Traffic Incidents: Reducing the Impacts. Road congestion due to traffic incidents in major urban areas adversely affects traveller safety and travel reliability, and is a significant cost burden to industry and the community in social, environmental and economic terms. This project will investigate the impact of traffic incidents, with the aim being to produce outcomes that contribute to more efficient traffic management, and specifically to reducing the incident duration. Outcomes will include ....Traffic Incidents: Reducing the Impacts. Road congestion due to traffic incidents in major urban areas adversely affects traveller safety and travel reliability, and is a significant cost burden to industry and the community in social, environmental and economic terms. This project will investigate the impact of traffic incidents, with the aim being to produce outcomes that contribute to more efficient traffic management, and specifically to reducing the incident duration. Outcomes will include the development of decision support tools to aid in policy and operational responses, as well as the development of faster and more comprehensive accident reconstruction based on spatial information technology. Read moreRead less
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