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Park ASUGO: A Community-Driven Smart Parking System

Prof. Lakshmi Sharma, Dr.Devidas S. Thosar, Darshan Barhate, Prathmesh Awandhe, Swaraj Derkar

Abstract


Urban areas around the world face a persistent challenge in managing limited parking spaces amid rising vehicle usage. Traditional parking systems often result in inefficient space utilization, traffic congestion, and environmental degradation due to increased fuel consumption. Park ASUGO proposes a smart, community-driven parking solution that leverages the power of Internet of Things (IoT), real-time data sharing, and user participation to enhance urban mobility and parking efficiency. The system integrates IoT-enabled sensors, a mobile application, and cloud-based analytics to provide users with real-time updates on parking availability, navigation support, and reservation options. What sets Park ASUGO apart is its emphasis on community engagement—encouraging users to contribute information, share feedback, and participate in a reward-based model that ensures accurate data and fosters a cooperative ecosystem. By combining technology with community action, Park ASUGO aims to reduce search time for parking, decrease urban congestion, and contribute to a more sustainable and intelligent transportation infrastructure


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References


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