Developing 3D Underground Utility Model Using Mapbox Studio

Subsurface utilities are essential assets that must be considered throughout any development work. Positioning and visualizing subsurface utilities before construction activity begins provides considerable benefits for good construction project management. However, the horrifying occurrences of a striking subterranean utility, on the other hand, cost billions of dollars in societal costs each year, today more than ever. The primary reasons of this issue were a lack of information about urban underground spaces and miscommunications between utility owners and contractors. The application of present-day technology in general and especially where it is combined with intricate visualisation techniques like, for example, Augmented Reality (AR) is becoming crucial in reducing such disasters. It has been recognized as a technique capable of enhancing information availability and utilization. As a result, organizing resources, sharing information, collaborating, and encouraging good communication between construction workers and utility owners is vital. Furthermore, in the construction industry, geographic information systems (GIS) provide an interoperability solution. The use of such technology in underground construction demands precise and current information. The primary purpose of this study was to visualize the buried utilities such as water pipeline, cables, and sewage systems in 3D model to enhance the understanding and management of these assets. This research methodology divided into three phases which are preliminary studies, data collection, and data processing and interpretation. This method was developed to build an accurate and dependable subsurface utility database while also demonstrating the viability of combining GIS and AR into a single system. The results of this study show that the system is suitable for subterranean construction and this study provided an effective method for collecting and exchanging data among stakeholders in the subterranean construction industry. The findings presented here aid academics and industries in future studies on the integration of GIS and AR by providing an overview of current applications and challenges.