Abstract

International audience; Air traffic generates workload for the air traffic controllers in charge of the airspace. For a large airspace, a single air traffic controller is not able to manage all this workload and the airspace is divided into sectors, each of them being assigned to a controller. When the traffic demand is decreasing during the night, the sectors are gathered together into groups to reduce the number of controllers in operation. Nowadays, this regrouping is performed empirically by airspace experts. In this paper, we show how the branch-and-price method can be used to compute a balanced grouping of air traffic control sectors to optimally reduce the number of controller teams during daily low flow periods.

Abstract

electric vehicles&rsquo penetration increases, more impacts on urban systems are observed and related to both driving (e.g., on traffic congestion and reduced pollution) and charging (e.g., on the electrical grid). Therefore, there is a need to design coupled incentive mechanisms. To propose and numerically evaluate such incentives, a game theory model is adopted. Its originality comes from the coupling between the charging cost and the driving decisions: to drive downtown or to charge at an e-Park & Ride hub with solar panels and then take public transport, in order to reach destination. Optimal ticket fares and solar park&rsquo s size are computed using real photovoltaic production data. Document type: Article