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Emission estimation based on cross-sectional traffic data
Linköpings universitet.ORCID iD: 0000-0003-2767-9415
Linköpings universitet.ORCID iD: 0000-0002-1367-6793
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics. Linköpings universitet.ORCID iD: 0000-0002-0336-6943
2017 (English)In: Proceedings of the 22nd International Transportation and Air Pollution Conference, 2017, 2017, p. 15-Conference paper, Published paper (Refereed)
Abstract [en]

The paper outlines as follows: Section 2 consists a literature review on methods for emission estimations based on sensors measurements. Section 3 provides a description of the methodology of estimating emissions from cross-sectional data by either using AADT estimation techniques or more sophisticated traffic estimators. Section 4 presents the case study that is a part of the E4 motorway in Stockholm, and provides details about the data collection. The results are presented in Section 5 and finally Section 6 concludes the study and discusses future work.

Place, publisher, year, edition, pages
2017. p. 15-
Keywords [en]
Emission, Calculation, Estimation, Traffic, Detector, Measurement, Traffic flow, Traffic density
National Category
Civil Engineering Transport Systems and Logistics
Research subject
10 Road: Transport, society, policy and planning, 15 Road: Environment
Identifiers
URN: urn:nbn:se:vti:diva-13102OAI: oai:DiVA.org:vti-13102DiVA, id: diva2:1212399
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: 2018-06-01 Created: 2018-06-01 Last updated: 2018-06-12Bibliographically approved

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Tsanakas, NikolaosEkström, JoakimOlstam, Johan

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf