Automated air traffic control for non-towered airports [electronic resource]
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| Call number | Status |
|---|---|
| 3781 2016 M |
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Description
Creators/Contributors
- Author/Creator
- Mahboubi, Zouhair.
- Contributor
- Kochenderfer, Mykel J., 1980- primary advisor.
- Erzberger, Heinz, advisor.
- Kroo, Ilan, advisor.
- Pavone, Marco, 1980- advisor.
- Stanford University. Department of Aeronautics and Astronautics.
Contents/Summary
- Summary
- 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.
Bibliographic information
- Publication date
- 2016
- Note
- Submitted to the Department of Aeronautics and Astronautics.
- Note
- Thesis (Ph.D.)--Stanford University, 2016.
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