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

Journal Article · Thu Feb 01 00:00:00 EST 2018 · IEEE Transactions on Vehicular Technology

DOI:https://doi.org/10.1109/TVT.2017.2760820· OSTI ID:1526499

Wu, Jian  ^[1]; Ghosal, Dipak ^[1]; Zhang, Michael ^[1]; Chuah, Chen-Nee  ^[1]

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1. Univ. of California, Davis, CA (United States)

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.

• Research Organization: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC)
• Grant/Contract Number: AC02-05CH11231
• OSTI ID: 1526499
• Journal Information: IEEE Transactions on Vehicular Technology, Vol. 67, Issue 2; ISSN 0018-9545
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

33 ADVANCED PROPULSION SYSTEMS
traffic signal control
back pressure control
throughput optimality
fairness