A device may determine a set of trip attributes, associated with a driving trip, based on at least two of: location data associated with the driving trip, geospatial data associated with the driving trip, or weather data associated with the driving trip. The device may derive a set of driving style variables, associated with a manner in which the vehicle is driven during the driving trip, based on at least two of: the location data, the geospatial data, the weather data, acceleration data associated with the driving trip, or a location-based variable derived from the location data. The device may generate a trip risk score, associated with the driving trip and based on the set of trip attributes and the set of driving style variables, that includes a metric indicating a level of risk associated with the driving trip. The device may provide information associated with the trip risk score.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method, comprising: determining, by a device, a set of trip attributes associated with a driving trip of a vehicle, the set of trip attributes being determined based on at least two of: location data associated with the driving trip, geospatial data determined based on the location data associated with the driving trip, or weather data associated with the driving trip; deriving, by the device, a set of driving style variables associated with a manner in which the vehicle is driven during the driving trip, the set of driving style variables being determined based on at least two of: the location data, the geospatial data, the weather data, acceleration data associated with the driving trip, or a location-based variable derived from the location data; generating, by the device, a trip risk score, associated with the driving trip, based on the set of trip attributes and the set of driving style variables, the trip risk score including a metric that indicates a level of risk associated with the driving trip; and providing, by the device, information associated with the trip risk score. 2. The method of claim 1, further comprising: identifying a risk adjustment, to be applied to the trip risk score, based on a set of risk variables associated with the driving trip; adjusting the trip risk score, based on the risk adjustment, to create an adjusted trip risk score; and providing information associated with the adjusted trip risk score. 3. The method of claim 2, further comprising: deriving the set of risk variables, associated with the driving trip, that identifies high risk behavior associated with the manner in which the vehicle is driven during the driving trip, the set of risk variables being derived based on at least one of the location data, the geospatial data, the weather data, the acceleration data, or the location-based variable; and where identifying the risk adjustment comprises: identifying the risk adjustment based on the set of risk variables. 4. The method of claim 1, further comprising: determining, based on the set of driving style variables, at least one of: a speed score, an acceleration score, or a direction score; determining a trip score based on the set of trip attributes; and where generating the trip risk score comprises: generating the trip risk score based on the trip score and the at least one of the speed score, the acceleration score, or the direction score. 5. The method of claim 4, further comprising: determining a first score based on the speed score and the trip score; determining a second score based on the acceleration score and the trip score; or determining a third score based on the direction score and the trip score; and where generating the trip risk score comprises: determining the trip risk score based on the first score, the second score, or the third score. 6. The method of claim 5, further comprising: applying a first weight factor to the first score to create a weighted first score; applying a second weight factor to the second score to create weighted second score; applying a third weight factor to the second score to create a weighted third score; and where determining the trip risk score based on the first score, the second score, and the third score comprises: determining the trip risk score based on a sum of the weighted first score, the weighted second score, and the weight third score. 7. The method of claim 1, where the information associated with the trip risk score is provided to a user device associated with a driver of the vehicle. 8. A method, comprising: determining, by a device, a set of trip risk scores, corresponding to a driver, for a set of driving trips, a trip risk score, of the set of trip risk scores, including a first metric that indicates a level of risk associated with a corresponding driving trip of the set of driving trips; deriving, by the device, a set of driver variables, associated with the driver, that includes a set of variables associated with a manner in which a vehicle is driven by the driver during the set of driving trips, the set of driver variables being derived based on at least two of: driver data associated with the driver, the set of trip risk scores, location data associated with the set of driving trips, geospatial data determined based on the location data associated with the set of driving trips, acceleration data associated with the set of driving trips, or weather data associated with the set of driving trips; generating, by the device, a driver risk score, associated with the driver, based on the set of driver variables, the driver risk score including a second metric that indicates a level of risk associated with the driver; and providing, by the device, information associated with the driver risk score. 9. The method of claim 8, further comprising: identifying a driver risk category, associated with the driver, based on the set of driver variables; where generating the driver risk score comprises: generating the driver risk score based on the identified driver risk category. 10. The method of claim 8, where the driver data includes at least one of: demographic information associated with the driver, information associated with an insurance claim associated with the driver, information associated with a moving violation or a ticket associated with the driver, or a response of the driver to a behavioral question. 11. The method of claim 8, further comprising: determining sets of trip attributes corresponding to the set of driving trips; deriving sets of driving style variables corresponding to the set of driving trips; generating the set of trip risk scores, associated with the set of driving trips, based on the sets of trip attributes and the sets of driving style variables; and where determining the set of trip risk scores comprises: determining the set of trip risk scores based on generating the set of trip risk scores. 12. The method of claim 8, further comprising: determining a driver identifier associated with the driver; and determining the driver data, the set of trip risk scores, the location data, the geospatial data, the acceleration data, or the weather data based on the driver identifier associated with the driver. 13. The method of claim 8, where the information associated with the driver risk score is provided to at least one of a user device associated with the vehicle, or the vehicle. 14. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions that, when executed by one or more processors, cause the one or more processors to: determine at least one of: trip attributes based on location data associated with a driving trip of a vehicle, geospatial data associated with the driving trip, or weather data associated with the driving trip; derive driving style variables, associated with a manner in which the vehicle is driven during the driving trip, based on at least one of: the location data, the geospatial data, the weather data, acceleration data associated with the driving trip, or location-based variables derived from the location data; generate a trip risk score, associated with the driving trip, based on the trip attributes and the driving style variables, the trip risk score including a metric that indicates a level of risk associated with the driving trip; and provide information associated with the trip risk score. 15. The non-transitory computer-readable medium of claim 14, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to: derive driver variables, associated with a driver of the vehicle, that include a set of variables associated with a manner in which the vehicle is driven by the driver during a set of driving trips, the set of driving trips including the driving trip, and the driver variables being derived based on a set of trip risk scores, corresponding to the set of driving trips, the set of trip risk scores including the trip risk score; generate a driver risk score, associated with the driver, based on the driver variables, the driver risk score including a metric that indicates a level of risk associated with the driver; and provide information associated with the driver risk score. 16. The non-transitory computer-readable medium of claim 14, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to: identify a risk adjustment, to be applied to the trip risk score, based on a set of risk variables associated with the driving trip; adjust the trip risk score, based on the risk adjustment, to create an adjusted trip risk score; and provide information associated with the adjusted trip risk score. 17. The non-transitory computer-readable medium of claim 16, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to: derive risk variables, associated with the driving trip, that identify risky behavior associated with the manner in which the vehicle is driven during the driving trip, the risk variables being derived based on the location data, the geospatial data, the weather data, the acceleration data, or the location-based variables; and where the one or more instructions, that cause the one or more processors to identify the risk adjustment, cause the one or more processors to: identify the risk adjustment based on the risk variables. 18. The non-transitory computer-readable medium of claim 14, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to: determine, based on the driving style variables, a speed score, an acceleration score, and a direction score; determine a trip score based on the trip attributes; and where the one or more instructions, that cause the one or more processors to generate the trip risk score, cause the one or more processors to: generate the trip risk score based on the speed score, the acceleration score, the direction score, and the trip score. 19. The non-transitory computer-readable medium of claim 18, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to: determine a first score based on the speed score and the trip score; determine a second score based on the acceleration score and the trip score; determine a third score based on the direction score and the trip score; and where the one or more instructions, that cause the one or more processors to generate the trip risk score, cause the one or more processors to: generate the trip risk score based on the first score, the second score, and the third score. 20. The non-transitory computer-readable medium of claim 14, where the information associated with the trip risk score is provided to an insurer device associated with an insurer of the vehicle.