Open AccessImplementation of Fuzzy Mamdani Method for Traffic Lights Smart City in Rangkasbitung, Lebak Regency, Banten Province (Case Study of the Traffic Light T-junction, Cibadak, By Pas Sukarno Hatta Street)
Author(s) -
Dentik Karyaningsih,
Robby Rizky
Publication year - 2020
Publication title -
jurnal komtekinfo
Language(s) - English
Resource type - Journals
ISSN - 2502-8758
DOI - 10.35134/komtekinfo.v7i3.78
Subject(s) - fuzzy logic , traffic congestion , mindset , computer science , traffic signal , controller (irrigation) , fuzzy control system , transport engineering , artificial intelligence , real time computing , engineering , agronomy , biology
Traffic jams are a common sight that can be seen in almost all major cities in Indonesia. One of them is in Rangkasbitung City, Lebak Regency. This happens because the number of vehicles continues to increase. The traffic light control system implemented in Indonesia is a static preset time because the time of each phase is predetermined. This type of control system is still not effective in overcoming traffic congestion, especially at certain peak traffic jams. By using the Mamdani fuzzy logic system, it is possible to implement the human mindset into a system. Some rules can be set out in the fuzzy logic controller. The purpose of this study is to design a traffic light control system using fuzzy inference that regulates traffic based on its density. The data used are observations made at the research site. The conclusion of this study is to explain that the fuzzy mamdani method can solve existing problems in traffic congestion in Rangkasbitung City, Lebak Regency, Banten Province