Open AccessRailway capacity analysis using Indonesian method and UIC code 405 method
Author(s) -
Hera Widyastuti,
Wahyu Satyaning Budhi
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/930/1/012059
Subject(s) - headway , indonesian , track (disk drive) , variable (mathematics) , computer science , block (permutation group theory) , code (set theory) , variables , transport engineering , mathematics , simulation , engineering , mathematical analysis , philosophy , linguistics , geometry , set (abstract data type) , programming language , operating system , machine learning
The government has been constructing double track at Surabaya-Madiun segment to improve railway operations performance. Accordingly, after the double track has been constructed in this segment, it is necessary to analyze existing railway capacity to determine the effect of development as a cost-effective solution. Nowadays, Indonesia is using the Indonesian method as a capacity analysis method and only provides railway capacity analysis using fixed block. On the other hand, another method such as the UIC method has different variables. Therefore in this study, the railway capacity analysis uses two analytic methods that are Indonesian and UIC code 405. The analysis result of both methods shows an improvement in railway capacity because of the double-track construction. These two methods have different results due to each variable. Moreover, one of the UIC variables is additional time due to maintenance differentiated based on its utilization. Utilization in the UIC method is differenced based on its operational conditions by peak and non-peak hours or normal conditions that may also affect the capacity. It also happens in MRT Jakarta operating systems in which the headway is divided into peak and non-peak hours. Accordingly, this study could be a preliminary study for policymakers to analyze capacity in the next near future condition.