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Title: Delay-Based Traffic Signal Control for Throughput Optimality and Fairness at an Isolated Intersection

Abstract

With the attractive feature of guaranteeing maximum network throughput, backpressure routing has been widely used in wireless communication networks. Motivated by the backpressure routing, in this paper, we propose a delay-based traffic signal control algorithm in transportation networks. We prove that this delay-based control achieves optimal throughput performance, same as the queue-based traffic signal control in the literature. However, a vehicle at a lane whose queue length remains very small may be excessively delayed under the queue-based signal control. Our delay-based backpressure control can deal with the excessive delays and achieve better fairness with respect to delay while still guaranteeing throughput optimality. Moreover, a general weighted control scheme combining the queue-based and delay-based schemes is also investigated, to provide a more flexible control according to the quality of service requirements. Numerical results explore their performance under both homogeneous and heterogeneous traffic scenarios.

Authors:
ORCiD logo [1];  [1];  [1]; ORCiD logo [1]
  1. Univ. of California, Davis, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1526499
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Vehicular Technology
Additional Journal Information:
Journal Volume: 67; Journal Issue: 2; Journal ID: ISSN 0018-9545
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; traffic signal control; back pressure control; throughput optimality; fairness

Citation Formats

Wu, Jian, Ghosal, Dipak, Zhang, Michael, and Chuah, Chen-Nee. Delay-Based Traffic Signal Control for Throughput Optimality and Fairness at an Isolated Intersection. United States: N. p., 2018. Web. doi:10.1109/TVT.2017.2760820.
Wu, Jian, Ghosal, Dipak, Zhang, Michael, & Chuah, Chen-Nee. Delay-Based Traffic Signal Control for Throughput Optimality and Fairness at an Isolated Intersection. United States. doi:10.1109/TVT.2017.2760820.
Wu, Jian, Ghosal, Dipak, Zhang, Michael, and Chuah, Chen-Nee. Thu . "Delay-Based Traffic Signal Control for Throughput Optimality and Fairness at an Isolated Intersection". United States. doi:10.1109/TVT.2017.2760820. https://www.osti.gov/servlets/purl/1526499.
@article{osti_1526499,
title = {Delay-Based Traffic Signal Control for Throughput Optimality and Fairness at an Isolated Intersection},
author = {Wu, Jian and Ghosal, Dipak and Zhang, Michael and Chuah, Chen-Nee},
abstractNote = {With the attractive feature of guaranteeing maximum network throughput, backpressure routing has been widely used in wireless communication networks. Motivated by the backpressure routing, in this paper, we propose a delay-based traffic signal control algorithm in transportation networks. We prove that this delay-based control achieves optimal throughput performance, same as the queue-based traffic signal control in the literature. However, a vehicle at a lane whose queue length remains very small may be excessively delayed under the queue-based signal control. Our delay-based backpressure control can deal with the excessive delays and achieve better fairness with respect to delay while still guaranteeing throughput optimality. Moreover, a general weighted control scheme combining the queue-based and delay-based schemes is also investigated, to provide a more flexible control according to the quality of service requirements. Numerical results explore their performance under both homogeneous and heterogeneous traffic scenarios.},
doi = {10.1109/TVT.2017.2760820},
journal = {IEEE Transactions on Vehicular Technology},
number = 2,
volume = 67,
place = {United States},
year = {2018},
month = {2}
}

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