Safety-critical systems like air traffic control (ATC) are usually less automated than might be
expected by the public, so human intelligence will remain at the core in the decision-making …

Congestion is a problem at airports where capacity does not meet demand. At many such
airports, airlines must request time slots for the purpose of landing or take off. Given the …

This study proposes a decision support framework (DSF) based on two data envelopment
analysis (DEA) models in order to evaluate the urban road transportation of countries for …

With the development and application of game theory, it is widely used in various fields. As
the importance of traffic problems has gradually increased in recent years, many scattered …

Motivated by a recent air traffic flow management (ATFM) initiative in the Southeast Asia
region, this paper considers a new ATFM model that integrates Minutes-In-Trail (MINIT) with …

The field of aviation research is entering the era of big data. While data-driven
advancements in aviation have clearly brought about applicable models and results with …

Abstract Efficient planning of Airport Acceptance Rates (AARs) is key for the overall
efficiency of Traffic Management Initiatives such as Ground Delay Programs (GDPs). Yet …

Ground delay programs (GDPs) comprise the main interventions to optimize flight operations
in congested air traffic networks. The core GDP objective is to minimize flight delays, but this …

Airline crew scheduling is a very important part of the operational planning of commercial
airlines, but it is a linear integer programming problem with multi-constraints. Traditionally …

We propose a model which can be utilized within a collaborative decision making (CDM)
framework for rescheduling of arrivals and departures. The proposed mathematical program …