… In dense traffic, waves of traffic density propagate backward as drivers try to keep safe …
system in a model predictive control framework that effectively improves traffic flow. The vehicle …

… measures are described, that are less frequently used, but can potentially improve traffic
flow. In Chapter 3 we discuss the existing traffic flow models. The models are categorized …

… traffic flow control as the control system, in which we have the plant and therefore the control
… To construct a mathematical model of traffic flow control we use a controlled networks …

… the traffic flows in mixed networks. Next, we propose the … control methods are compared in
a qualitative and a quantitative way. As control method we propose a model predictive control (…

… PREDICTIVE CONTROL In this section, the control framework is proposed for one external
disturbance based on tube MPC [41–43] including feedback control and feedforward control. …

… macroscopic traffic flow and emission models for Model Predictive Control (MPC) for traffic
… In addition, end-point penalties based on these multi-class traffic flow and emission models …

… control technologies, model predictive control (MPC) has been employed in the area of traffic
signal control (TSC) in traffic … In summary, an efficient and accurate traffic flow predictive …

… measures such as traffic signals, dynamic route information … to control the traffic flows and
to prevent or reduce traffic jams, or more generally, to improve the performance of the traffic …

… control system scheme for urban road traffic management. The control algorithm is based on
model predictive control (… traffic flow in urban traffic area using distributed control architecture…

… In mixed traffic, where human-driven vehicles with unknown dynamics coexist, data-driven
predictive control techniques allow for CAV safe and optimal control with measurable traffic …