… In this paper, two hybrid Model Predictive Control (MPC) approaches for freeway traffic
control are … traffic model within an MPC framework. For obtaining discrete signals, the MPC …

… control (MPC) is proposed for mixed traffic flow in longitudinal control. Firstly, a genetic
algorithm … a time-varying MPC control framework to realize a smoother mixed traffic flow. Finally, …

… -collecting traffic data, estimating traffic equilibrium, and executing predictive control, which
is capable of interacting with practical traffic flow and dealing with real-world trajectory data. …

… Furthermore, we assume that the uncertain traffic flow d 1 and … traffic flow d 1 and the
disturbance e 7 shown in Figure 4 are, respectively, assumed to be the mean value of the input flow …

… We tested the algorithms on the real-world traffic flow data collected from 7 AMto 7 PM, 1
October to 5 October 2020. It can be seen that the proposed method outperformed both the …

… This traffic flow model uses purely … of predictive control techniques in the urban traffic
control problem, considering system constraints explicitly and, this way, guaranteeing the control …

… for dynamic signal control aiming at alleviating … traffic signal optimization control in terms
of reducing traffic congestion. It can deal with changes of traffic flow by considering future traffic …

… centralized control and distributed control. For a given link the average input traffic flow rates
… links, which transform their own output traffic flow rates into input flow rates for the given link …

… prediction errors. To achieve robust control, our method uses model predictive control, a
process … Because there are a huge number of traffic flows, aggregate traffic rates are observed …

… reflects the efficiency of the non-linear predictive control even in case of zero delays as
NMPC incorporates the future modelling of states when calculating the actual control input. …