摘要: |
This study presents an aircraft landing simulation and prediction model. The model uses simple aircraft kinematics coupled with individual parameters to describe the landing process. A multiobjective optimization and a shortest path algorithm are used to predict the aircraft exit choice and taxiway path in the runway taxiway network. By recognizing pilot motivation during the landing process, several influence factors such as terminal location, runway, and weather conditions are considered in the aircraft landing simulation. Random variables such as aircraft runway crossing height, flight path angle, approach speed, deceleration rate, and runway exit speed are generated to represent the stochastic landing behavior of aircraft by using a Monte Carlo sampling technique. With real-time input data, the model could provide information on aircraft exit choice, runway occupancy times, and shortest taxiway path to an assigned terminal location for both the pilot and the air traffic controller in a ground traffic automatic control system. This model can also be used to solve runway exit location problems by providing the expected distribution of aircraft landing distances and predict aircraft runway occupancy times. An interactive computer program has been developed on an IBM RISC 6000 workstation to perform these tasks. |