Probabilistic terrorism risk assessment and risk acceptability for infrastructure protection. The risk-based decision-making framework will enable security risks to be quantified and compared in a rational and consistent manner, for a range of terrorist threats to infrastructure and transport systems. This will allow risk mitigation to be maximised leading to optimal security expenditure.
Risk-Based Decision-Making for Terrorism and Infrastructure Security. The project intends to develop stochastic models to predict the likelihood and extent of damages, casualties and other losses from terrorist and military threats. Terrorism, security and defence policy-makers need robust probabilistic risk assessments to prioritise or optimise the protection of buildings and aviation infrastructure, as well as iconic structures and mass gatherings. A key focus of the project is malevolent and ....Risk-Based Decision-Making for Terrorism and Infrastructure Security. The project intends to develop stochastic models to predict the likelihood and extent of damages, casualties and other losses from terrorist and military threats. Terrorism, security and defence policy-makers need robust probabilistic risk assessments to prioritise or optimise the protection of buildings and aviation infrastructure, as well as iconic structures and mass gatherings. A key focus of the project is malevolent and accidental explosive blast loadings on civilian and hardened infrastructure. A quantitative assessment of security risks and risk acceptance criteria would allow the effectiveness of security measures to be assessed to provide cost-effective levels of protection that is acceptable to society.Read moreRead less
A novel integrated motorway management system for less congested, more reliable and safer motorways. Motorway traffic congestion poses major economic, social and safety problems, which this project seeks to address through intelligent traffic management solutions as an alternative to massive infrastructure expansion. The project’s innovative traffic analysis and control system will reduce periods of congestion and increase driver safety.
Discovery Early Career Researcher Award - Grant ID: DE130100205
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Optimisation of transit priority in a transportation network. This project is aimed at developing an optimised approach to combine various types of public transport priority in an urban network which can be used by transport planners to increase the efficiency of traffic movements and reduce traffic congestion. The case study is the network of Brisbane including all arterial and local roads.