Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities

Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities

10.3390/ijgi9040240

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Bibliographic Details
Main Authors: Shirowzhan, S., Tan, W., Sepasgozar, S.M.E.
Other Authors: DEPT OF BUILDING
Format: Review
Published: MDPI AG 2021
Subjects:
Artificial intelligence
Big data
CyberGIS
Digital twin
GIS
Infrastructure construction
Lidar
Machine learning
Mobile laser scanner
Point cloud
Point-based algorithms
Smart city
Smart parking
Urban computing
Online Access:https://scholarbank.nus.edu.sg/handle/10635/199038
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Institution: National University of Singapore

Internet

https://scholarbank.nus.edu.sg/handle/10635/199038

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