Abstract

In this project the Ground Delay Program (GDP) and the Collaborative Decision Making (CDM) concepts have been studied. A statistical analysis on all GDPs that occurred during April of 2018 and during the year 2006 in the United States of America has been done. Some statistics have been derived on the number of GDPs and their causes. Results show that the 90% of the GDPs took place in only 13 and 16 airports, respectively. In both statistics Newark (EWR), in New York, have been the airport with more regulations. In addition, in April the 87% of the GDPs were caused by bad weather conditions versus a 74% in 2006. Furthermore, a complex study has been done at 2006 as the assigned delay and the number of affected flights per airport showing that the 90% of the total delay was assigned only in 10 airports, being Chicago the airport with more delay assigned. The same behaviour was observed with the number of affected flights: 90\\% of the flights has been related to only 10 different airports and Chicago again, was the airport with more affected flights. The results of the number of affected flights and the assigned delay have indicated a relationship. However, many airports with more flights and delay are also in the highest positions of the number of GDPs per airport list. The last part of the project is a simulation of as deterministic GHP for two different scenarios using Matlab. An optimal allocation of slots to flights taking into account its cost and the number of connection passengers of each flight has been analysed. The results have shown an exponential behaviour which increases for a high airport acceptance rates and when the flights have connection passengers. Using Ratio-by-Schedule the minimum costs have been obtained.