1st Edition

Artificial Intelligence and Human Performance in Transportation Applications, Challenges, and Future Directions

Edited By Dimitrios Ziakkas, Anastasios Plioutsias Copyright 2025
176 Pages 17 B/W Illustrations
by CRC Press

176 Pages 17 B/W Illustrations
by CRC Press

176 Pages 17 B/W Illustrations
by CRC Press

Artificial Intelligence (AI) is a major technological advancement in the 21st century. With its influence spreading to all aspects of our lives and the engineering sector, establishing well-defined objectives is crucial for successfully integrating AI in the field of transportation. This book presents different ways of adopting emerging technologies in transportation operations, including... Read more

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.