Automated Air Traffic Control System Research Articles

4D Trajectory Estimation for Air Traffic Control Automation System Based on Hybrid System Theory

To resolve the problem of future airspace management under great traffic flow and high density condition, 4D trajectory estimation has become one of the core technologies of the next new generation air traffic control automation system. According to the flight profile and the dynamics models of different aircraft types under different flight conditions, a hybrid system model that switches the aircraft from one flight stage to another with aircraft state changing continuously in one state is constructed. Additionally, air temperature and wind speed are used to modify aircraft true airspeed as well as ground speed, and the hybrid system evolution simulation is used to estimate aircraft 4D trajectory. The case study proves that 4D trajectory estimated through hybrid system model can image the flight dynamic states of aircraft and satisfy the needs of the planned flight altitude profile.KEY WORDSair traffic management, 4D trajectory estimation, hybrid system model, aircraft dynamic model

A projection of future ATC data processing requirements

Forecast traffic growth for the 1980-1995 time period will exceed the capacity of the present airport and air traffic control automation system in high-density areas. If traffic growth is to be accommodated, higher levels of automation are required. The Department of Transportation Air Traffic Control Advisory Committee (September 1968-August 1969) established a computer sizing group to determine the feasibility of achieving the necessary level of automation within the projected technology. This paper presents a model of the future system, a summary of the functions automated, and estimates of the necessary computer instruction rate and storage requirements as developed by this computer sizing group.