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
Real-time Analytics on Urban Trajectory Data for Road Traffic Management. This project aims to develop real-time analytics and data management capabilities that leverage large-scale urban trajectory data to provide road operators with real-time insights into population movements and enable data-driven, customer-centric network operations. Current traffic management practices rely heavily on aggregate vehicle count data from fixed road sensors, which have limitations in accurately measuring traff ....Real-time Analytics on Urban Trajectory Data for Road Traffic Management. This project aims to develop real-time analytics and data management capabilities that leverage large-scale urban trajectory data to provide road operators with real-time insights into population movements and enable data-driven, customer-centric network operations. Current traffic management practices rely heavily on aggregate vehicle count data from fixed road sensors, which have limitations in accurately measuring traffic demand and network congestion propagation. This project seeks to develop innovative technologies to use a wide variety of data sources, especially massive trajectories of vehicles moving across the network, to better understand people's travel demands and road usage patterns and thus better manage the transport system.
Read moreRead less