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Air pollution represents one of the most complex problems of humanity. Traffic contributes significantly to this by emitting large amounts of harmful gases. This problem is particularly pronounced at urban intersections due to frequent changes in vehicle movement dynamics. This paper primarily presents the influence of intersection geometry on pollutant emissions levels. In addition, the influence of various traffic policies promoting greater use of public transport and zero-emission vehicles is also examined. The research combines the field part of recording existing intersections in Sarajevo, Bosnia and Herzegovina with traffic microsimulation. Detailed data on vehicles’ movements were obtained by advanced video processing using the DataFromSky tool, while the PTV Vissim 2022 and Bosch ESTM (2022) software were used to simulate traffic and estimate emissions at geometrically different intersections. The results showed that, in saturated traffic conditions, signalized intersections cause up to 50% lower emissions compared with two-lane and turbo roundabouts and that the impact of the geometric change is more significant than the impact of zero-emission vehicles. In unsaturated conditions, the differences in emissions at different intersections are negligible, with the highest reductions in pollution achieved by using zero-emission vehicles.

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The noise is meant by all unwanted sounds. As the years were passing by the noise has become more and more intense. European Union adopted Directive 2002/49/EC recognizing noise pollution problem. During the processes of planning and designing, and after the construction of new roads, it is of major importance to determine the level of traffic noise which is going to occur or which has already occurred. For that purposes mathematical models for prediction of noise emission and dispersion have been used. The aim of this paper is to represent the results of the research on the effects of pavement surface condition on road traffic noise. Research results were used to develop noise prediction models.