DescriptionThe recent development of cloud computing and edge computing bring forward numerous novel technologies that could play a critical role in realizing the vision of future Connected and Automated Vehicles (CAVs). By enabling CAVs to offload their massive on-board data and heavy computing tasks to road side units (RSUs) at the edge and computing clusters in the cloud, future automotive computing could become more efficient, collaborative, and lower cost. With more communication and sharing via cloud and edge infrastructure, different entities of the future transportation system (e.g., vehicles, road infrastructure, traffic management centers) would become more situation-aware, thus improving the safety, mobility, and environment impact of the entire system. However, to realize this vision, there remain significant challenges to be addressed. This special session will bring four experts from academia and industry to present some of the pressing challenges in cloud- and edge-computing of CAVs and discuss promising directions to address them, including federated learning with multi-access edge computing for CAVs, data management with smart caching at vehicles and wireless network management with dependability constraints, digital twin based design automation tools for development efficiency, and end-to-end methodologies for addressing safety and security in edge-cloud computing of CAVs.