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.
|Journal||MATEC Web of Conferences|
|Publication status||Published - 22 Aug 2018|
|Event||4th International Conference on Rehabilitation and Maintenance in Civil Engineering, ICRMCE 2018 - Solo Baru, Indonesia|
Duration: 11 Jul 2018 → 12 Jul 2018