TY - GEN
T1 - Mathematical models for aircraft trajectory design: A survey
AU - Delahaye, D.
AU - Puechmorel, S.
AU - Tsiotras, P.
AU - Feron, E.
N1 - Generated from Scopus record by KAUST IRTS on 2021-02-18
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Air traffic management ensures the safety of flight by optimizing flows and maintaining separation between aircraft. After giving some definitions, some typical feature of aircraft trajectories are presented. Trajectories are objects belonging to spaces with infinite dimensions. The naive way to address such problem is to sample trajectories at some regular points and to create a big vector of positions (and or speeds). In order to manipulate such objects with algorithms, one must reduce the dimension of the search space by using more efficient representations. Some dimension reduction tricks are then presented for which advantages and drawbacks are presented. Then, front propagation approaches are introduced with a focus on Fast Marching Algorithms and Ordered upwind algorithms. An example of application of such algorithm to a real instance of air traffic control problem is also given. When aircraft dynamics have to be included in the model, optimal control approaches are really efficient. We present also some application to aircraft trajectory design. Finally, we introduce some path planning techniques via natural language processing and mathematical programming. © 2014 Springer.
AB - Air traffic management ensures the safety of flight by optimizing flows and maintaining separation between aircraft. After giving some definitions, some typical feature of aircraft trajectories are presented. Trajectories are objects belonging to spaces with infinite dimensions. The naive way to address such problem is to sample trajectories at some regular points and to create a big vector of positions (and or speeds). In order to manipulate such objects with algorithms, one must reduce the dimension of the search space by using more efficient representations. Some dimension reduction tricks are then presented for which advantages and drawbacks are presented. Then, front propagation approaches are introduced with a focus on Fast Marching Algorithms and Ordered upwind algorithms. An example of application of such algorithm to a real instance of air traffic control problem is also given. When aircraft dynamics have to be included in the model, optimal control approaches are really efficient. We present also some application to aircraft trajectory design. Finally, we introduce some path planning techniques via natural language processing and mathematical programming. © 2014 Springer.
UR - http://link.springer.com/10.1007/978-4-431-54475-3_12
UR - http://www.scopus.com/inward/record.url?scp=84902436916&partnerID=8YFLogxK
U2 - 10.1007/978-4-431-54475-3_12
DO - 10.1007/978-4-431-54475-3_12
M3 - Conference contribution
SN - 9784431544746
SP - 205
EP - 247
BT - Lecture Notes in Electrical Engineering
PB - Springer [email protected]
ER -