Autonomous Driving and Mixed Traffic Dynamics: Modeling, Simulation, and Control provides an introduction to autonomous vehicles (AV) in road transport systems, along with discussions on the critical similarities and differences with human drivers. Focusing on key concepts in traffic dynamics and AI-based modeling, the book also offers a comprehensive discussion of the unique dynamics introduced by AVs and their impacts on congestion, safety, energy, and their role in sustainable future intelligent transportation systems. Sections delve into traditional driving behaviors, examining the basics of car-following, driver characteristics, lateral movement, and how well AI models generalize these behaviors.
Further sections covers shifts to autonomous driving systems, analyzing their operational principles and providing comparative evidence with human drivers. Assessments on the performance of traditional car-following models against artificial intelligence developments that highlight strengths and weaknesses for each approach are also included. Final sections integrate human drivers and AVs into broader traffic flow theories, presenting findings on how autonomous driving impacts traffic patterns, look at the role of AI and modeling, explore the pros and cons of various methods and data sources, and discuss real-world traffic management applications, combining AI and traditional models for traffic estimation, control, and ensuring fair, disruption-resilient outcomes.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Biography - p. xi 8. Foreword - p. xiii 9. Acknowledgments - p. xvii 10. Outline - p. xix 11. Part One: Driving behavior and modeling - p. P1 12. Chapter One: Human driving behavior - p. 3 13. Chapter Two: Human driving modeling - p. 31 14. Chapter Three: Autonomous vehicle operation - p. 55 15. Chapter Four: Artificial intelligence in driving behavior modeling - p. 79 16. Part Two: Mixed traffic flow dynamics - p. P2 17. Chapter Five: Traffic flow fundamentals - p. 109 18. Chapter Six: Mixed traffic flow - p. 129 19. Part Three: Traffic management applications - p. P3 20. Chapter Seven: Highway traffic management - p. 165 21. Chapter Eight: Urban traffic management - p. 193 22. Chapter Nine: Infrastructure and mixed traffic - p. 221 23. Index - p. 245
Autonomous Driving and Mixed Traffic Dynamics: Modeling, Simulation, and Control provides an introduction to autonomous vehicles (AV) in road transport systems, along with discussions on the critical similarities and differences with human drivers. Focusing on key concepts in traffic dynamics and AI-based modeling, the book also offers a comprehensive discussion of the unique dynamics introduced by AVs and their impacts on congestion, safety, energy, and their role in sustainable future intelligent transportation systems. Sections delve into traditional driving behaviors, examining the basics of car-following, driver characteristics, lateral movement, and how well AI models generalize these behaviors.
Further sections covers shifts to autonomous driving systems, analyzing their operational principles and providing comparative evidence with human drivers. Assessments on the performance of traditional car-following models against artificial intelligence developments that highlight strengths and weaknesses for each approach are also included. Final sections integrate human drivers and AVs into broader traffic flow theories, presenting findings on how autonomous driving impacts traffic patterns, look at the role of AI and modeling, explore the pros and cons of various methods and data sources, and discuss real-world traffic management applications, combining AI and traditional models for traffic estimation, control, and ensuring fair, disruption-resilient outcomes.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Biography - p. xi 8. Foreword - p. xiii 9. Acknowledgments - p. xvii 10. Outline - p. xix 11. Part One: Driving behavior and modeling - p. P1 12. Chapter One: Human driving behavior - p. 3 13. Chapter Two: Human driving modeling - p. 31 14. Chapter Three: Autonomous vehicle operation - p. 55 15. Chapter Four: Artificial intelligence in driving behavior modeling - p. 79 16. Part Two: Mixed traffic flow dynamics - p. P2 17. Chapter Five: Traffic flow fundamentals - p. 109 18. Chapter Six: Mixed traffic flow - p. 129 19. Part Three: Traffic management applications - p. P3 20. Chapter Seven: Highway traffic management - p. 165 21. Chapter Eight: Urban traffic management - p. 193 22. Chapter Nine: Infrastructure and mixed traffic - p. 221 23. Index - p. 245
