Mobile air pollution monitoring network

W. Hedgecock, P. Völgyesi, A. Ledeczi, X. Koutsoukos, A. Aldroubi, A. Szalay, A. Terzis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Current methods of estimating air quality involve assigning a single value called the Air Quality Index (AQI) to a large land area for a 24-hour period based on a very few, sparsely-located sensors. This produces a low-resolution image of the air quality in that region. We have devised a new mobile air quality monitoring network with the ability to provide high-resolution realtime pollution data at any location within the coverage area. We have prototyped sensors and proven the feasibility of the approach, and are currently testing a small-scale implementation using irregularly-sampled spatiotemporal measurements from mobile car-mounted sensors coupled with existing static data. This data feeds a web-based application, enabling users to view air quality in specific regions as well as estimate exposure over specified time periods and plan routes based on minimal exposure to a given pollutant.

Original languageEnglish (US)
Title of host publicationAPPLIED COMPUTING 2010 - The 25th Annual ACM Symposium on Applied Computing
Pages795-796
Number of pages2
DOIs
StatePublished - 2010
Event25th Annual ACM Symposium on Applied Computing, SAC 2010 - Sierre, Switzerland
Duration: Mar 22 2010Mar 26 2010

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Conference

Conference25th Annual ACM Symposium on Applied Computing, SAC 2010
Country/TerritorySwitzerland
CitySierre
Period3/22/103/26/10

Keywords

  • mobile sensing
  • modeling
  • pollution
  • wireless sensor network

ASJC Scopus subject areas

  • Software

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