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  5. Robust traffic wave damping via shared control
 
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Robust traffic wave damping via shared control
File(s)
1-s2.0-S0968090X21001297-main.pdf (6.19 MB)
Published version
OA Location
https://www.sciencedirect.com/science/article/pii/S0968090X21001297
Author(s)
Jiang, Jingjing
Astolfi, Alessandro
Parisini, Thomas
Type
Journal Article
Abstract
The traffic wave damping problem in a circular single lane track is addressed and solved via a shared control technique which takes a model of the human drivers’ driving habits into consideration. A formal analysis shows that the effectiveness of the proposed shared controller does not depend on the parameters of the human driver’s model, which is an important property in the implementation of the shared controller, since these parameters are difficult to measure, and vary from one human driver to another and from one driving situation to another. In addition, the proposed control law is robust: the stop-and-go wave can be dampened and there is no collisions among vehicles even if there is noise on the information each vehicle receives from the higher level traffic control center. A comparison between performances of the vehicles with and without the proposed control scheme demonstrates the robustness and the effectiveness of the shared control solution.
Date Issued
2021-07
Date Acceptance
2021-03-24
Citation
Transportation Research Part C: Emerging Technologies, 2021, 128, pp.1-23
URI
http://hdl.handle.net/10044/1/89110
URL
https://www.sciencedirect.com/science/article/pii/S0968090X21001297?via%3Dihub
DOI
https://www.dx.doi.org/10.1016/j.trc.2021.103110
ISSN
0968-090X
Publisher
Elsevier BV
Start Page
1
End Page
23
Journal / Book Title
Transportation Research Part C: Emerging Technologies
Volume
128
Copyright Statement
© 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license
(http://creativecommons.org/licenses/by-nc-nd/4.0/).
License URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Commission of the European Communities
Identifier
https://www.sciencedirect.com/science/article/pii/S0968090X21001297?via%3Dihub
Grant Number
664639
Subjects
Logistics & Transportation
08 Information and Computing Sciences
09 Engineering
15 Commerce, Management, Tourism and Services
Publication Status
Published
Article Number
103110
Date Publish Online
2021-05-07
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