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September 5, 2025INTI JOURNAL.Open Access

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

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Authors

GHGuo HanxiangWLWai Yie Leong

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Overview

Case study shows improved traffic efficiency and emergency response in Hangzhou, suggesting strong AI governance is crucial.

Key Points

  • Average traffic efficiency improved significantly in pilot corridors, enhancing urban mobility.
  • Emergency response times shortened markedly, attributed to the integration of AI-driven traffic management.
  • The public–private partnership coupled with cloud-scale analytics played a critical role in operational success.
  • Challenges remain regarding data governance and ensuring public trust in AI systems.

Cite This Study

Hanxiang et al. (2025) studied this question.

synapsesocial.com/papers/68c23a2cb210217d6477fcafhttps://doi.org/10.61453/intij.202525
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