Sustainable Urban Development: AI-Powered Parking Optimization Strategies

EasyChair Preprint no. 13117

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, machine learning, Parking optimization, quality of life, urban planning

@Booklet{EasyChair:13117,
  author = {Rossy Preston and Wahaj Ahmed},
  title = {Sustainable Urban Development: AI-Powered Parking Optimization Strategies},
  howpublished = {EasyChair Preprint no. 13117},

  year = {EasyChair, 2024}}