Author/Authors :
sjafri, fifi susanti universiti kebangsaan malaysia - faculty of engineering and built environment, smart and sustainable township research centre - civil engineering programme, Bangi, Malaysia , abdul maulud, khairul nizam universiti kebangsaan malaysia - faculty of engineering and built environment, smart and sustainable township research centre, earth observation centre (eoc), institute of climate change - civil engineering programme, Bangi, malaysia , wan mohd jaafar, wan shafrina universiti kebangsaan malaysia - earth observation centre (eoc), institute of climate change, Bangi, Malaysia , arif, faiz universiti kebangsaan malaysia - earth observation centre (eoc), institute of climate change, Bangi, Malaysia , ab rahman, abdul aziz universiti kebangsaan malaysia - earth observation centre (eoc), institute of climate change, Bangi, Malaysia , mukhlisin, muhammad politeknik negeri semarang - department of civil engineering, Semarang, Indonesia
Abstract :
Nowadays, all data and information management is conducted in integrated digital form. The same goes for inventory management of road maintenance to ensure the updated road information. Geographical Information System (GIS) is a powerful application and able to analyse and store all the geospatial data. The objective of this study is to identify the physical condition of the roads in UKM based on information from the unmanned aerial vehicle (UAV) technology, to produce spatial data storage of road distresses and to analyse the frequency of road distress in UKM. This study was carried out in the field and a desktop study. The results of the study proved that there is road damage occurring repeatedly in the same location yearly. The results from UAV found that in a period of one year, the types of distresses decrease from 11 types to 5 types, where patching is the highest occurring road distress. Lingkungan Ilmu indicates the highest number of road distress occurring along the period at 63 distresses in 2015 and 15 distresses in 2016. All the recorded information can be stored easily by using geospatial technology. This study shows that UAV and GIS are utilisable in maintaining road inventory management.
Keywords :
Geospatial , Road distress , UAV technology , Road management , Inventory management
