An IoT-based Eco-Parking System for Smart Cities

Ibrahim Tamam, Shen Wang, S. Djahel
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引用次数: 4

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-of-concept 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).
智慧城市基于物联网的生态停车系统
先进停车管理系统是现代交通运输系统的重要组成部分,旨在改善大城市交通运输业面临的主要挑战。漫长的通勤时间、高拥堵水平和极端的碳排放促使研究人员专注于解决我们日常生活中面临的这些关键挑战。本文旨在设计绿色停车和真正可持续的解决方案,以减少二氧化碳排放、拥堵和通勤时间。这是通过开发原始的基于物联网的环保停车系统的概念验证来实现的。该系统名为Eco-Parking,使用标签或移动应用程序进行停车id认证,依靠红外传感器使用MQTT实时监控停车位可用性,并根据车辆排放等级(Equa Index)分配停车位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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