Air Transport: A Computer Science Perspective
- 1st Edition - February 1, 2026
- Imprint: Elsevier
- Authors: Sebastian Wandelt, Xiaoqian Sun
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 4 5 1 5 0 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 4 5 1 5 1 - 5
Air Transport: A Computer Science Perspective thoroughly examines the integration of computer science principles in the field of air transportation. Bridging the gap between theory… Read more
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Air Transport: A Computer Science Perspective thoroughly examines the integration of computer science principles in the field of air transportation. Bridging the gap between theory and real-world applications, it delves into automation, complex problem-solving, and cutting-edge technology in aviation. Authored by a seasoned team of a computer scientist and an airspace engineer, it offers a unique blend of expertise that highlights practical applications of algorithms, data structures, and optimization techniques essential for enhancing flight operations and enabling autonomous systems. Readers will gain insights into the latest regulatory frameworks, ensuring they are well-equipped to navigate the evolving air transport landscape. Structured in five parts, the book begins with foundational concepts such as computational complexity and intelligence. It then delves into critical aspects of airline operations, including network design, flight scheduling, fleet assignment, and aircraft routing. The exploration continues with airport operations, focusing on gate assignment, ground vehicle allocation, and delay prediction. In the realm of air traffic flow management, readers will discover trajectory optimization, airspace sectorization, and network resilience assessment. The concluding section summarizes key findings and provides an outlook on future advancements in the field. This book is an invaluable resource for a diverse audience, including transportation engineers, computer scientists eager to tackle real-world air transport challenges, and professionals in data science, software engineering, and aviation research. It is ideal for students in aerospace engineering, computer science, and data science programs, emphasizing practical applications that drive innovation and efficiency in the air transport sector.
- Includes comprehensive, expert-curated reviews of the academic literature on each subject, providing readers with a solid foundation in the latest research and developments
- Dedicates a significant portion to exploring modern computational intelligence techniques, such as machine learning, deep learning, and optimization algorithms, with a focus on their application in air transport, helping readers understand how to leverage them for innovative solutions
- Explicitly addresses the computational complexity involved in real-world use cases, including algorithm efficiency, scalability, and the trade-offs between computational complexity and solution accuracy, providing readers with practical strategies for managing and overcoming these challenges
Researchers and academics exploring the intersection of air transport and computer science; transportation engineers; computer scientists; data scientists and analysts in air transport operations; software engineers and developers for air transport systems; Master's and PhD students in aerospace engineering, computer science, and data science programs
PART 1 Foundations
1. Introduction
2. Computational Complexity
3. Computational Intelligence
PART 2 Airlines Operations
4. Network Design
5. Flight Scheduling
6. Fleet Assignment
7. Aircraft Routing
PART 3 Airport Operations
8. Gate Assignment
9. Ground Vehicle Allocation
10. Delay Prediction
PART 4 Air Traffic Flow Management
11. Trajectory Optimization
12. Airspace Sectorization
13. Network Resilience Assessment
PART 5 Conclusions
14. Summary and Outlook
15. References
1. Introduction
2. Computational Complexity
3. Computational Intelligence
PART 2 Airlines Operations
4. Network Design
5. Flight Scheduling
6. Fleet Assignment
7. Aircraft Routing
PART 3 Airport Operations
8. Gate Assignment
9. Ground Vehicle Allocation
10. Delay Prediction
PART 4 Air Traffic Flow Management
11. Trajectory Optimization
12. Airspace Sectorization
13. Network Resilience Assessment
PART 5 Conclusions
14. Summary and Outlook
15. References
- Edition: 1
- Published: February 1, 2026
- Imprint: Elsevier
- Language: English
SW
Sebastian Wandelt
Sebastian Wandelt is a professor at Beihang University. He has a PhD in computer science. His work is broadly on the design and evaluation of algorithms and data management techniques in transportation, with a focus the underlying computational challenges. In addition, he has an interest in the optimization of complex systems. The results of his research are published in leading transportation journals such as Transportation Science, Transportation Research Part A/B/C/D/E, European Journal of Operational Research, Computers & Operations Research, and IEEE Transactions on Intelligent Transportation Systems. He is an associate editor of Transportation Research Part A: Policy and Practice.
Affiliations and expertise
Beihang University, Beijing, ChinaXS
Xiaoqian Sun
Xiaoqian Sun is a professor at Beihang University. She has a PhD in airspace engineering. Her research interests are mostly in air transportation-related optimization as well as transport policy. Her research has been published in journals such as Transportation Research Part A/B/C/D/E, Journal of Transport Geography, Transport Policy, Journal of Air Transport Management, Networks and Spatial Economics, and Transportmetrica A/B. She is a Theodore von Kármán fellow of RWTH Aachen, a TU Dresden fellow, and a Vice President of the Air Transport Research Society. She is the Co-EIC of the Journal of the Air Transport Research Society, an Associate Editor for the Journal of Air Transport Management as well as for the IEEE Transactions on Intelligent Transportation Systems. She is on the editorial board of various transportation journals, such as Transportation Research Part D as well as Research in Transportation Business & Management.
Affiliations and expertise
Beihang University, Beijing, China