Microscopic traffic flow models enable predictions of traffic operations, which allows traffic
engineers to assess the efficiency and safety effects of roadway designs. Modeling vehicle …

Conventional reinforcement learning (RL) models of variable speed limit (VSL) control
systems (and traffic control systems in general) cannot be trained in real traffic process …

This paper presents a cooperative traffic control strategy to increase the capacity of
nonrecurrent bottlenecks such as work zones by making full use of the spatial resources …

This paper develops a model-based hierarchical control method for coordinated ramp
metering on freeway networks with multiple bottlenecks and on-and off-ramps. The controller …

Variable speed limits (VSLs) are a common traffic control measure to resolve freeway jam
waves. State-of-the-art model predictive control (MPC) approaches of VSLs are developed …

The study aims to evaluate the performance of the transfer learning algorithm to enhance the
transferability of a deep reinforcement learning-based variable speed limits (VSL) control …

Jam-absorption driving (JAD) is a novel connected and automated vehicle-based (CAV-
based) control strategy that uses either a single or several absorbing cars to clear moving …

In the conventional variable speed limit (VSL) strategy, the control area is fixed under
confined conditions. With the facility of the roadside unit, the control area for the VSL will …

The cell transmission model (CTM) is important for solving macroscopic traffic problems.
Although some studies have been conducted for multiclass CTM, a simplified CTM for traffic …

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 …