Prediction of Arrival Profiles and Queue Lengths Along Signalized Arterials by Using a Markov Decision Process
An analytical methodology for prediction of the platoon arrival profiles and queue length along signalized arterials is proposed. Traffic between successive traffic signals is modeled as a two-step Markov decision process (MDP). Traffic dynamics are modeled with the use of the kinematic wave theory. The MDP formulation allows prediction of the arrival profiles several signals downstream from a known starting flow. This modeling approach can be used to estimate queue lengths and predict travel times, even in cases in which data from loop detectors are unknown, inaccurate, or aggregated. The proposed model was applied to two real-world test sites. The queues estimated with the model are in close agreement with the results from microscopic simulation.
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Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Public/Blurbs/156936.aspx
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Authors:
- Geroliminis, Nikolas
- Skabardonis, Alexander
- Publication Date: 2005
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References;
- Pagination: pp 116-124
- Monograph Title: Traffic Flow Theory 2005
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 1934
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Arterial highways; Markov processes; Mathematical prediction; Microsimulation; Signalized intersections; Traffic platooning; Travel time
- Uncontrolled Terms: Kinematic wave theory; Platoon arrival profiles; Traffic queue length
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I71: Traffic Theory;
Filing Info
- Accession Number: 01022834
- Record Type: Publication
- ISBN: 0309094089
- Files: TRIS, TRB, ATRI
- Created Date: Apr 15 2006 3:10PM