IoT-Enabled Smart Car Parking System through Integrated Sensors and Mobile Applications
Abdullah Al Mamun, Abdul Hasib, Abu Salyh Muhammad Mussa, Rakib Hossen, Anichur Rahman
TL;DR
The paper addresses urban parking congestion by proposing an IoT-enabled smart car parking system that integrates IR vehicle detection, DHT22 environmental sensing, and MQ-2 gas monitoring with Arduino Uno and Raspberry Pi for gate control and MQTT for real-time updates. It contributes a comprehensive hardware/software architecture, end-to-end workflow, real-time slot management via an OLED display and mobile app, and a comparative performance analysis against non-IoT approaches. The findings show improved integration, real-time data delivery, safety alerts, automation, and faster response, supporting scalable deployment in smart cities. This work has practical implications for reducing search time, emissions, and traffic congestion while enabling safer, more responsive parking facilities through real-time IoT orchestration.
Abstract
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.