Abstract: An apparatus receives a plurality of instances of map update data during a time window. Each instance is associated with a respective geographic region of a plurality of defined geographic regions. The apparatus determines, for the time window, region rankings for the plurality of defined geographic regions. A region ranking is determined based on a volume measure, a measure of map update activity, a measure of inaccurate activity, a general priority weight, and/or an interest density corresponding to the respective geographic region. The apparatus determines, for the time window, respective ranking ranges for a plurality of data buckets and assigns respective instance rankings to the instances of map update data. The instances are assigned to data buckets based on the instance rankings and ranking ranges. The apparatus ingests the instances based on the respective data buckets to cause a digital map maintained by the apparatus to be updated.

Abstract: An approach is provided for automated map object conflict resolution by time-collapsing and normalizing map events received within a time frame. The approach, for example, involves collecting a plurality of map events associated with a bounded geographic area within a designated number of time units from a point of time. The approach also involves initiating a time collapse of the plurality of map events to the point of time by setting timestamp data associated with the plurality of map events to the point of time. The approach further involves extracting one or more map features from the time-collapsed plurality of map events. The approach further involves providing the one or more map features as an output.