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A Framework for Linking Urban Traffic and Vehicle Emissions in Smart Cities
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
DescriptionOur poster outlines a methodology to perform an analysis of traffic flows and the resultant vehicle exhaust emissions. We design and implement an analysis and visualization framework that includes metrics and algorithms for adjusting, transforming, relating and visualizing data, as well as statistical methods for quantifying correlations. Our ﬁndings from applying this framework to the Chicago Loop reveal the relationships between traﬃc congestion, building distributions, and vehicle emissions. These insights can provide communities with decision-making tools for urban design and smart cities.