On-Road Real-Time Hyper-Local Air Quality Monitoring Based on Mobile IoT Enabled by a Network of Vehicles Equipped with Air Quality Sensors

Author:

Jung Heejung,Borrel Herve,Taddonio Paolo

Abstract

<div class="section abstract"><div class="htmlview paragraph">People are exposed to disproportionately high concentrations of air pollutants daily on and near the road during their ride, walk, and residency. Currently air quality monitoring is performed mostly at background locations far away from the road and distinctive point, line, and area emission sources, failing to report concentrations on the road. This study presents an innovative air quality monitoring method using a network of vehicles equipped with air quality sensors (AQSs). Vehicles are connected to internet through either cell link or apps used by drivers. A cloud server collects the data and updates air quality concentration maps every 10 minutes. The study presents very high temporal and spatial resolution maps at a fraction of the cost of previous studies. These high spatiotemporal resolution air quality maps can be used to reduce public exposure in many ways including but not limited to cabin air flap door control, eco-driving route for navigation, and daily exposure monitoring. The method has a potential to be deployed worldwide.</div></div>

Publisher

SAE International

Reference15 articles.

1. Li , C. et al. 2022

2. CE-CERT 2020 https://www.cert.ucr.edu/osar-consortium#data_analysis_modeling

3. Zhu , Y. et al. In-Cabin Commuter Exposure to Ultrafine Particles on Los Angeles Freeways Environmental Science & Technology 41 7 2007 2138 2145

4. Swanson , J. et al. Reducing Daily Exposure to Mobile Source Air Toxics by Improving Vehicle Cabin Air Quality SAE International Journal of Commercial Vehicles 15 2022

5. Fierz , M. , Müller , M. , and Hasenfratz , D. Mobile vs. Static Sensor Networks for Urban Air Quality Assessment ETH Combustion Generated Nanoparticle Conference Zurich, Switzerland 2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3