Enhancing Urban Mobility: Integrating AI for Dynamic Parking Solutions

EasyChair Preprint 13113

Abstract

Urban mobility faces significant challenges due to increasing population density and the consequent rise in vehicular traffic. Among the critical issues is parking management, which contributes to congestion, pollution, and inefficiency. This paper explores the integration of Artificial Intelligence (AI) into urban parking systems to enhance mobility. By analyzing various AI-driven approaches and their impact on dynamic parking solutions, this research provides insights into how AI can optimize parking availability, reduce congestion, and improve overall urban mobility.

Keyphrases: Artificial Intelligence, anomaly detection, cloud infrastructure, deep learning, machine learning

@booklet{EasyChair:13113,
  author    = {Bhuvana Banik and Wahaj Ahmed},
  title     = {Enhancing Urban Mobility: Integrating AI for Dynamic Parking Solutions},
  howpublished = {EasyChair Preprint 13113},
  year      = {EasyChair, 2024}}