Managing anomalies and anomaly-affected entities
OwnerSeyhan Ucar, Shalini Keshavamurthy +1inventors
InventorsSeyhan Ucar, Shalini Keshavamurthy, Kentaro Oguchi
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Abstract
The disclosure includes embodiments for managing an anomaly and anomaly-affected entities. In some embodiments, a method includes receiving anomaly data describing an occurrence of the anomaly in a roadway environment. The method includes determining an influence region of the anomaly in the roadway environment. The method includes determining a set of anomaly severity indices associated with a set of sub-regions within the influence region. The method includes managing a group of anomaly-affected entities within the influence region based on the set of anomaly severity indices.
Claims20
A computer program product comprising a non-transitory memory of a computer system storing computer-executable code that, when executed by a processor, causes the processor to:
- receive anomaly data describing an occurrence of an anomaly in a roadway environment;
- determine an influence region of the anomaly in the roadway environment;
- determine a set of anomaly severity indices associated with a set of sub-regions within the influence region;
- generate a similarity score for each anomaly-affected entity in a group of anomaly-affected entities that is within the influence region of the anomaly;
- determine which sub-region of the set of sub-regions each of the anomaly-affected entities belongs to based on the similarity score;
- and
- generate a set of route management instructions to manage the group of anomaly-affected entities within the influence region based on the set of anomaly severity indices, wherein the set of route management instructions are personalized for the anomaly-affected entities in each sub-region and the set of route management instructions improve safety for the group of anomaly-affected entities.
A method comprising:
- receiving anomaly data describing an occurrence of an anomaly in a roadway environment;
- determining an influence region of the anomaly in the roadway environment;
- determining a set of anomaly severity indices associated with a set of sub-regions within the influence region;
- generating a similarity score for each anomaly-affected entity in a group of anomaly-affected entities that is within the influence region of the anomaly;
- determining which sub-region of the set of sub-regions each of the anomaly-affected entities belongs to based on the similarity score;
- and
- generating a set of route management instructions to manage the group of anomaly-affected entities within the influence region based on the set of anomaly severity indices, wherein the set of route management instructions are personalized for the anomaly-affected entities in each sub-region and the set of route management instructions improve safety for the group of anomaly-affected entities.
A system comprising:
- a computer system including a non-transitory memory storing computer code which, when executed by the computer system, causes the computer system to:
- receive anomaly data describing an occurrence of an anomaly in a roadway environment;
- determine an influence region of the anomaly in the roadway environment;
- determine a set of anomaly severity indices associated with a set of sub-regions within the influence region;
- generate a similarity score for each anomaly-affected entity in a group of anomaly-affected entities that is within the influence region of the anomaly;
- determine which sub-region of the set of sub-regions each of the anomaly-affected entities belongs to based on the similarity score;
- and
- generate a set of route management instructions to manage the group of anomaly-affected entities within the influence region based on the set of anomaly severity indices, wherein the set of route management instructions are personalized for the anomaly-affected entities in each sub-region and the set of route management instructions.
Dependencies are inferred from the claim text.