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An IoT-based Eco-Parking System for Smart Cities

Tamam, Ibrahim and Wang, Shen and Djahel, Soufiene (2020) An IoT-based Eco-Parking System for Smart Cities. In: The IEEE International Smart Cities Conference, 28 September 2020 - 01 October 2020, Virtual. (In Press)

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Abstract

Advanced Parking Management Systems, representing an essential part of modern transportation systems, are being designed to improve key challenges facing the transportation industry in metropolitan cities. Long commuting times, high congestion levels, and extreme carbon emissions have led researchers to focus on tackling these critical challenges facing our everyday living. This paper aims to design green parking and a truly sustainable solution that reduces CO2 emissions, congestion, and commuting times. This is achieved by developing a proof-ofconcept of an original IoT-based and eco-friendly parking system. This system, named Eco-Parking, uses a tag or mobile application for parking id authentication, relies on IR sensors to monitor the real-time parking space availability using MQTT, and allocates the car park space according to vehicular emission class (Equa Index).

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