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AUTHOR(S): Ushurhe Monday Onoriode, Tangyi Guo, Shu Pan
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TITLE Division of Green Time for Adaptive Traffic Signal Control Method based on Fuzzy Logic |
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ABSTRACT Congestion at isolated intersection is a problem encountered in many developed countries because of ineffective traffic control signal. Hence it is imperative to optimize the traffic control to better adapt to the increasing demand. Traffic signal fuzzy control is regarded as the solutions to traffic signal control problems. In this paper we propose control system that manage both the phase selection and green time of an intersection with the objective of minimizing delay and reducing queue length. Based on queue length, the proposed system uses fuzzy rules according to the real-time traffic information received from the wide area radar to select the red light phase with longest queue as the next phase and also determine the green time. The performance of the system was evaluated by comparing it with fixed signal control. The result shows that the traffic controller using fuzzy logic ameliorate the traffic condition at isolated intersection. |
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KEYWORDS Traffic controller, fuzzy logic, isolated intersection, phase selector, phase time allocator |
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Cite this paper Ushurhe Monday Onoriode, Tangyi Guo, Shu Pan. (2019) Division of Green Time for Adaptive Traffic Signal Control Method based on Fuzzy Logic. International Journal of Transportation Systems, 4, 18-28 |
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