Abstract
Adaptive signal control methods have the ability to improve operations at isolated intersections. However, most of these experiences mainly focus on one specific traffic status, so other traffic characteristics are not fully considered. In this paper, the traffic status of an isolated intersection is identified using a two-dimensional fundamental diagram divided into four levels. An adaptive traffic signal control method based on traffic status identification is proposed. Different signal control performance indexes (PIs) are chosen in different traffic levels. Appropriate evaluation parameters are selected for the PIs according to real-time traffic characteristics. An enumeration algorithm is put forward to solve the optimized model of PIs. Then, a signalized intersection in Shenzhen city is studied through theoretical calculation and simulation evaluation via a microscopic traffic simulation software, Paramics. The results indicate that the signal strategy derived from the proposed method is more effective than the original F. Webster method strategy, because the proposed PIs outperform those of F. Webster on all four traffic levels.
Published Version
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