Central authority–controlled air traffic flow management: An optimization approach

Research output: Contribution to journalArticlepeer-review

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Central authority–controlled air traffic flow management: An optimization approach. / Hamdan, Sadeque; Cheaitou, Ali; Jouini, Oualid et al.
In: Transportation Science, Vol. 56, No. 2, 2022, p. 265-564.

Research output: Contribution to journalArticlepeer-review

HarvardHarvard

Hamdan, S, Cheaitou, A, Jouini, O, Andersson Granberg, T, Jemai, Z, Alsyouf, I, Bettayeb, M & Josefsson, B 2022, 'Central authority–controlled air traffic flow management: An optimization approach', Transportation Science, vol. 56, no. 2, pp. 265-564. https://doi.org/10.1287/trsc.2021.1087

APA

Hamdan, S., Cheaitou, A., Jouini, O., Andersson Granberg, T., Jemai, Z., Alsyouf, I., Bettayeb, M., & Josefsson, B. (2022). Central authority–controlled air traffic flow management: An optimization approach. Transportation Science, 56(2), 265-564. https://doi.org/10.1287/trsc.2021.1087

CBE

Hamdan S, Cheaitou A, Jouini O, Andersson Granberg T, Jemai Z, Alsyouf I, Bettayeb M, Josefsson B. 2022. Central authority–controlled air traffic flow management: An optimization approach. Transportation Science. 56(2):265-564. https://doi.org/10.1287/trsc.2021.1087

MLA

VancouverVancouver

Hamdan S, Cheaitou A, Jouini O, Andersson Granberg T, Jemai Z, Alsyouf I et al. Central authority–controlled air traffic flow management: An optimization approach. Transportation Science. 2022;56(2):265-564. Epub 2021 Dec 13. doi: 10.1287/trsc.2021.1087

Author

Hamdan, Sadeque ; Cheaitou, Ali ; Jouini, Oualid et al. / Central authority–controlled air traffic flow management: An optimization approach. In: Transportation Science. 2022 ; Vol. 56, No. 2. pp. 265-564.

RIS

TY - JOUR

T1 - Central authority–controlled air traffic flow management: An optimization approach

AU - Hamdan, Sadeque

AU - Cheaitou, Ali

AU - Jouini, Oualid

AU - Andersson Granberg, Tobias

AU - Jemai, Zied

AU - Alsyouf, Imad

AU - Bettayeb, Maamar

AU - Josefsson, Billy

PY - 2022

Y1 - 2022

N2 - Despite various planning efforts, airspace capacity can sometimes be exceeded, typically because of disruptive events. Air traffic flow management (ATFM) is the process of managing flights in this situation. In this paper, we present an ATFM model that accounts for different rerouting options (path rerouting and diversion) and preexisting en route flights. The model proposes having a central authority to control all decisions, which is then compared with current practice. We also consider interflight and interairline fairness measures in the network. We use an exact approach to solve small- to medium-sized instances, and we propose a modified fix-and-relax heuristic to solve large-sized instances. Allowing a central authority to control all decisions increases network efficiency compared with the case where the ATFM authority and airlines control decisions independently. Our experiments show that including different rerouting options in ATFM can help reduce delays by up to 8% and cancellations by up to 23%. Moreover, ground delay cost has much more impact on network decisions than air delay cost, and network decisions are insensitive to changes in diversion cost. Furthermore, the analysis of the tradeoff between total network cost and overtaking cost shows that adding costs for overtaking can significantly improve fairness at only a small increase in total system cost. A balanced total cost per flight among airlines can be achieved at a small increase in the network cost (0.2%–3.0%) when imposing airline fairness. In conclusion, the comprehensiveness of the model makes it useful for analyzing a wide range of alternatives for efficient ATFM.

AB - Despite various planning efforts, airspace capacity can sometimes be exceeded, typically because of disruptive events. Air traffic flow management (ATFM) is the process of managing flights in this situation. In this paper, we present an ATFM model that accounts for different rerouting options (path rerouting and diversion) and preexisting en route flights. The model proposes having a central authority to control all decisions, which is then compared with current practice. We also consider interflight and interairline fairness measures in the network. We use an exact approach to solve small- to medium-sized instances, and we propose a modified fix-and-relax heuristic to solve large-sized instances. Allowing a central authority to control all decisions increases network efficiency compared with the case where the ATFM authority and airlines control decisions independently. Our experiments show that including different rerouting options in ATFM can help reduce delays by up to 8% and cancellations by up to 23%. Moreover, ground delay cost has much more impact on network decisions than air delay cost, and network decisions are insensitive to changes in diversion cost. Furthermore, the analysis of the tradeoff between total network cost and overtaking cost shows that adding costs for overtaking can significantly improve fairness at only a small increase in total system cost. A balanced total cost per flight among airlines can be achieved at a small increase in the network cost (0.2%–3.0%) when imposing airline fairness. In conclusion, the comprehensiveness of the model makes it useful for analyzing a wide range of alternatives for efficient ATFM.

U2 - 10.1287/trsc.2021.1087

DO - 10.1287/trsc.2021.1087

M3 - Article

VL - 56

SP - 265

EP - 564

JO - Transportation Science

JF - Transportation Science

IS - 2

ER -