Traffic control designing using model predictive control in a high congestion traffic area

Abstract

The paper investigates a designing method for urban traffic management system. A busy traffic area was chosen for test field in the 10^th district of Budapest. The control algorithm is based on model predictive control (MPC). The control aim is to relieve traffic congestion, reduce travel time and improve homogenous traffic flow. Theory and realization details of the control method are also presented. The MPC based control strategy was implemented into the test network´s management system. The applied environment contains microscopic traffic simulator, scientific mathematical software and some computational applications for the evaluation. The simulation results show that the system is able to ameliorate the network efficiency and reduce travel time. The designed MPC based traffic control strategy proves effectiveness by creating optimal flow in the network subjected to control input constraints.