Hybrid AI and Big Data Solutions for Dynamic Urban Planning and Smart City Optimization

Hybrid AI and Big Data Solutions for Dynamic Urban Planning and Smart City Optimization

Urban planning faces complex challenges, including efficient resource allocation, traffic management, and infrastructure optimization. Traditional methods often fall short in addressing these multifaceted issues, leading to inefficiencies and suboptimal outcomes. This study introduces a novel approa...

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Bibliographic Details
Main Authors: Wei Zhu, Wei He, Qingsong Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Graph neural networks (GNNs)
simulated annealing (SA)
urban planning optimization
smart city management
resource allocation
traffic management
Online Access:https://ieeexplore.ieee.org/document/10794774/
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https://ieeexplore.ieee.org/document/10794774/

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