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Talenta: Revolutionizing Digital Twin Asset Management for Sustainable Transportation Infrastructure
The Talenta platform is revolutionizing transportation infrastructure management by tackling key challenges in digital twin adoption, especially for Small and Medium Enterprises (SMEs).
Here’s why Talenta is a game-changer:
• Solving Key Problems: The current use of digital twins is limited by a lack of common understanding, complex integration, security concerns, difficult access to essential data, and high costs due to inefficient business models. For SMEs, questions around business models, costs, and data access are particularly challenging. Talenta directly addresses these issues by developing an intuitive, secure, and collaborative asset management platform.
• Innovative Core Technologies:
◦ Standardized Semantic Models: Talenta creates a uniform, graph-based semantic model of assets using ontologies. This promotes a shared understanding of data and models across companies and organizations.
◦ Explainable AI (XAI): The platform develops an XAI toolset to improve the transparency and interpretability of insights derived from digital twin data, fostering trust among stakeholders in transport infrastructure management.
◦ Intelligent Search and Discovery: Talenta features a scenario-based intelligent search and discovery mechanism that automatically translates natural language queries into knowledge graph queries, making it easier to find and reuse digital assets.
• Significant Benefits and Impact:
◦ Empowering SMEs: Talenta aims to increase the involvement of SMEs in the digitization of transport infrastructure by offering “Digital Twin as a Service (DTaaS)” and “Machine Learning as a Service (MLaaS)” business models, creating new revenue streams for them.
◦ Enhanced Efficiency & Sustainability: The platform improves resource efficiency in infrastructure management. It enables more efficient simulation models for maintenance, expansion, and dismantling of infrastructure, leading to reduced operating costs and contributing to sustainability through energy and CO2 balance analysis.
◦ Improved Decision-Making: By providing better data utilization and explainable insights, Talenta supports authorities like the Federal Highway Research Institute (BASt) and the Federal Railway Authority (DZSF) in managing road and rail infrastructure more effectively.
◦ Seamless Integration: The Talenta ontology reuses and links existing standards (like Open BIM, IFC, CityGML, Automotive Ontology), enabling seamless integration of various digital models and legacy solutions into the platform.
◦ Secure Collaboration: It ensures secure use and exchange of digital assets across organizational borders through novel multi-level authentication and authorization mechanisms.
• Platform Components: The Talenta platform is built on five main components: the Talenta ontology, a semantic uplift tool, an XAI toolset, an intelligent search and discovery mechanism, and a visualization and interaction interface.
The Talenta platform is set to accelerate the adoption of digital twins in the German transportation sector, involving SMEs as a crucial part of this digital transformation.
Publications
Towards Intelligent and Trustable Digital Twin Asset Management Platform for Transportation Infrastructure Management Using Knowledge Graph and Explainable Artificial Intelligence (XAI)
https://doi.org/10.1109/IEEM58616.2023.10406401
Predictive Analysis of Public Transportation Delays Using Machine Learning Models on GTFS Data
https://doi.org/10.1109/IEEM62345.2024.10857111
Enhancing Transparency in Public Transportation Delay Predictions with SHAP and LIME
https://doi.org/10.1109/IEEM62345.2024.10857000