Nonlinear gating control for urban road traffic network using the network fundamental diagram

This work proposes a nonlinear model predictive controller for the urban gating problem. The system model is formalized based on a research on existing models of the network fundamental diagram and the perimeter control systems. For the existing models, modifications are suggested: additional state variables are allocated to describe the queue dynamics at the network gates. Using the extended model, a nonlinear model predictive controller is designed offering a non-greedy' policy compared with previous, greedy' gating control designs. The greedy and non-greedy nonlinear model predictive control (NMPC) controllers are compared with a greedy linear feedback proportional-integral-derivative (PID) controller in different traffic situations. The proposed non-greedy NMPC controller outperforms the other two approaches in terms of travel distance performance and queue lengths. The performance results justify the consideration of queue lengths in dynamic modeling, and the use of NMPC approach for controller design. Copyright (c) 2014 John Wiley & Sons, Ltd.