An extended signal control strategy for urban network traffic flow

Fei Yan, Fuli Tian and Zhongke Shi

Physica A: Statistical Mechanics and its Applications, 2016, vol. 445, issue C, 117-127

Abstract: Traffic flow patterns are in general repeated on a daily or weekly basis. To improve the traffic conditions by using the inherent repeatability of traffic flow, a novel signal control strategy for urban networks was developed via iterative learning control (ILC) approach. Rigorous analysis shows that the proposed learning control method can guarantee the asymptotic convergence. The impacts of the ILC-based signal control strategy on the macroscopic fundamental diagram (MFD) were analyzed by simulations on a test road network. The results show that the proposed ILC strategy can evenly distribute the accumulation in the network and improve the network mobility.

Keywords: Traffic flow; Iterative learning control (ILC); Traffic signal control; Macroscopic fundamental diagram (MFD) (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:445:y:2016:i:c:p:117-127

DOI: 10.1016/j.physa.2015.10.047

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