Implementation of an Internet of Things Parking System: Case Study (Federal University of Technology Akure)
Abstract
The manual method of car parking system generally involves searching the whole parking area until an available parking spot is found which leads to time wasting and as well environmental pollution, this paper implemented an IoT-based parking management system at the Federal University of Technology Akure as case study. The system uses sensors to determine whether parking spaces are available and gives drivers real-time information, easing traffic congestion and improving the parking experience overall. The usefulness of the system in terms of speeding up parking turnover and decreasing the amount of time spent looking for locations is examined in the study. The study also investigates the prospects and difficulties of establishing an IoT-based parking management system in any setting. The results of the system show that, the system manages parking spaces effectively and efficiently and may be used in other situations that are similar.
Keywords
Parking Spaces, Smart Car Parking System, Internet of Things, Message Queuing Telemetry Transport (MQTT), Flutter, Arduino Integrated Development Environment, NodeMCU.
Citations
IRE Journals:
Boyinbode Olutayo Kehinde , Daramola Oladunni Abosede , Ijaola Joseph Boluwatife , Ashiru Taofeek Oladayo
"Implementation of an Internet of Things Parking System: Case Study (Federal University of Technology Akure)" Iconic Research And Engineering Journals Volume 8 Issue 5 2024 Page 134-141
IEEE:
Boyinbode Olutayo Kehinde , Daramola Oladunni Abosede , Ijaola Joseph Boluwatife , Ashiru Taofeek Oladayo
"Implementation of an Internet of Things Parking System: Case Study (Federal University of Technology Akure)" Iconic Research And Engineering Journals, 8(5)
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