NDLI: Efficient Model Predictive Control for Variable Speed Limits by Optimizing Parameterized Control Schemes

Content Provider	IEEE Xplore Digital Library
Author	van de Weg, G.S. Hegyi, A. Hoogendoorn, S.P. De Schutter, B.
Copyright Year	2015
Description	Author affiliation: Delft Center for Syst. & Control, Delft Univ. of Technol., Delft, Netherlands (De Schutter, B.) \|\| Dept. of Transp. & Planning, Delft Univ. of Technol., Delft, Netherlands (van de Weg, G.S.; Hegyi, A.; Hoogendoorn, S.P.)
Abstract	This paper proposes an efficient model predictive control strategy that is based on the parameterization of a variable speed limit control scheme. Due to the paramiterization, the solution spaces reduces which leads to improved computation time. The parameterized control scheme consist of a speed-limited area in which a constant speed limit is imposed. By changing the position of the head and tail of this speed-limited area over time it is possible to change the density and flow in and downstream of this area. The controller optimizes the location of the head and tail of this area over time in such a way that the flow into a bottleneck or jam wave is changed such that congestion can be prevented or resolved. An advantage of this approach is that the complexity of the optimization problem does not increase with an increase in the number of variable speed limit gantries. The controller is tested using a second-order macroscopic traffic flow model. It is shown that the controller improves the total time spent by all the vehicles in the network with 3.7% compared to the no-control situation. This improvement is realized by resolving a jam wave. It is also shown that the controller can achieve a better performance then other model predictive control strategies, when using the same amount of computation time.
Starting Page	1137
Ending Page	1142
File Size	268816
Page Count	6
File Format	PDF
ISSN	21530017
e-ISBN	9781467365963
DOI	10.1109/ITSC.2015.188
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-15
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Traffic control Optimization Vehicles Mathematical model Predictive models Computational modeling Linear programming
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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