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All Journal Jurnal Dimensi Pratama Teknik Sipil Data Science: Journal of Computing and Applied Informatics
Kardi Teknomo
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Civil Engineering, Building, Construction & Architecture Computer Science & IT

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Journal : Data Science: Journal of Computing and Applied Informatics

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Evaluation of a Proposed Road in a Campus Network based on Ideal Flow Kardi Teknomo
Data Science: Journal of Computing and Applied Informatics Vol. 3 No. 2 (2019): Data Science: Journal of Computing and Applied Informatics (JoCAI)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.709 KB) | DOI: 10.32734/jocai.v3.i2-620

Abstract

A proposed road project inside a campus that will have to down trees from its mini forest have attracted different public opinion among the faculty and students. In this paper, we would like to justify our view objectively based on transportation engineering point of view. The Ideal Flow Network (IFN) method was used to do the analysis because its source code is publicly available for clarification. The network data is based on previous study of Ateneo Traffic Group report. Two scenarios were set: based scenario that represents the current road network, and two proposed scenario that represents the current road network with additional proposed road in two ways and one way respectively. Analysis of the results show that the total network travel time of the proposed scenario are increased by 4.69% and 2.32% respectively for two ways and one-way scenarios. The network speed will be slightly improved by 0.03% in when the proposed road project is added in two ways. Thus, we failed to justify that the proposed network has better network performance.
Co-Authors Leonardus Michael Gunawan William Natanael Hernawan