Remote Sensing (Feb 2022)

A Geospatial Platform to Manage Large-Scale Individual Mobility for an Urban Digital Twin Platform

  • Ahyun Lee,
  • Kang-Woo Lee,
  • Kyong-Ho Kim,
  • Sung-Woong Shin

DOI
https://doi.org/10.3390/rs14030723
Journal volume & issue
Vol. 14, no. 3
p. 723

Abstract

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Urban digital twin (UDT) technology can be used to digitize physical urban spaces. Previous 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.

Keywords