About this document
Scalable Parking Solutions Research by Maxil Urocay is a document available to read on EtoBox.
The research project presents an optimized parking management system that utilizes advanced data structures and algorithms to improve parking efficiency, real-time space availability, and scalability. Key features include the use of hashmaps for quick spot allocation, priority queues for vehicle flow management, and linked lists for activity logging. The findings indicate significant improvements in parking management, contributing to smarter urban mobility solutions.
- Author
- Maxil Urocay
- Language
- EN