Artificial Intelligence and Human Performance in Transportation

Artificial Intelligence (AI) is a major technological advancement in the 21st century. This book presents different ways of adopting emerging technologies in transportation operations, including security, safety, online training, and autonomous vehicle operations on land, sea and air.

Autorentext

Dimitrios Ziakkas is an Assistant Professor in the School of Aviation and Transportation Technology at Purdue University, IN, USA. He is an Airbus captain, instructor, and examiner with current A-320, A-330/350, A-340 type ratings. A cross-cultural communicator, global citizen, and innovator, Dimitrios has over 30 years of experience in military and civil aviation operations worldwide, integrating manpower planning involving selection and recruitment aviation practices in multi-disciplinary research programs. His professional background is diverse, from history and humanities to engineering and science, relating not only with the history of aviation technological devices and processes but also with technology in history (the relationship of aviation technology to politics, economics, science, arts, and the organization of production), including the role it plays in the differentiation of individuals in society.

Anastasios Plioutsias is an Assistant Professor of Human Factors at Coventry University, UK. He has over ten years of experience in Human Factors and Accident & Incident Investigations. He was a fighter pilot in Hellenic Air Force (HAF) for 27 years with flight experience in F-16BLK52+ and F-4E Phantoms (2500 flight hours in fighter). He is an experienced accident and incident investigator, and he had assigned to all levels of investigation boards when he was on duty in HAF. He is a member of RAeS, SaRS, ISASI, EAAP and the European Chapter of Human Factors and Ergonomics Society.

Inhalt

1. Introduction to AI in Transportation. 2. Artificial Intelligence Training and Operations. 3. Artificial Intelligence in Traffic Management. 4. Artificial Intelligence in Airport Ports Train Stations Operations. 5. Artificial Intelligence in Customers Experience. 6. Artificial Intelligence in Maintenance, Technical Support and Repair Operations. 7. Human Machine Interaction in Artificial Intelligence in Transportation. 8. Ethical and Legal Challenges in Artificial Intelligence Implementation. 9. Best Practices for the Implementation of Artificial Intelligence. 10. Conclusions / Future Directions and Emerging Trends in Artificial Intelligence in Transportation.