Remote Delivery and Capture of Payloads using Aerial Deployed Tethers. The capability to rapidly transport payloads to and from remote locations is critical for search and rescue, disaster relief, remote communities, and military operations. Conventional technology is not well suited to this role, hence we propose to develop an intelligent system to manoeuvre a tether, towed from an aircraft, to pick-up or set-down a payload, with zero surface velocity. Because of the complex, nonlinear dynamics ....Remote Delivery and Capture of Payloads using Aerial Deployed Tethers. The capability to rapidly transport payloads to and from remote locations is critical for search and rescue, disaster relief, remote communities, and military operations. Conventional technology is not well suited to this role, hence we propose to develop an intelligent system to manoeuvre a tether, towed from an aircraft, to pick-up or set-down a payload, with zero surface velocity. Because of the complex, nonlinear dynamics of a cable-body system, advanced modelling and nonlinear optimal control will be applied in this task. The resulting world-first system will provide important economic opportunities and demonstrate Australian scientific capacity for novel developing intelligent systems.Read moreRead less
Scalable urban traffic control framework driven by distributed information. This project aims to develop a mathematical framework for investigating the role of information interactions between traffic signal settings and choices made by road users. Traffic control is one of the oldest and most cost-effective solutions for the worsening congestion problem in many metropolitan areas. However, through addressing fundamental mathematical challenges, further gains can be achieved to improve traffic ....Scalable urban traffic control framework driven by distributed information. This project aims to develop a mathematical framework for investigating the role of information interactions between traffic signal settings and choices made by road users. Traffic control is one of the oldest and most cost-effective solutions for the worsening congestion problem in many metropolitan areas. However, through addressing fundamental mathematical challenges, further gains can be achieved to improve traffic control and combat congestion. The expected outcome will be insights into the use of information and algorithms that can provide efficient, robust and safe traffic network management.Read moreRead less
Understanding impact of autonomous vehicles on behaviour and interactions. Understanding impact of autonomous vehicles on behaviour and interactions. This project aims to explore three human factor issues critical to the successful deployment of automated vehicles: factors influencing driver choice of automated vehicle control; interactions between automated and manually controlled vehicles; and driver detection, recognition, and reaction to automated vehicle system failures. Automated vehicles ....Understanding impact of autonomous vehicles on behaviour and interactions. Understanding impact of autonomous vehicles on behaviour and interactions. This project aims to explore three human factor issues critical to the successful deployment of automated vehicles: factors influencing driver choice of automated vehicle control; interactions between automated and manually controlled vehicles; and driver detection, recognition, and reaction to automated vehicle system failures. Automated vehicles are predicted to be transformative, but their ultimate success and expected societal benefits will depend on drivers’ trust in them and on how people choose to use and interact with them. Insights from this research should prepare our society for more automated vehicles on the roadways.Read moreRead less
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
DEVELOPING SCIENTIFIC BASIS FOR THE RAPID DETECTION SYSTEM OF DIESEL VEHICLES WITH HIGH LEVEL OF EXHAUST EMISSIONS. Diesel vehicle exhaust is a significant source of air pollution leading to major human health problems. However, only a small fraction of vehicles with high exhaust emissions cause the majority of this pollution. Initially, this research will develop a model of dispersion of pollutants into the environment immediately after emission. This model will be the scientific foundation for ....DEVELOPING SCIENTIFIC BASIS FOR THE RAPID DETECTION SYSTEM OF DIESEL VEHICLES WITH HIGH LEVEL OF EXHAUST EMISSIONS. Diesel vehicle exhaust is a significant source of air pollution leading to major human health problems. However, only a small fraction of vehicles with high exhaust emissions cause the majority of this pollution. Initially, this research will develop a model of dispersion of pollutants into the environment immediately after emission. This model will be the scientific foundation for the development of an efficient and economical rapid detection system for those vehicles with high exhaust emissions. The major outcome is to improve air quality and lower the occurrence/severity of airborne pollution induced health effects.Read moreRead less
Rethinking walking infrastructure: AI-assisted footpath network modelling. The project aims to develop new macroscopic and network wide transport modelling and optimisation methodologies specific to walking suitable for large scale footpath network planning applications. The expected outcomes of this project are a novel Artificial Intelligence (AI) assisted tool for automated generation of footpath network attributes, and a set of equilibrium and non-equilibrium seeking walking route choice mode ....Rethinking walking infrastructure: AI-assisted footpath network modelling. The project aims to develop new macroscopic and network wide transport modelling and optimisation methodologies specific to walking suitable for large scale footpath network planning applications. The expected outcomes of this project are a novel Artificial Intelligence (AI) assisted tool for automated generation of footpath network attributes, and a set of equilibrium and non-equilibrium seeking walking route choice models driven by real-world individual walking trajectory data. This project will deliver a step-change in transport planning for walking infrastructure that will lead to increased active transport and improved urban infrastructure planning, thereby resulting in significant gains in population and environmental health.Read moreRead less
AN INTEGRATED MODEL OF BUS EMISSION IMPACTS AT AND AROUND BUS STATIONS AND BUSWAYS FOR TRANSPORT AND LAND USE PLANNING. Buses are one of the two most common forms of public transport in Australia, with bus fleet and service coverage increasing, yet the effect on human health and the environment of the emissions from these vehicles is unknown. This research will develop a comprehensive model of bus emission impacts in and around bus stations and along bus corridors for use in exposure and risk as ....AN INTEGRATED MODEL OF BUS EMISSION IMPACTS AT AND AROUND BUS STATIONS AND BUSWAYS FOR TRANSPORT AND LAND USE PLANNING. Buses are one of the two most common forms of public transport in Australia, with bus fleet and service coverage increasing, yet the effect on human health and the environment of the emissions from these vehicles is unknown. This research will develop a comprehensive model of bus emission impacts in and around bus stations and along bus corridors for use in exposure and risk assessment, integrated transport and land use planning and policy setting. This research will provide a scientific foundation for developing future directions for the management of public transport to minimize the impact of emissions on the public and the environment.Read moreRead less
A modelling framework for designing more sustainable urban freight systems. How to improve the sustainability of goods movement in cities is a major challenge for society. City logistics involves numerous stakeholders, including carriers that are small and independent and have difficulty achieving high levels of efficiency. This project aims to develop an integrated modelling framework to facilitate the exploration of novel urban logistics initiatives that are more connected, collaborative, and ....A modelling framework for designing more sustainable urban freight systems. How to improve the sustainability of goods movement in cities is a major challenge for society. City logistics involves numerous stakeholders, including carriers that are small and independent and have difficulty achieving high levels of efficiency. This project aims to develop an integrated modelling framework to facilitate the exploration of novel urban logistics initiatives that are more connected, collaborative, and open. The framework combines agent-based simulation, optimization, artificial intelligence and digital twin technologies to design and evaluate new schemes for improving the efficiency, reliability, and sustainability of urban logistics systems, which will alleviate congestion and the need for new road infrastructure.Read moreRead less
A Human Factors Approach to the Design of Visual Information in the Highway Environment. Visual information in the highway environment affects drivers' perception, behaviour, and accident propensity. Using a range of methods and approaches, issues of key importance in road design will be addressed, e.g. (1) how increasing visual clutter in the road environment affects accident-producing behaviour, (2) how certain road situations create particular problems for the increasing number of older drive ....A Human Factors Approach to the Design of Visual Information in the Highway Environment. Visual information in the highway environment affects drivers' perception, behaviour, and accident propensity. Using a range of methods and approaches, issues of key importance in road design will be addressed, e.g. (1) how increasing visual clutter in the road environment affects accident-producing behaviour, (2) how certain road situations create particular problems for the increasing number of older drivers, and (3) how the road environment can be redesigned to reduce fundamental perceptual errors made by drivers. The proposal will generate new guidelines for how future road design can be optimised to minimise crash rates.Read moreRead less
The Safer Scooting Study. E-scooters are a new transport option experiencing rapid uptake, but many people are concerned about their safety. This project aims to provide an understanding of how and why people use e-scooters and how rider behaviour and safety outcomes change with experience. The anticipated goal of this project is to harness the potential benefits of e-scooters as an efficient replacement for short car trips and a way of improving access to public transport, while minimising the ....The Safer Scooting Study. E-scooters are a new transport option experiencing rapid uptake, but many people are concerned about their safety. This project aims to provide an understanding of how and why people use e-scooters and how rider behaviour and safety outcomes change with experience. The anticipated goal of this project is to harness the potential benefits of e-scooters as an efficient replacement for short car trips and a way of improving access to public transport, while minimising the dangers to riders and pedestrians. This knowledge is expected to inform governments at all levels, industry and riders on how to optimise e-scooter design, use and regulation to contribute to improvements in transport, health and environmental outcomes for all Australians.Read moreRead less