Sensitivity analysis methods for road traffic emission models
2004 (English)Licentiate thesis, comprehensive summary (Other academic)
Many systems, and some of their properties, are studied in simulation models. The models may be very complex and difficult to understand if the systems they are meant to simulate are complex in themselves. Even small, simple and well-described models can have properties that cannot easily be seen in the model formulations. Sensitivity and uncertainty in the model results are examples of such properties.
One important field where simulation models are used is road traffic, for emissions or other traffic-related topics. To <late, little has been written about sensitivity and uncertainty in road traffic emission models. More must be known about the construction of such models before sensitivity methods can be proposed.
This thesis describes one model for road traffic emissions, both for construction and for ability to be an emission data generating tool for the analyses that follow. Some suitable sensitivity methods are studied; they are based on different approaches such as sensitivity on the margins and measure over all situations by using response surface methods. All of the methods in the study are also applied to the described emission model.
Different approaches are compared on theoretical grounds in several ways, and the sensitivity results allow many other comparisons.
Place, publisher, year, edition, pages
Linköping: Linköpings universitet , 2004. , 10 plus 3 papers p.
Linköping Studies in Statistics, ISSN 1651-1700 ; 4
IdentifiersURN: urn:nbn:se:liu:diva-22691Local ID: 1986ISBN: 91-7373-890-5OAI: oai:DiVA.org:liu-22691DiVA: diva2:243004
2004-01-22, Glashuset, hus B, ingång 25, Campus Valla, Linköpings universitet, Linköping, 10:00 (English)