Application of UAV and PCI Method for Road Surface Monitoring

Mardiha Mokhtar, Ahmad Hakimi Mat Nor, Mohd Erwan Sanik, Masiri Kaamin, Nor Baizura Hamid5, Salman Salim6, Mohamad Amirul MohAzri d Akhir, Hazwan Haziq Abdul Shukor, Siti Khadijah Najwa Che Zaini

Pavement Condition Index is a numerical method that rates the surface condition of the pavement, is adopting to measure the present condition of pavement based on distressed observed on the surface of sample units. Unmanned Aerial Vehicle or drone is a device used to monitor, survey and collect data of the pavement condition for the surveyed sample units. The objectives of this research were to carry out the Pavement Condition Index along the selected road using drone and to determine the type of the pavement distress of the surveyed road. Distresses were divided into four categories of pavement damages, namely crack, surface deformation, disintegrations and surface defects. The Pix4D Mapper and Global Mapper software were used to analyse the collected data. Pix4D Mapper is the applications that transforms the images into digital spatial models and seamlessly process the projects using the cloud or the desktop photogrammetric digitization platform. Global Mapper is a geographic information system software package currently developed by Blue Marble Geographic that runs on Microsoft Windows. Global Mapper also being defined as an affordable and easy-to-use geographic information system application that offers access to an unparalleled variety of spatial datasets and provides just the right level of functionality to satisfy both experienced geographic information system professionals and beginning users. The road conditions were determined by using the Pavement Condition Index method. Based on the results, it was found that four PCI value for four roads at surrounding of Pagoh area is 59 until 91 this shows that every road in between of condition fair, satisfactory and good. Also, it was found that the highest type of distress that stated was alligator crack which is the sum of 01L(low) and 01M(medium) and give the value of 31 number of point distress. Then the patching 11L(low) and 11M(medium) with a total of 29 can be categorized as the second highest distress.

Volume 12 | 02-Special Issue

Pages: 635-641

DOI: 10.5373/JARDCS/V12SP2/SP20201115