Research On Cooperative Operation Of 4D Flight Based On Agent

In this paper,a cooperative operation mechanism based on Agent system is proposed to solve the conflict between the increasing traffic flow and limited airspace capacity.It is assumed that 4D trajectory is widely applied in civil aviation industry.Compared with typical flight technique,the reaching time of some key navigation points is constrained by “time window” in 4D trajectory.Actually,it is a smart and accurate technique.The proposed model is consist of three agents i.e.airline,controllers and aircraft.And we focus on addressing conflict detection and resolution problem from this point of view.Firstly,in order to manage traffic flow,network management usually adjust capacity allocation based on airspace structure network.In this paper,we propose an aviation network scheme which combines navigation point network,sector network and airport network together.Furthermore,the dynamic capacity evaluation technique of the network and the relationship between dynamic capacity allocation and node transport efficiency are studied.Secondly,we studied the dynamic regulation and control problem of traffic flow based on capacity dynamic estimation.Because of the flow imbalance,there will be a local high density flight,which can easily lead to the flight conflict,so the adjustment strategy of the conflict detection and relief in the 4D flight is studied.Considering different demands of airlines,we propose a flight list sorting algorithm to change the order appropriately by which aircraft are taken into account for conflict detection in each time-step.In addition,when aircraft cannot find a conflict-free trajectory by itself,a rerouting method with minimum course deviation and fuel cost is given to help controllers solve the conflict.Simulation examples are given to demonstrate the effectiveness of proposed algorithms.Finally,it is assumed that aircraft is real-time controllable with state perception and independent decision-making abilities.The decision strategy of aircraft is designed to deal with conflict detection and resolution problem.An approximate optimal vel ocity regulation policy is developed based on greedy algorithm and decision tree with constant heading constraint.In addition,departure time is adjusted iteratively to find a conflict-free trajectory.Furthermore,in order to reduce detection error,velo city noise is introduced in conflict detection process.The algorithms are verified by simulation examples.