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Sustainable Urban Development: AI-Powered Parking Optimization Strategies

EasyChair Preprint 13117

10 pagesDate: April 27, 2024

Abstract

In the era of digital transformation, urban planning requires innovative approaches to address growing parking demands. This study explores the potential of AI-powered solutions in optimizing parking space identification and utilization. By harnessing machine learning algorithms, we propose data-driven strategies to enhance urban landscapes and improve the quality of life for city residents.

Keyphrases: Data-Driven Strategies, Parking optimization, machine learning, quality of life, urban planning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:13117,
  author    = {Rossy Preston and Wahaj Ahmed},
  title     = {Sustainable Urban Development: AI-Powered Parking Optimization Strategies},
  howpublished = {EasyChair Preprint 13117},
  year      = {EasyChair, 2024}}
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