Real-Time Parking Guidance Systems Using Advanced Machine Learning Algorithms

EasyChair Preprint 13115

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

@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}}