Determining policy characteristics based on route similarity
First Claim
1. A computer-implemented method performed by at least one processor, the method comprising:
- based on data collected by one or more sensors during trips by one or more vehicles, determining, by the at least one processor, changes in movement of the one or more vehicles during the trips;
selecting at least one pair of trips that includes a first trip driven by a first vehicle and a second trip driven by a second vehicle;
determining a first sequence of movements by the first vehicle during the first trip based on changes in orientation, speed, and acceleration of the first vehicle during the first trip;
determining a second sequence of movements by the second vehicle during the second trip based on changes in orientation, speed, and acceleration of the second vehicle during the second trip;
comparing the first sequence of the changes in movement during the first trip in the selected pair and the second sequence of the changes in movement during the second trip in the selected pair;
determining, by the at least one processor and based on the comparing, a similarity metric for the at least one pair of the trips, the similarity metric indicating a measure of similarity between the first sequence of the changes in movement during the first trip and the second sequence of the changes in movement during the second trip;
based at least partly on the similarity metric, determining, by the at least one processor, at least one characteristic of at least one policy associated with the second vehicle, wherein the at least one characteristic of the policy includes one or more of;
a deductible amount, a premium amount, or a price;
providing, by the at least one processor, the at least one characteristic of the at least one policy for presentation in a user interface on a computing device;
accessing, by the at least one processor, risk data describing a risk of the first trip;
determining, by the at least one processor, a risk of the second trip based on the risk of the first trip and the similarity metric for the first trip and the second trip; and
based at least partly on the similarity metric for the first trip and the second trip, determining, by the at least one processor, the at least one characteristic of the at least one policy associated with the second trip based at least partly on the risk of the second trip.
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Abstract
Techniques are described for adjusting policy characteristics based on a determined similarity between routes. A similarity metric may be determined indicating the similarity between a first route followed by a vehicle and/or driver and a second (e.g., previous) route followed by the vehicle and/or driver. A similarity metric may indicate the similarity in movements, and changes in movement, exhibited by the vehicle on the routes. The similarity metric may be determined through analysis of real time data collected by in-vehicle sensor(s), mobile user device(s), external sensors or other data sources. Based on the similarity metric, a premium, a deductible, a price, or other characteristic(s) of a policy may be determined. In some examples, policy characteristics may be adjusted (e.g., in real time) based on the analysis according to changing risk conditions if a driver is following routes that are dissimilar from typical routes.
73 Citations
17 Claims
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1. A computer-implemented method performed by at least one processor, the method comprising:
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based on data collected by one or more sensors during trips by one or more vehicles, determining, by the at least one processor, changes in movement of the one or more vehicles during the trips; selecting at least one pair of trips that includes a first trip driven by a first vehicle and a second trip driven by a second vehicle; determining a first sequence of movements by the first vehicle during the first trip based on changes in orientation, speed, and acceleration of the first vehicle during the first trip; determining a second sequence of movements by the second vehicle during the second trip based on changes in orientation, speed, and acceleration of the second vehicle during the second trip; comparing the first sequence of the changes in movement during the first trip in the selected pair and the second sequence of the changes in movement during the second trip in the selected pair; determining, by the at least one processor and based on the comparing, a similarity metric for the at least one pair of the trips, the similarity metric indicating a measure of similarity between the first sequence of the changes in movement during the first trip and the second sequence of the changes in movement during the second trip; based at least partly on the similarity metric, determining, by the at least one processor, at least one characteristic of at least one policy associated with the second vehicle, wherein the at least one characteristic of the policy includes one or more of;
a deductible amount, a premium amount, or a price;providing, by the at least one processor, the at least one characteristic of the at least one policy for presentation in a user interface on a computing device; accessing, by the at least one processor, risk data describing a risk of the first trip; determining, by the at least one processor, a risk of the second trip based on the risk of the first trip and the similarity metric for the first trip and the second trip; and based at least partly on the similarity metric for the first trip and the second trip, determining, by the at least one processor, the at least one characteristic of the at least one policy associated with the second trip based at least partly on the risk of the second trip. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system comprising:
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at least one processor; and a memory communicatively coupled to the at least one processor, the memory storing instructions which, when executed, cause the at least one processor to perform operations comprising; based on data collected by one or more sensors during trips by one or more vehicles, determining changes in movement of the one or more vehicles during the trips; selecting at least one pair of trips that includes a first trip driven by a first vehicle and a second trip driven by a second vehicle; determining a first sequence of movements by the first vehicle during the first trip based on changes in orientation, speed, and acceleration of the first vehicle during the first trip; determining a second sequence of movements by the second vehicle during the second trip based on changes in orientation, speed, and acceleration of the second vehicle during the second trip; comparing the first sequence of the changes in movement during the first trip in the selected pair and the second sequence of the changes in movement during the second trip in the selected pair; determining, by the at least one processor and based on the comparing, a similarity metric for the at least one pair of the trips, the similarity metric indicating a measure of similarity between the first sequence of the changes in movement during the first trip and the second sequence of the changes in movement during the second trip; based at least partly on the similarity metric, determining, by the at least one processor, at least one characteristic of at least one policy associated with the second vehicle, wherein the at least one characteristic of the policy includes one or more of;
a deductible amount, a premium amount, or a price;providing the at least one characteristic of the at least one policy for presentation in a user interface on a computing device; accessing, by the at least one processor, risk data describing a risk of the first trip; determining, by the at least one processor, a risk of the second trip based on the risk of the first trip and the similarity metric for the first trip and the second trip; and based at least partly on the similarity metric for the first trip and the second trip, determining, by the at least one processor, the at least one characteristic of the at least one policy associated with the second trip based at least partly on the risk of the second trip. - View Dependent Claims (11, 12, 13, 14)
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15. One or more non-transitory computer-readable storage media storing instructions which, when executed by at least one processor, cause the at least one processor to perform operations comprising:
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based on data collected by one or more sensors during trips by one or more vehicles, determining changes in movement of the one or more vehicles during the trips; selecting at least one pair of trips that includes a first trip driven by a first vehicle and a second trip driven by a second vehicle; determining a first sequence of movements by the first vehicle during the first trip based on changes in orientation, speed, and acceleration of the first vehicle during the first trip; determining a second sequence of movements by the second vehicle during the second trip based on changes in orientation, speed, and acceleration of the second vehicle during the second trip; comparing the first sequence of the changes in movement during the first trip in the selected pair and the second sequence of the changes in movement during the second trip in the selected pair; determining, by the at least one processor and based on the comparing, a similarity metric for the at least one pair of the trips, the similarity metric indicating a measure of similarity between the first sequence of the changes in movement during the first trip and the second sequence of the changes in movement during the second trip; based at least partly on the similarity metric, determining, by the at least one processor, at least one characteristic of at least one policy associated with the second vehicle, wherein the at least one characteristic of the policy includes one or more of;
a deductible amount, a premium amount, or a price;providing the at least one characteristic of the at least one policy for presentation in a user interface on a computing device; accessing, by the at least one processor, risk data describing a risk of the first trip; determining, by the at least one processor, a risk of the second trip based on the risk of the first trip and the similarity metric for the first trip and the second trip; and based at least partly on the similarity metric for the first trip and the second trip, determining, by the at least one processor, the at least one characteristic of the at least one policy associated with the second trip based at least partly on the risk of the second trip. - View Dependent Claims (16, 17)
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Specification