Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-po ....Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-powered logistics vehicles are a major contributor. However, converting these trucks to LNG requires strong evidence to convince logistics companies of the benefits of shifting to green logistics. An increase in logistics productivity is expected to increase Australia’s gross domestic product by $2 billion, while this research should also provide vital data on sustainability issues and LNG conversions.Read moreRead less
Modelling How Humans Adapt to Task Demands in Safety-Critical Workplaces . This project aims to explain how human operators make decisions in complex work environments that require multiple tasks to be completed under time pressure. This project expects to achieve a significant theoretical and practical advance by developing and testing a computational model of the psychological processes that allow operators to adapt to the types of workplace task demands that can increase human error and the ....Modelling How Humans Adapt to Task Demands in Safety-Critical Workplaces . This project aims to explain how human operators make decisions in complex work environments that require multiple tasks to be completed under time pressure. This project expects to achieve a significant theoretical and practical advance by developing and testing a computational model of the psychological processes that allow operators to adapt to the types of workplace task demands that can increase human error and the risk of accidents. The expected outcome is a model that can explain operator decision-making and predict the conditions where operators are more likely to make delayed responses or errors. This should provide significant benefits by informing psychological theory and potentially reducing workplace incidents and accidents.Read moreRead less