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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1731
DC FieldValueLanguage
dc.contributor.authorLe Truong Duongen_US
dc.date.accessioned2023-10-26T06:47:19Z-
dc.date.available2023-10-26T06:47:19Z-
dc.date.issued2022-
dc.identifier.urihttps://epub.vgu.edu.vn/handle/dlibvgu/1731-
dc.description.abstractAgainst the backdrop of high air pollution levels in metropolitan areas, which are frequently associated with high traffic demand and have negative impacts on human health and the environment, there is a need to adopt sustainable transport policies to minimize air pollution. This thesis focuses on modeling air pollutant concentration and addresses three study fields: transport modeling, air pollutant emission modeling, and atmospheric dispersion modeling. In each domain, specialized approaches and instruments are progressively being created to yield new and valuable insights. However, due to their complexity, these methodologies cannot typically be used to analyze the effect of various transport policies on air pollution. Even if less detailed approaches and tools are accessible and appropriate for decision-making processes, they do not convey all the information essential to comprehend the cause-and-effect relationship. This thesis addresses this gap by presenting a new approach, an integrated air pollution model, which replicates the entire cause-and-effect chain, from travel behavior and vehicle technology changes to the influence on air quality. The presented method connects agent-based transport modeling with traffic-situation-dependent vehicle-specific emission variables. Consequently, it is possible to add driving dynamics in terms of traffic circumstances and vehicle features when using HBEFA emission factors to compute air pollutant emissions. At the beginning of this thesis, an emission calculation tool is constructed and integrated into the MATSim modeling environment. It is possible to demonstrate that simulated link travel times correspond to observed journey times and that simulated emissions coincide with complex emission models utilizing measured driving cycles. In addition, this technique is projected on the real-world situation of the Berlin, Germany, metropolitan region, using MATSim for a large-scale simulation. As a foundation for tracing the cause-and-effect chain, the emission level is connected to the agent causing it as well as the location where the emission level was caused. By tracing emissions back to their source, i.e., the road segment, it is feasible to conduct a spatially disaggregated analysis of air pollutant emissions. The integrated air pollution modeling approach permits the evaluation of a variety of additional transport policies by providing aggregated impacts of changes in transport behavior and vehicle technology on traffic demand and emission level, as well as on air pollutant emissions and concentrations at a spatially disaggregated level. This study's outcome aims to include the agentbased transport model and environmental effects, as well as the applicability of this methodology to other cities.en_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectMATSimen_US
dc.subjectHBEFAen_US
dc.subjectIntegrated air pollution modelen_US
dc.subjectBerlinen_US
dc.titleAnalysis of air pollution in agent-based transport simulation: a case of Berlinen_US
dc.typeThesisen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
item.languageiso639-1other-
Appears in Collections:Computer Science (CS)
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