Tactical conflict solver assisting air traffic controllers using deep reinforcement learning

D Sui, C Ma, C Wei - Aerospace, 2023 - mdpi.com
To assist air traffic controllers (ATCOs) in resolving tactical conflicts, this paper proposes a
conflict detection and resolution mechanism for handling continuous traffic flow by adopting …

Flight Conflict Resolution and Trajectory Recovery Through Mixed Integer Nonlinear Programming Based on Speed and Heading Angle Change

X Liu, G **ao - Transportation Research Record, 2024 - journals.sagepub.com
A scheme for conflict resolution with trajectory recovery is proposed to solve the problem of
multi-aircraft flight conflict. First, the conflict resolution problem is modeled as an optimal …

Conflict resolution strategy based on deep reinforcement learning for air traffic management

D Sui, C Ma, J Dong - Aviation, 2023 - ijspm.vgtu.lt
With the continuous increase in flight flows, the flight conflict risk in the airspace has
increased. Aiming at the problem of conflict resolution in actual operation, this paper …

A framework for optimising flight efficiency of a crossing waypoint by balancing flight conflict frequency and flight-level usage benefits

D Sui, K Liu - The Aeronautical Journal, 2024 - cambridge.org
With the increase of air transportation, some crossing waypoints (CWPs) are becoming
bottlenecks in the operation of air traffic networks. This paper presents a CWP operation …

Meta-heuristic algorithm for aircraft pre-tactical conflict resolution with altitude and heading angle change maneuvers

RK Cecen, T Saraç, C Cetek - Top, 2021 - Springer
Aircraft conflict resolution is of great importance for the safe and efficient management of air
traffic. This study proposes a two-step optimization approach for the aircraft conflict …

Optimization approach to data-driven air traffic flow management

X Diao, S Lu - Transportation Research Record, 2022 - journals.sagepub.com
An integer programming model for data-driven air traffic flow management that extends the
state-of-the-art approach of Bertsimas and Patterson was developed. The major contribution …

On the underlying dynamics of traffic conflicts related to stochastic behaviour

Z Öreg, HS Shin, A Tsourdos - Proceedings of the Institution …, 2023 - journals.sagepub.com
The aim of this paper is to analyse why and how air traffic conflicts occur as a result of the
stochastic behaviour of both the ownship and the intruder and to show how system-level …

Evolution mechanism and optimisation of traffic congestion

F Sun, X Xu, H Zhang, D Shen, Y Mu… - The Aeronautical …, 2024 - cambridge.org
Air route networks can no longer meet operational efficiency requirements because of the
rapid growth of complex traffic flows. Machine learning is employed to investigate the …

A Systematic Study on Solving Aerospace Problems Using Metaheuristics

CAS Junior, MA Pereira, A Passaro - arxiv preprint arxiv:2411.02574, 2024 - arxiv.org
Complex engineering problems can be modelled as optimisation problems. For instance,
optimising engines, materials, components, structure, aerodynamics, navigation, control …

Analysis of the traffic conflict situation for speed probability distributions

Z Öreg, HS Shin, A Tsourdos - The Aeronautical Journal, 2023 - cambridge.org
The increasingly widespread application of drones and the emergence of urban air mobility
leads to a challenging question in airspace modernisation: how to create a safe and …