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Real-time air quality monitoring through mobile sensing in metropolitan areas

Published: 11 August 2013 Publication History

Abstract

Traditionally, pollution measurements are performed using expensive equipment at fixed locations or dedicated mobile equipment laboratories. This is a coarse-grained and expensive approach where the pollution measurements are few and far in-between. In this paper, we present a vehicular-based mobile approach for measuring fine-grained air quality in real-time. We propose two cost effective data farming models -- one that can be deployed on public transportation and the second a personal sensing device. We present preliminary prototypes and discuss implementation challenges and early experiments.

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    cover image ACM Conferences
    UrbComp '13: Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
    August 2013
    135 pages
    ISBN:9781450323314
    DOI:10.1145/2505821
    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]

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    Publication History

    Published: 11 August 2013

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    Author Tags

    1. air quality
    2. mobile sensing
    3. participatory sensing
    4. pollution
    5. social networks
    6. urban sensing

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    • (2024)Real-world observations of reduced nitrogen and ultrafine particles in commercial cooking organic aerosol emissionsAtmospheric Chemistry and Physics10.5194/acp-24-1281-202424:2(1281-1298)Online publication date: 30-Jan-2024
    • (2024)Crowdsourcing Geospatial Data for Earth and Human Observations: A ReviewJournal of Remote Sensing10.34133/remotesensing.01054Online publication date: 22-Jan-2024
    • (2024)Advancements in Mobile-Based Air Pollution Detection: From Literature Review to Practical ImplementationJournal of Sensors10.1155/2024/48950682024(1-17)Online publication date: 28-Mar-2024
    • (2024)GraPhy: Graph-Based Physics-Guided Urban Air Quality Modeling for Monitoring-Constrained RegionsProceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3671127.3698169(33-43)Online publication date: 29-Oct-2024
    • (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
    • (2024)SecDR: Enabling Secure, Efficient, and Accurate Data Recovery for Mobile CrowdsensingIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2023.326226821:2(789-803)Online publication date: Mar-2024
    • (2024)Efficient Path Planning for UAVs to Recognize Chimneys With Excessive Exhaust EmissionsIEEE Internet of Things Journal10.1109/JIOT.2024.336313911:10(18580-18592)Online publication date: 15-May-2024
    • (2024)Online User Recruitment With Adaptive Budget Segmentation in Sparse Mobile CrowdsensingIEEE Internet of Things Journal10.1109/JIOT.2023.331881711:5(8526-8538)Online publication date: 1-Mar-2024
    • (2024)A review on indoor air quality monitoring system: a mechatronics approachAerobiologia10.1007/s10453-024-09835-940:3(373-390)Online publication date: 29-Aug-2024
    • (2024)Semantic Framework in Healthcare SystemsArtificial Intelligence‐Based System Models in Healthcare10.1002/9781394242528.ch5(107-129)Online publication date: 30-Sep-2024
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