Assessing the maturity of digital twins in global transportation engineering with a focus on Brazil

Resumo

This study evaluates the maturity of digital twin technologies in global transportation engineering, with a specific focus on Brazil. Digital twins globally integrate real-time data and predictive modeling, advancing to higher maturity levels. However, in Brazil, applications are primarily at Level 2 maturity, characterized by static data and limited integration. This research employs the Maturity Model for Digital Twins to assess global and Brazilian implementations, highlighting the disparity. The comprehensive methodology includes a literature review and case study analysis, offering insights into the challenges and potential of digital twin technologies in Brazil. The findings indicate the necessity for significant investment in IoT infrastructure and data analytics to elevate Brazil’s digital twin maturity. Key recommendations include the adoption of real-time data integration, scalable solutions, and interdisciplinary approaches to enhance the efficiency and sustainability of Brazil's transportation infrastructure.