Safety in the Heavy Vehicle Industry: A Collaborative Response. The management and regulation of heavy vehicles, particularly in relation to safety, is recognised as an urgent issue at all levels of government across Australia. In the absence of research that identifies the key determinants of heavy vehicle crashes, countermeasures will continue to be based on anecdote. The proposed study will determine the role key risk factors, namely scheduling and sleep-related factors, play in heavy vehicl ....Safety in the Heavy Vehicle Industry: A Collaborative Response. The management and regulation of heavy vehicles, particularly in relation to safety, is recognised as an urgent issue at all levels of government across Australia. In the absence of research that identifies the key determinants of heavy vehicle crashes, countermeasures will continue to be based on anecdote. The proposed study will determine the role key risk factors, namely scheduling and sleep-related factors, play in heavy vehicle crashes and will identify cost-effective strategies to reduce the growing economic burden associated with these crashes.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
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.
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
Stable on-demand optimization for workforce and fleet logistics management. This project aims to conceive, develop and deploy innovative methodologies for stable on-demand workforce management and fleet logistics based on advanced decision-support systems. The outcome of this project will provide a new cloud-based real-time Optimisation Software-as-a-Service (OSaaS) platform that allows businesses to improve their productivity while reducing operating costs and their environmental footprint. Thi ....Stable on-demand optimization for workforce and fleet logistics management. This project aims to conceive, develop and deploy innovative methodologies for stable on-demand workforce management and fleet logistics based on advanced decision-support systems. The outcome of this project will provide a new cloud-based real-time Optimisation Software-as-a-Service (OSaaS) platform that allows businesses to improve their productivity while reducing operating costs and their environmental footprint. This is expected to support the manufacturing, retail, delivery and mobile fleets industries.Read moreRead less
Integrating network modelling with observed choice data for multi-criteria optimisation of complex car share systems: cost, mobility and transit usage. This project will develop methods to determine an efficient car share system, which includes optimal location, one-way car sharing, and how carshare influences the broader transport system. By adopting such new comprehensive methods, the overall transport system will benefit through potential improvements in public transit usage.
Discovery Early Career Researcher Award - Grant ID: DE200101793
Funder
Australian Research Council
Funding Amount
$423,038.00
Summary
Quantifying and managing the network impacts of transport sharing services. This project aims to address the challenge of effectively modelling multiple transport sharing services (e.g., ridesharing and parking sharing) in a multimodal network, and efficiently operating these services, and incentivising people to use them. The project expects to generate new knowledge in shared transport by developing an innovative approach to systematically reproducing and optimising network impacts of sharing ....Quantifying and managing the network impacts of transport sharing services. This project aims to address the challenge of effectively modelling multiple transport sharing services (e.g., ridesharing and parking sharing) in a multimodal network, and efficiently operating these services, and incentivising people to use them. The project expects to generate new knowledge in shared transport by developing an innovative approach to systematically reproducing and optimising network impacts of sharing services on travel choices, sharing demand-supply matching patterns, movement trajectory features and traffic dynamics. Expected outcomes include new models and strategies to improve decision support for transport planners and operators. This should provide significant benefits for human mobility and city sustainability.Read moreRead less
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
Integrating Accident and Travel Delay Externalities in an Urban Speed Reduction Context. The recognition that accident externalities are not independent of travel delays, and hence travel time savings and losses will promote a serious policy rethink about strategies designed to reduce the risk of exposure to accidents. The evidence is designed to identify that additional externality that has to be factored into the accident costs to recognise the other sources of externality typically ignored in ....Integrating Accident and Travel Delay Externalities in an Urban Speed Reduction Context. The recognition that accident externalities are not independent of travel delays, and hence travel time savings and losses will promote a serious policy rethink about strategies designed to reduce the risk of exposure to accidents. The evidence is designed to identify that additional externality that has to be factored into the accident costs to recognise the other sources of externality typically ignored in accident costing and speed restriction studies. The implication on the development of a national program of road safety is likely to be profound. Read moreRead less
Evaluation of train driver work culture and environment for improving railway safety. This innovative research intersects the fields of neurosciences, computer science and engineering, leading to application of new knowledge for developing intelligent train driver systems for improving transport safety. Such research will place Australia at the forefront of this area. Reducing train related accidents will positively impact on the socio economic fabric of society by reducing the emotional and fin ....Evaluation of train driver work culture and environment for improving railway safety. This innovative research intersects the fields of neurosciences, computer science and engineering, leading to application of new knowledge for developing intelligent train driver systems for improving transport safety. Such research will place Australia at the forefront of this area. Reducing train related accidents will positively impact on the socio economic fabric of society by reducing the emotional and financial burden to the community. The research has the potential to lead to substantial revenue generation in Australia in the future. The data obtained will provide new knowledge and information to transport and Government authorities.Read moreRead less