期刊
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
卷 17, 期 2, 页码 163-174出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trc.2008.10.002
关键词
Traffic signal control; Traffic congestion; Store-and-forward modeling; Control methods in transportation systems
The problem of designing network-wide traffic signal control strategies for large-scale congested urban road networks is considered. One known and two novel methodologies, all based on the store-and-forward modeling paradigm, are presented and compared. The known methodology is a linear multivariable feedback regulator derived through the formulation of a linear-quadratic optimal control problem. An alternative, novel methodology consists of an open-loop constrained quadratic optimal control problem, whose numerical solution is achieved via quadratic programming. Yet a different formulation leads to an open-loop constrained nonlinear optimal control problem, whose numerical solution is achieved by use of a feasible-direction algorithm. A preliminary simulation-based investigation of the signal control problem for a large-scale urban road network using these methodologies demonstrates the comparative efficiency and real-time feasibility of the developed signal control methods. (C) 2008 Elsevier Ltd. All rights reserved.
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