Control and Optimization Methods for Traffic Signal Control in Large-scale Congested Urban Road Networks

he problem of designing real-time traffic signal control strategies for large-scale congested urban road networks via suitable application of control and optimization methods is considered. Three alternative methodologies are proposed, all based on the store-and-forward modeling (SFM) paradigm. The first methodology results in a linear multivariable feedback regulator derived through the formulation of the problem as a linear-quadratic (LQ) optimal control problem. The second methodology leads to an open-loop constrained quadratic optimal control problem whose numerical solution is achieved via quadratic-programming (QP). Finally, the third methodology leads to an open-loop constrained nonlinear optimal control problem whose numerical solution is effectuated by use of a feasible-direction algorithm. A simulation-based investigation of the signal control problem for a large-scale urban network using these methodologies is presented. Results demonstrate the efficiency and real-time feasibility of the developed generic control methods.

Published in:
2007 American Control Conference, 3132-3138
Presented at:
2007 American Control Conference, New York, NY, USA, 9-13 07 2007

 Record created 2012-05-16, last modified 2018-03-17

Rate this document:

Rate this document:
(Not yet reviewed)