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For our nitrogen dioxide samples, while there was a relatively small change in mean concentrations, there was significant heterogeneity across sites, which corresponded with our a priori classifications of road segments.
In addition, our primary integrated sampling conclusions were based on a priori classifications of road segments, but we did not have empirical traffic count data on auxiliary roads that could confirm these expectations (as traffic counts were only available for highways and the single road segment we monitored).
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This led to the final classification of road users.
Hence, a more reliable, automated, and quantitative approach for the classification of road network patterns is required.
In addition, it presents the design of a roadway lighting system with optimised LED luminaires, by adjusting pole spacing and mounting height, ensuring the best installation in each classification of road surface.
The paper is structured in a first theoretical part, in which the concepts underlying the classification of road profiles according to the ISO 8608 are synthetically included.
Open image in new window Fig. 2 Classification of road profiles according to ISO 8608 for a fit exponent w = 2.
The ISO 8608 norm, dealing with the classification of road surface profiles, is based on a comparison of the measured, single-sided PSD and eight categories labelled from A to H, defined by a range of artificial PSD.
Second, the classification of road-safety and environmental effects was broad, and only main effects were included.
The classification of roads is based on the assumption that main roads connect human settlements, implying higher and more regular human disturbance.
Also, the classification of roads, calculation methods (e.g. buffer size), and the accuracy and completeness of traffic and road data may vary between studies.
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