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).
Original language | English |
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Title of host publication | 2020 IEEE International Smart Cities Conference, ISC2 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 6 |
ISBN (Electronic) | 9781728182940 |
ISBN (Print) | 9781728182957 |
DOIs | |
Publication status | Published - 28 Sep 2020 |
Externally published | Yes |
Event | 2020 IEEE International Smart Cities Conference: Smart Cities Solutions for New Challenges, Including a Pandemic - Online, United States Duration: 28 Sep 2020 → 1 Oct 2020 https://attend.ieee.org/isc2-2020/tutorial-1/ https://attend.ieee.org/isc2-2020/ |
Publication series
Name | IEEE International Smart Cities Conference, ISC2 |
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Publisher | IEEE |
ISSN (Print) | 2687-8852 |
ISSN (Electronic) | 2687-8860 |
Conference
Conference | 2020 IEEE International Smart Cities Conference |
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Abbreviated title | ISC2 2020 |
Country/Territory | United States |
City | Online |
Period | 28/09/20 → 1/10/20 |
Internet address |