Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: analyzing telematics data and device interaction data to determine vehicle driving instances in which a user interacts with a mobile device during a vehicle trip for a vehicle; and the device interaction data is generated when the user interacts with the mobile device during the vehicle trip for the vehicle; receiving positioning data associated with one or more positions of the mobile device within the vehicle during the vehicle trip for the vehicle; and identifying whether the user interacting with the mobile device is a driver of the vehicle based at least in part upon the positioning data and the vehicle driving instances. Other embodiments are disclosed.

Abstract: Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, operating data may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and/or control decisions made by the features. The control decisions may include actions the feature would have taken to control the vehicle, but which were not taken because a vehicle operator was controlling the relevant aspect of vehicle operation at the time. The operating data may be recorded in a log, which may then be used to determine risk levels associated with vehicle operation based upon risk levels associated with the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.

Abstract: Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A computing device may receive data for the same road segment from autonomous vehicles, including (i) an indication of a location within the road segment, and (ii) an indication of a condition of the road segment. The computing device may generate, from the data for the same road segment, an overall indication of the condition of the road segment, which may include a recommendation to vehicles approaching the road segment. Additionally, the computing device may receive a request from a computing device within a vehicle approaching the road segment to display vehicle data. The overall indication for the road segment may then be displayed on a user interface of the computing device.

Abstract: Method and system for determining which household members should be included as additional drivers. For example, the method includes receiving individual and household data associated with a first user, determining first characteristics of the first user, retrieving individual and household data associated with second users possessing second characteristics, selecting one or more of the second users to be included as third users based on comparing the second characteristics of the second users to the first characteristics of the first user, retrieving insurance data of the third users, using a machine learning model to determine probabilities that members of the first user's household should be included as additional drivers based on the insurance data of the third users, generating an insurance quote on a vehicle associated with the first user based on the probabilities, and displaying the insurance quote.

Abstract: Methods and systems for autonomous vehicle recharging or refueling are disclosed. Autonomous electric vehicles may be automatically recharged by routing the vehicles to available charging stations when not in operation, according to methods described herein. A charge level of the battery of an autonomous electric vehicle may be monitored until it reaches a recharging threshold, at which point an on-board computer may generate a predicted use profile for the vehicle. Based upon the predicted use profile, a time and location for the vehicle to recharge may be determined. In some embodiments, the vehicle may be controlled to automatically travel to a charging station, recharge the battery, and return to its starting location in order to recharge when not in use.

Abstract: Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the robustness of autonomous systems, including the use of virtual assessment of software components within a simulated environment. To this end, a server may retrieve one or more routines associated with autonomous operation. The server may also generate a set of test data associated with test conditions. The server may also execute an emulator that virtually simulates autonomous environment. The test data may be presented to the routines executing in the emulator to generate output data. The server may then analyze the output data to determine a quality metric.

Abstract: Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A computing device may receive data for the same road segment from autonomous vehicles, including (i) an indication of a location within the road segment, and (ii) an indication of a condition of the road segment. The computing device may generate, from the data for the same road segment, an overall indication of the condition of the road segment, which may include a recommendation to vehicles approaching the road segment. Additionally, the computing device may receive a request from a computing device within a vehicle approaching the road segment to display vehicle data. The overall indication for the road segment may then be displayed on a user interface of the computing device.

Abstract: Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, operating data may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and/or control decisions made by the features. The control decisions may include actions the feature would have taken to control the vehicle, but which were not taken because a vehicle operator was controlling the relevant aspect of vehicle operation at the time. The operating data may be recorded in a log, which may then be used to determine risk levels associated with vehicle operation based upon risk levels associated with the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.

Abstract: Method and system for validating whether a user of a mobile device is a vehicle driver. For example, the method includes receiving telematics data and device interaction data generated by the mobile device during a vehicle trip, analyzing the telematics data and the device interaction data to determine driving instances in which the user interacts with the mobile device during the vehicle trip, determining whether the user of the mobile device is the driver of the vehicle during the vehicle trip based on the driving instances by using a classification technique, receiving positioning data associated with the mobile device within the vehicle during the vehicle trip, and validating the classification technique based on the positioning data and whether the user of the mobile device is determined to be the driver of the vehicle.

Abstract: Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.

Abstract: Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicle and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the condition of components for salvage following a collision or other loss-event. To this end, the information regarding a plurality of components may be received. A component of the plurality of components may be identified for assessment. Assessment may including causing test signals to be sent to the identified component. In response to the test signal, one or more responses may be received. The received response may be compared to an expected response to determine whether the identified component is salvageable.

Abstract: Method and system for providing vehicle insurance discounts. For example, the method includes receiving a first discount value determined by a user for an insurance policy of a vehicle, applying the first discount value to the insurance policy for a predetermined period of time, collecting driving data associated with trips made by the vehicle during the predetermined period of time, determining a driving behavior of the user based on analyzing the driving data, presenting to the user whether the driving behavior is indicative of the first discount value, analyzing the driving data to determine a second discount value for the insurance policy, and after the predetermined period of time, replacing the first discount value with the second discount value and applying the second discount value to the insurance policy.

Abstract: Method and system for providing vehicle insurance discounts. For example, the method includes presenting questions to a user, receiving first responses to the questions, determining a first discount value for an insurance policy of a vehicle based upon the first responses, presenting the first discount value, receiving second responses to the questions, determining a second discount value based upon the second responses, determining an initial discount value based at least in part upon the first discount value and the second discount value, applying the initial discount value to the insurance policy for a predetermined period of time, collecting driving data associated with trips made by the vehicle during the predetermined period of time, analyzing the driving data to determine a third discount value, and after the predetermined period of time, replacing the initial discount value with the third discount value and applying the third discount value to the insurance policy.

Abstract: Method and system for validating whether a user of a mobile device is a vehicle driver. For example, the method includes receiving telematics data and device interaction data generated by the mobile device during a vehicle trip, analyzing the telematics data and the device interaction data to determine driving instances in which the user interacts with the mobile device during the vehicle trip, determining whether the user of the mobile device is the driver of the vehicle during the vehicle trip based on the driving instances by using a classification technique, receiving positioning data associated with the mobile device within the vehicle during the vehicle trip, and validating the classification technique based on the positioning data and whether the user of the mobile device is determined to be the driver of the vehicle.

Abstract: Method and system for providing vehicle insurance discounts. For example, the method includes receiving a first discount value determined by a user for an insurance policy of a vehicle, generating statistical data associated with the first discount value, presenting the statistical data to the user, applying the first discount value to the insurance policy for a predetermined period of time, collecting driving data associated with trips made by the vehicle during the predetermined period of time, analyzing the driving data to determine a second discount value for the insurance policy, and after the predetermined period of time, replacing the first discount value with the second discount value and applying the second discount value to the insurance policy.

Abstract: Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Malfunctions may be detected by receiving sensor data from a plurality of sensors. One of these sensors may be selected for assessment. An electronic device may obtain from the selected sensor a set of signals. When the set of signals includes signals that are outside of a determined range of signals associated with proper functioning for the selected sensor, it may be determined that the selected sensor is malfunctioning. In response, an action may be performed to resolve the malfunction and/or mitigate consequences of the malfunction.

Abstract: Methods and systems for providing vehicle insurance discounts. For example, the method includes presenting, by a computing device, one or more questions to a user; receiving, from the user by the computing device, one or more responses to the one or more questions; determining, by the computing device, a first discount value for an insurance policy of a vehicle based at least in part upon the one or more responses; applying, by the computing device, the first discount value to the insurance policy of the vehicle for a predetermined period of time; collecting, by the computing device, driving data associated with one or more trips made by the vehicle during the predetermined period of time; analyzing, by the computing device, the driving data and the one or more responses; and determining, by the computing device, a first weight and a second weight based at least in part upon the driving data.

Abstract: Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, operating data may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and/or control decisions made by the features. The control decisions may include actions the feature would have taken to control the vehicle, but which were not taken because a vehicle operator was controlling the relevant aspect of vehicle operation at the time. The operating data may be recorded in a log, which may then be used to determine risk levels associated with vehicle operation based upon risk levels associated with the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.

Abstract: Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicle and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the condition of components for salvage following a collision or other loss-event. To this end, the information regarding a plurality of components may be received. A component of the plurality of components may be identified for assessment. Assessment may including causing test signals to be sent to the identified component. In response to the test signal, one or more responses may be received. The received response may be compared to an expected response to determine whether the identified component is salvageable.

Abstract: Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.