Abstract Manager

Digital Twinning for Transportation industry assets is the next step in the long-term digital maturity model for the transportation industry. Technology is now widely available to make digital twins an absolute reality for delivering transportation assets in today's modern age. Technologies like IoT sensors, edge computing devices, and high-speed 5G networks make data collection and analysis more accessible to every enterprise level. In addition, with more ways than ever to collect, store and access data within the cloud. Analyzing quantitative and qualitative data using artificial intelligence models and other data analysis tools is more accessible at all levels, making the insights from digital twins more manageable.
While the applications are vast for Digital twins, some possibilities to use digital twins are for system planning applications enhancements by performance monitoring and planning of the system utilization, allowing to make better decisions of future transportation assets more operationally able. In addition, digital twins can operate different safety scenarios, which allows them to identify future potential hazards or unsafe conditions before they happen in the real world, changing the engineering and design while in early design and avoiding potential liability in future designs. Asset management and digital twins also go hand and hand. Digital twins can view where systems are underperforming based on their original design, allowing asset managers to get to the root cause of the problem quickly and mitigate and communicate future potential problems on other assets within the portfolio.
While we will discuss the future applications of digital twins, we will also look at past projects that have inspired us to use digital twins at different levels of implementation. In addition, we can explore data's role in these implementations from data points, standards, and governance of that data, how data protection laws/acts fit into the security and legal issues, and recommendations going forward.