Projects

Introduction video and tutorial for using the Digital Twins for Physiological Equivalent Temperature. A measurement related to Urban Heat Island. This project is the result of a colaboration between ITC Faculty and and ‪VU Amsterdam.

See the links below for the papers related to this project.

Demo video of a Digital Twin for Solid Waste management. The video shows a waste generation simulation and the calculation of a collection route for improved waste management. The video shows different elements of a control dashboard for collection operations.

This was the result of Iván Cárdenas' MSc Thesis work. Read more at:
Cárdenas, I., Koeva, M., Davey, C. & Nourian, P., (2024). Urban digital twin-based solution using geospatial information for solid waste management, Sustainable Cities and society

Cárdenas, I., Koeva, M., Davey, C. & Nourian, P., (2024). Solid Waste in the Virtual World: A Digital Twinning Approach for Waste Collection Planning. Springer, p. 61-74 (Lecture Notes in Geoinformation and Cartography; vol. XIII).

This video provide the overview of tool development to allow the further proof of concept analysis of NbS interventions to reduce the temperature in Padua city.

Sukma, A. I., Koeva, M. N., Reckien, D., Bočkarjova, M., Da Silva Mano, A., Canilli, G., Vicentini, G., & Kerle, N. (2024). 3D City Digital Twin Simulation to Mitigate Heat Risk of Urban Heat Islands. In L. Diaz-Vilariño, & J. Balado (Eds.), 3D City Digital Twin Simulation to Mitigate Heat Risk of Urban Heat Islands (4/W11-2024 ed., Vol. 48, pp. 129-136). Copernicus.

Tripathy, A., Koeva, M. N., Cardenas Leon, I. L., and Nourian, P.: Planning Support System Development for analysing environmental performance of form-based design decisions: Case Study of Enschede, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4/W11-2024, 137–144

Campoverde C, Koeva M, Persello C, Maslov K, Jiao W, Petrova-Antonova D. Automatic Building Roof Plane Extraction in Urban Environments for 3D City Modelling Using Remote Sensing Data. Remote Sensing. (2024); 16(8):1386.

Wibisana, M. I., Koeva, M., Nourian, P., Petrova-Antonova, D., Karamitov, K. Leveraging LiDAR Data and Digital Twin-Based Workflow for Traffic Simulation. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Technical Commission IV Symposium 2024

Development of Digital Twin framework for decision support in flood risk management.

Kumalasari, D.; Koeva, M.; Vahdatikhaki, F.; Petrova Antonova, D.; Kuffer, M. Planning Walkable Cities: Generative Design Approach towards Digital Twin Implementation. Remote Sens. 2023, 15, 1088. https://doi.org/10.3390/rs15041088

Kumalasari, Dewi (2022) Generative Design for Walkable Cities: a case study of Sofia. (Master's thesis, University of Twente).

Generative Design for Walkable Cities: A Case Study of Sofia, Kumalasari, D.; Koeva, M.; Vahdatikhaki, F.; Petrova-Antova, D., SCSD 2022

Morales Ortega, Luis Rodrigoandrés (2023) A Digital Twin for Ground Water Table Monitoring.

Urban growth intensifies the Urban Heat Island (UHI) effect, harming health and livability. This study developed a Digital Twin-based tool in Unreal Engine to help planners mitigate UHI in Wuppertal. Using sensor data and a Random Forest model, it enables real-time temperature prediction and scenario analysis.

In PrimaVera, we create value by transforming the collected data from intelligent systems into predictions about the system’s health, by avoiding future failures through just-in-time maintenance, by doing maintenance exactly when and where needed, according to the specific needs of the system and according to its specifications.

Biodiversity loss is one of the biggest threats to the survival of humanity. Therefore, there is an urgent need for better tools to monitor biodiversity. That is what the ARISE project aims to achieve: the construction of an infrastructure, the only one of its kind in the world, to identify and monitor all species of multicellular flora and fauna in the Netherlands.

The Zorro project (Zero downtime in Cyber-physical systems) is dealing with Digital Twin technology and methodology to address the reliability and robustness of large-scale cyber-physical systems (CPS). While Intelligent Diagnostics have shown successes on small components, ZORRO aims to scale up this technology to tackle the sheer complexity of cyber-physical systems.

Large steel infrastructures (bridges, sheet piles, lock doors) degrade in time through corrosion and fatigue. The goals of this project are to increase the reliability and circularity of these infrastructures and to develop governance recommendations that operationalize technical knowledge.

Predictive digital twins will be developed that integrate structural health monitoring and prediction models. This enables a much longer – but safe – use of these infrastructures.

The project EcoLogic (Emission COntrol and Logistics Optimization for Green Infrastructure Construction) is an ambitious undertaking, aiming to make the Dutch construction logistics sector more sustainable and resilient by leveraging advanced IoT, AI, and real-time Carbon Digital Twin technologies.

At the Johannesburg Digital Twin Technology Hackathon, prototypes for waste collection, road asset management, and social safety were designed by five students from the ET and ITC faculties. The positive reception of these prototypes underscores the potential for further development of the generated ideas in the future.

In this project, researchers explore the potential of Digital Twins to aid in the creation of sustainable urban development strategies by virtually representing the real world, including physical objects and processes. The study encompasses socio-spatial, administrative, and technical perspectives, with a focus on developing tools to describe, explain, and simulate urban development, ultimately mapping changes in urban green space and climate adaptation.

This research project involves a collaboration between VU Amsterdam and the University of Twente

Its4land is a land administration toolbox which delivers a set of land tenure recording tools that are affordable, fast, easy, and responsible. Its4land is built upon fit-for-purpose principles and innovative ICT thinking.

Beyond data visualization: Context-realistic construction equipment training simulators