TY - GEN
T1 - Potential functions for en-route air traffic management and flight planning
AU - Ramamoorthy, Krishnakumar
AU - Crassidis, John L.
AU - Singh, Tarunraj
PY - 2004
Y1 - 2004
N2 - This paper proposes an object oriented methodology and use of potential functions for efficient solutions to en-route air traffic management and flight planning in a complex airspace system. In this object oriented methodology, different objects, e.g., weather, Special Use Airspace (SUA), traffic, etc., and their attributes, e.g., weather orientation, SUA geometry, traffic density, etc., are defined by using potential functions. The interaction of the object of interest (host aircraft) and environment is modeled through an artificial potential field, whose interaction model is simple and well defined. This helps in framing a simple algorithm and produces efficient and complete solutions. The path planning and conflict detection and resolution algorithms developed for this methodology provide efficient solutions in the comprehensively defined environment model in which uncertainty is very limited. The algorithms have been implemented in a low-level flight planner. Results to validate the operation of the algorithm and feasibility of the methodology are provided and a functional layout of the flight planner is provided.
AB - This paper proposes an object oriented methodology and use of potential functions for efficient solutions to en-route air traffic management and flight planning in a complex airspace system. In this object oriented methodology, different objects, e.g., weather, Special Use Airspace (SUA), traffic, etc., and their attributes, e.g., weather orientation, SUA geometry, traffic density, etc., are defined by using potential functions. The interaction of the object of interest (host aircraft) and environment is modeled through an artificial potential field, whose interaction model is simple and well defined. This helps in framing a simple algorithm and produces efficient and complete solutions. The path planning and conflict detection and resolution algorithms developed for this methodology provide efficient solutions in the comprehensively defined environment model in which uncertainty is very limited. The algorithms have been implemented in a low-level flight planner. Results to validate the operation of the algorithm and feasibility of the methodology are provided and a functional layout of the flight planner is provided.
UR - https://www.scopus.com/pages/publications/19644384368
M3 - Conference contribution
AN - SCOPUS:19644384368
SN - 1563476703
SN - 9781563476709
T3 - Collection of Technical Papers - AIAA Guidance, Navigation, and Control Conference
SP - 658
EP - 669
BT - Collection of Technical Papers - AIAA Guidance, Navigation, and Control Conference
PB - AIAA International
T2 - Collection of Technical Papers - AIAA Guidance, Navigation, and Control Conference
Y2 - 16 August 2004 through 19 August 2004
ER -