Demand-Responsive Decentralized Urban Traffic Control. Part I: Single-Intersection Policies
Common logic as well as analytical studies indicate that demand-responsive traffic control can very significantly improve urban street network performance. Yet effective traffic-responsive control has eluded transportation system researchers for many years--the main stumbling blocks being the inadequacy of predicted data from past traffic behavior and the unmet requirements for real-time optimal control techniques. This study develops innovative approaches to the urban traffic control problem using on-line traffic models which relax the reliance on predicted data, and decentralized optimization strategies which are amenable to real-time execution. The new methodologies are particularly suited for implementation via existing microprocessor technologies. This report presents the studies undertaken and results achieved in Phase I of the research. It describes in detail the development and testing of models and strategies for real-time computation of optimal control policies for single intersections. These strategies lay a foundation for the establishment of demand-responsive decentralized urban traffic control on a system-wide basis.
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Corporate Authors:
University of Lowell Research Foundation
450 Aiken Street
Lowell, MA United States 01854Department of Transportation
Research and Special Programs Administration
1200 New Jersey Avenue, SE
Washington, DC 20590 -
Authors:
- Gartner, Nathan H
- Publication Date: 1982-2
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 100p
Subject/Index Terms
- TRT Terms: Highway traffic control; Microprocessors; Real time control; Signalized intersections; Traffic actuated controllers; Traffic models; Urban areas
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01601841
- Record Type: Publication
- Report/Paper Numbers: DOT /RSPA/DPB -50/81/24, ULRF-05-2998-l
- Contract Numbers: DOT-RC-92015
- Files: TRIS, ATRI, USDOT
- Created Date: Jun 13 2016 5:42PM