Linkage Infrastructure, Equipment And Facilities - Grant ID: LE240100118
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
The National Cycling Data and Analysis Platform (NCDAP) . A National Cycling Data and Analytics Platform to collect, integrate and communicate new and historic data on cycling infrastructure, attitudes, and behaviours. This project will address the significant issue of data fragmentation, pilot a national cycling survey, and develop a cycling toolkit to allow exploring and testing various cycling infrastructure scenarios. The platform will provide an open access e-Infrastructure to enable tracki ....The National Cycling Data and Analysis Platform (NCDAP) . A National Cycling Data and Analytics Platform to collect, integrate and communicate new and historic data on cycling infrastructure, attitudes, and behaviours. This project will address the significant issue of data fragmentation, pilot a national cycling survey, and develop a cycling toolkit to allow exploring and testing various cycling infrastructure scenarios. The platform will provide an open access e-Infrastructure to enable tracking social and cultural changes that influence transport choices, create effective behaviour change programs and prioritise cycling infrastructure investment. This project will contribute to healthier lifestyles, reduced traffic congestion and emissions and energy efficiency of Australia’s transport sector.Read moreRead less
A Scenario Planning Tool - Improving the Bikeability of Our Cities. This project aims to produce a data framework and interactive planning support tool, in collaboration with Australian government agencies, to explore various bicycle infrastructure scenarios and assess their potential impacts. This will be a game changer for the transport sector, as the lack of data-driven approaches focused on active mobility has restricted the development of evidence-based business cases for cycling infrastruc ....A Scenario Planning Tool - Improving the Bikeability of Our Cities. This project aims to produce a data framework and interactive planning support tool, in collaboration with Australian government agencies, to explore various bicycle infrastructure scenarios and assess their potential impacts. This will be a game changer for the transport sector, as the lack of data-driven approaches focused on active mobility has restricted the development of evidence-based business cases for cycling infrastructure investment, when compared to motorised transport. Benefits from this project to the nation include more informed and optimised investment in cycling, increase in cycling modal share, reduction of emissions and congestion, and improvement of safety and health outcomes from cycling.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101020
Funder
Australian Research Council
Funding Amount
$357,000.00
Summary
Data-driven simulation of large traffic networks using trajectory data. This project aims to develop a low-cost, data-driven framework that builds a traffic simulation model automatically and directly from vehicle trajectory data to enable rapid and reliable analysis of large-scale traffic networks. The project expects to generate new knowledge in the area of transport engineering using an innovative approach to inferring travel behaviours, movement patterns and traffic dynamics from increasingl ....Data-driven simulation of large traffic networks using trajectory data. This project aims to develop a low-cost, data-driven framework that builds a traffic simulation model automatically and directly from vehicle trajectory data to enable rapid and reliable analysis of large-scale traffic networks. The project expects to generate new knowledge in the area of transport engineering using an innovative approach to inferring travel behaviours, movement patterns and traffic dynamics from increasingly available urban trajectory data. Expected outcomes include improved decision support for urban planners and traffic operators and enhanced traffic management and incident response capabilities, providing significant social, economic and environment benefits through optimised road use and urban flow.Read moreRead less
Next Generation Bridge Monitoring using Novel Synergic Identification. Over 70% of the bridges in Australia are made of prestressed concrete, yet many do not meet the requirements of current Australian Standards. This project aims to provide a cost-effective system for monitoring bridges in real time along with systems that track the prestressing force and rate of damage for ongoing health assessment and necessary repairs. The use of innovative engineering techniques, solving long standing probl ....Next Generation Bridge Monitoring using Novel Synergic Identification. Over 70% of the bridges in Australia are made of prestressed concrete, yet many do not meet the requirements of current Australian Standards. This project aims to provide a cost-effective system for monitoring bridges in real time along with systems that track the prestressing force and rate of damage for ongoing health assessment and necessary repairs. The use of innovative engineering techniques, solving long standing problems of engineers, will enable the safe operation of bridges, which play a primary role in Australia’s national transport system. Improved methodology for turning tired infrastructure into ‘smart bridges’ will be developed and commissioned first in Australia and then applied internationally.Read moreRead less
Empowering Next-Generation Spatial Digital Twins with Linked Spatial Data. This project aims to design novel algorithms for aligning and querying of spatial data from heterogeneous sources. Spatial data is being generated at an unprecedented rate due to the prevalence of mobile devices and ubiquitous connectivity, which enables a novel application, spatial digital twins. However, harnessing this data in spatial digital twins is hampered by the isolation of data from different sources. The projec ....Empowering Next-Generation Spatial Digital Twins with Linked Spatial Data. This project aims to design novel algorithms for aligning and querying of spatial data from heterogeneous sources. Spatial data is being generated at an unprecedented rate due to the prevalence of mobile devices and ubiquitous connectivity, which enables a novel application, spatial digital twins. However, harnessing this data in spatial digital twins is hampered by the isolation of data from different sources. The project will investigate algorithms to align and query spatial data from heterogeneous sources for high accessibility. It will enable novel applications with advanced spatial analytical querying needs, such as emergency planning, benefiting location-based service providers, urban planners, and emergency management agencies.Read moreRead less
Next Generation Spatial Data Management for Virtual Spatial Systems. This project aims to design novel spatial data retrieval methods for efficient and accurate querying of large datasets with location information. Spatial data is being generated at an unprecedented rate due to the prevalence of mobile devices and ubiquitous connectivity. However, harnessing this data is hampered by outdated and inefficient methods. The project will investigate data retrieval methods that self-optimise for high ....Next Generation Spatial Data Management for Virtual Spatial Systems. This project aims to design novel spatial data retrieval methods for efficient and accurate querying of large datasets with location information. Spatial data is being generated at an unprecedented rate due to the prevalence of mobile devices and ubiquitous connectivity. However, harnessing this data is hampered by outdated and inefficient methods. The project will investigate data retrieval methods that self-optimise for high query efficiency and accuracy, by utilising underlying real-world data patterns. It will enable novel applications for virtual spatial systems with large-scale querying needs, such as spatial digital twins and metaverses, benefiting location-based service providers, urban planners, and emergency management agencies.Read moreRead less
When stabilization and optimization meet: a codesign approach. The next generation of engineered systems need to perform complex tasks with precision, and be robust, resilient and adaptive to their environment enabled by the confluence of control, optimization, learning and computation Understanding the interplay between robust stability and optimization is key to this endeavor. Many techniques, such as model predictive control and reinforcement learning, rely on an intricate interplay between ....When stabilization and optimization meet: a codesign approach. The next generation of engineered systems need to perform complex tasks with precision, and be robust, resilient and adaptive to their environment enabled by the confluence of control, optimization, learning and computation Understanding the interplay between robust stability and optimization is key to this endeavor. Many techniques, such as model predictive control and reinforcement learning, rely on an intricate interplay between an optimization-based control algorithm and an optimization routine used to calculate the control law. This project aims to develop a general design framework for stability, suboptimality and robustness of such algorithms, that can be used in range of novel applications, such as driverless cars and drones. Read moreRead less
Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the c ....Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the characteristics of the particles, their sources and spatial and temporal variation across different urban areas and time scales. Further, the impacts of changing fuels, vehicle technologies, and climate on future trends of the particles will be elucidated.Read moreRead less
Promoting active travel and public transport for a post-pandemic world. In many major cities, COVID-19 stimulated the provision of open streets, pop up bike lanes and widened pedestrian access, prompting unprecedented increases cycling and walking. While this type of infrastructure has always been supported by urban planners and designers, the pandemic has served as a vital inflection point, enabling cities to pursue long-term sustainable transport initiatives, including investment in Active Tra ....Promoting active travel and public transport for a post-pandemic world. In many major cities, COVID-19 stimulated the provision of open streets, pop up bike lanes and widened pedestrian access, prompting unprecedented increases cycling and walking. While this type of infrastructure has always been supported by urban planners and designers, the pandemic has served as a vital inflection point, enabling cities to pursue long-term sustainable transport initiatives, including investment in Active Travel (AT). There is an opportunity to promote AT as part of an integrated transport strategy, and to develop tools for the robust evaluation of AT impacts to inform future investment strategies. This proposal will provide our partner organisation Transport for New South Wales (with the knowledge required to achieve this.
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