Ground delay programs (GDPs) are implemented by the Federal Aviation Administration (FAA) to mitigate arrival demand- capacity imbalance at an airport. Typically such conditions occur due to the impact of adverse weather on airport capacity. During a GDP flights are assigned arrival slots which may be later than their scheduled time of arrival. Under the Collaborative Decision Making (CDM) paradigm, which has been adopted since mid 90's, airlines are allowed to perform substitutions among the slots they have been assigned in order to reduce their internal costs and achieve their business objectives. Airlines may also cancel some of their flights and utilize the vacant slots by substituting some of their own flights. However, in certain...
A Ground Delay Program (GDP) is an initiative used by the FAA to manage the rate at which aircraft d...
In this paper, we present a model for slot allocation for flight landings during Ground Delay Progr...
This paper presents an algorithm that can assign flight departure delays under probabilistic airport...
In this project the Ground Delay Program (GDP) and the Collaborative Decision Making (CDM) concepts ...
When weather or other circumstances reduce the landing capacity of an airport below the level of dem...
The Ground Delay Program (GDP) is an air traffic flow management mechanism used to decrease the rate...
© 2018 Elsevier Ltd Three decades of research studies in ground delay program (GDP) decision-making,...
The Federal Aviation Administration and the avi-ation community within the U.S. have recently adopte...
This paper presents a new model and solution methodology for the arrival slot reallocation problem f...
With the ever increasing congestion at airports around the world, studies into ways of minimizing de...
Abstract — The discrepancy between the demand for arrival slots at an airport and the available arri...
This research seeks to address potential “passenger-centric ” modifications to the way that ground h...
Ground delay programs (GDPs) comprise the main interventions to optimize flight operations in conge...
The Ground Delay Program (GDP) relies heavily on the capacity of the subject airport, which, due to ...
Ground Delay Programs (GDP) are sometimes cancelled before their initial planned duration and for th...
A Ground Delay Program (GDP) is an initiative used by the FAA to manage the rate at which aircraft d...
In this paper, we present a model for slot allocation for flight landings during Ground Delay Progr...
This paper presents an algorithm that can assign flight departure delays under probabilistic airport...
In this project the Ground Delay Program (GDP) and the Collaborative Decision Making (CDM) concepts ...
When weather or other circumstances reduce the landing capacity of an airport below the level of dem...
The Ground Delay Program (GDP) is an air traffic flow management mechanism used to decrease the rate...
© 2018 Elsevier Ltd Three decades of research studies in ground delay program (GDP) decision-making,...
The Federal Aviation Administration and the avi-ation community within the U.S. have recently adopte...
This paper presents a new model and solution methodology for the arrival slot reallocation problem f...
With the ever increasing congestion at airports around the world, studies into ways of minimizing de...
Abstract — The discrepancy between the demand for arrival slots at an airport and the available arri...
This research seeks to address potential “passenger-centric ” modifications to the way that ground h...
Ground delay programs (GDPs) comprise the main interventions to optimize flight operations in conge...
The Ground Delay Program (GDP) relies heavily on the capacity of the subject airport, which, due to ...
Ground Delay Programs (GDP) are sometimes cancelled before their initial planned duration and for th...
A Ground Delay Program (GDP) is an initiative used by the FAA to manage the rate at which aircraft d...
In this paper, we present a model for slot allocation for flight landings during Ground Delay Progr...
This paper presents an algorithm that can assign flight departure delays under probabilistic airport...