1st Edition
Artificial Intelligence and Human Performance in Transportation Applications, Challenges, and Future Directions
Preface
Foreword
About the authors
Contributors
Acknowledgements
1. Chapter 1
Dimitrios Ziakkas, Konstantinos Sakalis, Anastasios Plioutsias, Georges Rebender
· 1.1 CONCEPTUAL FRAMEWORK OF ARTIFICIAL INTELLIGENCE IN TRANSPORTATION
Konstantinos Sakalis
· 1.2 EVOLUTION OF AI AND ITS POTENTIAL APPLICATIONS
Konstantinos Sakalis
· 1.3 BENEFITS OF AI IMPLEMENTATION IN TRANSPORTATION
Konstantinos Sakalis
· 1.4 CONTROL ERGONOMICS IN THE ERA OF AI
Anastasios Plioutsias, Dimitrios Ziakkas
· 1.5 LEARNING TO TRUST AI AND MACHINE LEARNING – KEY STEPS FOR IMPLEMENTING CHANGES
Dimitrios Ziakkas, Mihail Diakomihalis
· 1.6 AI CERTIFICATION & CHALLENGES
Georges Rebender
· 1.7 SIMULATED AIR TRAFFIC CONTROL ENVIRONMENT (SATCE) and ASTi SERA’s ROLE in CBTA: The PURDUE UNIVERSITY CASE STUDY
Dimitrios Ziakkas
2. Chapter 2
Dimitrios Ziakkas, Anastasios Plioutsias, Debra Henneberry, Julius Keller, Konstantinos Pechlivanis, Anastasia Kosmidou, Mihail Diakomihalis, Natalia Marcovici, Ioannis Katsidimas, Athanasios Kotzakolios, Evey Cormican
· 2.1 INCORPORATING AI INTO TRANSPORTATION HIGHER EDUCATION: CURRICULUM CONSIDERATIONS FOR AN EVOLVING INDUSTRY
Debra Henneberry, Julius Keller
· 2.2 THE ROLE OF AI IN AI TRAINING /OPERATIONS
Dimitrios Ziakkas, Konstantinos Pechlivanis, Anastasia Kosmidou, Konstantinos Pechlivanis
o 2.2.3 ARTIFICIAL INTELLIGENCE IN SHIPPING OPERATIONS
Mihail Diakomihalis
· 2.3. THE ROLE OF AI IN WEATHER PREDICTION, PLANNING, ROUTE OPTIMIZATION, AND SCHEDULING
Anastasios Plioutsias, Dimitrios Ziakkas
o 2.3.5 AI IN WEATHER PREDICTION, PLANNING, ROUTE OPTIMIZATION, AND SCHEDULING: THE SHIPPING CASE STUDY
Natalia Marcovici
· 2.4 AI-POWERED MAINTENANCE AND PREDICTIVE ANALYSIS FOR VEHICLE HEALTH MONITORING AND MAINTENANCE SCHEDULING
Ioannis Katsidimas, Athanasios Kotzakolios
· 2.5 ARTIFICIAL INTELLIGENCE APPLICATIONS AS COGNITIVE ARTIFACTS IN AVIATION DISTRIBUTED COGNITION
Konstantinos Pechlivanis
· 2.6 THE VTR CASE STUDY
Evey Cormican
3. Chapter 3
Dimitrios Ziakkas, Anastasios Plioutsias, Konstantinos Pechlivanis, Lea-Sophie Vink, Andrew Black
· 3.1 APPLICATIONS OF AI IN TRAFFIC MANAGEMENT AND ITS CHALLENGES
Lea-Sophie Vink
· 3.2. TRAFFIC PREDICTION AND OPTIMIZATION
Anastasios Plioutsias, Dimitrios Ziakkas
· 3.3 ROLE OF AI IN UNMANNED AIRCRAFT SYSTEMS AND THE DRONE TRAFFIC MANAGEMENT SYSTEM
Andrew Black
· 3.4 ROLE OF AI IN UNMANNED AIRCRAFT SYSTEMS AND THE DRONE TRAFFIC MANAGEMENT SYSTEM
Andrew Black
· 3.5 THE ROLE OF AI IN TRAINING OF TRAFFIC CONTROLLERS - MANAGERS
Lea-Sophie Vink
· 3.6 MONITORING HUMAN PERFORMANCE, SAFETY INTELLIGENCE, AND FATIGUE RISK MANAGEMENT IN TRAFFIC ECOSYSTEMS
Spyridon Chazapis
· 3.7 SAFETY ASSURANCE, SAFETY MANAGEMENT, AND THE DESIGN OF AIRSPACE/TRAFFIC MANAGEMENT
Lea-Sophie Vink
· 3.8 THE AUSTRO CONTROL CASE STUDY
Lea-Sophie Vink
4. Chapter 4
Dimitrios Ziakkas, Anastasios Plioutsias, Konstantinos Pechlivanis, Mihail Diakomihalis, Stefano Conte, Beatrix Walzl
· 4.1 APPLICATIONS OF AI IN AIRPORTS – PORTS – TRAIN STATIONS MANAGEMENT, SECURITY AND SURVEILLANCE SYSTEMS
Dimitrios Ziakkas
o 4.1.5 THE SHIPPING COMPANIES CASE STUDY
Mihail Diakomihalis
· 4.2 THE USE OF AI IN BAGGAGE HANDLING, PASSENGER SCREENING, AND FACIAL RECOGNITION WITHIN AIRPORT, PORT, AND TRAIN STATION OPERATIONS.
Anastasios Plioutsias
· 4.3 THE ROLE OF AI IN MULTIPLE REMOTE TOWERS AND GROUND OPERATIONS
Stefano Conte
· 4.4 ARTIFICIAL INTELLIGENCE IN SHIPPING OPERATIONS
Mihail Diakomihalis
· 4.5 TRAIN OPERATIONS
Beatrix Walzl
5. Chapter 5
Dimitrios Ziakkas, Anastasios Plioutsias, Konstantinos Pechlivanis, Volodymyr Bilotkach, Caterina Ciacatani
· 5.1 AI-BASED CHATBOTS AND VIRTUAL ASSISTANTS FOR PERSONALISED CUSTOMER INTERACTIONS.
Anastasios Plioutsias, Dimitrios Ziakkas
· 5.2 USE OF AI RECOMMENDATION SYSTEMS, PRICING OPTIMIZATION, AND REVENUE MANAGEMENT
Volodymyr Bilotkach
· 5.3 THE ROLE OF AI IN CUSTOMER FEEDBACK ANALYSIS, SENTIMENT ANALYSIS, AND SOCIAL MEDIA MONITORING
Caterina Ciacatani
· 5.4 THE AIRLINERS’ CASE STUDY
Anastasios Plioutsias, Dimitrios Ziakkas
6. Chapter 6
Ioannis Bakopoulos, Timothy D Ropp, Konstantina Ioannidi, Shantanu Gupta
· 6.1 ROLE OF AI IN PREDICTIVE MAINTENANCE AND CONDITION-BASED MONITORING FOR VEHICLE SYSTEMS
Ioannis Bakopoulos
· 6.2 USE OF AI IN FAULT DETECTION, DIAGNOSIS, AND PROGNOSIS FOR IMPROVED MAINTENANCE EFFICIENCY
Timothy D Ropp
· 6.3 AI APPLICATIONS IN REPAIR OPERATIONS AND SPARE PARTS MANAGEMENT
Konstantina Ioannidi
· 6.4 AI IN MAINTENANCE AND SUPPLY CHAIN
Konstantina Ioannidi
· 6.5 AI USES FOR TECHNICAL SUPPORT IN TRANSPORTATION MANAGEMENT - MONITORING OF SYSTEMS: AUTOMATION OF THE RADIO PIREP SUBMISSION PROCESS IN GENERAL AVIATION (GA)
Shantanu Gupta
· 6.6 DATA GOVERNANCE: THE BASIS FOR AI IN MAINTENANCE AND REPAIR OPERATIONS
Timothy D Ropp
· 6.7 THE PURDUE UNIVERSITY SCHOOL OF AVIATION AND TRANSPORTATION TECHNOLOGY (SATT) CASE STUDY
Timothy D Ropp
7. Chapter 7
Dimitrios Ziakkas, Anastasios Plioutsias, Konstantinos Pechlivanis, Shantanu Gupta, Shuo Liu
· 7.1 HUMAN FACTOR CONSIDERATIONS IN THE IMPLEMENTATION OF AI IN TRANSPORTATION
Anastasios Plioutsias, Dimitrios Ziakkas
· 7.2 TRAINING AND SKILL DEVELOPMENT FOR HUMAN OPERATORS WORKING WITH AI SYSTEMS
Anastasios Plioutsias, Dimitrios Ziakkas
o 7.2.3 PROMPT ENGINEERING IN GENERATIVE AI APPLICATIONS FOR TRANSPORTATION: AN EMERGING COMPETENCY
Konstantinos Pechlivanis
· 7.3 THE FUTURE OF SIMULATION IN HUMAN-MACHINE INTERACTION IN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION
Anastasios Plioutsias, Dimitrios Ziakkas
· 7.4 AUTOMATION FRAMEWORK FOR HUMAN DECISION-MAKING AND KEY USES OF AI FOR COGNITIVE INFORMATION PROCESSING
Shantanu Gupta
· 7.5 ADAPTIVE AUTOMATION AND AI IN PREDICTIVE HUMAN PERFORMANCE
Shantanu Gupta
· 7.6 HUMAN-AI TEAMING BY IMPLEMENTING AI-BASED APPLICATIONS ON CONNECTED ELECTRONIC TRANSPORTATION DEVICES
Shuo Liu
· 7.7 THE ELECTRONIC FLIGHT BAG CASE STUDY: EXPLORING THE POTENTIAL OF MACHINE LEARNING IN 4D OPERATIONS
Shuo Liu
8. Chapter 8
Dimitrios Ziakkas, Anastasios Plioutsias, Konstantinos Pechlivanis, Thanasis Binis, Mihail Diakomihalis, Lea-Sophie Vink
· 8.1 ETHICAL CONSIDERATIONS IN RESPONSIBLE IMPLEMENTATION OF AI IN TRANSPORTATION / 8.1.1 ARTIFICIAL INTELLIGENCE ETHICS IN AVIATION
Konstantinos Pechlivanis
o 8.1.2 ETHICAL AND LEGAL CONSIDERATIONS IN RESPONSIBLE ARTIFICIAL INTELLIGENCE IMPLEMENTATION IN SHIPPING
Mihail Diakomihalis
· 8.2 LEGAL FRAMEWORKS AND CONSIDERATIONS IN THE RESPONSIBLE IMPLEMENTATION OF AI IN TRANSPORTATION.
Thanasis Binis, Anastasios Plioutsias, Dimitrios Ziakkas
· 8.3 BUILDING BETTER JUST CULTURE IN A WORLD WITH AI
Lea-Sophie Vink
· 8.4 SAFETY MANAGEMENT SYSTEMS CASE STUDY
Anastasios Plioutsias, Dimitrios Ziakkas, Konstantinos Pechlivanis
9. Chapter 9
Dimitrios Ziakkas, Anastasios Plioutsias, Konstantinos Pechlivanis, Lea-Sophie Vink, Spyridon Chazapis
· 9.1 COMMON CHALLENGES AND LIMITATIONS OF IMPLEMENTING AI IN TRANSPORTATION
Konstantinos Pechlivanis
· 9.2 BEST PRACTICES FOR SUCCESSFUL IMPLEMENTATION OF AI IN TRANSPORTATION, INCLUDING RISK ASSESSMENT, CHANGE MANAGEMENT, AND COLLABORATION
Lea-Sophie Vink
· 9.3 SIMILARITIES AND DIFFERENCES BETWEEN THE APPLICATION OF AI IN AUTOMOTIVE AND AVIATION INDUSTRIES.
Dimitrios Ziakkas, Spyridon Chazapis
· 9.4. IMPLEMENTATION OF REQUIREMENTS SYSTEMS – START NOW OR MISS THE CHANCE
Anastasios Plioutsias, Dimitrios Ziakkas
10. Chapter 10
Dimitrios Ziakkas, Anastasios Plioutsias, Konstantinos Pechlivanis, Lea-Sophie Vink, Aspasia Argyrou
· 10.1 FUTURE DIRECTIONS IN AI TECHNOLOGIES
Anastasios Plioutsias, Dimitrios Ziakkas, Konstantinos Pechlivanis
· 10.2 EMERGING TRENDS IN AI TECHNOLOGIES
Anastasios Plioutsias, Dimitrios Ziakkas, Konstantinos Pechlivanis
· 10.3 Predictions and prospects of the future of AI in Transportation
Anastasios Plioutsias, Dimitrios Ziakkas, Aspasia Argyrou
· 10.4 BIG DATA AND SAFETY INTELLIGENCE POSSIBILITIES
Anastasios Plioutsias, Dimitrios Ziakkas, Dimitra Eirini Synodinou
· 10.5 THE ADVANCED AIR MOBILITY CASE STUDY: REGULATORY HURDLES AND COMPLIANCE CHALLENGES
Anastasios Plioutsias, Dimitrios Ziakkas, Yolanda Vaiopoulou
· 10.6 CONCLUSIONS
Anastasios Plioutsias, Dimitrios Ziakkas, Konstantinos Pechlivanis
Index
Biography
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.






