A Semi-Fuzzy Logic Signal Optimization Model of an Isolated Oversaturated Intersection

Abstract:

A semi-fuzzy logic signal optimization model is proposed aimed at the current frequently oversaturated situation of urban intersections. The model consists of two modules, namely phase optimization module and green time extender module. The phase optimization module is to choose the optimal phase by taking intersection through efficiency and vehicle delay into consideration. The green time extender module determines whether to extend or terminate the current phase green time using improved fuzzy logic control method. The real-time traffic condition on all lanes that enter the intersection are input parameters of signal timing in the whole signal optimization process, so it can make adaptive adjustments about signal timing according to the change of real-time traffic condition, which make it sure that the traffic on all lanes can cross the intersection orderly in the most reasonable phase within the most appropriate green time.

• Periodical: Advanced Materials Research (Volume 905)
• Pages: 481-486
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.905.481
• Online since: April 2014
• Authors: Jian Zhi Gao, Jia Feng Yuan*, Zhi Yun Zou
• Keywords: Fuzzy Logic, Green Time Extender, Oversaturated, Phase Optimization, Through Efficiency, Vehicle Delay

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