Road Condition Monitoring with Drones and LiDAR in Infrastructure Technology

Authors

  • Amalia Rizka Sugiarto Faculty of Engineering, Universitas Singaperbangsa Karawang https://orcid.org/0000-0001-9981-4124
  • Grisela Nurinda Abdi Faculty of Engineering, Universitas Singaperbangsa Karawang
  • Ikhwanussafa Sadidan Faculty of Engineering, Universitas Singaperbangsa Karawang
  • Mochamad Rizki Fitrianto Department of Public Administration, Universitas Diponegoro
  • Fadhlullah Ramadhani Badan Riset dan lnovasi Nasional (BRIN)

DOI:

https://doi.org/10.18196/st.v28i1.25170

Keywords:

drone, LiDAR, monitoring, road condition

Abstract

Effective road condition monitoring is essential for ensuring transportation safety and efficient infrastructure management. Traditional methods are often labor-intensive, time-consuming, and costly. This study investigates the use of drones equipped with Light Detection and Ranging (LiDAR) technology to enhance the accuracy and efficiency of road assessments. The research was conducted in Karawang Regency, West Java, Indonesia, particularly along the Rengasdengklok Arterial Road, a location identified by the local Public Works Department (PUPR) as frequently experiencing damage. The methodology included field surveys, drone-based data acquisition, and post-processing using photogrammetry and LiDAR point clouds to create detailed 3D road surface models. Pavement conditions were then analyzed using the Pavement Condition Index (PCI). The results showed that the road segment was in Level 2 (fair condition), aligning with previous visual assessments by the PUPR. Validation against traditional survey methods indicated an accuracy rate of 93.7%. This study demonstrates that the integration of drone and LiDAR technologies enables faster, safer, and more comprehensive road monitoring, especially in hard-to-reach areas. The approach supports data-driven maintenance planning and provides a valuable tool for local governments to improve infrastructure monitoring practices. The results highlight the potential for adopting this innovative method in broader applications, including integration with AI for automated damage detection and predictive maintenance.

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Published

2025-06-10

How to Cite

Sugiarto, A. R., Abdi, G. N., Sadidan, I., Fitrianto, M. R., & Ramadhani, F. (2025). Road Condition Monitoring with Drones and LiDAR in Infrastructure Technology. Semesta Teknika, 28(1), 113–124. https://doi.org/10.18196/st.v28i1.25170

Issue

Vol. 28 No. 1 (2025): MEI

Section

Articles

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Copyright (c) 2025 Amalia Rizka Sugiarto

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