Traffic prediction plays a crucial role in alleviating traffic congestion which represents a
critical problem globally, resulting in negative consequences such as lost hours of additional …

Clustering is an unsupervised learning technology, and it groups information (observations
or datasets) according to similarity measures. Develo** clustering algorithms is a hot topic …

Trajectory planning for connected and automated vehicles (CAVs) has the potential to
improve operational efficiency and vehicle fuel economy in traffic systems. Despite abundant …

Vehicle automation and communication technologies are considered promising approaches
to improve operational driving behavior. The expected gradual implementation of …

This study presents a novel framework and open-source tools for simulating and managing
connected and automated mobility (CAM) systems, taking into account their hierarchical …

In the future, road traffic will incorporate a random mix of manual vehicles and cooperative
adaptive cruise control (CACC) vehicles, where a CACC vehicle will degrade to an adaptive …

It has been well documented that the mixed traffic flow of human-driven vehicles (HDVs) and
connected and automated vehicles (CAVs) causes an unsound communication environment …

Since connected and autonomous buses (CABs) have great potential of being operated in
partially connected environment and raise great impact on mixed traffic flow, this study …

With the emergence of connected and automated vehicles (CAVs), the mixed traffic
environment where conventional human-driven vehicles (HVs) share the road space with …

With the development of autonomous driving technology, it is foreseeable that connected
and automated vehicles (CAVs) will be fully popularized in people's lives. During this …