From error-prone human driving to error-free superhuman-like self-driving . Automated vehicles (AVs) without human intervention are heralded to revolutionise transportation systems, but can make roads

Description

From error-prone human driving to error-free superhuman-like self-driving . Automated vehicles (AVs) without human intervention are heralded to revolutionise transportation systems, but can make roads more dangerous for other users. This project aims to rigorously assess AV interactions with human drivers and vulnerable road users, by simulating dangerous traffic dynamics through augmented virtual testing. This cost-effective approach provides a one-stop solution for large-scale AV deployment. Expected outcomes include a ground-breaking AV testing platform that will start a new paradigm for AV deployment, and an error-free motion planning method. These advances will help achieve the triple-zero goal—zero fatalities, serious injuries, and emissions—while positioning Australian AV research at the global forefront.. Scheme: ARC Future Fellowships. Field: 3509 - Transportation, Logistics and Supply Chains. Lead: Prof Zuduo Zheng