Employing machine learning into 6G vehicular networks to support vehicular application
services is being widely studied and a hot topic for the latest research works in the literature …

The trend of increasing traffic demand is causing congestion on existing urban roads,
including urban motorways, resulting in a decrease in Level of Service (LoS) and safety, and …

To improve the traffic safety and efficiency of freeway tunnels, this study proposes a novel
variable speed limit (VSL) control strategy based on the model-based reinforcement …

Variable speed limit (VSL) control plays a vital role in the emerging connected automated
vehicle highway (CAVH) system, which can alleviate recurrent traffic congestion caused by …

Abstract The Variable Speed Limit (VSL) control is considered in the context of connected
vehicles acting as moving sensors, while their obedience to speed limit is enforced by a …

Most of the current variable speed limit (VSL) strategies are designed to alleviate congestion
in relatively short freeway segments with a single bottleneck. However, in reality …

The primary objective of this paper is to develop a combined variable speed limit (VSL) and
lane change guidance (LCG) controller to prevent secondary crashes (SCs) and improve …

Variable speed limit (VSL) control benefits freeway operations through dynamic speed limit
adjustment strategies for specific operation scenarios, such as traffic jams, secondary crash …

The prevailing variable speed limit (VSL) systems as an effective strategy for traffic control
on motorways have the disadvantage that they only work with static VSL zones. Under …

Freeway nonrecurrent congestion adversely affects collision risks, travel time, emissions,
and fuel consumption. Optimizing mixed flow involving Human-Driven Vehicles (HDVs) and …