In the near future, our streets will be populated by myriads of autonomous self-driving
vehicles to serve our diverse mobility needs. This will raise the need to coordinate their …

Vehicle Group Intelligence (VGI) represents a significant research domain that contributes to
the advancement of intelligent transportation systems. This study employs bibliometric …

Connected and automated vehicles (CAVs) have the potential to improve safety by reducing
and mitigating traffic accidents. They can also provide opportunities to reduce transportation …

Improper handling of on-ramp merging may cause severe decrease of traffic efficiency and
contribute to lower fuel economy, even increasing the collision risk. Cooperative control for …

Recognition of necessities of connected and automated vehicles (CAVs) is gaining
momentum. CAVs can improve both transportation network efficiency and safety through …

This paper presents a longitudinal freeway merging control algorithm for maximizing the
average travel speed of fully automated connected vehicles. Communication with a roadside …

Connected and automated vehicles (CAVs) show great potential to improve both traffic
efficiency and safety by sharing information. This paper addresses the problem of …

Vehicle merging is one of the main causes of reduced traffic efficiency, increased risk of
collision, and fuel consumption. Connected and automated vehicles (CAVs) can improve …

A major challenging issue related to the emerging mixed traffic vehicular system, composed
of connected and automated vehicles (CAVs) together with human-driven vehicles, is the …

Gap selection and dynamic speed profiles of interacting vehicles at on-ramps affect the
safety and efficiency of highway merging sections. This paper puts forward a hierarchical …