Network traffic flow prediction on a fine-grained spatio-temporal scale is essential for
intelligent transportation systems, and extensive studies have been carried out in this area …

The use of a Model Predictive Controller (MPC) in an urban traffic network allows for
controlling the infrastructure of a traffic network and errors in its operations. In this research …

In this study, we assess a cooperative bus-holding transit signal priority strategy (C-BHTSP)
in a connected and automated vehicles (CAV) environment. The research objectives of this …

Research on adaptive traffic signal control (ATSC) extends back to at least the 1960s, and
many ATSC methods have been proposed over the years. This paper provides a review of …

This article presents a model predictive control (MPC) approach for the management of
traffic lights (TLs) at a single road intersection. The proposed controller incorporates a …

Until recently, SUMO users could not model the behavior of a ring-and-barrier traffic signal
via existing signal types, which left North American SUMO users without the direct ability to …

This paper proposes modified model predictive control (MMPC) for coordinated signals,
aiming to enhance a model's fidelity to the realistic traffic environment by relaxing typical …

Traffic congestion is a serious problem in the US, and traffic signal control is one of the
effective solutions to congestion. Previous research on model predictive control (MPC) …

This paper presents a model predictive control (MPC) approach for optimally managing the
traffic light (TL) signals at a road junction. The objective is to improve queue balancing …

This paper presents a field deployment experiment of a real-time traffic signal control
algorithm. We implemented the model predictive control (MPC) algorithm based on the …