Model-based Predictive Route Guidance Method for Urban Freeway Network

Abstract:

In order to equilibrate traffic flow on urban expressway network,and improve the efficiency of traffic operation,the paper proposes an feedback optimal control model for urban freeway by using Model-based Predictive Control (MPC) framework.The control task is formulated as a dynamic,nonlinear,discrete time optimal control problem with constrained control variables.The network traffic process is modeled by a macroscopic network traffic flow model,which is deterministic,discrete time,discrete space,and macroscopic and suitable for model based traffic control.Feedback control is realized by solving the optimization problem for each control interval over a sufficiently long future time horizon.Simulation results for a case study show that with the proposed MPC traffic control,the time-dependent traffic characteristics can be accounted for;a high degree of control benefits can be guaranteed,and reference for ATMS is provided.

Key words:macroscopic dynamic traffic flow model; model-based predictive control (MPC); route guidance control; advanced traffic management systems(ATMS)