DocumentCode :
574650
Title :
Optimal control of freeway networks based on the Link Node Cell transmission model
Author :
Muralidharan, Ajith ; Horowitz, Roberto
Author_Institution :
Dept. of Mech. Eng., Univ. of California, Berkeley, CA, USA
fYear :
2012
fDate :
27-29 June 2012
Firstpage :
5769
Lastpage :
5774
Abstract :
We present an optimal control approach to freeway traffic congestion control. A Link-Node Cell transmission model (LN-CTM) is used to represent the freeway traffic dynamics. The approach searches for solutions represented by a combination of ramp metering and variable speed control. The optimization problem corresponding to the optimal control problem based on the LN-CTM is non-convex and nonlinear. We relax the problem to a linear optimization problem, and propose an approach to map the solution of the linear optimization algorithm to the solution of the original optimal control problem. We prove that the solution derived from this approach is optimal for the original optimal control algorithm. Finally, we use a model predictive framework to demonstrate the optimal control formulation presented in this paper and discuss its potential use.
Keywords :
concave programming; linear programming; nonlinear programming; optimal control; predictive control; road traffic control; velocity control; freeway networks optimal control; freeway traffic congestion control; freeway traffic dynamics; linear optimization problem; link node cell transmission model; model predictive framework; nonconvex LN-CTM; nonlinear LN-CTM; optimization problem; ramp metering; variable speed control; Equations; Optimal control; Optimization; Predictive models; Silicon; Traffic control; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
ISSN :
0743-1619
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2012.6315236
Filename :
6315236
Link To Document :
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