Abstract: A system can include a mobile device that includes one or more sensors for sensing information during a trip in a vehicle. A hardware processor can execute operations including receiving telematics information produced by one or more sensors during a trip in a vehicle; processing, by a hardware processor, the received telematics information to identify vehicle movement information for the vehicle during the trip; determining, by the hardware processor, a probability that an advanced driver assistance system (ADAS) feature of the vehicle was operational during the trip based, at least in part, on the vehicle movement information for the vehicle during the trip; and determining, by the hardware processor, a risk score for the vehicle or a driver of the vehicle based, at least in part, on the probability that the ADAS feature was operational.

Abstract: A method for constructing and evaluating a statistical model includes receiving, by a data processing system, telematics data and insurance claims data for a population of drivers. A training dataset is generated based on the telematics data that includes values for a proxy variable derived from the telematics data, and values for one or more features derived from the telematics data. A testing dataset is generate based on the telematics data and the claims data that includes values for a target variable derived from the claims data, and values for the one or more features derived from the telematics data. A statistical model is generated using the training dataset, the statistical model configured to predict values of the proxy variable from values of the one or more features. The statistical model is validated using the testing dataset.

Abstract: An approach to determining vehicle usage makes use of a sensor that provides a vibration signal associated with the vehicle, and that vibration signal is used to infer usage. Usage can include distance traveled, optionally associated with particular ranges of speed or road type. In a calibration phase, auxiliary measurements, for instance based on GPS signals, are used to determine a relationship between the vibration signal and usage. In a monitoring phase, the determined relationship is used to infer usage from the vibration signal.

Abstract: An approach to determining vehicle usage makes use of a sensor that provides a vibration signal associated with the vehicle, and that vibration signal is used to infer usage. Usage can include distance traveled, optionally associated with particular ranges of speed or road type. In a calibration phase, auxiliary measurements, for instance based on GPS signals, are used to determine a relationship between the vibration signal and usage. In a monitoring phase, the determined relationship is used to infer usage from the vibration signal.

Abstract: Customize safe speeds for vehicles are determined from information that is collected from multiple trips and multiple drivers across many road segments. The information collected includes the speed traveled along the road segment, possibly along with additional information, such as (for example) driver, time of day, day of week, weather and road conditions, angle of the sun or other factors. Given information from a new trip, the driver's speed can be compared on each road segment with relevant data from previous trips (from e.g., similar roads, weather conditions, drivers). The comparison yields a score representing the safety of the driver's speed.

Abstract: Customize safe speeds for vehicles are determined from information that is collected from multiple trips and multiple drivers across many road segments. The information collected includes the speed traveled along the road segment, possibly along with additional information, such as (for example) driver, time of day, day of week, weather and road conditions, angle of the sun or other factors. Given information from a new trip, the driver's speed can be compared on each road segment with relevant data from previous trips (from e.g., similar roads, weather conditions, drivers). The comparison yields a score representing the safety of the driver's speed.

Abstract: An approach to determining vehicle usage makes use of a sensor that provides a vibration signal associated with the vehicle, and that vibration signal is used to infer usage. Usage can include distance traveled, optionally associated with particular ranges of speed or road type. In a calibration phase, auxiliary measurements, for instance based on GPS signals, are used to determine a relationship between the vibration signal and usage. In a monitoring phase, the determined relationship is used to infer usage from the vibration signal.