Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …

Digital technologies could be key to solving several open issues in the context of supply
chain management (SCM) and sustainable development. The purpose of this article is to …

Abstract Recurrent Neural Networks (RNNs), known for handling complex data tasks like
language translation and speech recognition, are seldom employed in airport management …

To achieve greater sustainability of the traffic system, the trend of traffic accidents in road
traffic was analysed. Injuries from traffic accidents are among the leading factors in the …

Long-term time-series forecasting is an extensive research topic and is of great significance
in many fields. However, the task of long-term time-series forecasting is accompanied by the …

Accurately predicting air traffic flow in terminal areas is critical for balancing demand and
capacity, particularly under challenging weather conditions. However, the complex …

Airport and terminal area traffic congestion is a growing concern of the air traffic
management (ATM) system. A major step towards mitigating the impacts of congestion is …

Airports are constantly facing a variety of hazards and threats from natural disasters to
cybersecurity attacks and airport stakeholders are confronted with making operational …

Precise prediction of terminal passenger volume is conducive to improve the service quality
of terminals. This paper proposes two short-time airport departure passenger volume …

The aim of this paper is to describe and compare seasonal effects in daily air passenger
arrivals. Multiple seasonal cycles of different lengths are usually observed in daily time …