Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80295
Title: Iterative tuning strategy for setting phase splits with anticipation of traffic demand in urban traffic network
Authors: Wang, Yu
Wang, Danwei
Jin, Shangtai
Xiao, Nan
Li, Yitong
Frazzoli, Emilio
Keywords: queueing theory
road traffic control
road vehicles
iterative methods
Issue Date: 2016
Source: Wang, Y., Wang, D., Jin, S., Xiao, N., Li, Y., & Frazzoli, E. (2016). Iterative tuning strategy for setting phase splits with anticipation of traffic demand in urban traffic network. IET Control Theory & Applications, 10(12), 1469-1479.
Series/Report no.: IET Control Theory and Applications
Abstract: Facing large-scale urban traffic network, countless effort has been made toward intelligent and efficient urban traffic control system to better use existing traffic infrastructures. Recently, a novelty pre-timed traffic signal control strategy known as iterative tuning (IT) has been developed by exploiting repetitive characteristic of junction's vehicle throughput on working days, which is sufficiently efficient in under-saturated traffic conditions. This study further improves IT strategy in saturated traffic conditions with consideration of traffic demand including vehicle throughput and residual queued vehicles. Unlike conventional pre-timed strategies, preparation of signal schedules is not required in IT strategy and fine-tuning process executes iteratively and automatically. This study proposes a generalised traffic model to describe urban network dynamics and explicit split tuning algorithm. Without specific control trajectories, rigorous analysis generates sufficient condition for guaranteeing the convergence of IT strategy globally over repetitions. The robustness of IT controller to variations of traffic flow patterns and errors of initial conditions is also analysed in details. Commonwealth Avenue, an area with heavy traffic in Singapore, is demonstrated in simulations and simulation results indicate the effectiveness and robustness of IT strategy.
URI: https://hdl.handle.net/10356/80295
http://hdl.handle.net/10220/40458
ISSN: 1751-8644
DOI: 10.1049/iet-cta.2015.1003
Rights: © 2016 The Institution of Engineering and Technology. This is the author created version of a work that has been peer reviewed and accepted for publication by IET Control Theory and Applications, The Institution of Engineering and Technology. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1049/iet-cta.2015.1003].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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