Jianqi LI, Rongjun CHENG. A real-time adaptive signal control method for multi-intersections in mixed connected vehicle environments[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A2400488
@article{title="A real-time adaptive signal control method for multi-intersections in mixed connected vehicle environments", author="Jianqi LI, Rongjun CHENG", journal="Journal of Zhejiang University Science A", year="in press", publisher="Zhejiang University Press & Springer", doi="https://doi.org/10.1631/jzus.A2400488" }
%0 Journal Article %T A real-time adaptive signal control method for multi-intersections in mixed connected vehicle environments %A Jianqi LI %A Rongjun CHENG %J Journal of Zhejiang University SCIENCE A %P %@ 1673-565X %D in press %I Zhejiang University Press & Springer doi="https://doi.org/10.1631/jzus.A2400488"
TY - JOUR T1 - A real-time adaptive signal control method for multi-intersections in mixed connected vehicle environments A1 - Jianqi LI A1 - Rongjun CHENG J0 - Journal of Zhejiang University Science A SP - EP - %@ 1673-565X Y1 - in press PB - Zhejiang University Press & Springer ER - doi="https://doi.org/10.1631/jzus.A2400488"
Abstract: With the advancement of connected vehicle (CV) technology, an increasing number of connected vehicles will appear on urban roads. Data collected by connected vehicles can be used to optimize signal parameters at intersections, thus improving traffic efficiency. In this study, we design a real-time adaptive signal control method for an arterial road with multiple intersections with low penetration rates. By utilizing vehicle arrival information collected by CVs, our method rapidly determines optimal signal phasing and timing (SPaT). The proposed adaptive signal control method was tested with the Simulation of Urban Mobility (SUMO) software, and was found to reduce total travel delay in the network better than a fixed coordination control method. The performance of the proposed method in reducing travel delay is expected to improve as CV detection range increases.
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