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
Travel time budget analysis from multi-day and multi-year data. This research will investigate whether people have stable budgets for daily travel time and travel cost expenditure. Stable budgets have enormous implications for how various transport policies and investments are likely to affect the way people choose to travel and will likely change various policy and investment decisions related to transport.
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
Innovative tools to improve station design and management of crowds in emergency and panic conditions. This project aims to understand how crowds behave in panic and emergency situations in order to plan evacuation procedures and create the safest designs for our major infrastructures such as large public transport hubs and urban environment.
Business location decisions. This project aims to develop a forecasting model system for economic planning that integrates business (re-) location and co-location choices. Improved transport infrastructure connects places and can influence the location of businesses. This project will use forecasting models to quantify the drivers of firm location decisions linked to an integrated strategic transport and land use modelling system. This project expects to provide guidance for transport investment ....Business location decisions. This project aims to develop a forecasting model system for economic planning that integrates business (re-) location and co-location choices. Improved transport infrastructure connects places and can influence the location of businesses. This project will use forecasting models to quantify the drivers of firm location decisions linked to an integrated strategic transport and land use modelling system. This project expects to provide guidance for transport investment that brings gains in productivity to industry and the economy and wellbeing to individuals and society.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100449
Funder
Australian Research Council
Funding Amount
$336,000.00
Summary
Modelling mixed traffic of traditional, connected, and automated vehicles. This project plans to address the challenge of efficiently operating mixed traffic flow of traditional, connected and automated vehicles. The rapid advancement of technologies is currently turning connected and automated vehicles from science fiction into science fact. However, there are no existing traffic flow models capable of reproducing features of mixed traffic flow consisting of traditional, connected and automated ....Modelling mixed traffic of traditional, connected, and automated vehicles. This project plans to address the challenge of efficiently operating mixed traffic flow of traditional, connected and automated vehicles. The rapid advancement of technologies is currently turning connected and automated vehicles from science fiction into science fact. However, there are no existing traffic flow models capable of reproducing features of mixed traffic flow consisting of traditional, connected and automated vehicles. This project aims to address this knowledge deficit and develop an analytical tool able to accurately model mixed traffic flow. This new knowledge and model are prerequisites to effective operation and control of traffic flow of traditional, connected and automated vehicles.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
In-road microwave system for traffic monitoring and vehicle identification. In-road microwave system for traffic monitoring and vehicle identification. This project aims to develop a cost-effective, in-road microwave radar system for traffic monitoring and vehicle identification. The ever increasing number of vehicles on our roads makes conventional approaches to traffic management less effective and prohibitively expensive. The new system will integrate chip-enabled license plate technology wit ....In-road microwave system for traffic monitoring and vehicle identification. In-road microwave system for traffic monitoring and vehicle identification. This project aims to develop a cost-effective, in-road microwave radar system for traffic monitoring and vehicle identification. The ever increasing number of vehicles on our roads makes conventional approaches to traffic management less effective and prohibitively expensive. The new system will integrate chip-enabled license plate technology with novel microwave radar techniques to produce real-time data that supports immediate intervention for improved road safety, vehicle identification and driver validation. Multiple sensors will also provide uniquely rich data to improve traffic management decisions, road infrastructure planning and operation. This research could significantly reduce the effect of traffic incidents and congestions across Australia.Read moreRead less
The development and application of an evaluation framework to assess transport, health and economic impacts of new urban cycling infrastructure. This project will develop and apply a more accurate and simpler approach to measure the impacts of new cycling infrastructure, than is currently available. This methodology will be applied to a new bicycle path to be built by the City of Sydney, demonstrating the full transport, environmental, health, and economic impacts on the community.
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