Abstract
Air Transportation contributes in more than 2% of the total global emissions. In this paper, we formulate the air traffic flow management (ATFM) problem as a bi-objective mixed integer linear programming model that minimizes the carbon dioxide (CO2) emissions and the total delay cost. The model is solved using a Pareto-based scalarization technique called the weighted comprehensive criterion method. A numerical example is used to illustrate the effect of considering CO2 emissions on the ATFM network. A Pareto front is developed to illustrate the trade-off between CO2 emissions and the total delay costs. The results showed that reducing 1 kg of CO2 emissions comes at a delay cost of 1.22 €. This result can be beneficial for decision makers in determining penalty values and setting aviation emission policies.
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Acknowledgement
The authors would like to thank Prof. Ali Akgunduz, Professor of Mechanical, Industrial and Aerospace Engineering at Concordia University – Canada, for providing the fuel consumption data used in this study.
This work was supported by the University of Sharjah [grant number 1702040585].
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Hamdan, S., Jouini, O., Cheaitou, A., Jemai, Z., Alsyouf, I., Bettayeb, M. (2020). Optimal Air Traffic Flow Management with Carbon Emissions Considerations. In: Le Thi, H., Le, H., Pham Dinh, T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. WCGO 2019. Advances in Intelligent Systems and Computing, vol 991. Springer, Cham. https://doi.org/10.1007/978-3-030-21803-4_106
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