Data mining applied for earthworks optimisation of a toll road construction project

The length of the toll roads operating in Indonesia is still less than in other countries. Significant acceleration is needed to keep up with the country’s traffic needs. Acceleration of development should be supported by the development capacities of road operators, one such capacity being earthwor...

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Main Authors: Irfan Rifai Andri, Latief Yusuf, Sagita Rianti Leni
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201819504019
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author Irfan Rifai Andri
Latief Yusuf
Sagita Rianti Leni
author_facet Irfan Rifai Andri
Latief Yusuf
Sagita Rianti Leni
author_sort Irfan Rifai Andri
collection DOAJ
description The length of the toll roads operating in Indonesia is still less than in other countries. Significant acceleration is needed to keep up with the country’s traffic needs. Acceleration of development should be supported by the development capacities of road operators, one such capacity being earthworks. Data on earthworks can be utilised as a knowledge base and processed via a data mining approach, the results of which form the basis for interpretation and productivity predictions. The aim of this study is to develop a decision support system for the earthworks of a toll road construction project using the approach of data mining historical cases. The data mining approach used an artificial neural network and support vector machine analysis methods. The result is multi-objective optimisation with a genetic algorithm using real-world data from previous Indonesian toll road construction. This work aims to present a practical alternative for the optimisation of earthworks.
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spelling doaj.art-cd434763af5b43d7bf65b4188d2b18142022-12-21T21:31:25ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011950401910.1051/matecconf/201819504019matecconf_icrmce2018_04019Data mining applied for earthworks optimisation of a toll road construction projectIrfan Rifai AndriLatief YusufSagita Rianti LeniThe length of the toll roads operating in Indonesia is still less than in other countries. Significant acceleration is needed to keep up with the country’s traffic needs. Acceleration of development should be supported by the development capacities of road operators, one such capacity being earthworks. Data on earthworks can be utilised as a knowledge base and processed via a data mining approach, the results of which form the basis for interpretation and productivity predictions. The aim of this study is to develop a decision support system for the earthworks of a toll road construction project using the approach of data mining historical cases. The data mining approach used an artificial neural network and support vector machine analysis methods. The result is multi-objective optimisation with a genetic algorithm using real-world data from previous Indonesian toll road construction. This work aims to present a practical alternative for the optimisation of earthworks.https://doi.org/10.1051/matecconf/201819504019
spellingShingle Irfan Rifai Andri
Latief Yusuf
Sagita Rianti Leni
Data mining applied for earthworks optimisation of a toll road construction project
MATEC Web of Conferences
title Data mining applied for earthworks optimisation of a toll road construction project
title_full Data mining applied for earthworks optimisation of a toll road construction project
title_fullStr Data mining applied for earthworks optimisation of a toll road construction project
title_full_unstemmed Data mining applied for earthworks optimisation of a toll road construction project
title_short Data mining applied for earthworks optimisation of a toll road construction project
title_sort data mining applied for earthworks optimisation of a toll road construction project
url https://doi.org/10.1051/matecconf/201819504019
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