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Evaluation Of A Tailored Online Hospital And Post-discharge Smoking Cessation Program For Orthopaedic Trauma Surgery Patients
Funder
National Health and Medical Research Council
Funding Amount
$370,818.00
Summary
Smoking causes serious post-surgery complications and may lengthen recovery time. Hospitalisation is an ideal opportunity to encourage quitting to patients who smoke. We have found high rates of smoking among trauma surgery patients, and high interest to quit, yet few reported receiving advice to quit. We have designed an online quit support program for patients. The program is expected to help patients to quit smoking, leading to improvements in their recovery and general health.
Innovative urban traffic congestion solutions: optimising road space using networks of multi-class priority lanes. This project strengthens national approaches to a pervasive Australian problem; growing traffic congestion deteriorating liveability, environmental health and economic performance of the cities. This project improves approaches for traffic priority design to improve the efficiency of several class of vehicles and therefore, reducing traffic congestion.
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.Read moreRead less
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).Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100103
Funder
Australian Research Council
Funding Amount
$373,506.00
Summary
Understanding the automobility decisions of Australian millennials. The aim of this project is to understand the decision-making of young Australians regarding driver licensing and car travel. After decades of growth in car use, young adults are now becoming less likely to get a licence and drive cars. This reduction in car dependence provides an opportunity to reduce road deaths and injuries, road congestion and greenhouse gas emissions. Understanding how and why young adults make decisions abo ....Understanding the automobility decisions of Australian millennials. The aim of this project is to understand the decision-making of young Australians regarding driver licensing and car travel. After decades of growth in car use, young adults are now becoming less likely to get a licence and drive cars. This reduction in car dependence provides an opportunity to reduce road deaths and injuries, road congestion and greenhouse gas emissions. Understanding how and why young adults make decisions about their current and future car mobility could support this societal transformation and enhance sustainability and well-being.Read moreRead less
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.Read moreRead less
Occupant Protection in Far-side Crashes. Regulations and interventions to protect far-side occupants in side impact crashes do not currently exist, even though far-side occupants account for up to 40% of harm in real world side impact crashes. Through a comprehensive test schedule this research will develop an understanding of occupant biomechanics and injury mechanisms during far-side collisions. Current dummy bio-fidelity can then be assessed and improved, appropriate far-side test measures d ....Occupant Protection in Far-side Crashes. Regulations and interventions to protect far-side occupants in side impact crashes do not currently exist, even though far-side occupants account for up to 40% of harm in real world side impact crashes. Through a comprehensive test schedule this research will develop an understanding of occupant biomechanics and injury mechanisms during far-side collisions. Current dummy bio-fidelity can then be assessed and improved, appropriate far-side test measures developed, and recommendation for regulations made. It is anticipated that application of these test procedures will allow the development of innovative and world-leading far-side countermeasures that will ultimately improve vehicle occupant safety.Read moreRead less
Scalable urban traffic control framework driven by distributed information. This project aims to develop a mathematical framework for investigating the role of information interactions between traffic signal settings and choices made by road users. Traffic control is one of the oldest and most cost-effective solutions for the worsening congestion problem in many metropolitan areas. However, through addressing fundamental mathematical challenges, further gains can be achieved to improve traffic ....Scalable urban traffic control framework driven by distributed information. This project aims to develop a mathematical framework for investigating the role of information interactions between traffic signal settings and choices made by road users. Traffic control is one of the oldest and most cost-effective solutions for the worsening congestion problem in many metropolitan areas. However, through addressing fundamental mathematical challenges, further gains can be achieved to improve traffic control and combat congestion. The expected outcome will be insights into the use of information and algorithms that can provide efficient, robust and safe traffic network management.Read moreRead less
Understanding impact of autonomous vehicles on behaviour and interactions. Understanding impact of autonomous vehicles on behaviour and interactions. This project aims to explore three human factor issues critical to the successful deployment of automated vehicles: factors influencing driver choice of automated vehicle control; interactions between automated and manually controlled vehicles; and driver detection, recognition, and reaction to automated vehicle system failures. Automated vehicles ....Understanding impact of autonomous vehicles on behaviour and interactions. Understanding impact of autonomous vehicles on behaviour and interactions. This project aims to explore three human factor issues critical to the successful deployment of automated vehicles: factors influencing driver choice of automated vehicle control; interactions between automated and manually controlled vehicles; and driver detection, recognition, and reaction to automated vehicle system failures. Automated vehicles are predicted to be transformative, but their ultimate success and expected societal benefits will depend on drivers’ trust in them and on how people choose to use and interact with them. Insights from this research should prepare our society for more automated vehicles on the roadways.Read moreRead less
A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driv ....A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driving models. The project will lead to two innovations: in theory design an attack detection and prevention ecosystem for autonomous driving and in application implement a safety analysis toolset for industry-scale autonomous systems.Read moreRead less