Control of Urban Traffic Network Based on Mixed Logical Dynamical Modeling and Constrained Predictive Control Approach

By increasing of urban population, the require to use vehicles has increased dramatically. Thus in large cities the importance of urban traffic control has greatly increased. In this paper mixed logical dynamical (MLD) model is used to model urban traffic control. Then predictive control approach based on MIQP optimization is used to control this MLD model. Simulation results in MATLAB software shows that MLD modeling with constrained predictive control strategy can effectively improve urban traffic control.