Capacity analysis of the pure connected automated vehicle (CAV) traffic remains a
challenging problem due to the high-dimensional factors involved in the control design …

Traffic congestion in highway networks is one of the main issues to be addressed by today's
traffic management schemes. Automation combined with the increasing market penetration …

It is foreseeable that connected vehicles (CVs) and regular vehicles (RVs) will be operated
together on roads in the upcoming decades. The appearance of CVs provides us an …

Connected and automated vehicles (CAVs) have shown great potential in improving the
energy efficiency of road transportation. Energy savings, however, greatly depends on …

Traffic management methods aim to increase the infrastructure's capacity to lower
congestion levels. Using vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle …

Connected and autonomous vehicles (CAVs) have great potential to improve road
transportation systems. Most existing strategies for CAVs' longitudinal control focus on …

Connected and automated vehicles (CAVs) attract much attention due to their unique
behavioral characteristics and the promise to transform road transport systems as we know …

The increase in traffic volumes in urban areas makes network delay and capacity
optimisation challenging. However, the introduction of connected vehicles in intelligent …

A real-time traffic management policy that integrates traffic signal control and multi-
commodity routing of connected vehicles in networks with multiple destinations is …

Connected vehicle (CV) technology is expected to bring additional opportunities to share,
collect, and exploit various information on vehicles and their occupants. Assuming that CVs …