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Integrated Traffic and Emission Simulation: a Model Calibration Approach Using Aggregate Information
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Traffic Research, CTR.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
2014 (English)In: Environmental Modelling and Assessment, ISSN 1420-2026, E-ISSN 1573-2967, Vol. 19, no 4, 271-282 p.Article in journal (Refereed) Published
Abstract [en]

Environmental impacts of road traffic have attracted increasing attention in project-level traffic planning and management. The conventional approach considers emission impact analysis as a separate process in addition to traffic modeling. This paper first introduces our research effort to integrate traffic, emission, and dispersion processes into a common distributed computational framework, which makes it efficient to quantify and analyze correlations among dynamic traffic conditions, emission impacts, and air quality consequences. A model calibration approach is particularly proposed when on-road or in-lab instantaneous emission measurements are not directly available. Microscopic traffic simulation is applied to generate dynamic vehicle states at the second-by-second level. Using aggregate emission estimation as standard reference, a numerical optimization scheme on the basis of a stochastic gradient approximation algorithm is applied to find optimal parameters for the dynamic emission model. The calibrated model has been validated on several road networks with traffic states generated by the same simulation model. The results show that with proper formulation of the optimization objective function, the estimated dynamic emission model can capture the trends of aggregate emission patterns of traffic fleets and predict local emission and air quality at higher temporal and spatial resolutions.

Place, publisher, year, edition, pages
2014. Vol. 19, no 4, 271-282 p.
Keyword [en]
Vehicle emission, Traffic pollution, Integrated modeling, Emission models, Model calibration, SPSA, Traffic simulation
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-115920DOI: 10.1007/s10666-013-9397-8ISI: 000338517600002Scopus ID: 2-s2.0-84903648986OAI: oai:DiVA.org:kth-115920DiVA: diva2:588501
Funder
Swedish Energy Agency
Note

QC 20140805

Available from: 2013-01-15 Created: 2013-01-15 Last updated: 2017-12-06Bibliographically approved

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Ma, XiaoliangHuang, ZhenKoutsopoulos, Haris
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