The use of artificial intelligence (AI) has increased since the middle of the 20th century, as
evidenced by its applications to a wide range of engineering and science problems. Air …

Artificial Intelligence (AI) is becoming pervasive in most engineering domains, and railway
transport is no exception. However, due to the plethora of different new terms and meanings …

In December 2019, the virus SARS-CoV-2 responsible for the COVID-19 pandemic was
detected in the Chinese city of Wuhan. The virus started to spread from China and dispersed …

Air traffic flow management (ATFM) is of crucial importance for the airspace control system,
due to two factors: first, the impact of ATFM on air traffic control, including inherent safety …

This research presents the application of intelligent computing models in Air Traffic Flow
Management (ATFM). Firstly, multi-agent system in grid computing environment is applied to …

The main objective of Airport Collaborative Decision Making (A-CDM) is to allow the
stakeholders working together in more efficiently and transparently way to share data and to …

A distributed decision support system for tactical air traffic flow management is developed for
the First Integrated Center of Air Defense and Air Traffic Control (CINDACTA I) in Brasilia …

This paper is aimed at laying the groundwork for the application of operational research to
European air traffic flow management (ATFM). It is based on a project carried out at the …

Congestion has plagued air traffic in the US and in Europe for the last 20 years. To protect
air traffic control from overloads, air traffic flow management tries to anticipate and prevent …

This paper presents a new solution for Air Traffic Flow Management (ATFM) problem. The
main objective of our research is to improve computational efficiency for ATFM by combing …