A growing number of electric vehicles (EVs) is putting pressure on smart charging services.
As a foundation of informing drivers of vacant charging facilities and rationalizing pricing, an …

Compared to static aircraft wake separation during landing/departure, reducing separation
minima related to wake turbulence without compromising safety has initially demonstrated …

Efficient and resilient traffic management relies on accurate prediction of air traffic states.
However, the complex spatial-temporal dependencies of air traffic networks make this task …

Accurate sector-based air traffic flow predictions are essential for ensuring the safety and
efficiency of the air traffic management (ATM) system. However, due to the inherent spatial …

Predicting edge weights on graphs has various applications, from transportation systems to
social networks. This paper describes a Graph Neural Network (GNN) approach for edge …

This dissertation focuses on a comprehensive exploration of machine learning (ML) and
topological data analysis (TDA) with applications for engineering and clinical diagnostics …

The increasing demands of air travel and the escalating complexity of air traffic management
(ATM) necessitate advanced air traffic flow prediction and optimization methodologies. This …

In view of the poor supervision effect of the traditional monitoring cloud supervision system,
this paper puts forward a design method of Intelligent Transportation Security Cloud …