Smart Cities: Revolutionizing Parking Management with Machine Learning

EasyChair Preprint no. 13116

Abstract

Smart cities are increasingly adopting AI-powered solutions to address complex urban challenges. This paper investigates the role of machine learning in revolutionizing parking management systems. By developing real-time parking guidance systems and dynamic space allocation algorithms, we aim to enhance urban accessibility and improve overall transportation efficiency.

Keyphrases: machine learning, parking management, Smart Cities, Transportation Efficiency, Urban Accessibility

@Booklet{EasyChair:13116,
  author = {Wahaj Ahmed and Anthony Lambert},
  title = {Smart Cities: Revolutionizing Parking Management with Machine Learning},
  howpublished = {EasyChair Preprint no. 13116},

  year = {EasyChair, 2024}}