Abstract
Technological advances are required to accommodate air traffic control systems for the future growth of air traffic. Particularly, detection and resolution of conflicts between aircrafts is a problem that has attracted much attention in the last decade becoming vital to improve the safety standards in free flight unstructured environments. We propose using the archive simulated annealing-based multiobjective optimization algorithm to deal with such a problem, accounting for three admissible maneuvers (velocity, turn, and altitude changes) in a multiobjective context. The minimization of the maneuver number and magnitude, time delays, or deviations in the leaving points are considered for analysis. The optimal values for the algorithm parameter set are identified in the more complex instance in which all aircrafts have conflicts between each other accounting for 5, 10, and 20 aircrafts. Moreover, the performance of the proposed approach is analyzed by means of a comparison with the Pareto front, computed using brute force for 5 aircrafts and the algorithm is also illustrated with a random instance with 20 aircrafts.
Highlights
Cargo and air traffic (AT) congestion has experienced a general exponential growth throughout the world over the last decade
In this paper we propose using simulated annealing to deal with a conflict detection and resolution (CDR) problem accounting for three admissible maneuvers in a multiobjective context
In the approach we propose, we account for three types of aircraft maneuvers: velocity change (VC), altitude change (AC), and turn change (TC)
Summary
Cargo and air traffic (AT) congestion has experienced a general exponential growth throughout the world over the last decade. There are several decision support tools that reduce the workload of both AT controllers and pilots and optimize their capacity, for example, the detection and resolution of conflicts in airspace sectors, landings and takeoffs management in airports, and organizational systems of the workload of AT controllers to better organize their tasks to increase productivity These technological advances will allow current ATC systems to accommodate the future growth of air traffic. The archive simulated annealing-based multiobjective optimization algorithm (AMOSA) has been adapted to the CDR problem accounting for objectives such as minimizing the maneuver number and magnitude, time delays, or deviations in the leaving points Both the possibility of performing three types of maneuvers and the multiobjective context make this paper an original contribution regarding previous works on CDR problems.
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