On Traffic Flow Regimes and Transitions in Signalized Arterials
The paper presents the formulation and application of a data driven methodological framework to identify traffic flow regimes and transitions on signalized arterials from point measurements of volume and occupancy. The identification of regimes is conducted by a wavelet-based fuzzy clustering approach, while transitional conditions are studied using Bayesian networks. The results from this data-driven approach indicate the existence of four distinct traffic flow regimes; these regimes hold in arterials with different geometric and signalization characteristics. An analytical model is also developed based on kinematic wave traffic flow theory to determine the boundary conditions among traffic regimes. This model provides strong evidence that the presented statistical approach is in agreement with a simple and elegant analysis including traffic parameters that are observable and measurable.
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Corporate Authors:
500 Fifth Street, NW
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Authors:
- Vlahogianni, Eleni I
- Geroliminis, Nikolas
- Skabardonis, Alexander
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Conference:
- Transportation Research Board 86th Annual Meeting
- Location: Washington DC, United States
- Date: 2007-1-21 to 2007-1-25
- Date: 2007
Language
- English
Media Info
- Media Type: CD-ROM
- Features: References; Tables;
- Pagination: 22p
- Monograph Title: TRB 86th Annual Meeting Compendium of Papers CD-ROM
Subject/Index Terms
- TRT Terms: Arterial highways; Fuzzy systems; Kinematics; Operations; Signalized intersections; Traffic flow; Traffic volume; Wavelets
- Uncontrolled Terms: Fuzzy clustering; Traffic regimes
- Subject Areas: Administration and Management; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control;
Filing Info
- Accession Number: 01049613
- Record Type: Publication
- Report/Paper Numbers: 07-2321
- Files: TRIS, TRB
- Created Date: May 21 2007 1:18PM