The use of artificial intelligence (AI) has increased since the middle of the 20th century, as
evidenced by its applications to a wide range of engineering and science problems. Air …

Detecting and solving aircraft conflicts, which occur when aircraft sharing the same airspace
are too close to each other according to their predicted trajectories, is a crucial problem in …

The n aircraft conflict resolution problem is highly combinatorial and can be optimally solved
using classical mathematical optimisation techniques only for small problems involving less …

Artificial neural networks (ANNs) have been popularly applied for stock market prediction,
since they offer superlative learning ability. However, they often result in inconsistent and …

With the rapid growth of flight flow, the workload of controllers is increasing daily, and
handling flight conflicts is the main workload. Therefore, it is necessary to provide more …

The conflict resolution problem in Air Traffic Management is tackled in this paper by using a
mixed integer linear approximation to a Mixed Integer Nonlinear Optimization (MINO) model …

Abstract The aircraft Conflict Detection and Resolution (CDR) problem in air traffic
management consists of finding a new configuration for a set of aircraft such that conflict …

摘要无人机感知与规避技术是实现未来无人机空域集成应用的核心技术之一,
也是无人机自主化, 智能化的重要标志. 近年来无人机感知与规避相关政策法规 …

In order to avoid conflicts in the air traffic scenario, this paper proposed a collision avoidance
method based on deep deterministic policy gradient (DDPG). Before the entering aircraft …

An exact mixed integer nonlinear optimization (MINO) model is presented for tackling the
aircraft conflict detection and resolution problem in air traffic management. Given a set of …