DocumentCode
2066732
Title
Aircraft trajectory planning with collision avoidance using mixed integer linear programming
Author
Richards, Arthur ; How, Jonathan P.
Author_Institution
Space Syst. Lab., MIT, Cambridge, MA, USA
Volume
3
fYear
2002
fDate
2002
Firstpage
1936
Abstract
Describes a method for finding optimal trajectories for multiple aircraft avoiding collisions. Developments in spacecraft path-planning have shown that trajectory optimization including collision avoidance can be written as a linear program subject to mixed integer constraints, known as a mixed-integer linear program (MILP). This can be solved using commercial software written for the operations research community. In the paper, an approximate model of aircraft dynamics using only linear constraints is developed, enabling the MILP approach to be applied to aircraft collision avoidance. The formulation can also be extended to include multiple waypoint path-planning, in which each vehicle is required to visit a set of points in an order chosen within the optimization.
Keywords
aircraft control; collision avoidance; dynamics; integer programming; linear programming; aircraft dynamics; aircraft trajectory planning; approximate model; collision avoidance; mixed integer linear programming; multiple waypoint path-planning; trajectory optimization; Air traffic control; Collision avoidance; Military aircraft; Mixed integer linear programming; Path planning; Remotely operated vehicles; Space vehicles; Trajectory; Unmanned aerial vehicles; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2002. Proceedings of the 2002
ISSN
0743-1619
Print_ISBN
0-7803-7298-0
Type
conf
DOI
10.1109/ACC.2002.1023918
Filename
1023918
Link To Document