Name
Title | ||
|---|---|---|
A stochastic reachability analysis approach to aircraft conflict detection and resolution |
Abstract | ||
|---|---|---|
This paper addresses aircraft conflict detection and resolution from a stochastic reachability analysis perspective. A characterization of the uncertainty on the aircraft future positions due to the presence of wind is obtained in terms of probabilistic reach sets. This involves formulating a chance-constrained optimization problem and solving it approximately via simulation, according to the so-called scenario approach. Conflict prediction can then be performed by verifying if reach sets of different aircraft get closer than some minimum safety distance. When a conflict is detected, then, the aircraft flight plans are modified so as to minimize the traveled distance while maintaining reach sets at some appropriate distance. A numerical example shows the efficacy of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/CCA.2014.6981611 | CCA |
Keywords | DocType | ISSN |
aircraft flight plans,optimisation,stochastic reachability analysis,stochastic systems,probabilistic reach sets,minimum safety distance,aircraft future positions,chance-constrained optimization problem,aircraft conflict detection,aircraft control,conflict prediction,probability,reachability analysis | Conference | 1085-1992 |
Citations | PageRank | References |
1 | 0.36 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Yang | 1 | 5 | 0.79 |
| Jun Zhang | 2 | 377 | 32.26 |
| Kai-Quan Cai | 3 | 54 | 10.16 |
| Maria Prandini | 4 | 104 | 21.72 |