Digital Twin for Asset Data Management Vision for a Transportation System

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3 months agoopen2

In the United States (US), Departments of Transportation (DOTs) are responsible for managing and maintaining transportation assets. Typically, a transportation system is composed of high-value and high-visible assets such as pavements and bridges in addition to a wide variety of ancillary or auxiliary assets such as signs, traffic lights, pavement markings, and others. Each state DOT is responsible for managing a transportation system that expands over a vast network and usually amounts to billions of dollars. However, the current practices of state DOTs in managing and handling asset data and, subsequently, operating and maintaining their transportation systems are accompanied by a minimal level of digitization and the absence of standards for data collection and data handling. These current practices of asset data management result in data loss, tedious and redundant work, and lack of interoperability and data sharing between the different divisions across the DOT. Conversely, Digital Twins have the potential to leverage the value of asset data and transform data into useful information to inform decision making, while keeping the asset condition updated in a real-time manner, allowing for conducting preventive maintenance and future predictions. This webinar proposal contributes to the discourse around the value of Digital Twins for infrastructure assets by: 1) presenting the burning platform for the need for Digital Twins and defining Digital Twins, 2) investigating the requirements of ancillary transportation assets from a data perspective, and 3) presenting the blueprint of an integrated IFC and CityGML platform for developing and deploying an actual Digital Twin prototype that state DOTs can adopt and implement. Such implementation of Digital Twins is envisioned to allow DOTs to harness the value of collected data, release data from the isolated silos, and feasibly share them within different divisions to support reliable and high-quality decision-making.

2 Comments

  1. Tagoo Jaber on 2022-04-07 at 13:03

    Excellent

  2. Renata Belisario on 2022-04-08 at 03:25

    Wow!! That’s an outstanding project!

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