Automated air traffic control for non-towered airports
Abstract/Contents
- Abstract
- The majority of midair collisions involve general aviation aircraft, and these accidents tend to occur in the vicinity of airports. This work proposes a concept for an autonomous air traffic control system for non-towered airports. The system is envisioned to be advisory in nature and would rely on observations from a ground-based surveillance system to issue alerts over the common traffic advisory frequency. The behavior of aircraft in the airport pattern is modeled as a hidden Markov Model (HMM) whose parameters are learned from real-world radar observations. To determine the optimal advisories that reduce the risk of collision, the problem is formulated as a partially observable semi-Markov decision process (POSMDP). In order to address the computational complexity of solving the problem, different approximation methods including exponential sojourn times, phase-type distributions, online algorithms, and particle filters for belief estimation are investigated. Simulation results are presented for both nominal and learned airport models.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2016 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Mahboubi, Zouhair | |
|---|---|---|
| Associated with | Stanford University, Department of Aeronautics and Astronautics. | |
| Primary advisor | Kochenderfer, Mykel J, 1980- | |
| Thesis advisor | Kochenderfer, Mykel J, 1980- | |
| Thesis advisor | Erzberger, Heinz | |
| Thesis advisor | Kroo, Ilan | |
| Thesis advisor | Pavone, Marco, 1980- | |
| Advisor | Erzberger, Heinz | |
| Advisor | Kroo, Ilan | |
| Advisor | Pavone, Marco, 1980- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Zouhair Mahboubi. |
|---|---|
| Note | Submitted to the Department of Aeronautics and Astronautics. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2016. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2016 by Zouhair Mahboubi
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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