Optimizing Urban Mobility in Hangzhou: A Case Study of the City Brain’s AI-Driven Traffic Management

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Optimizing Urban Mobility in Hangzhou: A Case Study of the City Brain’s AI-Driven Traffic Management

This study examines Hangzhou’s City Brain as an AI-enabled traffic governance platform. Using Leong & Kumar (2023) four-dimensional ITS framework—data acquisition, connectivity, intelligence, and responsiveness, the paper evaluates operational outcomes, governance conditions, and transferability...

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Bibliographic Details
Main Authors:	Guo, Hanxiang, Leong, Wai Yie
Format:	Article
Language:	English English
Published:	INTI International University 2025
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General) TE Highway engineering. Roads and pavements
Online Access:	http://eprints.intimal.edu.my/2171/ http://eprints.intimal.edu.my/2171/1/ij2025_25.pdf http://eprints.intimal.edu.my/2171/2/719

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