In this webinar, Professor Li Jin discusses a class of design problems related to connected and autonomous transportation systems (CATS) using queuing models. Classical queuing models have been extensively used for conventional transportation systems. However, their application in CATS has not been well understood. To address this challenge, Professor Jin’s work builds on classical queuing models and develops novel models that can be directly used to provide solutions for CATS. He shows that the coordination of vehicle platoons in mixed-autonomy can be formulated as an M/D/1 queuing process. Second, he uses an M/D/1 queuing model with a switch-over cost to study the behavior of signal-free intersections. Third, he considers a class of model data-independent control policies for Jackson queuing networks, which can model a cluster of inter-connected intersections. Finally, he synthesizes queuing models and security game models to study the impact of malicious attacks on CATS, with a Question and Answer at the end.