Characterizing congestion queue status on road links
AssigneeHERE Global B.V.
InventorJames Adeyemi FOWE
Life of this patent
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Abstract
A system for characterizing congestion queue status on road links is disclosed. The system obtains the first probe data associated with a first plurality of probe points from a first vehicle of a set of vehicles associated with a road segment. The system further generates a plurality of motion components for each of the first plurality of probe points based on the obtained first data. The system further applies a machine learning (ML) model on the generated plurality of motion components for the first plurality of probe points. The system further generates a set of clusters based on the application of the ML model on the generated plurality of motion components. The system further outputs the generated set of clusters.
Claims20
A system configured to:
- a memory configured to store a computer-executable instruction;
- and
- one or more processors coupled to the memory, wherein the one or more processors are configured to:
- obtain, from a first vehicle of a set of vehicles associated with a road segment, first probe data associated with a first plurality of probe points;
- generate a plurality of motion components for each of the first plurality of probe points based on the obtained first probe data;
- apply a machine learning (ML) model on the generated plurality of motion components for the first plurality of probe points;
- generate a set of clusters based on the application of the ML model on the generated plurality of motion components, wherein each probe point is assigned within one cluster of the set of clusters;
- and
- output the generated set of clusters.
A method comprising:
- obtaining, from a first vehicle of a set of vehicles associated with a road segment, first probe data associated with a first plurality of probe points;
- generating a plurality of motion components for each of the first plurality of probe points based on the obtained first probe data;
- applying a machine learning (ML) model on the generated plurality of motion components for the first plurality of probe points;
- generating a set of clusters based on the application of the ML model on the generated plurality of motion components, wherein each probe point is assigned within one cluster of the set of clusters;
- and
- outputting the generated set of clusters.
A computer programmable product comprising a non-transitory computer readable medium having stored thereon computer executable instructions, which when executed by one or more processors, cause the one or more processors to conduct operations comprising:
- obtaining, from a first vehicle of a set of vehicles associated with a road segment, first probe data associated with a first plurality of probe points;
- generating a plurality of motion components for each of the first plurality of probe points based on the obtained first probe data;
- applying a machine learning (ML) model on the generated plurality of motion components for the first plurality of probe points;
- generating a set of clusters based on the application of the ML model on the generated plurality of motion components, wherein each probe point is assigned within one cluster of the set of clusters;
- and
- outputting the generated set of clusters.
Dependencies are inferred from the claim text.