System and method for determining driving patterns using telematics data
First Claim
1. A computer implemented method for determining a driving pattern from raw telematics data, the method comprising:
- receiving, via a computer network, a plurality of telematics data corresponding to a trip of a vehicle, wherein the plurality of telematics data originates from a client computing device and includes a gravitational data component, a longitudinal data component and a latitudinal data component, wherein each of the longitudinal data component and the latitudinal data component has two acceleration effects;
identifying, by one or more processors, a first primary movement window of the vehicle trip from secondary movement data in the plurality of telematics data, wherein the primary movement window is indicative of the client computing device being static with respect to movement of the vehicle, and wherein the secondary movement data is indicative of the client computing device moving with respect to the moving vehicle;
removing, by the one or more processors, the gravitational data component from the telematics data in the first primary movement window of the vehicle trip leaving a vector defined by the longitudinal data component and the latitudinal data component in a longitudinal-latitudinal plane;
combining, by the one or more processors, the longitudinal data component and the latitudinal data component to create an angular average of four times the directions of all vectors in the longitudinal-latitudinal plane such that all four acceleration effects of the plurality telematics data are in one direction;
generating, by the one or more processors, one or more yaw angle estimates from the first primary movement window of the vehicle trip using the angular average; and
determining, by the one or more processors, a driving pattern based on at least one of the yaw angle estimates.
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Abstract
A computer implemented method for determining a yaw angle estimate or vehicle heading direction is presented. A data server may receive a plurality of telematics data originating from a client computing device and determine a first primary movement window from the telematics data. The data server may also determine a potential range of yaw angles from the plurality of telematics data from the first primary movement window and generate an equality that evaluates the potential range of yaw angles. The data server may further maximize the count of acceleration events of the telematics data from the first primary movement window to further generate one or more refined yaw angle estimates. The data server stores the one or more yaw angle estimates on a memory.
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Citations
17 Claims
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1. A computer implemented method for determining a driving pattern from raw telematics data, the method comprising:
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receiving, via a computer network, a plurality of telematics data corresponding to a trip of a vehicle, wherein the plurality of telematics data originates from a client computing device and includes a gravitational data component, a longitudinal data component and a latitudinal data component, wherein each of the longitudinal data component and the latitudinal data component has two acceleration effects; identifying, by one or more processors, a first primary movement window of the vehicle trip from secondary movement data in the plurality of telematics data, wherein the primary movement window is indicative of the client computing device being static with respect to movement of the vehicle, and wherein the secondary movement data is indicative of the client computing device moving with respect to the moving vehicle; removing, by the one or more processors, the gravitational data component from the telematics data in the first primary movement window of the vehicle trip leaving a vector defined by the longitudinal data component and the latitudinal data component in a longitudinal-latitudinal plane; combining, by the one or more processors, the longitudinal data component and the latitudinal data component to create an angular average of four times the directions of all vectors in the longitudinal-latitudinal plane such that all four acceleration effects of the plurality telematics data are in one direction; generating, by the one or more processors, one or more yaw angle estimates from the first primary movement window of the vehicle trip using the angular average; and determining, by the one or more processors, a driving pattern based on at least one of the yaw angle estimates. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A computer device for determining a driving pattern from raw telematics data, the device comprising:
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one or more processors; and one or more memories coupled to the one or more processors; the one or more memories including non-transitory computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to; receive a plurality of telematics data corresponding to a trip of a vehicle, wherein the plurality of telematics data originates from a client computing device and the plurality of telematics data includes a gravitational data component, a longitudinal data component and a latitudinal data component, wherein each of the longitudinal data component and the latitudinal data component has two acceleration effects; identify a first primary movement of the vehicle trip from secondary movement data in the plurality of telematics data, wherein the primary movement window is indicative of the client computing device being static with respect to movement of the vehicle, and wherein the secondary movement data is indicative of the client computing device moving with respect to the moving vehicle; remove the gravitational constant from the telematics data in the first primary movement window of the vehicle trip leaving a vector defined by the longitudinal data component and the latitudinal data component in a longitudinal-latitudinal plane; combine the longitudinal data component and the latitudinal data component to create an angular average of four times the directions of all vectors in the longitudinal-latitudinal plane such that all four acceleration effects of the plurality telematics data are in one direction; generate, using the angular average, one or more yaw angle estimates from the first primary movement window of the vehicle trip; and determine a driving pattern based on at least one of the yaw angle estimates. - View Dependent Claims (8, 9, 10, 11)
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12. A non-transitory computer readable storage medium having instructions stored thereon for determining a driving pattern from raw telematics data, the instructions when executed on one or more processors cause the one or more processors to:
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receive a plurality of telematics data corresponding to a trip of a vehicle, wherein the plurality of telematics data originates from a client computing device and the plurality of telematics data includes a gravitational data component, a longitudinal data component and a latitudinal data component, wherein each of the longitudinal data component and the latitudinal data component has two acceleration effects; identify a first primary movement window of the vehicle trip from secondary movement data in the plurality of telematics data, wherein the primary movement window is indicative of the client computing device being static with respect to movement of the vehicle, and wherein the secondary movement data is indicative of the client computing device moving with respect to the moving vehicle; remove the gravitational data component from the telematics data in the first primary movement window of the vehicle trip leaving a vector defined by the longitudinal data component and the latitudinal data component in a longitudinal-latitudinal plane; combine the longitudinal data component and the latitudinal data component to create an angular average of four times the directions of all vectors in the longitudinal-latitudinal plane such that all four acceleration effects of the plurality telematics data are in one direction; generate, using the angular average, one or more yaw angle estimates from the first primary movement window of the vehicle trip using the created function without determining which data component corresponds with which acceleration effect; and determine a driving pattern based on at least one of the yaw angle estimates. - View Dependent Claims (13, 14, 15, 16, 17)
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Specification