Imperial College London
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ProfessorThomasParisini

Faculty of Engineering, Department of Electrical and Electronic Engineering

Chair in Industrial Control, Head of Group for CAP
 
 
 
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Contact

 

+44 (0)20 7594 6240t.parisini Website

 
 
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Location

 

1114Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ghosh:2022:10.1109/TITS.2022.3166452,
author = {Ghosh, A and Parisini, T},
doi = {10.1109/TITS.2022.3166452},
journal = {IEEE Transactions on Intelligent Transportation Systems},
pages = {17325--17341},
title = {Traffic control in a mixed autonomy scenario at urban intersections: an optimal control approach},
url = {http://dx.doi.org/10.1109/TITS.2022.3166452},
volume = {23},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Ghosh,A
AU  - Parisini,T
DO  - 10.1109/TITS.2022.3166452
EP  - 17341
PY  - 2022///
SN  - 1524-9050
SP  - 17325
TI  - Traffic control in a mixed autonomy scenario at urban intersections: an optimal control approach
T2  - IEEE Transactions on Intelligent Transportation Systems
UR  - http://dx.doi.org/10.1109/TITS.2022.3166452
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000788918600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/99677
VL  - 23
ER  -
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