This paper presents a Variable Speed Limit (VSL) control algorithm for simultaneously
maximizing the mobility, safety and environmental benefit in a Connected Vehicle …

This article presents a novel hierarchical speed planning framework for variable speed limits
in mixed-autonomy traffic environments, leveraging server-side macroscopic control and …

A widespread deployment of vehicle automation and communication systems (VACS) is
expected in the next years. This may lead to improvements in traffic management efficiency …

Abstract A Model Predictive Control (MPC) strategy for motorway traffic management, which
takes into account both conventional control measures and control actions executed by …

Capacity drop at congested freeway bottlenecks is well known with a lot of field
observations. This paper studies coordinated ramp metering (RM) and mainstream traffic …

The primary objective of this study is to evaluate the real-time crash risk of freeways by using
real-world traffic flow data. The crash risk expressed as the potential crash likelihood is …

A variety of studies have been conducted to evaluate real-time crash risk using vehicle
trajectory data and to establish active traffic safety management measures. Speed …

Traffic waves in traffic flow significantly impact road throughput and fuel consumption and
may even lead to severe safety issues. Currently, in connected and autonomous …

Traffic congestion is a major challenge in urban areas, and is associated with longer travel
times, increased vehicle emissions, and numerous vehicle crashes. Creating an efficient …

This study investigates the application of Federated Learning (FL) in an environment of
mixed traffic flow with Connected and Automated Vehicles (CAVs). The focus of this study is …