Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural tra ....Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural transport. Expected primary outputs include algorithms, a detailed analysis of required systems and recommendations that will help prepare Australia for the importation of self-driving vehicles.Read moreRead less
Containment and Reduction of Rework in Transport Mega Projects. Mega transport projects (>$1 billion) are poorly managed during their construction with significant cost and schedule overruns and benefit shortfalls regularly being experienced. Having to perform rework has been identified as a major factor that contributes to these unintended consequences. As there has been limited research that has empirically examined rework causation, an inability to develop effective rework containment and red ....Containment and Reduction of Rework in Transport Mega Projects. Mega transport projects (>$1 billion) are poorly managed during their construction with significant cost and schedule overruns and benefit shortfalls regularly being experienced. Having to perform rework has been identified as a major factor that contributes to these unintended consequences. As there has been limited research that has empirically examined rework causation, an inability to develop effective rework containment and reduction strategies prevails. This research aims to develop a theoretical model that can be used to develop robust containment and reduction strategies to mitigate the adverse economic, productivity and safety consequences that materialize from performing rework during the construction of mega transport projects.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
Defense against adversarial attacks on deep learning in computer vision. Computer vision applications rely heavily on deep learning, which is highly vulnerable to being fooled by adding subtle perturbations to object/image textures that are imperceptible to humans. This project aims to develop defense mechanisms to detect and remove adversarial patterns from the input images. The project expects to advance knowledge in understanding the vulnerabilities of deep learning, and to design deep learni ....Defense against adversarial attacks on deep learning in computer vision. Computer vision applications rely heavily on deep learning, which is highly vulnerable to being fooled by adding subtle perturbations to object/image textures that are imperceptible to humans. This project aims to develop defense mechanisms to detect and remove adversarial patterns from the input images. The project expects to advance knowledge in understanding the vulnerabilities of deep learning, and to design deep learning architectures that are inherently robust. The outcomes of this project will increase the security and reliability of computer vision by detecting, reporting and nullifying such attacks and will benefit the general public and industry on many fronts.Read moreRead less
Robust and Explainable 3D Computer Vision. Computer vision is increasingly relying on deep learning which is fragile, opaque and fails catastrophically without warning. This project aims to address these problems by developing new theory in graph representation of 3D geometric and image data, hierarchical graph simplification and novel modules designed specifically for deep learning over geometric graphs. Using these modules, it aims to design graph convolutional network architectures for self-s ....Robust and Explainable 3D Computer Vision. Computer vision is increasingly relying on deep learning which is fragile, opaque and fails catastrophically without warning. This project aims to address these problems by developing new theory in graph representation of 3D geometric and image data, hierarchical graph simplification and novel modules designed specifically for deep learning over geometric graphs. Using these modules, it aims to design graph convolutional network architectures for self-supervised learning that are robust to failures and provide explainable decisions for object detection and scene segmentation. The outcomes are expected to advance theory in robust deep learning and benefit 3D mapping, surveying, infrastructure monitoring, transport and robotics industries.Read moreRead less
Crowd tracking and visual analytics for rapidly deployable imaging devices. Crowd tracking and visual analytics for rapidly deployable imaging devices. This project aims to develop visual analytics technology that adds machine intelligence to a rapidly deployable time-lapse imaging platform. Such devices can operate on solar and wind power, and be remotely programmed (via a cellular network) to take photos and send them to a server at given times. This project, which focuses on monitoring crowds ....Crowd tracking and visual analytics for rapidly deployable imaging devices. Crowd tracking and visual analytics for rapidly deployable imaging devices. This project aims to develop visual analytics technology that adds machine intelligence to a rapidly deployable time-lapse imaging platform. Such devices can operate on solar and wind power, and be remotely programmed (via a cellular network) to take photos and send them to a server at given times. This project, which focuses on monitoring crowds of objects of interest, is expected to introduce “smart” imaging platforms that could be triggered and shoot high-quality photographs when “events of interest” occur. This project could make Australia both a world leader in video analytics and secure through on-line threat detection, and improve traffic control and agriculture.Read moreRead less
IMPACTS OF TRANSIT LED DEVELOPMENT IN A NEW RAIL CORRIDOR. Impacts of transit-oriented development (TOD) in precincts adjoining the new Perth-Mandurah railway will be addressed by longitudinal survey. Results of a revealed preference questionnaire about actual trips will be combined with a stated choice questionnaire. Aims are to quantify the effects of TOD on rail and car use and on daily activities, new railway services on the travel behaviour of households near new station precincts, differin ....IMPACTS OF TRANSIT LED DEVELOPMENT IN A NEW RAIL CORRIDOR. Impacts of transit-oriented development (TOD) in precincts adjoining the new Perth-Mandurah railway will be addressed by longitudinal survey. Results of a revealed preference questionnaire about actual trips will be combined with a stated choice questionnaire. Aims are to quantify the effects of TOD on rail and car use and on daily activities, new railway services on the travel behaviour of households near new station precincts, differing accessibility of station precincts on household travel patterns, improved accessibility on economic activity and employment. Replacement of car-trips by walking and cycling, changes in shopping & leisure activities & the effect of trip-chaining on number of trips are of particular interest.Read moreRead less
Analysis and modeling of driving patterns for limited-range electric vehicles. The electrification of the personal transport sector seems to be only a matter of time. It is important to study and model the effects of this sector now, in order to recommend decision makers on issues like standardization and infrastructure planning. Understanding and being able to predict EV driving and charging patterns will allow us to provide planning assistance for:
· Effects of day-time dependent energy pri ....Analysis and modeling of driving patterns for limited-range electric vehicles. The electrification of the personal transport sector seems to be only a matter of time. It is important to study and model the effects of this sector now, in order to recommend decision makers on issues like standardization and infrastructure planning. Understanding and being able to predict EV driving and charging patterns will allow us to provide planning assistance for:
· Effects of day-time dependent energy pricing structure on EV charging behavior
· Optimal energy pricing to encourage off-peak charging
· Optimal number and location of EV charging stations
· Expected uptake of PHEV/EVs depending on petrol, electricity and conversion cost
· Expected additional energy demand for EVs and PHEVs with day-time energy usage pattern
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Safer cycling and the urban road environment. This project aims to improve the safety of cyclists while maintaining mobility in the urban road environment. By focusing on the safety of one of the most vulnerable road user groups the safety gains will benefit all road users. New urban road designs will be evaluated using Australia's first cycling simulator.
Using visual science to reduce the dangers of night driving. This project aims to develop novel tests of visual function relevant to the modern night driving environment. Night driving is challenging for all drivers and has been linked to poor visibility under low light conditions. This project will characterise the visual challenges of the modern night driving environment, develop visual tests that incorporate the dynamic light levels typical of night-time roads and assess the association of th ....Using visual science to reduce the dangers of night driving. This project aims to develop novel tests of visual function relevant to the modern night driving environment. Night driving is challenging for all drivers and has been linked to poor visibility under low light conditions. This project will characterise the visual challenges of the modern night driving environment, develop visual tests that incorporate the dynamic light levels typical of night-time roads and assess the association of these tests with night driving performance. The outcomes will contribute new knowledge regarding dynamic visual processing and the ageing visual system and will inform vision testing, potential interventions to improve visual function for night driving and reduce the dangers of night driving.Read moreRead less