Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy. The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will ....Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy. The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will be verified using available bridge datasets of QDMR and GCCC. The methodology is applicable to other bridge authorities throughout Australia and internationally to maintain ageing bridge stock. Read moreRead less
An Intelligent Robotic System for Underwater Structure Maintenance. This project aims to build a theoretical and experimental foundation for developing robots for underwater structure maintenance in near surface and tidal environments where water current and wave action can be strong. A novel intelligent robotic system with multiple arms is planned to be developed. The project will address research challenges associated with perception, mapping, planning and control, and develop methodologies th ....An Intelligent Robotic System for Underwater Structure Maintenance. This project aims to build a theoretical and experimental foundation for developing robots for underwater structure maintenance in near surface and tidal environments where water current and wave action can be strong. A novel intelligent robotic system with multiple arms is planned to be developed. The project will address research challenges associated with perception, mapping, planning and control, and develop methodologies that enable the realisation of such robotic systems. The intended outcomes will contribute to marine robotics research and its industrial applications, and will improve productivity and occupational health and safety by replacing the humans needed to work in such hazardous environments.Read moreRead less
Biologically inspired robotic system for steel bridge condition assessment. Australia has many thousands of steel bridges which form a key infrastructure supporting urban and rural communities. Periodic inspection is a vital undertaking that minimises risk of bridge failures and associated community impact. This project will develop a robotic inspection system capable of crawling over the structure, inspecting all areas, acquiring essential information and appropriately presenting these to a hu ....Biologically inspired robotic system for steel bridge condition assessment. Australia has many thousands of steel bridges which form a key infrastructure supporting urban and rural communities. Periodic inspection is a vital undertaking that minimises risk of bridge failures and associated community impact. This project will develop a robotic inspection system capable of crawling over the structure, inspecting all areas, acquiring essential information and appropriately presenting these to a human operator to facilitate effective condition assessment. The project's outcomes will lay the foundation for the world-wide use of bio-inspired robots in civil infrastructure condition assessment, significantly increasing worker’ safety and greatly reducing the costs and improving the efficiency of the inspection process.Read moreRead less
Motorway management system integrating safety, efficiency & sustainability. This project aims to develop a motorway management system that holistically optimises motorway safety, efficiency, and sustainability via intervening the traffic flow dynamics. In the current practice of motorway traffic flow management, safety, efficiency, and sustainability are fundamentally connected but separately managed as they are modeled by distinct methodologies. The new system is based on a proposed traffic flo ....Motorway management system integrating safety, efficiency & sustainability. This project aims to develop a motorway management system that holistically optimises motorway safety, efficiency, and sustainability via intervening the traffic flow dynamics. In the current practice of motorway traffic flow management, safety, efficiency, and sustainability are fundamentally connected but separately managed as they are modeled by distinct methodologies. The new system is based on a proposed traffic flow theory which includes a microscopic model for safety analysis and a derived macroscopic model for efficiency and sustainability analysis. This theory can be used to resolve the above-mentioned long unsettled challenge and significantly improve our motorway performance.Read moreRead less
A novel integrated motorway management system for less congested, more reliable and safer motorways. Motorway traffic congestion poses major economic, social and safety problems, which this project seeks to address through intelligent traffic management solutions as an alternative to massive infrastructure expansion. The project’s innovative traffic analysis and control system will reduce periods of congestion and increase driver safety.
Plastic deformation and failure of high strength rail steels in heavy haul transportation of mineral products. The Australian Government has made infrastructure, including rail, as a national priority for investment to meet the freight transport demand. This project focuses on the deformation and failure of rail in heavy haul lines to transport ores in the mining industry. The outcomes will be applied to ensure the structural integrity of rail infrastructure.
Discovery Early Career Researcher Award - Grant ID: DE130100205
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Optimisation of transit priority in a transportation network. This project is aimed at developing an optimised approach to combine various types of public transport priority in an urban network which can be used by transport planners to increase the efficiency of traffic movements and reduce traffic congestion. The case study is the network of Brisbane including all arterial and local roads.
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
Adaptive Stochastic Dynamic Traffic Assignment. This project aims to address some of the limitations of dynamic transport network modelling in the planning process particularly related to traffic uncertainty, driver adaptivity and information-provision. Previous advances facilitate the proposed methods to introduce; new network routing algorithms that account for numerous increasingly important problem characteristics such as driver route-choice response to real-time information and uncertainty; ....Adaptive Stochastic Dynamic Traffic Assignment. This project aims to address some of the limitations of dynamic transport network modelling in the planning process particularly related to traffic uncertainty, driver adaptivity and information-provision. Previous advances facilitate the proposed methods to introduce; new network routing algorithms that account for numerous increasingly important problem characteristics such as driver route-choice response to real-time information and uncertainty; new formulations for the stochastic dynamic traffic assignment problem which employ the novel routing algorithms as sub-problems; and new methods for relevant bi-level optimisation transport applications such as network design and incident management.Read moreRead less
Methodologies for the incorporation of congestion propagation and system reliability into transport network models for consistent multi-scale planning. This project will improve the capabilities of transport planning techniques. Specifically, new methods will be introduced, which improve the realism of regional congestion modelling, and the mathematical representation of traveller decision-making, thereby permitting an improved long-term transport plan.