Modeling and Control Using Stochastic Distribution Control Theory for Intersection Traffic Flow
This work investigated stochastic distribution control theory-based traffic signal optimization to achieve a smooth and uniform flow of vehicles through signalized intersections. In this context, the static and linear dynamic stochastic distribution models were developed to express the relationship between the signal timing and the traffic queue length together with its probability density function. Two stochastic distribution control algorithms were designed to control the signal timing at intersections such that the probability density function of the traffic queue of each intersection road segment is made as narrow and as small as possible. Also, a recursive input-output traffic queue estimation model was proposed, which is data-driven and dynamic in nature, to calculate real-time traffic queue length using traffic signal timings and loop-detector data. The control algorithms were evaluated for a one-signal corridor, two-signal corridor, and 2×2 network of signalized intersections. MATLAB simulation examples are provided to demonstrate the use of the proposed algorithms and comparison to the existing widely-used semi-actuated control has been made. Desired results were obtained.
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
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Supplemental Notes:
- Copyright © 2022, IEEE.
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Authors:
- Wang, Hong
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0000-0003-1069-9786
- Patil, Sagar V
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0000-0003-2317-5682
- Aziz, H M Abdul
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0000-0002-8135-4577
- Young, Stanley
- Publication Date: 2022-3
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References;
- Pagination: pp 1885-1898
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Serial:
- IEEE Transactions on Intelligent Transportation Systems
- Volume: 23
- Issue Number: 3
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1524-9050
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979
Subject/Index Terms
- TRT Terms: Control; Signalized intersections; Simulation; Stochastic processes; Traffic queuing; Traffic signal timing
- Identifier Terms: MATLAB (Computer program)
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01847630
- Record Type: Publication
- Files: TRIS
- Created Date: May 31 2022 9:16AM