Development and evaluation of simulation models for assessing the impacts of connected and automated vehicles

This research investigates the impacts of connected and automated vehicles (CAVs) on traffic efficiency, safety and environmental impacts in the Australian context. A Melbourne-based simulation model was developed to examine how varying mixes of human-driven, autonomous, and connected vehicles impact traffic performance under diverse scenarios, highlighting significant efficiency, safety, and emissions benefits with higher CAV adoption, vehicle-to-vehicle and vehicle-to-infrastructure communication integration. A public survey was undertaken which revealed hesitations about CAV safety, reliability, and control, but noted support for the technology among people with disabilities. The thesis provides policy recommendations that emphasise public education, infrastructure investment, and incentives to foster trust and adoption, supporting Australia's sustainability goals.