The main objective is to develop SDIoTPark, a data analytics framework for smart parking using SDN-based IoT, where vehicles can efficiently find parking spaces by checking real-time availability on ThingSpeak. This system aims to optimize parking management, reduce congestion, and enhance user convenience through IoT integration and data-driven decision-making.
SDIoTPark is an advanced smart parking management system that leverages SDN-based IoT technologies to optimize urban parking solutions. It utilizes Infrared (IR) sensors to detect vehicle presence in parking slots and employs a straightforward LED system—green LEDs for available slots and red LEDs for occupied ones. This setup provides real-time visual feedback, helping drivers quickly locate open parking spaces and reducing the time spent searching for parking, which in turn alleviates traffic congestion.The system integrates Adafruit technology for slot booking, allowing users to reserve parking spaces and automatically updating the slot status with a red LED once booked. SDIoTPark also features robust data analytics capabilities, offering insights into parking usage patterns, peak times, and overall demand. This information aids urban planners and parking facility managers in making informed decisions to optimize parking infrastructure and improve overall management efficiency.
Keywords: Smart parking , Adafruit, LED.
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