Optimization of Flight Rescheduling Problem under Carbon Tax

Mohamed Ali Kammoun,Sadok Turki,Nidhal Rezg

doi:10.3390/su12145576

Abstract

The flight rescheduling problem is one of the major challenges of air traffic issue. Unforeseen bad weather conditions stimulate air traffic congestion and make the initial scheduling infeasible, resulting in significant economic losses for passengers and airlines. Furthermore, due to rigorous environmental legislations, flight rescheduling becomes a more complicated problem, as it has to deal with flight delays on the one hand, and carbon emissions on the other hand. In this paper, we address the flight rescheduling problem with an environmental requirement subject to the air capacity limitation due to bad weather conditions. A new strategy is proposed to minimize the disruption effects on planned flights, which adopted ground delay, longer route change, flight cancellation, as well speed adjustment to arrive at a scheduled time. Firstly, the objective of this study is to determine the economical flights plan in line with the new available air capacity. Secondly, by considering the environmental impact of the kerosene consumption, we illustrate the contribution of an economical decision to aircraft emissions. Experiment results are provided to show the efficiency of the proposed strategies and genetic algorithm as the used optimization method. Furthermore, the impacts of carbon tax and cost of arrival delay on the flights carbon emissions are studied.

Highlights

With accelerating industrialization, global transportation and urbanization, many countries are faced with tremendous pressure for containing enormous carbon emissions and air pollution while maintaining high economic growth
We aim to approach the flight rescheduling problem by using a mathematical modeling and metaheuristic optimization method with the genetic algorithm to provide an optimal rescheduling flight, that minimizes on hand the total flight delays and the global carbon quantity emitted by flights taken into account of all rescheduling strategies
In the present flight rescheduling problem, each flight plan solution is presented by a chromosome in which we suggest a new encoding for FRP using the genetic algorithm

Summary

Introduction

Global transportation and urbanization, many countries are faced with tremendous pressure for containing enormous carbon emissions and air pollution while maintaining high economic growth. Different sectors in the world are responsible for carbon dioxide emissions (CO2). The industrial activities are responsible for more than 50% of the total global CO2 emissions [4]. The aircraft fleet in the world continues to increase with an exponential rate [11,12]. This increase brings into question the air traffic capacity that should adapt the growing demand, as well as the environmental sustainability in front of the pollutants amount emitted by flights. One of the primary effects for this limited-air-capacity is the almost permanent delay in flights due to frequent air navigation congestion

Objectives

Results

Conclusion