Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
In this paper we present methodologies for improving the demand-responsiveness of air transportation systems. The main ingredients are the flexibility in transportation capacity provided by an innovative aircraft and an integrated model where supply-demand interactions are explicitly formulated. The integrated model benefits from the simultaneous schedule planning and revenue management decisions. The schedule planning consists of schedule design and fleet assignment models. Revenue management decisions are integrated with an itinerary choice model which gives the market shares of the available itineraries in the market according to their price, travel time, number of stops and departure time of the day. The integrated model also includes spill and recapture effects based on the demand model. Furthermore, the demand model is developed for economy and business classes and the seat allocation for these classes is determined by the integrated model. The resulting model is a mixed integer nonlinear problem and we propose a heuristic to tackle with the complexity of the problem.