1st Edition

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

Edited By Dimitrios Ziakkas, Anastasios Plioutsias Copyright 2025
    192 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 security, safety, online training, and autonomous vehicle operations on land, sea, and air.

    This guide is a dynamic resource for senior management and decision-makers, with essential practical advice distilled from the expertise of specialists in the field. It addresses the most critical issues facing transportation service providers in adopting AI and investigates the relationship between the human operator and the technology to navigate what is and is not feasible or impossible. Case studies of actual implementation provide context to common scenarios in the transportation sector.

    This book will serve the reader as the starting point for practical questions regarding the deployment and safety assurance of new and emergent technologies in the transportation domains. Artificial Intelligence and Human Performance in Transportation is a beneficial read for professionals in the fields of Human Factors, Engineering (Aviation, Maritime and Land), Logistics, Manufacturing, Accident Investigation and Safety, Cybersecurity and Human Resources.

    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.