DEVELOPMENT AND IMPLEMENTATION OF AN ADAPTIVE CONTROL STRATEGY IN A TRAFFIC SIGNAL NETWORK: THE VIRTUAL-FIXED-CYCLE APPROACH
Presented is a new adaptive control strategy for coordinating and synchronizing signals in a network using the virtual-fixed cycle concept. The strategy uses a distributed dynamic programming (DDP) algorithm to determine phase durations that are constrained by minimum and maximum green cycles at each intersection and, when operating in coordinated mode, by a virtual cycle length as well as by virtual offsets that are updated based on real time. The study's goal is to provide continuously optimized controls in response to time dependent variations in demand. The distributed algorithm is executed by means of a three layer control architecture superimposed on a rolling independent adaptive intersection controller. Both implementation and field testing were successfully performed for the strategy in a major U.S. suburban arterial corridor.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/0080439268
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Corporate Authors:
The Boulevard, Langford Lane
Kidlington, Oxford United Kingdom OX5 1GB -
Authors:
- Gartner, N H
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Conference:
- Transportation and Traffic Theory in the 21st Century. Proceedings of the 15th International Symposium on Transportation and Traffic Theory
- Location: University of South Australia in Adelaide, Austral
- Date: 2002-7-16 to 2002-7-18
- Publication Date: 2002
Language
- English
Media Info
- Features: Figures; References;
- Pagination: p. 137-155
Subject/Index Terms
- TRT Terms: Adaptive control; Distributed control; Dynamic programming; Field tests; Green interval (Traffic signal cycle); Implementation; Optimization; Strategic planning; Synchronous control; Traffic control; Traffic signal control systems; Virtual reality
- Subject Areas: Highways; Operations and Traffic Management; Research;
Filing Info
- Accession Number: 00929733
- Record Type: Publication
- ISBN: 0080439268
- Files: TRIS, ATRI
- Created Date: Aug 2 2002 12:00AM