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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2018-01-01
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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. |
first_indexed | 2024-12-17T21:47:59Z |
format | Article |
id | doaj.art-cd434763af5b43d7bf65b4188d2b1814 |
institution | Directory Open Access Journal |
issn | 2261-236X |
language | English |
last_indexed | 2024-12-17T21:47:59Z |
publishDate | 2018-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | MATEC Web of Conferences |
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 |
work_keys_str_mv | AT irfanrifaiandri dataminingappliedforearthworksoptimisationofatollroadconstructionproject AT latiefyusuf dataminingappliedforearthworksoptimisationofatollroadconstructionproject AT sagitariantileni dataminingappliedforearthworksoptimisationofatollroadconstructionproject |