Purpose-This paper aims to review the studies on intersection control with connected and
automated vehicles (CAVs). Design/methodology/approach-The most seminal and recent …

Connected vehicles (CVs) are conductive to promoting the transition from purely regular
vehicles to purely connected autonomous vehicles where CVs are regarded as regular …

With the rapid development of warehouse robots in logistics and other industries, research
on their path planning has become increasingly important. Based on the analysis of various …

Automatic guided vehicles, in particular, and industrial autonomous mobile robots, in
general, are commonly used to automate intralogistics processes. However, there are …

The application of deep reinforcement learning (DRL) techniques in intelligent transportation
systems garners significant attention. In this field, reward function design is a crucial factor …

Road traffic will experience a transition towards a mixed traffic flow, consisting of both
autonomous vehicles (AVs) and human-driving vehicles (HVs), scenarios where HV drivers …

Driver's behavior characteristics (DBCs) influence car-following safety. Therefore, this paper
aimed to analyze the effect of different DBCs on the car-following safety based on the …

Motivated by the promising benefits of connected and autonomous vehicles (CAVs) in
improving fuel efficiency, mitigating congestion, and enhancing safety, numerous theoretical …

En la actualidad, se ha evaluado el potencial de la robótica como una herramienta valiosa
para el apoyo del tratamiento de la demencia. El propósito de este estudio es realizar un …

Department of Transportation. The consortium includes USF (lead), the University of
California, Berkeley, Texas A&M University, and the University of Puerto Rico, Mayagüez …