Description
Book SynopsisHandbook of Human Factors for Automated, Connected, and Intelligent Vehicles
Subject Guide: Ergonomics & Human Factors
Automobile crashes are the seventh leading cause of death worldwide, resulting in over 1.25 million deaths yearly. Automated, connected, and intelligent vehicles have the potential to reduce crashes significantly, while also reducing congestion, carbon emissions, and increasing accessibility. However, the transition could take decades. This new handbook serves a diverse community of stakeholders, including human factors researchers, transportation engineers, regulatory agencies, automobile manufacturers, fleet operators, driving instructors, vulnerable road users, and special populations. It provides information about the human driver, other road users, and humanâautomation interaction in a single, integrated compendium in order to ensure that automated, connected, and intelligent vehicles reach their full potential.
Features
- Addresses four major transportation challengesâcrashes, congestion, carbon emissions, and accessibilityâfrom a human factors perspective
- Discusses the role of the human operator relevant to the design, regulation, and evaluation of automated, connected, and intelligent vehicles
- Offers a broad treatment of the critical issues and technological advances for the designing of transportation systems with the driver in mind
- Presents an understanding of the human factors issues that are central to the public acceptance of these automated, connected, and intelligent vehicles
- Leverages lessons from other domains in understanding human interactions with automation
- Sets the stage for future research by defining the space of unexplored questions
Table of ContentsPreface. Editors. Contributors. 1. Introduction. 2. Automated Driving: Decades of Research and Development Leading to Today’s Commercial Systems. 3. Driver’s Mental Model of Vehicle Automation. 4. Driver Trust in Automated, Connected, and Intelligent Vehicles. 5. Public Opinion About Automated and Self-Driving Vehicles: An International Review. 6. Workload, Distraction, and Automation. 7. Situation Awareness in Driving. 8. Allocation of Function to Humans and Automation and the Transfer of Control. 9. Driver Fitness in the Resumption of Control. 10. Driver Capabilities in the Resumption of Control. 11. Driver State Monitoring for Decreased Fitness to Drive. 12. Behavioral Adaptation. 13. Distributed Situation Awareness and Vehicle Automation: Case Study Analysis and Design Implications. 14. Human Factors Considerations in Preparing Policy and Regulation for Automated Vehicles. 15. HMI Design for Automated, Connected, and Intelligent Vehicles. 16. Human–Machine Interface Design for Fitness-Impaired Populations. 17. Automated Vehicle Design for People with Disabilities. 18. Importance of Training for Automated, Connected, and Intelligent Vehicle Systems. 19. Connected Vehicles in a Connected World: A Sociotechnical Systems Perspective. 20. Congestion and Carbon Emissions. 21. Automation Lessons from Other Domains. 22. HF Considerations When Testing and Evaluation ACIVs. 23. Techniques for Making Sense of Behavior in Complex Datasets. 24. Future Research Needs and Conclusions.
