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Volume & Issue no: Volume 3, Issue 10, October 2014

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Title:
Mamdani Fuzzy inference system Application Setting For Traffic Lights
Author Name:
Sumiati ,Haris Triono Sigit , Andri Kapuji
Abstract:
ABSTRACT System traffic light settings that exist in Indonesia today there are many who use the timer (timer) resulting in the accumulation of vehicles on any or all channels. Therefore, designed a fuzzy logic-based system that can manage the traffic lights in accordance with the density that occurs. So it is no longer in the accumulation of vehicles, especially at intersections adjacent. This system is a traffic light settings at adjacent intersections using fuzzy logic The workings of this system based on the rule (rule) that have been made. If the state of the roads at the time when the green light more or equal to the number of vehicles waiting for the red light, then the system will continue the green light on the road. Then if a state road when the green light less than the number of vehicles waiting roads or when the red light, then the roads will be green, and so on. It is expected to be applied to the actual conditions that the accumulation of vehicles on adjacent intersections can be resolved. Crisp logic is a logic system that has only two true or false membership values concept is much application primarily for control systems, one of which at trffic light system trafrc light settings with the concept of fuzzy logic is able to work according to road conditions being regulated inference system is then evaluated by using the knowledge base rules fuzzy which eventually produced a solution fuzzy region. Keyword:- decision support system, Fuzzy mamdani,
Cite this article:
Sumiati ,Haris Triono Sigit , Andri Kapuji , " Mamdani Fuzzy inference system Application Setting For Traffic Lights" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 10, October 2014 , pp. 056-062 , ISSN 2319 - 4847.
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