Digital Twin at Urban Scale for a Master Plan in the Area of the CEBU Airport (Philippine)

In the view of the current traffic situation of Metro Cebu in recently years, the problems of urban air pollution have become more and more serious, the pollution problems caused by the operation of urban motor vehicles has become prominent. At the same time, digital twin, IoT, big data, artificial intelligence, virtual reality, and other new generation information technologies are deeply integrated and developed with the cities. This case study through the modelling of the proposed mobility Hub, the interactive driving simulator, and the traffic data visualization management center with the help of digital twin dashboard to provide a methodology to optimize the Metro Cebu traffic situation and improve the government management efficiency. The main research work of the thesis is the macroscopic traffic analysis, microscopic traffic analysis of Cebu metro to make decision of the mobility hub location, the emission and energy analysis of the electric vehicles in the future, finally based on the 3D models of digital urban and using the interactivity of the Unity3D platform to design a data visualization management system. Given the rapid development that cities are experiencing in terms of population, size and energy consumption, the methodological Digital Twin supplied aims to enhance citizens life quality with the help of industry 4.0 technologies. This objective is pursued addressing some of the seventeen sustainable development goals by the UN 2030 Agenda.