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What is Smart City Traffic Brain

Demystifying Federated Learning for Blockchain and Industrial Internet of Things
The Smart City Traffic Brain is one more application of smart city created on digital twin. Trusting on technologies such as holographic perception, time-space analysis, and data mining, the Wuhan Road Traffic Smart Emergency System is established, which is a significant part of Wuhan Smart City Traffic Brain. The system is intended to deeply assimilate multi-network resources and real-time dynamic traffic information, while linking various emergency platform resources such as city alarm system, the police, road condition system, accident emergency system and traffic video system, and presenting them on the same interface.
Published in Chapter:
Digital Twins and Federated Learning for Smart Cities and Their Applications
Surabhi Shanker (Trinity Institute of Professional Studies, Guru Gobind Singh Indraprastha University, India)
DOI: 10.4018/978-1-6684-3733-9.ch009
Abstract
This chapter is written with the intent to explore the history, architecture, applications, and challenges in the implementation of digital twin with IoT competences. Digital twins are considered to be a fundamental starting point for today's smart city construction. The chapter initiates with a brief description of the concepts of digital twins and digital twin for cities and smart homes, discusses the relationship between digital twins and smart cities, analyses the characteristics of smart cities and homes based on digital twins, and focuses on the main applications of smart cities based on digital twins. This chapter sheds light on the future development of smart cities and smart homes based on digital twins.
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