Next-generation smart carpark

• Main Author: Lee, Shannen
• Other Authors: Huang Shell Ying
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science
• Online Access: https://hdl.handle.net/10356/181289
• Institution: Nanyang Technological University

Parking in modern urban areas presents significant challenges due to the increasing number of vehicles and limited space. This study explores various automated allocation algorithms aimed at optimising the efficiency of parking operations. The goal is to reduce wait times, enhance user experience, and maximise the utilisation of available parking spaces. By comparing different algorithms—First Available Lot (FAL), Nearest Available Lot (NAL) DurationBased Allocation, and Q-Learning—across traditional and next-generation parking structures, this research identifies the most effective solutions for modern urban settings. The implementation of such systems can significantly ease parking constraints and better manage space in densely populated areas.