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Optimal Air Traffic Flow Management with Carbon Emissions Considerations

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 (CO 2) 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 CO 2 emissions on the ATFM network. A Pareto front is developed to illustrate the trade-off between CO 2 emissions and the total delay costs. The results showed that reducing 1 kg of CO 2 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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Contributor : Ziad Jemai <>
Submitted on : Saturday, January 25, 2020 - 11:30:50 AM
Last modification on : Wednesday, October 28, 2020 - 9:52:06 AM




Sadeque Hamdan, Oualid Jouini, Ali Cheaitou, Zied Jemai, Imad Alsyouf, et al.. Optimal Air Traffic Flow Management with Carbon Emissions Considerations. Optimization of Complex Systems: Theory, Models Algorithms and Applications, 2017, ⟨10.1007/978-3-030-21803-4_106⟩. ⟨hal-02455057⟩



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