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
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
Congestion management in key road networks of a major city through real time data collection, intelligent forecasting and real time routing. The project researches the issues for allowing Australian Road Traffic Authorities to automatically capture road traffic data, forecast traffic flows and smartly route traffic flows to avoid congestion on road networks. This will lead to several benefits, such as (a) reducing traffic congestion, shorten travel time and lower pollution, (b) better utilizati ....Congestion management in key road networks of a major city through real time data collection, intelligent forecasting and real time routing. The project researches the issues for allowing Australian Road Traffic Authorities to automatically capture road traffic data, forecast traffic flows and smartly route traffic flows to avoid congestion on road networks. This will lead to several benefits, such as (a) reducing traffic congestion, shorten travel time and lower pollution, (b) better utilization of existing road infrastructure by diffusing traffic to alternate routes, (c) provide economic benefit by allowing one to delay infrastructure expansion, (d) monitoring of aberrant behaviour by road users to ensure a safer road environment, and (e) improved flexibility in deployment of the Wireless Sensor Network to meet the needs of the road authorities and community.Read moreRead less
Hybrid Pile-Drain System to Stabilise Railways Built on Soft Soils. Australian coastal soils often pose significant challenges in the design and construction of railways. The project aims to develop a novel hybrid system of pipe piles & prefabricated vertical drains installed to prevent soft foundation soil (subgrade) from excessive yielding under prolonged cyclic loading by heavy-haul trains. Using large-scale physical model simulations and field trials supported by numerical analysis of soil-p ....Hybrid Pile-Drain System to Stabilise Railways Built on Soft Soils. Australian coastal soils often pose significant challenges in the design and construction of railways. The project aims to develop a novel hybrid system of pipe piles & prefabricated vertical drains installed to prevent soft foundation soil (subgrade) from excessive yielding under prolonged cyclic loading by heavy-haul trains. Using large-scale physical model simulations and field trials supported by numerical analysis of soil-pile-drain interaction mechanisms, this innovative concept will be examined to establish a user-friendly design methodology. For rail operators, the outcomes will generate substantially reduced maintenance costs, while extending the longevity of track infrastructure to ensure faster and heavier trains of the future. 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
iMATCH: Independent mobility, active travel and children's health. Policy interventions are used across Australia to improve children's independent mobility, to increase children's physical activity levels and social interaction, and to generate more sustainable travel behaviour, particularly for the journey to school. iMATCH provides a holistic and inter-disciplinary evaluation of policy interventions than is undertaken for most evaluations of school travel and children's travel behaviour polic ....iMATCH: Independent mobility, active travel and children's health. Policy interventions are used across Australia to improve children's independent mobility, to increase children's physical activity levels and social interaction, and to generate more sustainable travel behaviour, particularly for the journey to school. iMATCH provides a holistic and inter-disciplinary evaluation of policy interventions than is undertaken for most evaluations of school travel and children's travel behaviour policies and programs. By controlling for the influence of the built and social environment, the project will provide the necessary support to justify these policy interventions and to identify key improvements for their delivery, supporting more sustainable and healthy lifestyles for Australia's children.Read moreRead less
Onset Theory: Pushing the design envelope for textile composite structures. This study aims to exploit an innovative physics-based approach to predict the strength of textile composites. This is particularly important in areas such as aircraft design, where drastic weight savings are needed to allow designers to remain competitive in a low-carbon future. Improved theory and design tools will remove conservatism and account for a large part of these weight savings. The new approach is the first t ....Onset Theory: Pushing the design envelope for textile composite structures. This study aims to exploit an innovative physics-based approach to predict the strength of textile composites. This is particularly important in areas such as aircraft design, where drastic weight savings are needed to allow designers to remain competitive in a low-carbon future. Improved theory and design tools will remove conservatism and account for a large part of these weight savings. The new approach is the first to be consistent at all length scales — from atoms to aeroplanes — ensuring relevance for new and evolving composite material systems. A novel understanding of crack initiation in textile laminates is intended to reduce design and certification effort for new aircraft and help to design more efficient airframes at a lower cost.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
The Australian naturalistic driving study: innovation in road safety research and policy. A revolutionary new approach, the naturalistic driving study, will investigate what people actually do when they drive, in normal and safety-critical situations. It will provide Australia with answers to some intractable, high priority, road safety problems that cannot be answered using current methods, thereby saving hundreds of lives.