Transforming Urban Landscapes: the Role of AI in Parking Space Optimization

EasyChair Preprint no. 13170

Abstract

As cities continue to grow, optimizing parking infrastructure becomes increasingly important for urban planners. This paper explores the potential of AI-driven approaches to transform parking systems and improve efficiency. By employing machine learning algorithms for demand forecasting and space allocation, our proposed solution aims to optimize parking utilization, reduce congestion, and enhance the urban living experience.

Keyphrases: AI-driven solutions, Congestion Reduction, Demand Forecasting, Parking Infrastructure, urban planning

@Booklet{EasyChair:13170,
  author = {Wahaj Ahmed and Rahul Agarwal},
  title = {Transforming Urban Landscapes: the Role of AI in Parking Space Optimization},
  howpublished = {EasyChair Preprint no. 13170},

  year = {EasyChair, 2024}}