spatially related causes. Road traffic crashes are responsible for about 1400 fatalities and 32,500 injuries on Australian roadways each year. A significant research opportunity exists to fundamentally rethink how the profession quantitatively identifies black spots on the transport network. The first project aim is to develop, test, and validate an evidence based methodology to proacti ....Proactive detection of motor vehicle crash black spots based on their underlying behavioural, engineering, and spatially related causes. Road traffic crashes are responsible for about 1400 fatalities and 32,500 injuries on Australian roadways each year. A significant research opportunity exists to fundamentally rethink how the profession quantitatively identifies black spots on the transport network. The first project aim is to develop, test, and validate an evidence based methodology to proactively detect motor vehicle crash black spots. The second aim is decompose (statistically) observed crashes at a site into their engineering, behavioural, and unobserved spatial components. The new methods combined will lead to fundamentally novel insights and knowledge regarding transport network safety management, in turn leading to reductions in the Australian road toll.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101079
Funder
Australian Research Council
Funding Amount
$426,241.00
Summary
Safe distractions? Taking the danger out of competing activities. Distracted driving is an increasing safety concern in Australia and worldwide. Smartphones play key roles in today’s professional and social contexts and current road safety policies based on stopping their use while driving have shown little success. Distraction is predicted to be an even greater issue in new semi-automated vehicles. This project proposes an innovative approach that will enable safe engagement in competing tasks ....Safe distractions? Taking the danger out of competing activities. Distracted driving is an increasing safety concern in Australia and worldwide. Smartphones play key roles in today’s professional and social contexts and current road safety policies based on stopping their use while driving have shown little success. Distraction is predicted to be an even greater issue in new semi-automated vehicles. This project proposes an innovative approach that will enable safe engagement in competing tasks while driving non-automated and semi-automated vehicles. The outcomes will underpin the development of new technologies to reduce the potential adverse effects of these distractions and thus reduce deaths and serious injuries, representing significant cost savings to the health system and the community.Read moreRead less
Asset Intelligence: Maximising Operational Effectiveness for Digital Era . The primary aim of this project is to develop an innovative lifecycle semantic–based decision making approach through asset intelligence so as to maximize the operational effectiveness maintenance, repair and rehabilitation planning of infrastructure assets, such as concrete pavement. The research intends to address an important gap by providing logical formalisms and real-time capability to life-cycle asset information t ....Asset Intelligence: Maximising Operational Effectiveness for Digital Era . The primary aim of this project is to develop an innovative lifecycle semantic–based decision making approach through asset intelligence so as to maximize the operational effectiveness maintenance, repair and rehabilitation planning of infrastructure assets, such as concrete pavement. The research intends to address an important gap by providing logical formalisms and real-time capability to life-cycle asset information through computational intelligence. The expected outcome will be an intelligent asset management platform that provides structured and semantically enriched lifecycle asset information for optimised solutions to help reduce the cost, time and effort in asset information storage and retrieval, and decision-making. Read moreRead less
Bridge performance assessment through advanced sensing and modelling. Bridge performance assessment through advanced sensing and modelling. This project aims to create cyber infrastructure to manage and maintain civil infrastructure, specifically bridges. Current sensor data interpretation approaches are not good at assessing the performance of civil infrastructure or evaluating the reserve capacity; in particular, they do not adequately account for high levels of systematic modelling uncertaint ....Bridge performance assessment through advanced sensing and modelling. Bridge performance assessment through advanced sensing and modelling. This project aims to create cyber infrastructure to manage and maintain civil infrastructure, specifically bridges. Current sensor data interpretation approaches are not good at assessing the performance of civil infrastructure or evaluating the reserve capacity; in particular, they do not adequately account for high levels of systematic modelling uncertainties. This project intends to ease the current scientific data interpretation bottleneck. Expected outcomes are better infrastructure management and maintenance planning, fewer redundant interventions, modified infrastructure and improved future design.Read moreRead less
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.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100028
Funder
Australian Research Council
Funding Amount
$300,000.00
Summary
A national facility for in situ testing of soft soils. A mobile in situ testing laboratory will permit the investigation of devices for measuring geotechnical conditions on soft and swampy sites which are often being encountered on key infrastructure projects. The new facility will improve the modelling and testing of soft soils and ensure the safe and economic development of Australian infrastructure.