An Adaptive Control Strategy for Signalized Intersections

by Hobih Chen, SRA Technologies Inc, Alexandria, VA, USA,
Charles C. Liu, SRA Technologies Inc, Alexandria, VA, USA,
Stephen L. Cohen, SRA Technologies Inc, Alexandria, VA, USA,
Philip J. Tarnoff, SRA Technologies Inc, Alexandria, VA, USA,
Roy L. Sumner, SRA Technologies Inc, Alexandria, VA, USA,



Document Type: Proceeding Paper

Part of: Microcomputer Applications in Transportation II

Abstract: This paper presents a microprocessor-based computational strategy for real-time demand-responsive traffic signal control. The strategy, termed OPAC (Optimization Policy for Adaptive Control), employs on-line traffic models that relax the reliance on predicted or historical data. OPAC has the following features: (1) it provides performance results that approach the theoretical optimum; (2) it requires on-line vehicle count data that can be readily obtained from upstream detectors; and (3) it is suitable for implementation on existing microcomputers. The strategy lays a foundation for the establishment of demand-responsive decentralized urban traffic control on a systemwide basis.

Subject Headings: Traffic signals | Adaptive systems | Optimization models | Traffic models | Data processing | Rivers and streams

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