Major aviation organizations have highlighted the need to adopt artificial intelligence (AI) to
transform operations and improve efficiency and safety. However, the aviation industry …

Traffic flow forecasting is an important function of intelligent transportation systems. With the
rise of deep learning, building traffic flow prediction models based on deep neural networks …

The integration of artificial intelligence of things (AIoT) is transforming aviation health
monitoring systems by combining extensive data collection with advanced analytical …

This paper introduces an innovative consensus algorithm for managing Unmanned Aircraft
System Traffic (UTM) through blockchain technology, a highly secure consensus protocol, to …

In a dynamic environment, autonomous driving vehicles require accurate decision-making
and trajectory planning. To achieve this, autonomous vehicles need to understand their …

The rapid advancement of unmanned aerial systems in various civilian roles necessitates
improved safety measures during their operation. A key aspect of enhancing safety is …

Accurate aircraft trajectory prediction is fundamental for enhancing air traffic control systems,
ensuring a safe and efficient aviation transportation environment. This research presents a …

Collect ATC big data, according to the characteristics of ATC big data, perform data fusion
on the data, process the trajectory data by using the improved clustering algorithm, and …

Accurately predicting aircraft trajectory plays a crucial role in optimizing air traffic
management systems and ensuring the safety and efficiency of aviation transportation. In …

With the rapid growth of unmanned aerial vehicles development and utility, the aviation
industry increasingly seeks advancements in predictive modeling to enhance airspace …