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. 2024 Feb 12;24(4):1202. doi: 10.3390/s24041202

Table 7.

A selection of infrastructure and transportation digital twins research.

Domain Physical Asset Sensors Physical–Digital Data Flow Form of Digital Asset Research Objective Ref.
Infrastructure modeling Campus buildings LiDAR Point cloud data Virtual replicas of large campus infrastructure Assess and implement reconstruction methods to create digital twins of large infrastructure using point cloud data [54]
Transportation infrastructure Magnetic levitation track Cameras and LiDAR Fusion of 2D images 3D point clouds Detailed digital representation with macroscopic to microscopic perspective analysis Fuse 2D image and 3D point cloud to create a digital twin model of magnetic levitation track [55]
Urban logistics Urban infrastructure and logistics systems Sensors, actuators, and logistic system documentation Sensor readings reflecting the state of the logistic system Interactive dashboards with metrics and logs to inform policy making Propose a platform architecture for digital twins in urban logistics, addressing gaps in simulation model orchestrations and data transformation [56]
Factory logistics Assembly line with Automated Guided Vehicles (AGVs) Sensors for AGV tracking and monitoring Sensor readings and documentation of assembly logistics Data model, simulation analysis, and virtual action model of the assembly line Develop and apply an AGV multi-objective dynamic scheduling method based on digital twins to improve logistics efficiency [34]
Transportation planning Long-distance freight flows with various transport modes IoT sensors, GPS, and GIS Real-time data inputs from transport modes Virtual infrastructure visualization and transportation mode analysis Explore the potential of digital twins in synchromodal transport for long-distance freight flows [57]
Smart agriculture Cyclone bag filter in grain milling plants Pressure sensors and anemometer Real-time sensor readings Computational fluid dynamics simulation of cyclone bag filter for RUL prediction Apply digital twins for predictive maintenance of the cyclone bag filter system [58]