SYSTEMATIC IDENTIFICATION OF FREEWAY BOTTLENECKS
The algorithm presented identifies bottleneck locations, the times for which each bottleneck is active, and the delay they cause. The bottlenecks are ranked in terms of their frequency of recurrence and the magnitude of their delay impact. The algorithm works with 5-min loop detector data. It uses speed difference as an indicator of bottleneck activation. The algorithm is applied to 3 months of data from 270 mi of seven freeways in San Diego. It identifies 160 locations whose bottlenecks cause 64% of the total delay on these freeways. The top 10 account for 61% of the delay from all bottlenecks. The method can be used in any area in which large amounts of data are available. Transportation authorities may use it to identify bottlenecks and to track their impact over time.
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- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Public/Blurbs/155184.aspx
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Supplemental Notes:
- This paper appears in Transportation Research Record No. 1867, Freeway Operations and Traffic Signal Systems 2004.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Chen, Cong
- Skabardonis, A
- Varaiya, P
- Publication Date: 2004
Language
- English
Media Info
- Features: Figures; References; Tables;
- Pagination: p. 46-52
- Monograph Title: FREEWAY OPERATIONS AND TRAFFIC SIGNAL SYSTEMS 2004
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Serial:
- Transportation Research Record
- Issue Number: 1867
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Algorithms; Bottlenecks; Freeways; Location; Traffic data; Traffic speed
- Geographic Terms: San Diego (California)
- Subject Areas: Highways; Operations and Traffic Management; I71: Traffic Theory;
Filing Info
- Accession Number: 00978529
- Record Type: Publication
- ISBN: 0309094615
- Files: TRIS, TRB, ATRI
- Created Date: Sep 22 2004 12:00AM