Urban Sci., Volume 8, Issue 2 (June 2024) – 50 articles
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When analysing vehicle fleet data, classification of driving style and driving domain is essential to add context to the measured signals. Highway classification can be implemented by matching the driven trajectory to highway roads in a digital map. This paper presents a method for the remaining classification task, i.e., to distinguish urban from extra urban areas. First, potential urban areas are identified based on urban land-use density, which is determined based on land-use categories from OpenStreetMap. Subsequently, two road network scaling models are used to divide the potential urban areas into urban and extra-urban domains. Finally, statistics of domain features are analysed for the classified urban and extra-urban areas. View this paper
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