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

Cahyono, Muhammad Shofwan Donny and Angkoso, Agustinus (2021) Neuro-Fuzzy for Traffic Volume Forecasting of National Road III Jember-Banyuwangi KM 252. Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan, 06 (2). ISSN ISSN (Online) 2620-7222; ISSN (Print) 2503-2399

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Abstract

raffic 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.

Item Type:	Article
Uncontrolled Keywords:	National Road III Jember Banyuwangi KM 252; Forecasting Methods, Neuro-Fuzzy, Traffic Volume
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General) T Technology > TE Highway engineering. Roads and pavements > TE1-450 Highway engineering. Roads and pavements
Divisions:	Artikel Ilmiah HROD
Depositing User:	Staff Perpustakaan Uwika
Date Deposited:	22 Nov 2022 04:12
Last Modified:	19 Jan 2023 09:24
URI:	http://repository.widyakartika.ac.id/id/eprint/2902

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