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Emission estimation based on cross-sectional traffic data
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. (Trafiksystem)ORCID iD: 0000-0003-2767-9415
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. (Trafiksystem)ORCID iD: 0000-0002-1367-6793
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. VTI. (Trafiksystem)ORCID iD: 0000-0002-0336-6943
2017 (English)In: Prceedings of TAP 2017 22nd International Transportation and Air Pollution Conference, EMPA , 2017, p. 1-15Conference paper, Published paper (Refereed)
Abstract [en]

The continuous traffic growth has led to highly congested cities, with negative environmental effects, both related to air quality and climate change. According to the European Environment Agency, transportation remains a significant contributor to the total emissions of the main air pollutants, (EEA, 2016). Specifically, Nitrogen Oxides (NOx), Carbon Oxide (CO) and fine particulate matter (PM2.5) make up 32%, 23% and 8% of the total emissions, respectively. This vigorous impact of vehicular emissions to the urban environmental air quality, raises concerns over the impact of traffic on human health. Therefore, the effective implementation of emission reducing policies, such as traffic control measures or congestion pricing, becomes crucial for many European cities in order to meet the air quality standards and mitigate the human exposure to pollution. To quantify the environmental effects of these measures and demonstrate their effectiveness, a reliable estimation of pollutants concentrations through emission and dispersion modelling is needed....

Place, publisher, year, edition, pages
EMPA , 2017. p. 1-15
National Category
Civil Engineering Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-147873OAI: oai:DiVA.org:liu-147873DiVA, id: diva2:1206599
Conference
22nd International Transportation and Air Pollution Conference, Zürich, Switzerland, 15-16 November 2017
Projects
Förbättrad prognos av energianvändning och emissioner vid styrmedelsanalys i vägtrafiken
Funder
Swedish Energy Agency, 38921-1Available from: 2018-05-17 Created: 2018-05-17 Last updated: 2019-05-10Bibliographically approved

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Emission estimation based on cross-sectional traffic data(1397 kB)3 downloads
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Tsanakas, NikolaosEkström, JoakimOlstam, Johan

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