Digital Twin Technologies Towards Understanding the Interactions Between Transportation and Other Civil Infrastructure Systems: Phase 2 [Supporting Dataset]
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2023-07-07
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Alternative Title:Data for Campus SLL
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Abstract:The advent of Digital Twin (DT) technology signifies a significant stride towards the progressive transformation from physical to digital paradigms within the realm of civil engineering. Its predecessors, namely Computer-Aided Drafting (CAD) and Building Information Modeling (BIM), have revolutionized the industry by streamlining the documentation of designs, curtailing both time and cost investments. The primary objective of this research was to explore different ways to create Digital Twins for civil infrastructure and to explore the effectiveness of DT technology as a tool to create new visualizations and understand interactions between transportation and other related civil infrastructure systems. We used The University of Texas at El Paso (UTEP) campus as a living lab by creating DT models based on transportation network, structural modelling, and LiDAR scans of different parts of the campus. The transportation network and 3D model of the entire campus was combined for traffic simulation and real-time sensing at a roundabout, while the digital model of a pedestrian bridge was made for structural simulations with provisions for strain and tilt sensors. In addition, LiDAR scans of campus buildings were integrated into virtual reality (VR) applications for visualization in VR headsets.
The total size of the zip file is 1.62 GB. Desktop Services Store files, or DS_STORE Files, are Mac OS files that stores desktop attributes such as icons and colors. They are only used by Mac OSs and don't require additional software (for more information on .ds_store files and software, please visit https://www.file-extensions.org/ds_store-file-extension). The .mp4 file extension is used mainly for the MPEG-4 multimedia file format. These .mp4 files are in a container format defined in the Systems Part of the MPEG-4 standard (ISO 14496-1). The .mp4 files support all kinds of multimedia content (multiple audio streams, video streams, subtitle streams, pictures) and advanced content (called "Rich Media" or "BIFS") like 2D and 3D graphics, user interactivity, DVD-like menus. The MP4 file format is also streamable (for more information on .mp4 files and software, please visit https://www.file-extensions.org/mp4-file-extension). The .txt file type is a common text file, which can be opened with a basic text editor. The most common software used to open .txt files are Microsoft Windows Notepad, Sublime Text, Atom, and TextEdit (for more information on .txt files and software, please visit https://www.file-extensions.org/txt-file-extension). Polygon graphics files, .ply, are simple objects that were designed to be an accessible format for polygon models. These files are typically created in Blender (for more information on .ply files and software, please visit https://www.file-extensions.org/ply-file-extension). DWG files are files created in AutoCAD, a CAD software for Microsoft Windows and Apple Mac developed by Autodesk Incorperated. Typcally used in CAD drawings, this file format stores two and three dimensional data (for more information on .dwg files or software, please visit https://www.file-extensions.org/dwg-file-extension). The .rtd file format is used by the software Autodesk Robot Structural Analysis Professional and typically stores designs in the program (for more information on .rtd files and software, please visit https://www.file-extensions.org/rtd-file-extension-autodesk-robot-structural-analysis-professional-design). MTL files typically store wavefront data in Adobe Photoshop software or stores the mill tool library in the CAD software Mastercam (for more information on .mtl files or software, please visit https://www.file-extensions.org/mtl-file-extension). Object files, or .obj files, are a standardized file type that contain 3D objects. While they are used by many programs, these files are typically associated with Autodesk (for more information on .obj files and software, please visit https://www.file-extensions.org/obj-file-extension). The digital campus model was built in the compiled from source CARLA project of Unreal Engine using 3d terrain data from Google maps using Renderdoc and Blender, and road network exported from Openstreetmap. Roadrunner software from Mathworks was used to project the road onto the height map obtained from the US Geological Survey. While Google has one of the most up to date and accurate maps, the non-proprietary collaborative project OpenStreetMap (OSM) uses data from freely available sources presented in a convenient manner with options to export the data in OSM files. These files are XML formatted, containing road network information in the form of nodes, ways, and relations, which can be used for multimodal microscopic transportation simulations in free software like SUMO or proprietary software like VISSIM. In the case of SUMO, it comes with a utility called netconvert, that can take many arguments for customization including default signal times, which converts the OSM file into road network XML files that can be used for simulation. Some preprocessing needs to be performed since missing information like the number of lanes, intersection links, or speed limits can be added or updated before simulation. The OSM file can also be converted to a popular JSON based GIS format, General Modeling Network Specification (GMNS) using a tool called osm2gmns. This allows visualization, editing, and simulations in free geospatial analysis software like QGIS. Autodesk Robot Structural Analysis is a structural load analysis software that is capable of data exchange with Autodesk Revit using BIM-integrated workflows. The software is designed to make resilient structures that are code compliant and accurate. The BIM integration enables the team to model and analyze the pedestrian bridge, then implement sensors in the model to create a real-time link with load and temperature deformations using other software.
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Content Notes:National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2023-12-06. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
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