The civil aviation system is a dynamic and complex system involving airlines,
flights, airlines, airports and runways. There are many factors affecting the
safety and efficiency of civil aviation system. Under the circumstance of limited
resources, how to design, optimize and evaluate the resource allocation of civil
aviation system will greatly improve its management science level. However, if
the scheduling scheme of civil aviation system is only prepared manually, it is
not only time-consuming and laborious, but also the experience scheme is
hardly optimal. With the help of big data and artificial intelligence, it is possible
to generate the design and optimization scheme of civil aviation system by using
computers. The main goal of this book is to build mathematical models and
design algorithms for several common types of civil aviation problems from an
operations research perspective. Finally, an example is given to verify the validity
of the model and algorithm. Another goal of this book is how to evaluate the
operational efficiency of the civil aviation system, where the different objects
would be scored based on the establishment of evaluation indicators. Finally, an
example is given to verify the validity of this study.
Sample Chapter(s)
Preface (52 KB)
Components of the Book:
- Head Page
- Copyright
- Preface
- Content
- A Green Demand-Responsive Airport Shuttle Service Problem with Time-Varying Speeds
- 1. Introduction
- 2. Literature
- 3. Methodology
- 4. Heuristic-Based NSGA-II to Resolve Green DRASS
- 5. Numerical Example
- 6. Conclusions
- Acknowledgements
- Data Availability Statement
- Conflicts of Interest
- References
- A Multiple Objective Optimization Model for Aircraft Arrival and Departure Scheduling on Multiple Runways
- 1. Introduction
- 2. Literature
- 3. Methodology
- 4. Heuristic-Based NSGA-II
- 5. Numerical Example
- 6. Conclusions
- Acknowledgements
- Data Availability Statement
- Conflicts of Interest
- References
- A Multi-Objective Fuzzy Optimization Model for Multi-Type Aircraft Flight Scheduling Problem
- 1. Introduction
- 2. Literature
- 3. Methodology
- 4. A Heuristic Algorithm Based on NSGA2 for Resolving an AFSP
- 5. Numerical Example
- 6. Conclusions
- Acknowledgements
- References
- An Integrated Optimization
Mode for Multi-Type Aircraft
Flight Scheduling and Routing
Problem
- 1. Introduction
- 2. Literature
- 3. Methodology
- 4. A Heuristic Solution Methodology
- 5. Numerical Example
- 6. Conclusions
- Acknowledgements
- References
- A Novel Group Decision Making Method for Airport Operational Risk Management
- 1. Introduction
- 2. Review of Literature
- 3. Methodology
- 4. Case Study
- 5. Conclusions
- Acknowledgements
- References
Readership:
Readers who are interested in complex civil aviation system
Ming Wei
Ming Wei, School of Air traffic Management, Civil Aviation University of China, Tianjin 300300, China; CAAC Key laboratory of General Aviation Operation（Civil Aviation Management Institute of China）, Beijing 102202, China.
Bo Sun
Bo Sun, School of Air traffic Management, Civil Aviation University of China, Tianjin 300300, China.