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Autonomous Driving and Traffic Dynamics in Road Transportation: Modeling, Simulation, and Control explores the transformative effects of autonomous vehicles (AVs) on road transportation, emphasizing that AVs introduce unique challenges and opportunities distinct from conventional vehicles. The book highlights the risks of oversimplification in modeling AVs and underscores the necessity for nuanced, AI-driven approaches to understanding traffic dynamics. Through an in-depth discussion, it examines how AVs affect congestion, safety, energy use, and their pivotal role in shaping intelligent, sustainable transportation systems for the future. In addition to foundational concepts, the book compares traditional and AI-based car-following models, assessing their strengths and weaknesses. The book integrates human and autonomous driving behaviors into traffic flow theories and evaluates their collective impact on traffic patterns, efficiency, and safety. The text also delves into real-world applications of AI and hybrid modeling techniques for traffic management, offering actionable insights for researchers, engineers, and policymakers seeking to advance the state of traffic estimation and control in an era of increasing automation.