research-article

Toward On-Demand Urban Air Quality Monitoring using Public Vehicles

Authors:

Yoshinari Shirai,

Yutaka YanagisawaAuthors Info & Claims

SmartCities '16: Proceedings of the 2nd International Workshop on Smart

Article No.: 1, Pages 1 - 6

https://doi.org/10.1145/3009912.3009920

Published: 12 December 2016 Publication History

Abstract

For protecting the public health, many research groups have tried to capture dense air quality information using sensorized vehicles that travel within urban areas. However, it remains difficult to accumulate real-time and fine-grained air quality information to fulfill a wide variety of requests from citizens and authorities. In this paper, we propose on-demand urban air quality monitoring using public vehicles. By adapting the monitoring behavior of sensors to each city's individual's needs, smart cities can accumulate enough air quality information with just a few sensorized vehicles. This paper describes the mechanisms of remote update programs on sensor nodes mounted on public vehicles for on-demand monitoring. We adopted the mechanisms on sensorized public vehicles in Fujisawa City, Japan. The paper also reports our air quality monitoring field trial and describes a functional design for on-demand air quality monitoring.

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Cited By

Elbestar MAly SGhannam R(2024)Advances in Air Quality Monitoring: A Comprehensive Review of Algorithms for Imaging and Sensing TechnologiesAdvanced Sensor Research10.1002/adsr.202300207Online publication date: 18-Sep-2024
https://doi.org/10.1002/adsr.202300207
Hu WWinter SKhoshelham K(2023)Forecasting fine-grained sensing coverage in opportunistic vehicular sensingComputers, Environment and Urban Systems10.1016/j.compenvurbsys.2023.101939100(101939)Online publication date: Mar-2023
https://doi.org/10.1016/j.compenvurbsys.2023.101939
Chiesa SDi Pietro APollino MTaraglio S(2022)Urban Air Pollutant Monitoring through a Low-Cost Mobile Device Connected to a Smart RoadISPRS International Journal of Geo-Information10.3390/ijgi1102013211:2(132)Online publication date: 14-Feb-2022
https://doi.org/10.3390/ijgi11020132
Show More Cited By

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Published In

cover image ACM Conferences

SmartCities '16: Proceedings of the 2nd International Workshop on Smart

December 2016

55 pages

ISBN:9781450346672

DOI:10.1145/3009912

Copyright © 2016 ACM.

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 the author(s) 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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Published: 12 December 2016

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Middleware '16

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Middleware '16: 17th International Middleware Conference

December 12 - 16, 2016

Trento, Italy

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Cited By

Elbestar MAly SGhannam R(2024)Advances in Air Quality Monitoring: A Comprehensive Review of Algorithms for Imaging and Sensing TechnologiesAdvanced Sensor Research10.1002/adsr.202300207Online publication date: 18-Sep-2024
https://doi.org/10.1002/adsr.202300207
Hu WWinter SKhoshelham K(2023)Forecasting fine-grained sensing coverage in opportunistic vehicular sensingComputers, Environment and Urban Systems10.1016/j.compenvurbsys.2023.101939100(101939)Online publication date: Mar-2023
https://doi.org/10.1016/j.compenvurbsys.2023.101939
Chiesa SDi Pietro APollino MTaraglio S(2022)Urban Air Pollutant Monitoring through a Low-Cost Mobile Device Connected to a Smart RoadISPRS International Journal of Geo-Information10.3390/ijgi1102013211:2(132)Online publication date: 14-Feb-2022
https://doi.org/10.3390/ijgi11020132
Krupp B(2022)Fine-Grained Air Quality Monitoring with Low-Cost Sensors and IoT: Trends, Challenges, and Future Directions2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)10.23919/SpliTech55088.2022.9854310(1-6)Online publication date: 5-Jul-2022
https://doi.org/10.23919/SpliTech55088.2022.9854310
Buhnova BKazickova TGe MWalletzky LCaputo FCarrubbo L(2021)A Cross-Domain Landscape of ICT Services in Smart CitiesArtificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities10.1007/978-3-030-84459-2_5(63-95)Online publication date: 11-Aug-2021
https://doi.org/10.1007/978-3-030-84459-2_5
Liu SCranshaw JRoseway AWakkary RAndersen KOdom WDesjardins APetersen M(2020)Making Air Quality Data MeaningfulProceedings of the 2020 ACM Designing Interactive Systems Conference10.1145/3357236.3395517(1313-1326)Online publication date: 3-Jul-2020
https://dl.acm.org/doi/10.1145/3357236.3395517
Yang QLiu JGuo HZeng XHu W(2019)A Novel Design of Information Collection System for Vehicles for Real-time Monitoring2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA)10.1109/ICIEA.2019.8834224(246-249)Online publication date: Jun-2019
https://doi.org/10.1109/ICIEA.2019.8834224
Chen YSakamura MNakazawa JYonezawa TTsuge AHamada Y(2018)OmimamoriNet: An Outdoor Positioning System Based on Wi-SUN FAN Network2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU.2018.8653618(1-6)Online publication date: Oct-2018
https://doi.org/10.23919/ICMU.2018.8653618
Xie XSemanjski IGautama STsiligianni EDeligiannis NRajan RPasveer FPhilips W(2017)A Review of Urban Air Pollution Monitoring and Exposure Assessment MethodsISPRS International Journal of Geo-Information10.3390/ijgi61203896:12(389)Online publication date: 1-Dec-2017
https://doi.org/10.3390/ijgi6120389
Chen YYonezawa TNakazawa JTokuda H(2017)Evaluating the spatio-temporal coverage of automotive sensing for smart cities2017 Tenth International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU.2017.8330071(1-5)Online publication date: Oct-2017
https://doi.org/10.23919/ICMU.2017.8330071

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