Building Virtual 3D City Model for Smart Cities Applications
A Case Study on Campus Area of the University of Novi Sad
Bibliographic Data
| ID | 22033136 |
|---|---|
| Authors | Dušan Jovanović (0000-0001-6834-0376, University of Novi Sad, corresponding author), Stevan Milovanov (University of Novi Sad), Igor Ruskovski (0000-0003-2097-4884, University of Novi Sad), Miro Govedarica (0000-0003-1698-0800, University of Novi Sad), Dubravka Sladić (0000-0001-5562-4556, University of Novi Sad), Aleksandra Radulović (0000-0002-7141-7626, University of Novi Sad), Vladimir Pajić (University of Novi Sad) |
| Year | 2020 |
| Volume | 9 |
| Issue | 8 |
| Pages | 476 |
| Publication date | 2020-07-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi9080476 |
| OpenAlex | W3046143180 |
| Language | EN |
| Citations received | 10 |
| References cited | 57 |
The Smart Cities data and applications need to replicate, as faithfully as possible, the state of the city and to simulate possible alternative futures. In order to do this, the modelling of the city should cover all aspects of the city that are relevant to the problems that require smart solutions. In this context, 2D and 3D spatial data play a key role, in particular 3D city models. One of the methods for collecting data that can be used for developing such 3D city models is Light Detection and Ranging (LiDAR), a technology that has provided opportunities to generate large-scale 3D city models at relatively low cost. The collected data is further processed to obtain fully developed photorealistic virtual 3D city models. The goal of this research is to develop virtual 3D city model based on airborne LiDAR surveying and to analyze its applicability toward Smart Cities applications. It this paper, we present workflow that goes from data collection by LiDAR, through extract, transform, load (ETL) transformations and data processing to developing 3D virtual city model and finally discuss its future potential usage scenarios in various fields of application such as modern ICT-based urban planning and 3D cadaster. The results are presented on the case study of campus area of the University of Novi Sad
3D city models · Computer security · Data collection · Data mining · Data science · Database · Geography · Geomatics · Lidar · Remote sensing · Smart city · Visualization · Workflow · World Wide Web · 3D Modeling in Geospatial Applications · 3D Surveying and Cultural Heritage · Computer Science · Remote Sensing and LiDAR Applications
A 3D Model-Based Framework for Real-Time Emergency Evacuation Using GIS and IoT Devices
Virtual 3D City Models
Improving Three-Dimensional Building Segmentation on Three-Dimensional City Models through Simulated Data and Contextual Analysis for Building Extraction
Modeling Buildings in CityGML LOD1
Open Geospatial Data Integration in Game Engine for Urban Digital Twin Applications
Toward 3D Property Valuation—A Review of Urban 3D Modelling Methods for Digital Twin Creation
Semantic Segmentation and Roof Reconstruction of Urban Buildings Based on LiDAR Point Clouds
Integrating Urban Digital Twin with Cloud-Based Geospatial Dashboard for Coastal Resilience Planning
The Digital Landscape of Smart Cities and Digital Twins
A user-centred virtual city information model for inclusive community design
An improved LOD specification for 3D building models
Applications of 3D City Models
Dynamic Online 3D Visualization Framework for Real-Time Energy Simulation Based on 3D Tiles
Exploiting IoT and big data analytics
Enabling technologies and sustainable smart cities
A new procedure for assessing the energy-efficient refurbishment of buildings on district scale
The Land Administration Domain Model
Exploring the 3rd dimension within public law restrictions
Development of process model for Serbian cadastre
| Unique citing works | 10 |
|---|---|
| Citations per year | 2,5 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 10 |