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
The Safer Scooting Study. E-scooters are a new transport option experiencing rapid uptake, but many people are concerned about their safety. This project aims to provide an understanding of how and why people use e-scooters and how rider behaviour and safety outcomes change with experience. The anticipated goal of this project is to harness the potential benefits of e-scooters as an efficient replacement for short car trips and a way of improving access to public transport, while minimising the ....The Safer Scooting Study. E-scooters are a new transport option experiencing rapid uptake, but many people are concerned about their safety. This project aims to provide an understanding of how and why people use e-scooters and how rider behaviour and safety outcomes change with experience. The anticipated goal of this project is to harness the potential benefits of e-scooters as an efficient replacement for short car trips and a way of improving access to public transport, while minimising the dangers to riders and pedestrians. This knowledge is expected to inform governments at all levels, industry and riders on how to optimise e-scooter design, use and regulation to contribute to improvements in transport, health and environmental outcomes for all Australians.Read moreRead less
The future of shipping: achieving autonomous navigation. This project aims to develop autonomous decision systems and onshore control stations to support the design and operation of unmanned cargo ships. Blending observations, numerical models, virtual reality and machine learning, the project will develop algorithms for unsupervised navigation and embed these in an advanced ship simulator platform capable of responding to environmental conditions and optimising sea freight transport capabilitie ....The future of shipping: achieving autonomous navigation. This project aims to develop autonomous decision systems and onshore control stations to support the design and operation of unmanned cargo ships. Blending observations, numerical models, virtual reality and machine learning, the project will develop algorithms for unsupervised navigation and embed these in an advanced ship simulator platform capable of responding to environmental conditions and optimising sea freight transport capabilities. The expected outcomes will enable the integration of automated controls in ships, including remote-control capabilities. This will support Australia’s transition towards an autonomous shipping industry, delivering greater reliability, efficiency, productivity and safety.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
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
Novel test and design methods for base course reinforced flexible pavements. This project aims to develop the mechanics of geosynthetic-reinforced flexible pavements as an urgent need for the Australian pavement industry to build more sustainable and economical roads. Novel laboratory test apparatus and in-situ test programs, and mathematical models will be developed, for the first time, to capture the responses of reinforced base courses in a complete and optimised way to determine the paramete ....Novel test and design methods for base course reinforced flexible pavements. This project aims to develop the mechanics of geosynthetic-reinforced flexible pavements as an urgent need for the Australian pavement industry to build more sustainable and economical roads. Novel laboratory test apparatus and in-situ test programs, and mathematical models will be developed, for the first time, to capture the responses of reinforced base courses in a complete and optimised way to determine the parameters for pavement design and performance evaluation. The outcomes will enable reliable prediction of reinforced pavement behaviour, leading to better-performing geosynthetic products and more resilient pavements, reduced material usage and damage in pavements, and less environmental impact and maintenance cost.Read moreRead less
Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended ....Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended outcomes will be an innovative incident analysis and management framework synergising traffic data analytics and traffic simulation modelling as well as its key enabling techniques and prototype systems. This will significantly help mitigate incident impacts on daily commuters.Read moreRead less
Walk-quality: A multi-criteria design platform to facilitate active travel. This seminal cross-disciplinary study aims to combine key ‘walk-quality’ urban design factors: pedestrian accessibility, slope, thermal comfort, pedestrian risk, and pollution, into a design decision platform to enable systematic evaluation of precincts and test ‘what-if’ future scenarios.
With 60% of Australians not meeting recommended physical activity targets costing taxpayers billions of dollars annually, the projec ....Walk-quality: A multi-criteria design platform to facilitate active travel. This seminal cross-disciplinary study aims to combine key ‘walk-quality’ urban design factors: pedestrian accessibility, slope, thermal comfort, pedestrian risk, and pollution, into a design decision platform to enable systematic evaluation of precincts and test ‘what-if’ future scenarios.
With 60% of Australians not meeting recommended physical activity targets costing taxpayers billions of dollars annually, the project envisions development of acutely lacking spatio-temporal analysis and design tools to help prioritise urgently needed active transport infrastructure investment.
Anticipated ‘walk-quality’ improvements to facilitating active journeys have vital foreseeable community benefits through increased incidental physical activity.Read moreRead less