The advancement in sensor technologies, mobile network technologies, and artificial
intelligence has pushed the boundaries of different verticals, eg, eHealth and autonomous …

The emergence of vehicle-to-everything (V2X) technology offers new insights into
intersection management. This, however, has also presented new challenges, such as the …

Connected automated vehicles (CAVs) have untapped potential to regulate mixed traffic by
orchestrating the movement of human-driven vehicles (HVs) at intersections. This research …

In order to resolve the driving conflict and improve the safety and efficiency of autonomous
vehicles at unsignalized intersections, a new decision-making method based on game …

A critical challenge that future autonomous driving systems face is improving the ability to
cope with complex real-world interaction scenarios such as uncontrolled intersections. In the …

The growing interdependence between power distribution networks (PDNs) and
transportation networks (TNs) has driven recent research on power-transportation …

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 …

Unsignalized intersection driving is challenging for automated vehicles. For safe and
efficient performances, the diverse and dynamic behaviors of interacting vehicles should be …

Intelligent vehicles passing through intersections in platoons have the potential to reduce
speed fluctuations and improve traffic efficiency. This paper centers on the cooperative …

The connected vehicle (CV) that integrates vehicle intelligence and communication network
technology is one of the main methods to approach intelligent transportation, which is of …