Smart City Gnosys

Smart city article details

Title Development Of Digital Twin Road Infrastructure For Smart City Modeling
ID_Doc 19681
Authors Nokkaew P.; Leksansern A.; Jindasee P.; Kamonsantiroj S.; Srisomboon K.; Sutthisangiam N.
Year 2025
Published Lecture Notes on Data Engineering and Communications Technologies, 259
DOI http://dx.doi.org/10.1007/978-3-031-96093-2_14
Abstract The development of Digital Twin technology has become a crucial advancement in smart city modeling, enabling precise urban planning, infrastructure monitoring, and autonomous vehicle navigation. This research presents a comprehensive workflow for creating a high-fidelity Digital Twin of road infrastructure by integrating Mobile Mapping System (MMS) data, including 3D point clouds and panoramic images. A total of 1,434 km of diverse road networks were surveyed using high-precision LiDAR and GPS-IMU sensors, with Ground Control Points (GCPs) established to validate positioning accuracy. The accuracy assessment demonstrated an average horizontal error of 0.06 m and a vertical error of 0.09 m, confirming the reliability of the collected data. To enhance visualization and usability, an RGB-colored point cloud was generated by aligning panoramic images with LiDAR data, followed by the transformation into a 3D mesh model. A Web-Based Visualization platform was developed using open-source tools such as Potree and Cesium, allowing seamless interaction with spatial data for real-time analysis. The integration of Artificial Intelligence (AI)-based segmentation techniques was explored to improve feature extraction and automation in Digital Twin creation. The findings of this research highlight the effectiveness of MMS-derived data in producing highly accurate Digital Twins for smart city applications. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Author Keywords


Similar Articles

Id Similarity Authors Title Published
30635 View0.907Adreani L.; Bellini P.; Colombo C.; Fanfani M.; Nesi P.; Pantaleo G.; Pisanu R.Implementing Integrated Digital Twin Modelling And Representation Into The Snap4City Platform For Smart City SolutionsMultimedia Tools and Applications, 83, 12 (2024)
29696 View0.902Bacher U.Hybrid Aerial Sensor Data As Basis For A Geospatial Digital TwinInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 43, B4-2022 (2022)
30500 View0.897Kamioka S.; Yamazaki T.; Miyoshi T.Implementation And Evaluation Of Digital Twin Using Lidar And 3D City Models2025 1st International Conference on Consumer Technology, ICCT-Pacific 2025 (2025)
19565 View0.893Sta Ana R.R.; Escoto J.E.; Fargas D., Jr.; Panlilio K.; Jerez M.; Sarmiento C.J.Development Of A Digital Twin For The Monitoring Of Smart Cities Using Open-Source SoftwareInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 46, 4/W6-2021 (2021)
20203 View0.893Adreani L.; Bellini P.; Colombo C.; Fanfani M.; Nesi P.; Pantaleo G.; Pisanu R.Digital Twin Framework For Smart City SolutionsDMSVIVA 2022 - Proceedings of the 28th International DMS Conference on Visualization and Visual Languages (2022)
40178 View0.892Blaser S.; Meyer J.; Nebiker S.Open Urban And Forest Datasets From A High-Performance Mobile Mapping Backpack - A Contribution For Advancing The Creation Of Digital City TwinsInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 43, B1-2021 (2021)
27247 View0.887Zhu Q.; Zhang L.; Ding Y.; Hu H.; Ge X.; Liu M.; Wang W.From Real 3D Modeling To Digital Twin Modeling; [从实景三维建模到数字孪生建模]Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 51, 6 (2022)
31818 View0.885Petrov S.; Dimitrov S.; Ihtimanski I.Integrated Application Of Geospatial Technologies For Digital Twining Of Urbanized Territories For Microscale Urban PlanningProceedings of SPIE - The International Society for Optical Engineering, 13212 (2024)
6755 View0.882Broschart D.; Fischer M.; Jubanski J.; Siegert F.Aerial Imagery, Ai-Algorithms And A 3D-Meshmodel – How The Mfund-Research Project „Twincity3D“ Is Developing A Smart-City Approach For Towns And Middle Towns; [Luftbildaufnahmen, Ki-Algorithmen Und Ein 3D-Mesh-Modell – Wie Im Mfund-Forschungsprojekt „Twincity3D“ In Landsberg Am Lech Ein „Smart City“Ansatz Für Klein-Und Mittelstädte Entwickelt Wird]gis.Science - Die Zeitschrift fur Geoinformatik, 2024, 1 (2024)
55317 View0.881Syed Abdul Rahman S.A.F.; Abdul Maulud K.N.; Ujang U.; Wan Mohd Jaafar W.S.; Shaharuddin S.; Ab Rahman A.A.The Digital Landscape Of Smart Cities And Digital Twins: A Systematic Literature Review Of Digital Terrain And 3D City Models In Enhancing Decision-MakingSAGE Open, 14, 1 (2024)