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Estimating Emissions from Static Traffic Models : Problems and Solutions
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- Tsanakas, Nikolaos (author)
- Linköpings universitet,Kommunikations- och transportsystem,Tekniska fakulteten
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- Ekström, Joakim (author)
- Linköpings universitet,Kommunikations- och transportsystem,Tekniska fakulteten
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- Olstam, Johan, 1979- (author)
- Linköpings universitet,Statens väg- och transportforskningsinstitut,Trafikanalys och logistik, TAL,Linköping University,Kommunikations- och transportsystem,Tekniska fakulteten,Swedish Natl Rd and Transport Res Inst, SE-58195 Linkoping, Sweden
- (creator_code:org_t)
- Hindawi Limited, 2020
- 2020
- English.
- In: Journal of Advanced Transportation. - : Hindawi Limited. - 0197-6729 .- 2042-3195. ; 2020
- Journal article (peer-reviewed)
Abstract
Subject headings
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- In large urban areas, the estimation of vehicular traffic emissions is commonly based on the outputs of transport planning models, such as Static Traffic Assignment (STA) models. However, such models, being used in a strategic context, imply some important simplifications regarding the variation of traffic conditions, and their outputs are heavily aggregated in time. In addition, dynamic traffic flow phenomena, such as queue spillback, cannot be captured, leading to inaccurate modelling of congestion. As congestion is strongly correlated with increased emission rates, using STA may lead to unreliable emission estimations. The first objective of this paper is to identify the errors that STA models introduce into an emission estimation. Then, considering the type and the nature of the errors, our aim is to suggest potential solutions. According to our findings, the main errors are related to STA inability of accurately modelling the level and the location of congestion. For this reason, we suggest and evaluate the postprocessing of STA outputs through quasidynamic network loading. Then, we evaluate our suggested approach using the HBEFA emission factors and a 19 km long motorway segment in Stockholm as a case study. Although, in terms of total emissions, the differences compared to the simple static case are not so vital, the postprocessor performs better regarding the spatial distribution of emissions. Considering the location-specific effects of traffic emissions, the latter may lead to substantial improvements in applications of emission modelling such as dispersion, air quality, and exposure modelling. © 2020 Nikolaos Tsanakas et al.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
Keyword
- Air quality
- Errors
- Urban planning
- Urban transportation
- Distribution of emissions
- Dynamic traffic flow
- Emission estimation
- Exposure modelling
- Problems and Solutions
- Static traffic assignments
- Traffic conditions
- Transport planning
- Traffic congestion
Publication and Content Type
- ref (subject category)
- art (subject category)
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