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September 10, 2025ShodhKosh Journal of Visual and Performing Arts

Enhancing Urban Mobility Through Machine Learning-Driven Traffic Management in Smart Cities

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Authors

KMKrishna MurariRanchi University

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Overview

This approach enhances traffic management in smart cities, reducing congestion and improving urban mobility.

Key Points

  • The proposed system reduces congestion and improves air quality through real-time traffic management.
  • Using machine learning algorithms, the system analyzes data from sensors and cameras to predict traffic patterns.
  • Real-world case studies demonstrate the effectiveness of this machine learning-powered traffic management system.
  • The adaptable system can integrate with other smart initiatives, enhancing overall urban mobility.

Cite This Study

Krishna Murari (2024) studied this question.

synapsesocial.com/papers/68c199f49b7b07f3a061bf7dhttps://doi.org/10.29121/shodhkosh.v5.i1.2024.6386
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