An IoT-based Eco-Parking System for Smart Cities

Ibrahim Tamam; Shen Wang; Soufiene Djahel

doi:10.1109/ISC251055.2020.9239041

An IoT-based Eco-Parking System for Smart Cities

Ibrahim Tamam, Shen Wang, Soufiene Djahel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

21 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 language	English
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	https://doi.org/10.1109/ISC251055.2020.9239041
Publication status	Published - 28 Sept 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 Sept 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
Publisher	IEEE
ISSN (Print)	2687-8852
ISSN (Electronic)	2687-8860

Conference

Conference	2020 IEEE International Smart Cities Conference
Abbreviated title	ISC2 2020
Country/Territory	United States
City	Online
Period	28/09/20 → 1/10/20
Internet address	https://attend.ieee.org/isc2-2020/tutorial-1/ https://attend.ieee.org/isc2-2020/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 13 Climate Action

Access to Document

10.1109/ISC251055.2020.9239041Licence: Unspecified

Cite this

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title = "An IoT-based Eco-Parking System for Smart Cities",

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). ",

keywords = "Eco-Parking, Internet of Things (IoT), Parking, Smart Cities",

author = "Ibrahim Tamam and Shen Wang and Soufiene Djahel",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Smart Cities Conference : Smart Cities Solutions for New Challenges, Including a Pandemic, ISC2 2020 ; Conference date: 28-09-2020 Through 01-10-2020",

year = "2020",

month = sep,

day = "28",

doi = "10.1109/ISC251055.2020.9239041",

language = "English",

isbn = "9781728182957",

series = "IEEE International Smart Cities Conference, ISC2",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 IEEE International Smart Cities Conference, ISC2 2020",

address = "United States",

url = "https://attend.ieee.org/isc2-2020/tutorial-1/, https://attend.ieee.org/isc2-2020/",

}

Tamam, I, Wang, S & Djahel, S 2020, An IoT-based Eco-Parking System for Smart Cities. in 2020 IEEE International Smart Cities Conference, ISC2 2020., 9239041, IEEE International Smart Cities Conference, ISC2, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE International Smart Cities Conference, Online, United States, 28/09/20. https://doi.org/10.1109/ISC251055.2020.9239041

An IoT-based Eco-Parking System for Smart Cities. / Tamam, Ibrahim; Wang, Shen; Djahel, Soufiene.
2020 IEEE International Smart Cities Conference, ISC2 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9239041 (IEEE International Smart Cities Conference, ISC2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - An IoT-based Eco-Parking System for Smart Cities

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AU - Wang, Shen

AU - Djahel, Soufiene

PY - 2020/9/28

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N2 - 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).

AB - 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).

KW - Eco-Parking

KW - Internet of Things (IoT)

KW - Parking

KW - Smart Cities

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DO - 10.1109/ISC251055.2020.9239041

M3 - Conference contribution

AN - SCOPUS:85097202880

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T3 - IEEE International Smart Cities Conference, ISC2

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T2 - 2020 IEEE International Smart Cities Conference

Y2 - 28 September 2020 through 1 October 2020

ER -

An IoT-based Eco-Parking System for Smart Cities

Abstract

Publication series

Conference

UN SDGs

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