Freeway Traffic Control Considering Capacity Drop Phenomena: Comparison of Different MPC Schemes
This paper proposes different Model Predictive Control (MPC)-based traffic controllers in order to reduce congestion in freeway systems via ramp metering. These controllers differ for the adopted prediction model and for the considered cost function to be minimized. In particular, both a standard cell transmission model (CTM) and a CTM modified version representing the capacity drop phenomenon are used, while the two different cost functions considered penalize congested states in different ways. These MPC controllers are compared via simulation, both evaluating the performances of the controlled freeway system in the different cases, and from a computational point of view.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9781467365956
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Supplemental Notes:
- Abstract reprinted with permission of IEEE.
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Corporate Authors:
Institute of Electrical and Electronics Engineers (IEEE)
3 Park Avenue, 17th Floor
New York, NY United States 10016-5997 -
Authors:
- Maggi, Lorenzo
- Sacone, Simona
- Siri, Silvia
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Conference:
- 18th International IEEE Conference on Intelligent Transportation Systems (ITSC)
- Location: Canary Islands , Spain
- Date: 2015-9-15 to 2015-9-18
- Publication Date: 2015
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 457-462
- Monograph Title: 18th International IEEE Conference on Intelligent Transportation Systems (ITSC 2015)
Subject/Index Terms
- TRT Terms: Freeways; Highway capacity; Highway traffic control; Ramp metering; Traffic congestion; Traffic signal controllers
- Uncontrolled Terms: Cell transmission models; Cost functions; Model predictive control
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01599787
- Record Type: Publication
- ISBN: 9781467365956
- Files: TRIS
- Created Date: May 22 2016 6:35PM