An Approach to Air Traf.c Density Estimation and Its Application in Aircraft Trajectory Planning
In this paper air traf.c density is introduced as a new method for predicting and resolving aircraft con.icts. Based on a simpli.ed stochastic differential equation model of aircraft dynamics, a simulation-based method is employed to predict the likelihood of aircraft presence in different part of the airspace. Air traf.c density generated thus indicates the congestion zones to be avoided. The con.ict resolution is then performed by solving an optimization trajectory planning problem. Numerical examples are provided to illustrate the ef.cacy of the proposed algorithms.
Air Traffic Management Conflict Detection and Resolution (CDR) Air Traffic Density Trajectory Plannaing.
Muna Albasman Jianghai Hu
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
706-711
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）