The field of autonomous vehicle security and 6G-enabled transportation systems is rapidly evolving, with a focus on addressing the dual demands of high-resolution positioning and reliable communication. Researchers are exploring innovative solutions to enhance safety and efficiency in mixed-autonomy environments, including the development of novel Value of Information metrics and Multi-Agent Distributed Deterministic Policy Gradient algorithms. The interplay between security, privacy, and trust in 6G-enabled Intelligent Transportation Systems is also being investigated, with a emphasis on the need for comprehensive, multi-layered security frameworks. Furthermore, the security of in-vehicle bus systems, such as CAN, is being systematized and assessed, highlighting the importance of structured knowledge and defense strategies. Notable papers in this area include: Precise HDV Positioning through Safety-Aware Integrated Sensing and Communication in a Value-of-Information-Driven 6G V2X System, which proposes a novel framework for prioritizing the transmission of safety-critical data. Conceptualizing and Modeling Communication-Based Cyberattacks on Automated Vehicles, which formalizes novel message-level attack vectors and implements them in a ring-road simulation. Interplay between Security, Privacy and Trust in 6G-enabled Intelligent Transportation Systems, which reviews the opportunities and challenges of 6G-ITS and proposes a taxonomy of different attack models. SoK: Kicking CAN Down the Road, which systematizes existing CAN security knowledge and presents a comprehensive taxonomy and assessment models of attackers, attacks, and defenses.