Stable on-demand optimization for workforce and fleet logistics management. This project aims to conceive, develop and deploy innovative methodologies for stable on-demand workforce management and fleet logistics based on advanced decision-support systems. The outcome of this project will provide a new cloud-based real-time Optimisation Software-as-a-Service (OSaaS) platform that allows businesses to improve their productivity while reducing operating costs and their environmental footprint. Thi ....Stable on-demand optimization for workforce and fleet logistics management. This project aims to conceive, develop and deploy innovative methodologies for stable on-demand workforce management and fleet logistics based on advanced decision-support systems. The outcome of this project will provide a new cloud-based real-time Optimisation Software-as-a-Service (OSaaS) platform that allows businesses to improve their productivity while reducing operating costs and their environmental footprint. This is expected to support the manufacturing, retail, delivery and mobile fleets industries.Read moreRead less
A Road Out of Motion Sickness in Autonomous Vehicles. Autonomous vehicles have found to provide significant improvements in safety and efficiency, as well as the potential to comfortably engage in other activities including work and entertainment. Motion sickness is particularly a significant source of concern in this regard, with factors ranging from demographics, vehicle kinematics to in-vehicle designs affecting the likelihood of discomfort. This study aims to (1) understanding factors induci ....A Road Out of Motion Sickness in Autonomous Vehicles. Autonomous vehicles have found to provide significant improvements in safety and efficiency, as well as the potential to comfortably engage in other activities including work and entertainment. Motion sickness is particularly a significant source of concern in this regard, with factors ranging from demographics, vehicle kinematics to in-vehicle designs affecting the likelihood of discomfort. This study aims to (1) understanding factors inducing motion sickness in AVs (2) Evaluating individuals’ preferences between comfort and travel attributes (including in-vehicle tasks) (3) Develop and evaluate mitigation strategies for motion sickness in AVs. Insights from this research will help improve adoption of automated vehicles on the roadways.
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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
Innovative Magnetorheological Powertrains for Electric Heavy Duty Vehicles. An electric vehicle powertrain mainly consists of an electric motor-driven system, a mechanical transmission and other components. This project aims to explore innovative powertrains with a regenerative braking function to maximise driving range, reduce power consumption, and enhance the dynamic performance of electrified vehicles. The proposed powertrains are expected to achieve seamless gear changing for driving and be ....Innovative Magnetorheological Powertrains for Electric Heavy Duty Vehicles. An electric vehicle powertrain mainly consists of an electric motor-driven system, a mechanical transmission and other components. This project aims to explore innovative powertrains with a regenerative braking function to maximise driving range, reduce power consumption, and enhance the dynamic performance of electrified vehicles. The proposed powertrains are expected to achieve seamless gear changing for driving and better braking performance by applying magnetorheological technology for a high-quality control of power-shifting, and therefore significantly improve vehicle dynamic and economic performance. A new era of high-efficiency electric powertrains could potentially be launched through the development of these novel technologies.Read moreRead less
Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-po ....Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-powered logistics vehicles are a major contributor. However, converting these trucks to LNG requires strong evidence to convince logistics companies of the benefits of shifting to green logistics. An increase in logistics productivity is expected to increase Australia’s gross domestic product by $2 billion, while this research should also provide vital data on sustainability issues and LNG conversions.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
Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely ....Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely diagnostics and prognostics and innovative proactive control measures that mitigate their impact on autonomous driving quality and safety. The expected benefits for the automotive industry and end-users include increased safety and reliability of steering systems, and higher confidence in autonomous driving.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
Ship response under corrosion, fatigue and complex sea-state environments. This project will improve understanding of the gradual deterioration of ships and maritime structures subject to metal corrosion, fatigue and extreme sea-state conditions. Increasingly such understanding is necessary for optimal asset management decisions. These include the potential economic, personnel and other risks involved for ship owners and operators, including the Royal Australian Navy (RAN). The project will use ....Ship response under corrosion, fatigue and complex sea-state environments. This project will improve understanding of the gradual deterioration of ships and maritime structures subject to metal corrosion, fatigue and extreme sea-state conditions. Increasingly such understanding is necessary for optimal asset management decisions. These include the potential economic, personnel and other risks involved for ship owners and operators, including the Royal Australian Navy (RAN). The project will use numerical simulation. It will tackle the Fluid-Structure Interaction problem of ships in waves by integrating Finite Element structural response analysis with cutting-edge Smoothed Particle Hydrodynamics methods. The outcomes will provide new insight into remaining asset life and for exploring optimal maintenance strategiesRead 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