An IoT-based Eco-Parking System for Smart Cities

Ibrahim Tamam, Shen Wang, Soufiene Djahel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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 languageEnglish
Title of host publication2020 IEEE International Smart Cities Conference, ISC2 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728182940
ISBN (Print)9781728182957
DOIs
Publication statusPublished - 28 Sep 2020
Externally publishedYes
Event2020 IEEE International Smart Cities Conference: Smart Cities Solutions for New Challenges, Including a Pandemic - Online, United States
Duration: 28 Sep 20201 Oct 2020
https://attend.ieee.org/isc2-2020/tutorial-1/
https://attend.ieee.org/isc2-2020/

Publication series

NameIEEE International Smart Cities Conference, ISC2
PublisherIEEE
ISSN (Print)2687-8852
ISSN (Electronic)2687-8860

Conference

Conference2020 IEEE International Smart Cities Conference
Abbreviated titleISC2 2020
Country/TerritoryUnited States
CityOnline
Period28/09/201/10/20
Internet address

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