Unifying Traffic Modelling and Safety Management for Safer and Faster Roads

该项目旨在平衡道路安全和效率，这是交通系统与联网和自动驾驶汽车（cav）混合的相互冲突的目标。该项目预计将为自动驾驶汽车提供操作算法和分析的基础知识，并开发用于操作它们的创新工具。预期结果包括能够共同估计自动驾驶汽车的效率和安全影响的突破性模型，以及安全有效地将自动驾驶汽车整合到现有运输系统中的控制策略。这将带来显著的安全和效率效益，目前每年约有1160人死亡，12.5亿小时的交通拥堵，并使澳大利亚为联网和自动化汽车时代做好更好的准备。

This project aims to balance road safety and efficiency as conflicting goals of transport systems mixed with connected and automated vehicles (CAVs). This project is expected to generate fundamental knowledge on operational algorithms and analytics for CAVs and develop innovative tools for operating them. Expected outcomes include ground-breaking models capable of the co-estimation of efficiency and safety impacts of CAVs, and control strategies to safely and efficiently integrate CAVs into existing transport systems. This should provide significant safety and efficiency benefits that currently cost about 1160 lives and 1.25 billion hours of congestion per year, and make Australia better prepared for the connected and automated vehicle era.