APLIKASI FUZZY DALAM OPTIMALISASI TRAFFIC LIGHT PERSIMPANGAN JUANDA

Authors

  • Rahma Ramadhani Teknik Sipil, Fakultas Teknik, Universitas Hasyim Asy’ari
  • Imamatul Ummah Teknik Elektro, Fakultas Teknik, Universitas Hasyim Asy’ari
  • Abdiyah Amudi [email protected]
  • Nanndo Yannuansa Teknik Elektro, Fakultas Teknik, Universitas Hasyim Asy’ari

DOI:

https://doi.org/10.33752/reaktom.v4i1.423

Abstract

Traffic Jam is a problem that often occurs in transportation problems. Juanda Junction is one of the
intersections that often experience traffic jam. The causes of traffic jam arise from many things, including
the presence of side barriers, the absence of markers so that the traffic light that works is not optimal.
Based on the results of the initial survey, it was found that the duration of the green light in each pendeka
was not adjusted for how many cars and motorcycles were passing. North approacher where most cars and
motorbikes are passing but get fewer duration of green lights than other approaches. This shows less
optimal traffic light settings. The use of fuzzy method is expected to make traffic light settings more
optimal because the old green light produced is more flexible in accordance with many cars and
motorcycles that pass through an approach. The results of the study were obtained for vehicles passing
through the northern approacher as many as 26 cars and 177/cycle obtained manually by the green light for
43 seconds and with fuzzy 45 seconds. Western approacher with many vehicles passing by 25 cars and
170/cycle motorbikes received a 51-second manual green light and fuzzy 42 seconds. As well as for the
east approacher with many vehicles passing 24 cars and 168 motorcycles/cycle get the green light
manually 53 seconds and with fuzzy 42 seconds.

Key Words: Fuzzy, Junction, Traffic Light

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Published

2019-06-30

How to Cite

Ramadhani, R., Ummah, I., Amudi, A., & Yannuansa, N. (2019). APLIKASI FUZZY DALAM OPTIMALISASI TRAFFIC LIGHT PERSIMPANGAN JUANDA. Reaktom : Rekayasa Keteknikan Dan Optimasi, 4(1). https://doi.org/10.33752/reaktom.v4i1.423

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