Abstract: One or more devices in a data analysis computing system may be configured to receive and analyze movement data, and determine driving trips associated driving data based on the received movement data. Movement data may be collected by one or more mobile devices, such as smartphones, tablet computers, and the like. One or more driving trips may be identified based on the movement data collected by the mobile devices, including acceleration data, speed data, and rotation rate data. After identifying a driving trip, the previously collected movement data and/or additional driving data may be analyzed to determine additional driving trip data, such as the driver, vehicle, and/or additional driving factors.

Abstract: Systems and apparatuses for identifying a type of issue associated with a stopped vehicle are provided. The system may determine a current location of the vehicle and determine whether the vehicle is currently located on a highway. In some examples, the determined location of the vehicle may cause the system to transmit instructions controlling an amount or type of data collected by sensors and/or transmitted to the system. If the vehicle is on a highway, the system may then determine whether the vehicle is stopped. If so, the system may determine a reason for the vehicle stopping. Upon determining that the vehicle is stopped for an urgent reason, the system may transmit a request for roadside assistance to a service provider computing device and may generate a first type of notification. Upon determining that the vehicle is stopped for a non-urgent situation reason, the system may generate and transmit a second type of notification for display.

Abstract: A method of encouraging safe driving of a vehicle using a vehicle ignition control is provided. Ignition of the vehicle is prevented until an indication that vehicle insurance for operating the vehicle has been purchased. The insurance rate to charge may be based on driving behaviors detected while operating the vehicle.

Abstract: Systems and methods are disclosed for detecting vehicular accidents based on sensor data, such as data from a mobile device in a vehicle or data from the vehicle's sensors. If an accident is detected, the system may determine whether to collect sensor data from additional sources, such as additional vehicle sensors or additional mobile devices (e.g., a pedestrian's mobile device or a mobile device within a vehicle). The system may also determine whether to collect data from traffic devices or from contextual data sources. The data may be used by the system to determine which party is at fault in the accident. The data may also be used to generate a visualization of the accident.

Abstract: One or more devices in a data analysis computing system may be configured to receive and analyze movement data, and determine driving trips associated driving data based on the received movement data. Movement data may be collected by one or more mobile devices, such as smartphones, tablet computers, and the like. One or more driving trips may be identified based on the movement data collected by the mobile devices, including acceleration data, speed data, and rotation rate data. After identifying a driving trip, the previously collected movement data and/or additional driving data may be analyzed to determine additional driving trip data, such as the driver, vehicle, and/or additional driving factors.

Abstract: One or more devices in a data analysis computing system may be configured to receive and analyze movement data, and determine driving trips associated driving data based on the received movement data. Movement data may be collected by one or more mobile devices, such as smartphones, tablet computers, and the like. One or more driving trips may be identified based on the movement data collected by the mobile devices, including acceleration data, speed data, and rotation rate data. After identifying a driving trip, the previously collected movement data and/or additional driving data may be analyzed to determine additional driving trip data, such as the driver, vehicle, and/or additional driving factors.

Abstract: Systems and methods are disclosed for detecting vehicular accidents based on sensor data, such as data from a mobile device in a vehicle or data from the vehicle's sensors. If an accident is detected, the system may determine whether to collect sensor data from additional sources, such as additional vehicle sensors or additional mobile devices (e.g., a pedestrian's mobile device or a mobile device within a vehicle). The system may also determine whether to collect data from traffic devices or from contextual data sources. The data may be used by the system to determine which party is at fault in the accident. The data may also be used to generate a visualization of the accident.

Abstract: Systems and methods are provided for standardized evaluation of new drivers seeking driver's licenses. A driving license acquisition system may determine the requirements for a new driver to obtain a full driver's license in a particular state, track the driver's driving performance to determine when the requirements are met, and administer a written test and a driving test. Upon passing the written test and the driving test, the driving license acquisition system may communicate with a driver's license issuing authority system (e.g., Department of Motor Vehicles) to recommend issuing a driver's license to the driver. The driving license acquisition system may reduce the need for a parent or other supervisor to monitor the new driver's driving record, and may reduce the need for the new driver visiting a local driver's license issuing authority to obtain a driver's license.

Abstract: Systems and apparatuses for identifying a type of issue associated with a stopped vehicle are provided. The system may determine a current location of the vehicle and determine whether the vehicle is currently located on a highway. In some examples, the determined location of the vehicle may cause the system to transmit instructions controlling an amount or type of data collected by sensors and/or transmitted to the system. If the vehicle is on a highway, the system may then determine whether the vehicle is stopped. If so, the system may determine a reason for the vehicle stopping. Upon determining that the vehicle is stopped for an urgent reason, the system may transmit a request for roadside assistance to a service provider computing device and may generate a first type of notification. Upon determining that the vehicle is stopped for a non-urgent situation reason, the system may generate and transmit a second type of notification for display.

Abstract: A method of encouraging safe driving of a vehicle using a remote starter device installed at a vehicle is provided. The remote starter device determines whether it is in signal communication with a remote starter application operating at a mobile computing device separate from the remote starter device. When the remote starter device is in signal communication with the remote starter application, the remote starter device permits ignition of the vehicle. When the remote starter device is not in signal communication with the remote starter application, the remote starter device prevents ignition of the vehicle. The remote starter application may present to a driver of the vehicle an insurance rate for taking a trip in the vehicle.

Abstract: Systems and methods are disclosed herein for providing near real-time communication, such as a warning/notification, to a user based on analysis of various user and vehicle telematic data. The system includes a user with a wearable human telematic sensor providing telematic data about the wearer. Also, the system and method includes at least one vehicle telematic sensor configured to provide telematic data about the vehicle and/or surrounding environment. The various telematic data is communicated and processed to provide a notification back to the user such as a potential safety hazard. The safety hazard may be based upon sensed data specific to the user, specific to the vehicle, or combinations thereof.

Abstract: One or more devices in a data analysis computing system may be configured to receive and analyze movement data, and determine driving trips associated driving data based on the received movement data. Movement data may be collected by one or more mobile devices, such as smartphones, tablet computers, and the like. One or more driving trips may be identified based on the movement data collected by the mobile devices, including acceleration data, speed data, and rotation rate data. After identifying a driving trip, the previously collected movement data and/or additional driving data may be analyzed to determine additional driving trip data, such as the driver, vehicle, and/or additional driving factors.

Abstract: Systems and methods are disclosed herein for pricing an insurance premium based on analysis of various telematics data. The system includes a user human telematic sensor providing telematics data about the wearer. Also, the system and method comprise at least one building/environment telematic sensor configured to provide telematic data about the building and the surrounding environment. The various telematics data is communicated and processed to provide an insurance quote to the user based upon analysis of the telematics data.

Abstract: Systems and methods are disclosed herein for providing near real-time communication to a user based on analysis of various user and environmental telematic data. The system includes a user telematic sensor providing telematics data about the wearer. Also, the system and method include at least one building/environment telematic sensor configured to provide telematic data about the building and/or surrounding environment. The various telematics data is communicated and processed to provide notification back to the user such as a potential safety hazard. The safety hazard may be based upon sensed data specific to the user, specific to the user's environment, or combinations thereof.

Abstract: Systems and methods are disclosed herein for pricing an insurance premium based on telematics data. The system includes a communications interface and a business logic processor in communication with the communications interface. The communications interface receives telematics data collected by a telematics acquisition device. A business logic processor determines an insurance quote for a user based on the received telematics data, vehicle data, and vehicle owner data. The communications interface transmits the insurance quote to the user of the vehicle.

Abstract: System and methods for encouraging safe driving are provided. A mobile computing device may be configured to include a trip monitoring application. The trip monitoring application may automatically detect when a trip in a vehicle has begun. The trip monitoring application may collect trip information during the trip and derive additional trip information upon termination of the trip. A cash reward amount may be calculated based at least in part on the additional trip information derived from the trip information collected during the trip. The cash reward amount may be provided to an individual associated with the mobile computing device.

Abstract: One or more devices in a data analysis computing system may be configured to receive and analyze movement data, and determine driving trips associated driving data based on the received movement data. Movement data may be collected by one or more mobile devices, such as smartphones, tablet computers, and the like. One or more driving trips may be identified based on the movement data collected by the mobile devices, including acceleration data, speed data, and rotation rate data. After identifying a driving trip, the previously collected movement data and/or additional driving data may be analyzed to determine additional driving trip data, such as the driver, vehicle, and/or additional driving factors.

Abstract: Systems and methods are disclosed herein for pricing an insurance premium based on analysis of various telematic data. The system includes a user with a wearable human telematic sensor providing telematic data about the wearer. Also, the system and method includes at least one building/environment telematic sensor configured to provide telematic data about the building and surrounding environment. The various telematic data is communicated and processed to provide an insurance quote to the user based upon analysis of the telematic data.

Abstract: Systems and methods are disclosed herein for providing near real time communication to a user based on analysis of various user and environmental telematic data. The system includes a user with a wearable human telematic sensor providing telematic data about the wearer. Also, the system and method includes at least one building/environment telematic sensor configured to provide telematic data about the building and/or surrounding environment. The various telematic data is communicated and processed to provide a notification back to the user such as a potential safety hazard. The safety hazard may be based upon sensed data specific to the user, specific to the user's environment, or combinations thereof.

Abstract: Systems and methods are disclosed herein for pricing an insurance premium based on telematics data. The system includes a communications interface and a business logic processor in communication with the communications interface. The communications interface receives telematics data collected by a telematics acquisition device. A business logic processor determines an insurance quote for a user based on the received telematics data, vehicle data, and vehicle owner data. The communications interface transmits the insurance quote to the user of the vehicle.