Real Time Parking

Real-time parking management aims to optimize parking resource utilization and alleviate traffic congestion through accurate prediction and efficient allocation of parking spaces. Current research heavily utilizes deep learning models, including graph neural networks and sequence-to-sequence architectures, to predict parking availability, recommend optimal parking locations, and even dynamically adjust parking prices based on factors like air quality. These advancements are improving urban planning, enhancing driver experience through real-time information systems, and contributing to more sustainable transportation solutions.