TY - GEN

T1 - Trajectory Mathematical Distance Applied to Airspace Major Flows Extraction

AU - Delahaye, D.

AU - Puechmorel, S.

AU - Alam, S.

AU - Feron, E.

N1 - Generated from Scopus record by KAUST IRTS on 2021-02-18

PY - 2019/1/1

Y1 - 2019/1/1

N2 - In this paper, the problem of aircraft trajectories representation and analysis is addressed. In many operational situations, there is a need to have a value expressing how trajectories are close to each other. Some measures have been previously defined, mainly for trajectory prediction applications, all of them being based on distance computations at given positions in space and time. The approach presented here is to consider the trajectory as a whole object belonging to a functional space and to perform all computations in this space. An efficient algorithm for computing mathematical distance between trajectories is then presented and applied to the major flows extraction in the French airspace.

AB - In this paper, the problem of aircraft trajectories representation and analysis is addressed. In many operational situations, there is a need to have a value expressing how trajectories are close to each other. Some measures have been previously defined, mainly for trajectory prediction applications, all of them being based on distance computations at given positions in space and time. The approach presented here is to consider the trajectory as a whole object belonging to a functional space and to perform all computations in this space. An efficient algorithm for computing mathematical distance between trajectories is then presented and applied to the major flows extraction in the French airspace.

UR - http://link.springer.com/10.1007/978-981-13-7086-1_4

UR - http://www.scopus.com/inward/record.url?scp=85068608727&partnerID=8YFLogxK

U2 - 10.1007/978-981-13-7086-1_4

DO - 10.1007/978-981-13-7086-1_4

M3 - Conference contribution

SN - 9789811370854

SP - 51

EP - 66

BT - Lecture Notes in Electrical Engineering

PB - Springer [email protected]

ER -