IoT-Enabled Smart Car Parking System through Integrated Sensors and Mobile Applications

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Podrobná bibliografie
Vydáno v:	arXiv.org (Dec 14, 2024), p. n/a
Hlavní autor:	Abdullah Al Mamun
Další autoři:	Hasib, Abdul, Abu Salyh Muhammad Mussa, Rakib Hossen, Rahman, Anichur
Vydáno:	Cornell University Library, arXiv.org
Témata:	Automobiles Internet of Things Applications programs Automation Gas sensors Infrared detectors Communication Servomotors Smart cars Parking facilities Mobile computing Real time Smart sensors Queueing
On-line přístup:	Citation/Abstract Full text outside of ProQuest
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Popis
Abstrakt:	Due to more population congestion and car ownership, the provision of parking spaces for vehicles is becoming a crucial factor. This paper aims to present a novel Internet of Things (IoT)--based smart car parking system that can effectively manage these problems with the help of sensor technology and automation. Infrared (IR) sensors, DHT22 sensors, MQ-2 gas sensors, and servo motors are used in the parking space. An OLED display shows the status of parking slots in real-time. Communicating with a mobile application through the Message Queuing Telemetry Transport (MQTT) protocol enables the efficient exchange of data. As a result, this innovative solution optimizes parking space, increases efficiency, and makes the parking lot more comfortable. This IoT system allows real-time monitoring and automation of parked cars as well as fast response to dynamic changes in environmental conditions, setting a new standard for smart parking systems.
ISSN:	2331-8422
Zdroj:	Engineering Database