In recent decades, RRT* algorithm has attracted much attention because of its asymptotic
optimization. However, the RRT* algorithm still suffers from slow convergence rate and large …

The path planning of unmanned aerial vehicle is a complex practical optimization problem,
which is an important part of unmanned aerial vehicle technology. For constrained path …

Integration of trajectory optimization into sequence optimization is required for next-
generation Arrival Managers (AMANs) to support Collaborative Decision-Making (CDM) and …

Convective weather poses a major threat that compromises the safe operation of flights
while inducing delay and cost. The aircraft trajectory optimization problem under …

Hazardous weather has become a major cause of flight delays in recent years. With the
development of satellite navigation systems, the study of flight‐path optimization under …

Climate change induces an increased frequency of adverse weather, particularly
thunderstorms, posing significant safety and efficiency challenges in en route airspace …

We introduce a flight-procedure generation framework that relies on the optimal version of
the rapidly-exploring random tree (RRT*) algorithm, where nodes are connected using …

Closing the static suborbital debris hazard zone method leads to low airspace resource
utilization and long delays for civil aircraft, while the dynamic delineation of suborbital debris …

In this work, a machine translation framework is proposed to tackle the flight plan generation
in the air transport field. Diverging from the traditional human expert‐based way, a novel …

Sažetak With the rapid growth of flight volume, the impact of convective weather on flight
operations in the terminal area has become more and more serious. In this paper, the typical …