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  5. Traffic control in a mixed autonomy scenario at urban intersections: an optimal control approach
 
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Traffic control in a mixed autonomy scenario at urban intersections: an optimal control approach
File(s)
Ghosh_Parisini_ITS_Accepted_14_March_2022.pdf (4.47 MB)
Accepted version
Author(s)
Ghosh, Arnob
Parisini, Thomas
Type
Journal Article
Abstract
We consider an intersection zone where autonomous vehicles (AVs) and human-driven vehicles (HDVs) can be simulteneously present. As a new vehicle arrives, the traffic controller needs to decide and suggest an optimal sequence of the vehicles which will exit the intersection zone. The traffic controller can inform the time at which an AV can cross the intersection; however, the traffic controller can not communicate with the HDVs, rather the HDVs can only be controlled using the traffic lights. We formulate the problem as an integer constrained nonlinear optimization problem. Since the number of possible combinations increases exponentially with the number of vehicles in the traffic system, we relax the original problem and proposes an algorithm which gives the optimal solution of the relaxed problem and yet only scales linearly with the number of vehicles in the system. The numerical validation shows that our algorithm outperforms the First-In-First-Out (FIFO) algorithm.
Date Issued
2022-10-01
Date Acceptance
2022-03-14
Citation
IEEE Transactions on Intelligent Transportation Systems, 2022, 23 (10), pp.17325-17341
URI
http://hdl.handle.net/10044/1/99677
DOI
https://www.dx.doi.org/10.1109/TITS.2022.3166452
ISSN
1524-9050
Publisher
Institute of Electrical and Electronics Engineers
Start Page
17325
End Page
17341
Journal / Book Title
IEEE Transactions on Intelligent Transportation Systems
Volume
23
Issue
10
Copyright Statement
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000788918600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Engineering, Civil
Engineering, Electrical & Electronic
Transportation Science & Technology
Engineering
Transportation
Vehicle dynamics
Trajectory
Lead
Optimal scheduling
Costs
Optimal control
Schedules
scheduling
intelligent transportation
traffic-light control
Intelligent Driver Model (IDM)
VEHICLE TECHNOLOGY
SIGNALS
Publication Status
Published
Date Publish Online
2022-04-27
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