Game Theory in Autonomous Driving

di Amir Khajepour (Autore)

Yukun Lu (Autore)

Keqi Shu (Autore)

Springer, 2026

This book comprehensively explores the fundamental aspects of game theory and its application in autonomous driving, with an additional focus on real-world implementations. It provides robust examples of game formulation, driving behavior modeling, estimation, and the realization of experimental platforms. The book begins by introducing the basic concepts of game theory and discussing its necessity in the development of autonomous vehicles. It then covers both classical and modern game theory models. Fundamental concepts and the background of the autonomous vehicles’ software stack are detailed, illustrating how game theory integrates into this framework. The book also demonstrates special modifications in game formulation that consider realistic driving behaviors and the characteristics of urban traffic. Finally, it presents the real-world implementation of a shuttle bus platform and the corresponding experimental results. Intended for senior undergraduate and graduate students, vehicle R&D departments, and anyone interested in designing and implementing self-driving systems in highly interactive environments, the book adopts a step-by-step approach to simplify complex concepts. It is enriched with diagrams, graphs, and practical examples to aid understanding.

• Autore: Amir Khajepour, Yukun Lu, Keqi Shu
• Anno edizione: 2026
• Editore: Springer
• Formato: EPUB3 con Adobe DRM
• Lingua: Inglese
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9783032099921