Freeway traffic control is a broad research area, not only interesting for its applicative
perspective, but also highly motivating for theoretical investigations. This research topic has …

This paper proposes a physics-informed reinforcement learning (RL)-based ramp metering
strategy, which trains the RL model using a combination of historic data and synthetic data …

The emergence of automated vehicles may have significant impacts on traffic flow. While
many studies suggest that fully automated vehicles can improve traffic flow by changing their …

Purpose Resilience concepts in integrated urban transport refer to the performance of
dealing with external shock and the ability to continue to provide transportation services of …

This book explores the development of PDE (partial differential equation) backstepping
controllers for the suppression of stop-and-go instabilities and oscillations in congested …

Two hierarchical control schemes for regulating traffic in freeway networks via ramp
metering are developed in this article. Both schemes are characterized by a multiclass …

Ramp metering for a bottleneck located far downstream of the ramp is more challenging
than for a bottleneck that is near the ramp. This is because under the control of a …

This paper proposes a Logic-Based Traffic Flow Control algorithm (LB-TFC) for integrated
control of Ramp Metering (RM) installations and Variable Speed Limits (VSLs) in order to …

Most studies assume the ramp to be a single lane regardless of the possibility of multiple
lanes on a freeway ramp. This assumption limits the application of previous ramp metering …

Most current RM approaches are developed for fixed bottlenecks. However, the number and
locations of bottlenecks are usually uncertain and even time‐varying due to some …