Next-generation smart carpark
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...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/181289 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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