Michail Makridis, Yifan Zhang

Broschiertes Buch

Autonomous Driving and Traffic Dynamics in Road Transportation

Modeling, Simulation, and Control

Beschreibung

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.

Autor

Dr. Michail A. Makridis is the Deputy Director of the Traffic Engineering and Control group at ETH Zürich, Switzerland. Previously, he led the Transport and Traffic Engineering group at the Zurich University of Applied Sciences and was the scientific lead for the Traffic Modeling Group at the Joint Research Centre (JRC) of the European Commission (EC). He holds a Ph.D. in Computer Vision from Democritus University of Thrace, Greece. His research focuses on traffic flow, management, and control for Intelligent Transportation Systems involving Connected and Automated Vehicles. His work emphasizes data-driven, physics-informed modeling and AI to enhance sustainability, traffic efficiency, antifragile operations, and equitable transport networks. In 2022, he received the JRC Annual Award for Excellence in Research from the EC. He is an Associate Editor for the IEEE Open Journal of Intelligent Transportation Systems and serves on various scientific committees.

Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 260
• Erscheinungstermin: 1. April 2026
• Englisch
• Gewicht: 450g
• ISBN-13: 9780443331923
• ISBN-10: 0443331928
• Artikelnr.: 75165688