izvorni znanstveni rad
Traffic congestion and resulting pollution affect the quality of life in urban areas. To analyze the correlation between traffic and air pollution, appropriate data-sets containing both traffic and pollution data are needed. Especially since pollution in urban areas has many different sources. This article tackles the problem of creating such a data-set for sustainable urban mobility analysis from the aspect of transport and pollution. Real traffic and pollution data from three intersections in the City of Skopje were collected and statistically analyzed. Obtained first results present a solid foundation for future analysis using an enlarged data-set.
Intelligent Transportation Systems ; Sustainable Urban Mobility ; Air-Quality ; Data Science
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