Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan
Vol 6, No 2 (2021): September

Neuro-Fuzzy for Traffic Volume Forecasting of National Road III Jember Banyuwangi KM 252

Muhammad Shofwan Donny Cahyono (Universitas Siliwangi)
Agustinus Angkoso (Unknown)



Article Info

Publish Date
16 Oct 2021

Abstract

Traffic congestion is one of the prevalent phenomena in Indonesia, especially in big cities. There are a variety of factors causing congestion in the city, including the expansion of existing infrastructure, the large number of residents in the area, and the disparity between the growth of motor vehicles and highways. By careful transport planning, this can be fixed. The estimation of traffic volume is one strategy to see how much road growth is to offset vehicle volume growth to prevent congestion. This study tries to estimate the traffic volume of National Road III Jember Banyuwangi KM 252 motorized 2-wheeled vehicles passing by. The data used were obtained from 24 hours observation for 7 days. Using the Neuro-Fuzzy method which applies 1 day out of 7 days as testing data, and obtaining the average error is 13.2747%. This average error shows that the error rate that occurs is 5% of all errors. Neuro-Fuzzy can forecast the traffic volume of 2-wheeled motorized vehicles reasonably well.

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Journal Info

Abbrev

CVL

Publisher

Subject

Description

Jurnal Penelitian Teknik Sipil UNISLA (ISSN2503-2399) adalah jurnal ilmiah yang bertujuan untuk mengkomunikasikan hasil dan riset teknologi dalam rangka untuk pengembangan teknologi di bidang teknik sipil. Sasaran pembaca adalah para ilmuwan, akademis, serta praktisi dari bidang teknik sipil sebagai ...