Decision-making and planning are the core aspects of autonomous driving systems. These
factors are crucial for improving the safety, driving experience, and travel efficiency of …

Abstract Coronary Heart Disease (CHD) is a life-threatening public health problem. Many
chronic CHDs and health risks can be avoided, reversed, and reduced with proper risk …

The driving behaviors of electric vehicle (EV) and hybrid electric vehicle (HEV) drivers have
received considerable attention in the literature. The use of image recognition in …

Uncertainty prediction of vessel trajectory is essential to enhance maritime situational
awareness and traffic safety. Traditional approaches for trajectory prediction face challenges …

Multimodal synchronization has become the research highlight of the ITS, where complex
driving scenarios, various types of vehicles and diverse data sources are crucial …

At present, the design of modern vehicles requires improving driving performance while
meeting emission standards, leading to increasingly complex power systems. In …

The fast adoption of electric vehicles (EVs) has resulted in a growing concern for the
planning and operation of the distribution power system. Thus, it is crucial to …

Expressway Traffic forecasting is a crucial issue in Intelligent Transportation System (ITS),
and extensive studies have been conducted in this field. However, most existing models do …

Mild cognitive impairment (MCI) is a neuropsychological syndrome that is characterized by
cognitive impairments. It typically affects adults 60 years of age and older. It is a noticeable …

The accurate prediction of vehicle speed is crucial for the energy management of vehicles.
The existing vehicle speed prediction (VSP) methods mainly focus on road vehicles and …