skip to main content
10.1145/3274783.3275202acmconferencesArticle/Chapter ViewAbstractPublication PagessensysConference Proceedingsconference-collections
short-paper

Vehicle Air Pollution Monitoring Using IoTs

Published: 04 November 2018 Publication History

Abstract

Air pollution is a major cause of health problem in urban areas. Vehicles are the major sources of the current air pollution in urban cities. In this work, we proposed a pollution monitoring system for vehicles using IoTs. This system measures the real-time pollution generated by vehicles on road. This paper describes the design of the system for sensing the pollution using sensor, arduino, smart phone and mobile applications for displaying the personalize air pollution information for individual vehicle. We evaluate the proposed approach on real-data experiment and it shows some preliminary results.

References

[1]
International Energy Agency. 2016. CO2 Emissions from Fuel Combustion 2016-Highlights. https://emis.vito.be/sites/emis.vito.be/files/articles/3331/2016/CO2EmissionsfromFuelCombustion_Highlights_2016.pdf
[2]
K. Hu, V. Sivaraman, B. Gallego Luxan, and Ashfaqur Rahman. 2016. Design and Evaluation of a Metropolitan Air Pollution Sensing System. IEEE Sensors Journal 16, 5 (March 2016), 1448--1459.
[3]
Y. Lai W. Lee and P. Chen. 2015. A Study on Energy Saving and CO2 Emission Reduction on Signal Countdown Extension by Vehicular Ad Hoc Networks. IEEE Transactions on Vehicular Technology 64, 3 (2015), 890--900.

Cited By

View all
  • (2024)MobiAir: Unleashing Sensor Mobility for City-scale and Fine-grained Air-Quality Monitoring with AirBERTProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661872(223-236)Online publication date: 3-Jun-2024
  • (2023)Automatic Vehicle Pollution Detection Using Feedback Based Iterative Deep LearningIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.323919024:5(4804-4814)Online publication date: May-2023
  • (2023)Drive-by Air Pollution Sensing Systems: Challenges and Future DirectionsIEEE Sensors Journal10.1109/JSEN.2023.330577923:19(23692-23703)Online publication date: 1-Oct-2023
  • Show More Cited By

Index Terms

  1. Vehicle Air Pollution Monitoring Using IoTs

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    SenSys '18: Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems
    November 2018
    449 pages
    ISBN:9781450359528
    DOI:10.1145/3274783
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 04 November 2018

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. IoTs
    2. Pollution
    3. Sensor
    4. Vehicle

    Qualifiers

    • Short-paper
    • Research
    • Refereed limited

    Conference

    Acceptance Rates

    Overall Acceptance Rate 198 of 990 submissions, 20%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)66
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 27 Jan 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)MobiAir: Unleashing Sensor Mobility for City-scale and Fine-grained Air-Quality Monitoring with AirBERTProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661872(223-236)Online publication date: 3-Jun-2024
    • (2023)Automatic Vehicle Pollution Detection Using Feedback Based Iterative Deep LearningIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.323919024:5(4804-4814)Online publication date: May-2023
    • (2023)Drive-by Air Pollution Sensing Systems: Challenges and Future DirectionsIEEE Sensors Journal10.1109/JSEN.2023.330577923:19(23692-23703)Online publication date: 1-Oct-2023
    • (2023)Air pollution detection and Monitoring with the smart sensor interface on the IoT platform2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS)10.1109/AICERA/ICIS59538.2023.10420141(1-7)Online publication date: 16-Nov-2023
    • (2023)Spatiotemporal distribution of pollutants and impact of local meteorology on source influence on pollutants’ level in a traffic air-shed in Lagos megacity, NigeriaEnvironmental Monitoring and Assessment10.1007/s10661-023-11757-x195:9Online publication date: 31-Aug-2023
    • (2023)E-Waste Is Becoming a Predominant Pollutant in Future India—An IoT Based Proposal to Monitor and Report the Air Quality IndexProceedings of Fourth International Conference on Communication, Computing and Electronics Systems10.1007/978-981-19-7753-4_10(111-123)Online publication date: 15-Mar-2023
    • (2022)The Human-Air Interface: Responding To Poor Air Quality Through Lived Experience and Digital InformationProceedings of the 2022 ACM Designing Interactive Systems Conference10.1145/3532106.3533563(1085-1098)Online publication date: 13-Jun-2022
    • (2022)Intelligent Sensor and IoT Based Vehicle Pollution Monitoring System with Alert2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)10.1109/ICPECTS56089.2022.10046769(1-4)Online publication date: 8-Dec-2022
    • (2022)Air Pollution Comparison RFM Model Using Machine Learning Approach2022 IEEE 7th International conference for Convergence in Technology (I2CT)10.1109/I2CT54291.2022.9824248(1-5)Online publication date: 7-Apr-2022
    • (2021)Energy-efficient Collaborative Sensing: Learning the Latent Correlations of Heterogeneous SensorsACM Transactions on Sensor Networks10.1145/344841617:3(1-28)Online publication date: 21-Jun-2021
    • Show More Cited By

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media