Taxi Conflict Prediction Algorithm Based on Time Bucket and Probability Distribution

Abstract

When the aircraft is taxing in the taxiway, it is necessary to predict the conflict among aircraft to avoid the conflict. According to the practical condition of the airport taxiway traffic, a time bucket-based prediction calculation method is presented, taking the distance between aircraft as the conflict prediction standard. When the probability of conflict is taken as standard, it is assumed that the actural position of aircraft follows two-dimension normal distribution, the conflict probability between two aircraft at any given time is calculated. The results show that the time bucket-based prediction taxing conflict calculation method can solve the contradiction between the optimization and real-time performance of aircraft route planning.

Keywords

• aircraft taxi
• conflict prediction
• time bucket-based
• two-dimension normal distribution