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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0228900
Funder
Australian Research Council
Funding Amount
$603,000.00
Summary
Testing facility for heavily loaded bridge and barrier systems. Government and industry are increasing truck masses from current single articulated 42.5 tonne trucks to 160 tonne multi-bogie trucks. This will provide Australia with over $1 billion of potential benefits and an efficient and competitive transport industry. To capture these benefits and further progress Australia's economy, considerable collaborative research on a number of fronts must be carried out investigating how bridges and b ....Testing facility for heavily loaded bridge and barrier systems. Government and industry are increasing truck masses from current single articulated 42.5 tonne trucks to 160 tonne multi-bogie trucks. This will provide Australia with over $1 billion of potential benefits and an efficient and competitive transport industry. To capture these benefits and further progress Australia's economy, considerable collaborative research on a number of fronts must be carried out investigating how bridges and barriers can perform safely when subjected to very heavy traffic and impact loads under laboratory and typical service conditions. This application seeks funds for establishing a unique hi-tech testing facility in Australia vital for advancing such infrastructure technology.Read moreRead less
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: DE220100763
Funder
Australian Research Council
Funding Amount
$403,300.00
Summary
Multiscale modelling of fluid–particle transport in porous media. The aim is to use a multiscale approach to rigorously model fluid–particle transport in porous media – a fundamental process in many engineering problems. With advanced parallel-computing tools, a microscale model is developed to incorporate interacting grains, water, and particles. The model and innovative upscaling methods will transform our understanding of mechanisms, and allow development of predictive models for particle tra ....Multiscale modelling of fluid–particle transport in porous media. The aim is to use a multiscale approach to rigorously model fluid–particle transport in porous media – a fundamental process in many engineering problems. With advanced parallel-computing tools, a microscale model is developed to incorporate interacting grains, water, and particles. The model and innovative upscaling methods will transform our understanding of mechanisms, and allow development of predictive models for particle transport in both steady and unsteady porous flows. The fundamental knowledge and new-generation numerical models will support technological advances to directly benefit rail and road construction and their maintenance, fuel and renewable-energy extraction, coastal soil and water protection, and bushfire control.Read moreRead less
Motorway management system integrating safety, efficiency & sustainability. This project aims to develop a motorway management system that holistically optimises motorway safety, efficiency, and sustainability via intervening the traffic flow dynamics. In the current practice of motorway traffic flow management, safety, efficiency, and sustainability are fundamentally connected but separately managed as they are modeled by distinct methodologies. The new system is based on a proposed traffic flo ....Motorway management system integrating safety, efficiency & sustainability. This project aims to develop a motorway management system that holistically optimises motorway safety, efficiency, and sustainability via intervening the traffic flow dynamics. In the current practice of motorway traffic flow management, safety, efficiency, and sustainability are fundamentally connected but separately managed as they are modeled by distinct methodologies. The new system is based on a proposed traffic flow theory which includes a microscopic model for safety analysis and a derived macroscopic model for efficiency and sustainability analysis. This theory can be used to resolve the above-mentioned long unsettled challenge and significantly improve our motorway performance.Read moreRead less
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.
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
Traffic microsimulation of ITS implementations in CBD road networks. This research project will investigate the advantages and disadvantages of using Intelligent Transport Systems (ITS) technologies in an Australian Central Business District (CBD) environment. It is often assumed that road networks and especially high activity areas such as CBDs can benefit significantly from ITS implementations. Traditionally ITS impacts have been difficult to quantify due to difficulties in isolating network ....Traffic microsimulation of ITS implementations in CBD road networks. This research project will investigate the advantages and disadvantages of using Intelligent Transport Systems (ITS) technologies in an Australian Central Business District (CBD) environment. It is often assumed that road networks and especially high activity areas such as CBDs can benefit significantly from ITS implementations. Traditionally ITS impacts have been difficult to quantify due to difficulties in isolating network effects and limitations with traditional traffic models. The project will overcome this difficulty by using a current state of the art traffic microsimulation model in order to test various ITS scenarios in a duplicate of a real world CBD.Read moreRead less
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. Read moreRead less