Collision prediction system
First Claim
1. A method comprising:
- collecting, by a processor, information identifying one or more conditions associated with a vehicle, wherein the information includes first data associated with the vehicle, second data associated with a driver of the vehicle, and third data associated with an environment associated with the vehicle;
determining, by the processor and based on the collected information, a likelihood of a collision involving the vehicle, wherein determining the likelihood of the collision includes;
identifying one or more events associated with other collisions or near-collisions,identifying a plurality of conditions associated with the one or more events,generating, based on the identified conditions, a binary classification tree (BCT) including nodes associated with the identified conditions and decisions associated with each of the nodes, anddetermining the likelihood of the collision based on a conclusion that is reached using the BCT;
determining, by the processor and based on the collected information, a likelihood of avoiding the collision;
determining, by the processor and based on the collected information, a risk associated with the collision;
selecting, by the processor, an action to perform based on at least one of the likelihood of the collision, the likelihood of avoiding the collision, and the risk associated with the collision; and
causing, by the processor, the action to be performed.
1 Assignment
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Accused Products
Abstract
Information identifying one or more conditions associated with a vehicle is collected. This information may include first data associated with the vehicle, second data associated with a driver of the vehicle, and third data associated with an environment around the vehicle. The information may be collected from a vehicle sensor, a telematics unit, a user device associated with the driver or a passenger, or a remote server. A likelihood of a collision involving the vehicle, a likelihood of avoiding the collision, and a risk associated with the collision may be determined based on the collected data. An appropriate response may be selected based on the likelihood of the collision, the likelihood of avoiding the collision, and the risk associated with the collision.
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Citations
20 Claims
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1. A method comprising:
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collecting, by a processor, information identifying one or more conditions associated with a vehicle, wherein the information includes first data associated with the vehicle, second data associated with a driver of the vehicle, and third data associated with an environment associated with the vehicle; determining, by the processor and based on the collected information, a likelihood of a collision involving the vehicle, wherein determining the likelihood of the collision includes; identifying one or more events associated with other collisions or near-collisions, identifying a plurality of conditions associated with the one or more events, generating, based on the identified conditions, a binary classification tree (BCT) including nodes associated with the identified conditions and decisions associated with each of the nodes, and determining the likelihood of the collision based on a conclusion that is reached using the BCT; determining, by the processor and based on the collected information, a likelihood of avoiding the collision; determining, by the processor and based on the collected information, a risk associated with the collision; selecting, by the processor, an action to perform based on at least one of the likelihood of the collision, the likelihood of avoiding the collision, and the risk associated with the collision; and causing, by the processor, the action to be performed. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A device comprising:
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a memory configured to store instructions; and a processor configured to execute one or more of the instructions to collect information identifying one or more conditions associated with a vehicle, wherein the information includes first data associated with the vehicle, second data associated with a driver of the vehicle, and third data associated with an environment associated with the vehicle; determine, based on the collected information, a likelihood of a collision involving the vehicle, wherein when determining the likelihood of the collision the processor is configured to execute the one or more of the instructions to; identify one or more events associated with other collisions or near-collisions, identify a plurality of conditions associated with the one or more events, generate, based on the identified conditions, a binary classification tree (BCT) including nodes associated with the identified conditions and decisions associated with each of the nodes, and determine the likelihood of the collision based on a conclusion that is reached using the BCT; determine, based on the collected information, a likelihood of avoiding the collision; determine, based on the collected information, a risk associated with the collision; select an action to perform based on at least one of the likelihood of the collision, the likelihood of avoiding the collision, and the risk associated with the collision. - View Dependent Claims (10, 11, 12, 13)
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14. A non-transitory computer readable medium to store instruction, the instructions comprising:
one or more instructions that, when executed by a processor, cause the processor to; collect information identifying one or more conditions associated with a vehicle, wherein the information includes first data associated with the vehicle, second data associated with a driver of the vehicle, and third data associated with an environment associated with the vehicle; determine, based on the collected information, a likelihood of a collision involving the vehicle, wherein when determining the likelihood of the collision the processor is configured to; identify one or more events associated with other collisions or near-collisions, identify a plurality of conditions associated with the one or more events, generate, based on the identified conditions, a binary classification tree (BCT) including nodes associated with the identified conditions and decisions associated with each of the nodes, and determine the likelihood of the collision based on a conclusion that is reached using the BCT; determine, based on the collected information, a likelihood of avoiding the collision; determine, based on the collected information, a risk associated with the collision; select an action to perform based on at least one of the likelihood of the collision, the likelihood of avoiding the collision, and the risk associated with the collision. - View Dependent Claims (15, 16, 17, 18, 19, 20)
Specification