Artificial intelligence (AI) relies on data and algorithms. State-of-the-art (SOTA) AI smart
algorithms have been developed to improve the performance of AI-oriented structures …

Over the years, a number of semisupervised deep‐learning algorithms have been proposed
for time‐series classification (TSC). In semisupervised deep learning, from the point of view …

Rapid urbanization and globalization have resulted in intolerable congestion and traffic,
necessitating the investigation of Intelligent Transportation Systems (ITS). ITS employs …

Traffic surveillance cameras are the eyes of the Intelligent Transportation Systems (ITS).
However, they are currently isolated and can only extract information from each of their fixed …

Accurately identifying traffic crash risk factors is an important way to improve freeway safety.
The purpose of this research is to reveal the internal coupling mechanisms of and …

Today the tasks of complex artificial and natural objects control have come to the fore in the
majority of subject domains. The efficiency and effectiveness of solving these tasks directly …

Recent studies on traffic congestion prediction have paved a promising path towards the
reduction of potential economic and environmental loss. However, at the city-wide scale …

This article proposes the operating status prediction model at electric vehicle (EV) charging
stations based on the spatiotemporal graph convolutional network (SGCN). The SGCN …

With the development of freeway system informatization, it is easier to obtain the traffic flow
data of freeway, which are widely used to study the relationship between traffic flow state …

Traffic congestion is a long-lasting worldwide problem and even becoming more severe in
well-developed regions. Reversible lanes have been used worldwide on various road types …