Currently, the increasing number of daily flights emphasizes the importance of air
transportation. Furthermore, Air Traffic Management (ATM) enables air carriers to operate …

Nowadays this concept has been widely assessed due to its complexity and sensitivity for
the beneficiaries, including passengers, airlines, regulatory agencies, and other …

Abstract Machine learning (ML) plays the core function to intellectualize the transportation
systems. Recent years have witnessed the advent and prevalence of deep learning which …

The Federal Aviation Administration (FAA) is the regulatory body in the United States
responsible for the advancement, safety, and regulation of civil aviation. The FAA also …

Maritime transport is the backbone of international trade and globalization. Maritime
transport research can be roughly divided into two categories, namely the shipping side and …

The research community has paid great attention to the prediction of air traffic flows.
Nonetheless, research examining the prediction of air traffic patterns for unmanned aircraft …

Airport traffic flow prediction is a fundamental research topic in the field of air traffic flow
management. Most existing works focus on the single airport traffic flow prediction with …

Abstract In recent years, Intelligent Transportation Systems (ITS) have seen efficient and
faster development by implementing deep learning techniques in problem domains which …

In recent decades, deep learning (DL) has become a rapidly growing research direction,
redefining the state-of-the-art performances in a wide range of techniques, such as object …

The air traffic control sector (ATCS) is the basic unit of the airspace system. If we can identify
the congestion of an ATCS, it will help provide decision support for planning and daily …