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Journal Article A Geospatial Platform to Manage Large-Scale Individual Mobility for an Urban Digital Twin Platform
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Authors
Ahyun Lee, Kang-Woo Lee, Kyong-Ho Kim, Sung-Woong Shin
Issue Date
2022-02
Citation
Remote Sensing, v.14, no.3, pp.1-22
ISSN
2072-4292
Publisher
MDPI
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.3390/rs14030723
Abstract
Urban digital twin (UDT) technology can be used to digitize physical urban spaces. Pre-vious UDT or smart city research reconstructed the three-dimensional topography of urban spaces, buildings, and facilities. They collected various multimodal sensor data from cities and monitored conditions such as temperature, humidity, fine dust, and real-time road traffic. However, these studies lacked ways to manage individual mobility data, such as those of the vehicles and pedestrians, which constitute major components of a city. Here, we propose a geospatial platform based on the universal game engine Unity3D, which manages large-scale individual mobility data for a UDT platform. The proposed platform stores and manages individual vehicles or pedestrians using information from public closed-circuit television. It also allows the generation of long-term route information for a unique vehicle based on its license plate. We also propose methods to anonymize license plates, to ensure the security of individuals, and to compress individual mobility data. Unique UDT models with individual mobility functionalities can be built and visualized using our proposed geospatial platform.
KSP Keywords
Closed Circuit Television(CCTV), Digital Twin, Fine Dust, Mobility data, Multimodal sensor, Real-Time, Road traffic, Route information, Smart city, Three dimensional(3D), Three-dimensional topography
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
CC BY