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Atmosphere
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Traffic Related Emission (3rd Edition)
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Traffic Related Emission (3rd Edition)

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Pollution Control".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 1233

Special Issue Editor

Dr. Xin Wang

E-Mail Website
Guest Editor
School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Interests: exhaust and brake emission measurement and control; particularly particles; non regulated pollutants; combustion and emission characteristics of alternative fuels
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will represent a follow-up to the Special Issues entitled “Traffic-Related Emissions” (https://www.mdpi.com/journal/atmosphere/special_issues/Traffic_Related_Emission) and “Traffic-Related Emissions (2nd Edition)” (https://www.mdpi.com/journal/atmosphere/special_issues/EHMD25U223) published in Atmosphere and will cover all aspects of traffic-related emissions.

Globally, traffic-related emissions constitute a key source of local air pollution issues. The increasing use of applications employing cleaner fuels (including low-/zero-carbon and carbon-neutral fuels) and emission control devices has largely alleviated the problem of traffic-related emissions. However, new challenges are emerging, such as hybridization, new toxic pollutants (ammonia, aldehydes, smaller exhaust particles, and intermediate- and semi-VOCs), concerns over secondary contamination via atmospheric reactions, and life-cycle emission reduction capabilities. All these issues highlight the necessity of continued research into vehicle emissions, legislation, and policy assessment in this 'electrified' era.

The non-road sector is another source of air pollution, but it has been underestimated or unintentionally overlooked. Along with the importance of reducing on-road engine emissions, the impacts of non-road mobile machinery (NRMM) are attracting increasing attention. Additionally, recent changes in marine emissions, including alternative fuels and emission control devices, could significantly impact global and coastal inventories.

In addition to engine emissions, non-exhaust emissions, primarily brake and tire particles from motor vehicles and rails, have been included or considered in forthcoming regulations in Europe and China. The priority given to controlling these emissions may grow with an increase in gross vehicle weight and urban traffic congestion.

The scope of the third edition of this Special Issue will be consistent with the previous two, including a range of studies on traffic-related emissions from motor vehicles, NRMM, and non-exhaust sources (brake and tire wear particles, as well as evaporative VOCs). In addition, we welcome new insights into the impacts of future vehicle technologies, including, but not limited to, electrification, hybridization, and e-fuels, on local air quality improvement and carbon footprint reduction. We invite submissions of original research supported by experimental data, reporting on cutting-edge technologies in emission control and fuels, carbon footprint life-cycle assessments, and forthcoming emission regulations.

Dr. Xin Wang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • traffic-related emissions
  • alternative fuel
  • internal combustion engine
  • motor vehicle
  • non-road mobile machinery (NRMM)
  • non-exhaust particles
  • life-cycle assessment

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Published Papers (2 papers)

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Research

26 pages, 15535 KiB  
Article
Analytical Approach to Enhancing Efficiency of Silt Loading Collection in EPA Vacuum Sweep Method Using K-Means Clustering
by Ho-jun Yoo and In-tai Kim
Atmosphere 2025, 16(5), 530; https://doi.org/10.3390/atmos16050530 (registering DOI) - 30 Apr 2025
Abstract
This study explores the application of K-means clustering to optimize the selection of sampling locations for suspended silt loading (sL) on asphalt pavements, addressing the limitations of traditional random sampling methods in the EPA method. The objective was to identify reliable sampling points [...] Read more.
This study explores the application of K-means clustering to optimize the selection of sampling locations for suspended silt loading (sL) on asphalt pavements, addressing the limitations of traditional random sampling methods in the EPA method. The objective was to identify reliable sampling points for road dust concentration measurement, with a focus on improving the accuracy of data collection using the vacuum sweep method. The elbow method was used to determine the optimal number of clusters, revealing that three clusters were ideal for 25 m intervals and five for 100 m intervals. The clustering analysis identified specific sampling locations within the 25 m and 100 m road sections, such as 1.5–4.5 m and 12–18 m, and 15–18 m, 39–42 m, 57 m, 69 m, and 87 m, respectively, which adequately captured sL characteristics. The silhouette score of 0.6247 confirmed the effectiveness of the clustering method in distinguishing distinct groups with similar sL characteristics. The comparison of clustered versus non-clustered sections across 15 pavement segments showed an error rate of approximately 6%. Properly selecting sampling points ensures more accurate dust concentration data, which is crucial for effective road maintenance and environmental management. The findings highlight that optimizing the sampling process can significantly enhance the precision of dust monitoring, especially in areas with varying sL characteristics. Full article
(This article belongs to the Special Issue Traffic Related Emission (3rd Edition))
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20 pages, 1717 KiB  
Article
Short-Term Associations of Traffic-Related Air Pollution with Cardiorespiratory Outcomes Among Low-Income Residents from a US–Mexico Border Community
by Juan Aguilera, Soyoung Jeon, Mayra Chavez, Gabriel Ibarra-Mejia, Joao Ferreira-Pinto, Leah D. Whigham and Wen-Whai Li
Atmosphere 2025, 16(2), 153; https://doi.org/10.3390/atmos16020153 - 31 Jan 2025
Viewed by 821
Abstract
Exposure to traffic-related air pollution is not merely linked to respiratory health issues but also poses significant risks to cardiovascular well-being. Individuals from lower-income communities residing in high-pollution zones are particularly vulnerable to adverse cardiorespiratory health impacts. Pollutants such as fine particulate matter [...] Read more.
Exposure to traffic-related air pollution is not merely linked to respiratory health issues but also poses significant risks to cardiovascular well-being. Individuals from lower-income communities residing in high-pollution zones are particularly vulnerable to adverse cardiorespiratory health impacts. Pollutants such as fine particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), and ozone (O3) are recognized as a leading, yet preventable, contributor to cardiorespiratory diseases. Although research has extensively explored the short-term impact of these pollutants on respiratory health, the immediate effects on cardiovascular outcomes require further study. We explored associations of traffic-related air pollutants with airway inflammation, lung function, and cardiovascular health outcomes (metabolic syndrome [MetS]) collected from a sample of low-income participants (N = 662) from a US–Mexico border county. Airway inflammation was measured using exhaled nitric oxide tests (eNO), while lung function parameters were measured by spirometry. MetS risk factors (waist circumference, blood pressure, triglycerides, HDL, and fasting blood glucose) were also measured. While spirometry measures were negatively associated with air pollutants (p < 0.05), no associations were noted for eNO. We also found positive associations in linear and logistic models between air pollutants and obesity (BMI: p < 0.04; waist: p < 0.03), fasting blood glucose (p < 0.03), and metabolic syndrome (p < 0.04). These findings reaffirm the immediate adverse effects of air pollution on respiratory function and shed light on its broader metabolic consequences. Environmental and neighborhood conditions could potentially influence the associations with obesity. At the same time, the links between fasting glucose and metabolic syndrome might indicate underlying oxidative stress and systemic inflammation. Full article
(This article belongs to the Special Issue Traffic Related Emission (3rd Edition))
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