FUZZY RAMP METERING: DESIGN OVERVIEW AND SIMULATION RESULTS
A fuzzy logic ramp-metering algorithm was designed to overcome the limitations of conventional ramp-metering strategies. The fuzzy controller demonstrated improved robustness, prevented heavy congestion, intelligently balanced conflicting needs, and tuned easily. The objective was to maximize total distance traveled and minimize total travel time and vehicle delay, while maintaining acceptable ramp queues. A multiple-ramp study site from the Seattle I-5 corridor was modeled and tested using the freeway simulation software, FRESIM. For five of the six testing sets, encompassing a variety of traffic conditions, the fuzzy controller outperformed the three other controllers tested.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/0309065062
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Supplemental Notes:
- This paper appears in Transportation Research Record No. 1634, Managing Urban Traffic Systems: Freeway Operations, High-Occupancy Vehicle Systems, and Traffic Signal Systems.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- TAYLOR, C
- Meldrum, D
- Jacobson, L
- Publication Date: 1998
Language
- English
Media Info
- Features: Figures; References; Tables;
- Pagination: p. 10-18
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Serial:
- Transportation Research Record
- Issue Number: 1634
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Algorithms; Case studies; Fuzzy logic; Minimization; Performance evaluations; Queuing; Ramp metering; Traffic delays; Traffic simulation; Travel time
- Geographic Terms: Seattle (Washington)
- Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;
Filing Info
- Accession Number: 00757442
- Record Type: Publication
- ISBN: 0309065062
- Files: TRIS, TRB, ATRI
- Created Date: Dec 2 1998 12:00AM