Revolutionizing Traffic with AI

This chapter explores the transformative impact of artificial intelligence on mixed-autonomy traffic, highlighting two key revolutions in traffic engineering: the shift to model-free learning and the use of video data. It discusses the balance between innovation and safety in critical systems, emphasizing the need for both traditional models and modern AI techniques to enhance traffic management. The chapter delves into advancements in reinforcement learning and its potential applications in self-driving technologies, underscoring the challenges and opportunities in real-time traffic system operations.