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Real-Time Parking Guidance Systems Using Advanced Machine Learning Algorithms

EasyChair Preprint 13115

10 pagesDate: April 27, 2024

Abstract

Automated parking management systems have the potential to streamline urban transportation and reduce traffic congestion. This paper presents a novel approach to parking optimization using advanced machine learning algorithms. By analyzing historical data and real-time traffic patterns, our solution dynamically allocates parking spaces to optimize utilization and enhance overall urban mobility.

Keyphrases: Automated Parking, dynamic allocation, machine learning, traffic congestion, urban mobility

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:13115,
  author    = {Kailash Pandey and Wahaj Ahmed},
  title     = {Real-Time Parking Guidance Systems Using Advanced Machine Learning Algorithms},
  howpublished = {EasyChair Preprint 13115},
  year      = {EasyChair, 2024}}
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