Flight Rescheduling to Improve Passenger Journey during Airport Access Mode Disruptions

Geoffrey Scozzaro (1) , Ji Ma (2) , Daniel Delahaye (1) , Eric Feron (3) , Catherine Mancel (1)

1 ENAC - Ecole Nationale de l'Aviation Civile
2 CAUC-ENAC - Joint Research Center of Applied Mathematics for ATM
3 KAUST - King Abdullah University of Science and Technology [Saudi Arabia]

Disruptions on airport access mode impact the passenger journey. This paper shows that the impact can be mitigated with a modest tactical rescheduling of flights. Operational constraints related to connecting flights, minimum turnaround time, runway throughput limitations, terminal and taxi network capacities are considered. In order to solve this optimization problem, we implement a simulated annealing coupled with a simulation-based evaluation and a sliding time window. We propose a data-driven approach to simulate the passenger arrival process at the airport. The coordination mechanism has been evaluated on several scenarios with different levels of disruption. New flight schedules and runway assignments obtained after optimization succeed in reducing up to 70% the number of stranded passengers at the airport by only assigning on average a 6-minute delay to the flight set.

Mots clés: Disruption management; Flight schedule optimization; Passenger-oriented metric; Intermodality

Domaines: Intelligence artificielle [cs.AI]

Geoffrey Scozzaro, Ji Ma, Daniel Delahaye, Eric Feron, Catherine Mancel. Flight Rescheduling to Improve Passenger Journey during Airport Access Mode Disruptions. International Conference on Research in Air Transportation (ICRAT 2022), Jun 2022, Tampa, United States. ⟨hal-03701665⟩