Optimization and analytics for air traffic management
Abstract/Contents
- Abstract
- The air traffic management system is important to the United States' economy and way of life. Furthermore, it is complex and largely controlled by human decision makers. We studied and learned from these expert decision makers to facilitate the transition to an increasingly autonomous air traffic management system that leverages the strengths of both computer systems and humans to provide greater value to stakeholders. In particular, we constructed decision models and corresponding solution algorithms that enable decision-support tool development. Our approach to building the decision models and algorithms leveraged expert input and feedback, operational decision data analytics, fast-time simulations, and human-in-the-loop simulations. We utilized and extended techniques from optimization, dynamic programming, and machine learning both for developing solution algorithms and for making inferences about decisions based on operational data. In this dissertation we discuss our research on three types of decisions in the air traffic management system. The first is faced by supervisors of air traffic controllers: how to configure available airspace, controllers, and other resources to ensure safe and efficient operations in a region of airspace over a period of time. The second type of decision is faced by airlines: how to assign a set of flights to a set of slots in an Airspace Flow Program. The third type of decision is faced by air traffic flow managers: when to implement a Ground Delay Program.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2015 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Bloem, Michael Jacob |
|---|---|
| Associated with | Stanford University, Department of Management Science and Engineering. |
| Primary advisor | Bambos, Nicholas |
| Thesis advisor | Bambos, Nicholas |
| Thesis advisor | Alonso, Juan José, 1968- |
| Thesis advisor | Ye, Yinyu |
| Advisor | Alonso, Juan José, 1968- |
| Advisor | Ye, Yinyu |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Michael Jacob Bloem. |
|---|---|
| Note | Submitted to the Department of Management Science and Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2015. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2015 by Michael Jacob Bloem
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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