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
Investigating travel choice behaviour: a new approach. Since large monetary investments are involved in infrastructure decisions, it is of utmost importance that impacts of transport policies can be accurately predicted. The recent failures to forecast usage and revenues of toll tunnels in Australia illustrate this well. This project aims to contribute by producing improved practical behavioural models to predict responses to such transport policies to assist in better decision making. Further, ....Investigating travel choice behaviour: a new approach. Since large monetary investments are involved in infrastructure decisions, it is of utmost importance that impacts of transport policies can be accurately predicted. The recent failures to forecast usage and revenues of toll tunnels in Australia illustrate this well. This project aims to contribute by producing improved practical behavioural models to predict responses to such transport policies to assist in better decision making. Further, the project is expected to make several methodological contributions by for the first time merging methods from stated choice surveys, experimental economics, and naturalistic driving simulators in order to better investigate travel choice behaviour in realistic environments.Read moreRead less
Innovative urban traffic congestion solutions: optimising road space using networks of multi-class priority lanes. This project strengthens national approaches to a pervasive Australian problem; growing traffic congestion deteriorating liveability, environmental health and economic performance of the cities. This project improves approaches for traffic priority design to improve the efficiency of several class of vehicles and therefore, reducing traffic congestion.
Valuation of service reliability and crowding under risk and uncertainty: neglected drivers of demand for public transport. The reliability of public transport services, and the amount of crowding at stations and also on trains and on buses, have come under strong criticism. This study identifies the role that improved service reliability and reduced crowding play in influencing the switch from car to public transport for the commute.
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
Integrating Attribute Decision Heuristics into Travel Choice Models that accommodate Risk Attitude and Perceptual Conditioning. This proposal has the specific objective of integrating two disconnected literatures that are having a major influence on the behavioural and statistical performance of discrete choice models in travel choice modelling. These fields are attribute processing strategies and the conditioning of the marginal utility of attributes by risk attitude and perceptual conditioning ....Integrating Attribute Decision Heuristics into Travel Choice Models that accommodate Risk Attitude and Perceptual Conditioning. This proposal has the specific objective of integrating two disconnected literatures that are having a major influence on the behavioural and statistical performance of discrete choice models in travel choice modelling. These fields are attribute processing strategies and the conditioning of the marginal utility of attributes by risk attitude and perceptual conditioning. These two major developments have not been jointly integrated into a behaviourally richer representation of choice making. Given the encouraging evidence from both literatures, the research will determine more precisely the benefits in terms of improved estimates of willingness to pay for specific attributes and also increased predictive power. Read moreRead less
Reducing aggression on our roads: testing a comprehensive model of aggressive driving. This project aims to increase our understanding of driver aggression, its causes and how it can be prevented. This will inform development of more effective educational and enforcement measures to reduce driver aggression and resultant road crashes, which have significant social and economic impacts on the Australian community.
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
Assessment of the commuter's willingness to pay a congestion charge under alternative pricing regimes and revenue disbursement plans. The call to replace fixed charges with car use related charges, has placed congestion charging regimes at the centre of future variable user charging policy. This project investigates the impact and acceptability of alternative charging schemes in terms of the charge level, the regime (for example, distance versus cordon), and how revenue is disbursed.
Modelling the Environmental Impacts of Commercial Vehicle Tours and Freight Management Policies in Urban Areas. Commercial vehicle flows have a negative impact on the health and wellbeing of millions of pedestrians and urban dwellers. Commercial vehicles' environmental costs per kilometre are about four times higher the corresponding environmental costs of a private car. However, the amount and level of these impacts are highly dependent on the population density and its proximity to freight flo ....Modelling the Environmental Impacts of Commercial Vehicle Tours and Freight Management Policies in Urban Areas. Commercial vehicle flows have a negative impact on the health and wellbeing of millions of pedestrians and urban dwellers. Commercial vehicles' environmental costs per kilometre are about four times higher the corresponding environmental costs of a private car. However, the amount and level of these impacts are highly dependent on the population density and its proximity to freight flows. Existing methods to assess environmental impacts such as air quality or noise tend to focus on the production source of the pollutant not the impacts, without providing the necessary framework and methodology to evaluate freight management policies in urban areas.Read moreRead less