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
A unique driver assessment tool to improve four wheel drive and sedan driving competencies. Four wheel drive (4WD) sales are booming in Australia. 4WD occupant fatalities occurring in rollovers are over represented in Australian's road crashes. This is a unique project using advanced technology to assess behavioural risks associated with the use of 4WDs and inexperienced drivers. It builds a novel, integrated computer-based screening tool to provide objective and reliable driver training assessm ....A unique driver assessment tool to improve four wheel drive and sedan driving competencies. Four wheel drive (4WD) sales are booming in Australia. 4WD occupant fatalities occurring in rollovers are over represented in Australian's road crashes. This is a unique project using advanced technology to assess behavioural risks associated with the use of 4WDs and inexperienced drivers. It builds a novel, integrated computer-based screening tool to provide objective and reliable driver training assessments with the aim of (i) reducing crashes relating to inexperience and specific 4WD crashes and (ii) recommending public policy with regard to 4WD behavioural risks and driver training.Read moreRead less
Ubiquitous Data Mining and Situation-Awareness for Improving Road Safety. Road crashes cost Australia $15 billion a year and 95% of these are attributed to drivers' errors. Risk assessment is at the core of the road crash problem. This innovative project develops a computational model that analyses situational driver behaviour and proposes real-time countermeasures to minimise fatalities/casualties. We develop and evaluate a novel Intelligent Transport System that assesses and acts upon drivers ....Ubiquitous Data Mining and Situation-Awareness for Improving Road Safety. Road crashes cost Australia $15 billion a year and 95% of these are attributed to drivers' errors. Risk assessment is at the core of the road crash problem. This innovative project develops a computational model that analyses situational driver behaviour and proposes real-time countermeasures to minimise fatalities/casualties. We develop and evaluate a novel Intelligent Transport System that assesses and acts upon drivers' risks. This multidisciplinary project integrates recent models of data mining, context-awareness computing, physiological metrics, ubiquitous computing, driver distraction models, risk perception and road safety. This project yields a new understanding of driver behaviour and countermeasures in risk situations.Read moreRead less