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Abstract

An approach is provided for generating speed profile data given a road attribute using machine learning. The approach involves, for instance, determining a location of a road attribute in a road network. The approach also involves determining an analysis distance before and after the location of the road attribute in the road network. The approach further involves retrieving probe data collected using one or more location sensors of one or more vehicles traversing the analysis distance before and after the location of the road network. The approach further involves processing the probe data using a machine learning model to determine one or more machine-learned speed profiles of one or more road segments of the road network within the analysis distance and providing the one or more machine-learned speed profiles as an output.

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First Claim