MATEC Web Conf.
Volume 195, 2018The 4th International Conference on Rehabilitation and Maintenance in Civil Engineering (ICRMCE 2018)
|Number of page(s)||9|
|Published online||22 August 2018|
Data mining applied for earthworks optimisation of a toll road construction project
Civil Engineering Department, Universitas Indonesia, Indonesia
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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