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Digital Trial: How to plan transport infrastructures more efficiently
The platform Wicaksono creates works with digital twins: with digital asset counterparts of real projects, systems or infrastructures. (Source: Pang Yuhao/Unsplash)
February 23, 2023
Reduce costs, increase productivity and simplify processes: Researchers at Constructor University in Bremen are developing a digital platform for managing transport infrastructures in a more efficient way. Professor Hendro Wicaksono's project is funded by the German Federal Ministry of Digital Affairs and Transport (BMDV).
The platform that Wicaksono and his team are setting up works with so-called “digital twins”: with digital asset counterparts of real projects, systems or infrastructures. They contain all the relevant technical information on which they are based. The digital assets are fed with real-time data and cover the entire life cycle of a form of infrastructure. With the help of these digitalization measures in the transport sector, resources can be used more efficiently and thus the management of infrastructures can be optimized.
Dr.-Ing HenDr.-Ing Hendro Wicaksono is Professor of Industrial Engineering and the scientific coordinator of the research project. (Source: private)dro Wicaksono is Professor of Industrial Engineering and the scientific coordinator of the research project. (Source: private)
"With such a tool, workflows and decisions can be tested and optimized in the digital world before they are transferred to the real world," says Wicaksono, Professor of Industrial Engineering, describing one of the benefits. Another is that by integrating various data, plant operators can determine at an early stage when, for example, maintenance or servicing of a bridge is necessary.
The portal is intended to be used by the various companies involved in the construction or maintenance of an infrastructure. Small and medium-sized enterprises in particular will be involved, thus promoting cooperation between them. In the project itself, Wicaksono is the scientific coordinator and responsible for semantic data management and the development of predictive models, among other things. Here, machine learning and probability calculation are used to predict outcomes. Wicaksono designed a specific form of artificial intelligence, "Explainable AI", which makes decisions of a machine learning model transparent and comprehensible. In addition to Constructor University, two companies - Vectorsoft AG and Concedra - are also involved in the project.
Questions answered by: Prof. Dr.-Ing. Hendro Wicaksono | Professor of Industrial Engineering hwicaksono [at] constructor.university | +49 421 200-3075
About Constructor University: An international community, vibrant and diverse. Offering academic excellence, ensuring the highest standards in research and teaching. Empowering students to solve the world's pressing challenges through knowledge and science: Constructor University is a top-ranked, English-speaking, private university. Founded in 2001, it provides a wide range of 25+ academic programs and PhD. The Constructor ecosystem comprises the University, located in Bremen, Germany, and an institute in Schaffhausen, Switzerland. Over 1.800 students from more than 110 nations on campus benefit from a unique interdisciplinary, foundational theoretical and practical education. Enriched with a buzzing entrepreneurial culture that prepares young professionals to thrive in the job market. With 6.000+ alumni worldwide, our community keeps growing – with our highest cohort ever registered in 2022. The research-centric faculty projects are funded by the German Research Foundation and the European Union's Framework Program for Research and Innovation as well as by globally leading companies. The Constructor ecosystem benefits from partnerships with high-ranked universities such as Carnegie Mellon, the University of Geneva or the National University of Singapore School of Computing, and technology companies such as Anisoprint, JetBrains and ChemDiv.
Constructor is a global institution dedicated to addressing the main challenges of the world through science, education, and technology. Apart from the University, the ecosystem relies on several for-profit entities that provide technology infrastructures and solutions, life-long education programs, consulting services, and funding: Alemira by Constructor, Rolos by Constructor, Constructor Learning and Constructor Capital.
