Record Details

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

Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan

View Archive Info
 
 
Field Value
 
Title Neuro-Fuzzy for Traffic Volume Forecasting of National Road III Jember Banyuwangi KM 252
 
Creator Donny Cahyono, Muhammad Shofwan
Angkoso, Agustinus
 
Subject civil engineering
Heavy Equipment, Toll Road, Productivity.
Transportation
 
Description 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.
 
Publisher Litbang Pemas - Universitas Islam Lamongan
 
Contributor
 
Date 2021-10-16
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion


 
Format application/pdf
 
Identifier https://jurnalteknik.unisla.ac.id/index.php/CVL/article/view/667
10.30736/cvl.v6i2.667
 
Source Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan; Vol 6, No 2 (2021): September; 143-154
Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan; Vol 6, No 2 (2021): September; 143-154
2620-7222
2503-2399
 
Language eng
 
Relation https://jurnalteknik.unisla.ac.id/index.php/CVL/article/view/667/pdf_1
 
Rights Copyright (c) 2021 Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan
https://creativecommons.org/licenses/by-sa/4.0