Air traffic conflict resolution via light propagation modeling

The analysis of air traffic growth expects a doubling in the flights number over the next 20 years. The Air Traffic Management (ATM) will therefore have to absorb this additional burden and to increase the airspace capacity, while ensuring at least equivalent standards of safety. The European project SESAR was initiated to propose solutions to this problem. It relies on a new concept of air traffic control, known as 4D (3D + time) trajectory planning, which consists in exploiting the new Flight Management System (FMS) abilities that ensure that the aircraft is at a given position at a given moment. For each flight, a reference trajectory, called Reference Business Trajectory (RBT), is requested by the operating airline. During the flight, conflict situations may nevertheless occur, in which two or several aircraft can dangerously approach each other. In this case, it is necessary to modify one or more trajectories to ensure that minimum separation standards (currently 5 Nm horizontally and 1000 ft vertically) are still satisfied. Moreover, it is desirable that proposed new trajectories deviate as little as possible from RBTs. Several methods have been tested to find an optimal solution to address this problem including genetic algorithm[1] and navigation function based approach[2]. The first approach can not guarantee a feasible (conflict-free) solution for a given time computing. The second one does not take into account the constraints imposed by ATM, such as bounded velocity.

Data and Resources

Additional Info

Field Value
Source Proceedings of TOGO 2010
Author Dougui, Nour Elhouda, Delahaye, Daniel, Mongeau, Marcel, Puechmorel, Stéphane
Maintainer CCSD
Last Updated May 7, 2026, 07:31 (UTC)
Created May 7, 2026, 07:31 (UTC)
Identifier hal-00934770
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Ecole Nationale de l'Aviation Civile (ENAC)
coverage Toulouse, France
creator Dougui, Nour Elhouda
date 2010-08-31T00:00:00
harvest_object_id 4e5010fd-3f92-4355-b142-00e2eb3cefbd
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-10-22T00:00:00
set_spec type:COMM