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Integrated Traffic Flow Based Optimization of Airport and Terminal Area

Abstract : As air traffic demand exceeds available capacity, severe congestion during peak periods occurring at airports and the surrounding terminal airspace leads to flight delays as well as potential safety issues. This paper addresses the optimization problem of integrated traffic management of airport and terminal airspace on macroscopic level. Instead of evaluating the flight conflicts as we did in our previous research, a congestion evaluation model is proposed to quantify the flights for traffic flows in the terminal airspace and the runways, meanwhile, the occupancy evaluations of taxiway network and terminals are conducted. An adapted heuristic optimization method simulated annealing is implemented to solve the problem. Optimization process is put forward based on the case studies of Paris Charles De-Gaulle airport with 2.5-hour data. The comparisons between initial traffic data and optimized solution are provided and the advantage of the proposed model is analyzed. In the aspect of time uncertainty, simulations based on the proposed model and the model of our previous work are conducted, the final results indicate that our model shows an advantage in uncertainty absorption over the previous work.
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Submitted on : Sunday, December 1, 2019 - 4:24:50 PM
Last modification on : Tuesday, October 19, 2021 - 11:02:54 AM
Long-term archiving on: : Monday, March 2, 2020 - 1:43:34 PM


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  • HAL Id : hal-02388287, version 1



Ying Huo, Daniel Delahaye, Ji Ma, Mohammed Sbihi. Integrated Traffic Flow Based Optimization of Airport and Terminal Area. SID 2019, 9th SESAR Innovation Days, Dec 2019, Athenes, Greece. ⟨hal-02388287⟩



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