Abstract: A plurality of instances of probe data are received. Each instance is received from a probe apparatus of a plurality of probe apparatuses each comprising a plurality of sensors and being onboard a vehicle. An instance comprises location information indicating a location of the corresponding probe apparatus. For each of one or more instances, a distance parameter is determined based on the location information and a road segment corresponding to the location. A set of distance parameters is defined based on the distance parameter determined for each of the one or more instances. The set of distance parameters is analyzed to identify clusters of probe data. The number of clusters identified is determined and compared to a historical number of clusters. If the number of clusters identified is less than the historical number of clusters, it is determined that there is a lane closure corresponding to the road segment.

Abstract: A plurality of instances of pre-intersection and post-intersection probe data are received. Each instance of pre-intersection probe data corresponds to traveling along a pre-intersection road segment before traveling through an intersection. Each instance of post-intersection probe data corresponds to traveling along a post-intersection road segment following traveling through the intersection. Instances of pre-intersection probe data are clustered into pre-intersection clusters based on a post-intersection road segment identified by the corresponding instance of post-intersection probe data. Instances of post-intersection probe data are clustered into post-intersection clusters based on the post-intersection road segment identified thereby. A traffic level indicator is determined for each cluster. A traffic level indicator difference is determined for each pair of corresponding pre-intersection and post-intersection clusters.

Abstract: An approach is provided for determining one or more modal routes between one or more origin areas and one or more destination areas based on trajectory data. The approach involves querying, by a processor, a trajectory database to retrieve one or more trajectories that contain one or more probe points located within the one or more origin areas and the one or more destination areas. The approach also involves clustering, by the processor, the one or more trajectories into one or more trajectory clusters based on a distance. The approach further involves determining, by the processor, respective counts of the one or more trajectories within each of the one or more trajectory clusters. The approach further involves presenting, by the processor, at least one of the one or more trajectory clusters as the one or more modal routes based on the respective counts.