… Currently, traffic lights are installed in many intersections to coordinate conflicting traffic flows.
… explore ideas of autonomous intersections without traffic lights, as briefly presented below. …

… flow of vehicles and to reduce the aforementioned negative effects. Model Predictive Control
(MPC) is one of the control … from an empty network followed by a traffic flow of 0.08 [veh/s] …

… the traffic flow and emission models into a linear parameter varying (LPV) form, which leads
to an LPV-MPC control … But, there are nonlinear Model Predictive Control (MPC) approaches …

… traffic control measures to prevailing traffic conditions and features faster computation speed
than conventional model-based predictive control … brief account of the traffic flow, emission, …

… If we aim at on-line traffic simulation for predictive control purposes, this requires a lot of …
Since macroscopic traffic flow models are better suited for model-based control design …

… We propose a model-based predictive control (MPC) approach … control the traffic flows and
to prevent or to reduce traffic jams, or more generally to improve the performance of the traffic …

… traffic flow dynamics and optimization model. Section 3 describes the formulation of model
predictive controller … a brief description of traffic demand cases and control scenarios. Section …

… In this section the METANET traffic flow model that will be used in the simulations for the …
second-order macroscopic traffic flow model that represents a traffic network as a directed graph …

… Predictive Control (RBF-MPC) for freeway traffic systems is proposed in this paper. Because
of nonlinearity and uncertainty of freeway traffic flow, an … of freeway traffic flow are designed …

… predictive ARMAX model and adaptive feedback control are combined together for traffic
flow control … Finally, an optimal adaptive fuzzy predictive control scheme is proposed for the …