An IoT-based Eco-Parking System for Smart Cities

Ibrahim Tamam, Shen Wang, Soufiene Djahel

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

7 Citations (Scopus)


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)9781728182940, 9781728182957
Publication statusPublished - 29 Oct 2020
Externally publishedYes
Event 2020 IEEE International Smart Cities Conference (ISC2) - Piscataway, United States
Duration: 28 Sept 20201 Oct 2020

Publication series

Name2020 IEEE International Smart Cities Conference, ISC2 2020
ISSN (Electronic)2687-8860


Conference 2020 IEEE International Smart Cities Conference (ISC2)
Country/TerritoryUnited States


  • Eco-Parking
  • Internet of Things (IoT)
  • Parking
  • Smart Cities

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Transportation
  • Renewable Energy, Sustainability and the Environment
  • Urban Studies


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