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Enhancing Urban Mobility: Integrating AI for Dynamic Parking Solutions

EasyChair Preprint no. 13113

10 pagesDate: April 27, 2024


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

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Bhuvana Banik and Wahaj Ahmed},
  title = {Enhancing Urban Mobility: Integrating AI for Dynamic Parking Solutions},
  howpublished = {EasyChair Preprint no. 13113},

  year = {EasyChair, 2024}}
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