1. Utilization of unmanned aerial vehicle for pavement condition evaluation with surface distress index method on the Bandung-Subang road, Indonesia.
- Author
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Astor, Yackob, Utami, Retno, Sihombing, Atmy Verani Rouly, Desutama, Rd. Bugi Prayogo, Pramestu, Saldila, and Apriansyah, Syahreza
- Subjects
DRONE aircraft ,PSYCHOLOGICAL distress ,PAVEMENTS ,OPTICAL measurements ,SOFTWARE measurement ,TRAFFIC flow - Abstract
Road construction has become a priority for the government to make community mobilization easier. High mobilization also means increasing traffic which can lead to pavement distress due to high traffic volume. This phenomenon happened on Bandung-Subang Road. As the connecting road to one of the tourist destinations in West Java, some pavement distress occurred, which could trigger traffic accidents. Based on the condition of the distressed pavement, an evaluation of pavement conditions was carried out using the Surface Distress Index (SDI) method with two measurement methods, visual photogrammetry using an Unmanned Aerial Vehicle with the help of software and optical measurements in the field. The validation process is carried out by comparing the results of the dimensions of the distress measurement on the model to the dimensions of the distress that occurred in the field. Based on evaluation using the SDI method, it was found that most pavement conditions in the field were "good," with an SDI value of <50 for six segments out of a total of 15 overall segments. While measurements using UAV, assistance obtained pavement conditions in "good" with an SDI value of <50 for as many as five out of 12 segments. Based on the data processing results, the average value of the optical measurement accuracy test using a UAV with optical measurements in the field is 94.326%. Pavement condition evaluation using UAV assistance is expected to be one of the more efficient SDI measurement methods for use in Indonesia. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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