Abstract: At least a system for providing telematics data associated with a vehicle being driven by a driver is described. The vehicular telematics data may be obtained by tracking the movements of a wireless communications device of a driver of the vehicle. The telematics data may provide, among other things, speed, acceleration, deceleration, times of operation, duration of operation, mileage driven per day, and day of the week the vehicle has been used. At least a system for determining risk behavior of a driver is also described. While a vehicle is being driven, data is obtained related to the position and movement of a wireless communications device. The data may indicate the type of behavior exhibited by the driver while the vehicle is being driven.

Abstract: Systems and methods are disclosed for managing the processing and execution of models that may have been developed on a variety of platforms. A multi-model execution module specifying a sequence of models to be executed may be determined. A multi-platform model processing and execution management engine may execute the multi-model execution module internally, or outsource the execution to a distributed model execution orchestration engine. A model data monitoring and analysis engine may monitor the internal and/or distributed execution of the multi-model execution module, and may further transmit notifications to various computing systems.

Abstract: Aspects of the disclosure relate to controlling autonomous vehicles to provide automated emergency response functions. A computing platform may receive vehicle data associated with a vehicle from an on-board vehicle monitoring system associated with the vehicle. Subsequently, the computing platform may detect an occurrence of an emergency at a location. Thereafter, the computing platform may select an autonomous vehicle to respond to the emergency at the location based on autonomous vehicle state information. Then, the computing platform may generate one or more dispatch commands directing the autonomous vehicle to move to the location and execute one or more emergency response functions. Subsequently, the computing platform may send, to an on-board autonomous vehicle control system associated with the autonomous vehicle, the one or more dispatch commands directing the autonomous vehicle to move to the location and execute the one or more emergency response functions.

Abstract: System, apparatus, and methods are disclosed for determining, through vehicle-to-vehicle communication, a drafting characteristic of a drafting relationship using vehicle operational data, where the drafting characteristic may include one or more of a vehicle spacing between a first vehicle and a second vehicle, vehicle speed, and vehicle type. Vehicle driving data and other information may be used to calculate an autonomous droning reward amount. In addition, vehicle involved in a drafting relationship in addition to, or apart from, an autonomous droning relationship may be financially rewarded. Moreover, aspects of the disclosure related to determining ruminative rewards and/or aspects of vehicle insurance procurement/underwriting.

Abstract: Aspects of the disclosure relate to controlling an autonomous vehicle to respond to a detected collision. An autonomous vehicle control system may receive sensor data associated with an autonomous vehicle in which the autonomous vehicle control system is installed. The autonomous vehicle control system may analyze the sensor data in real-time as the sensor data is received and may detect an occurrence of a collision involving the autonomous vehicle. In response to detecting the occurrence of the collision, the autonomous vehicle control system may generate claim information based on the sensor data and may process the claim information based on at least one insurance profile maintained by the autonomous vehicle control system. Then, the autonomous vehicle control system may generate a claim notification based on processing the claim information and may send the claim notification to a vehicle management computer system.

Abstract: Event-based and subscription-based connected vehicle control and response systems, methods, and apparatus are disclosed. An example method comprises receiving first data acquired by a first plurality of vehicle operation sensors of a first vehicle from a first computing device associated with a first subscriber, identifying an occurrence of an event involving the first vehicle, requesting second data acquired by one or more responsive object sensors in a vicinity of the event, determining a causation of the event, generating a fault distribution, and transmitting the fault distribution to the computing device of the first subscriber.

Abstract: A method is disclosed for analyzing historical accident information to adjust driving actions of an autonomous vehicle over a travel route in order to avoid accidents which have occurred over the travel route. Historical accident information for the travel route can be analyzed to, for example, determine accident types which occurred over the travel route and determine causes and/or probable causes of the accident types. In response to determining accident types and causes/probable causes of the accident types over the travel route, adjustments can be made to the driving actions planned for the autonomous vehicle over the travel route. In addition, in an embodiment, historical accident information can be used to analyze available travel routes and select a route which presents less risk of accident than others.

Abstract: Aspects of the disclosure relate to controlling an autonomous vehicle to respond to a detected collision. An autonomous vehicle control system may receive sensor data associated with an autonomous vehicle in which the autonomous vehicle control system is installed. The autonomous vehicle control system may analyze the sensor data in real-time as the sensor data is received and may detect an occurrence of a collision involving the autonomous vehicle. In response to detecting the occurrence of the collision, the autonomous vehicle control system may generate claim information based on the sensor data and may process the claim information based on at least one insurance profile maintained by the autonomous vehicle control system. Then, the autonomous vehicle control system may generate a claim notification based on processing the claim information and may send the claim notification to a vehicle management computer system.

Abstract: Systems and methods for determining the authenticity of vehicle operational data provided by telematics or other devices are provided. Vehicle performance and/or operational data may be collected and the authenticity of the data stream may be determined based on the whether the data stream includes a watermark in a predetermined location of the data stream or whether the data stream includes a data key comprising a predetermined false vehicle performance data reading. A second data recording device may also record vehicle performance and/or operational data. Both the first and second data recording devices may provide the respective vehicle performance data to a computing device. The computing device may compare the vehicle performance data from the first and second data recording devices to determine authenticity of the vehicle measurement data.

Abstract: At least a system for providing telematics data associated with a vehicle being driven by a driver is described. The vehicular telematics data may be obtained by tracking the movements of a wireless communications device of a driver of the vehicle. The telematics data may provide, among other things, speed, acceleration, deceleration, times of operation, duration of operation, mileage driven per day, and day of the week the vehicle has been used. At least a system for determining risk behavior of a driver is also described. While a vehicle is being driven, data is obtained related to the position and movement of a wireless communications device. The data may indicate the type of behavior exhibited by the driver while the vehicle is being driven.

Abstract: Event-based and subscription-based connected vehicle control and response systems, methods, and apparatus are disclosed. An example method comprises receiving first data acquired by a first plurality of vehicle operation sensors of a first vehicle from a first computing device associated with a first subscriber, identifying an occurrence of an event involving a second vehicle and a third vehicle based on the first data, receiving second data acquired by a second plurality of vehicle operation sensors of the second vehicle, identifying which vehicle of the second vehicle or the third vehicle is at-fault based on the first data and the second data, determining, for the first subscriber and responsive to determining that the first data was used in determining which of the first vehicle or the second vehicle is at-fault, one or more objects, and transmitting the one or more objects to the first computing device.

Abstract: Methods, computer-readable media, systems and apparatuses for determining and implementing risk unit usage-based insurance policies. In some arrangements, sensor data associated with vehicle operation data, driving data, and the like, may be received and analyzed to determine a consumption rate of risk units in the risk unit usage-based insurance policy. In some examples, one or more driving behaviors may also be identified (e.g., from the sensor data, historical data, and the like). In some examples, one or more user interfaces may be generated displaying the determined consumption rate and/or driving behaviors. In some arrangements, additional information, such as one or more recommendations for improving (e.g., reducing) consumption rate may be generated and provided via the generated user interface.

Abstract: A method is disclosed for mitigating the risks associated with operating an autonomous or semi-autonomous vehicle by using calculated route traversal values to select less risky travel routes and/or modify vehicle operation. Various approaches to achieving this risk mitigation are presented. A computing device is configured to generate a database of route traversal values. This device may receive a variety of historical route traversal information, real-time vehicle information, and/or route information from one of more data sources and calculate a route traversal value for the associated driving route. Subsequently, the computing device may provide the associated route traversal value to other devices, such as a vehicle navigation device associated with the autonomous or semi-autonomous vehicle. An insurance company may use this information to help determine insurance premiums for autonomous or semi-autonomous vehicles by analyzing and/or mitigating the risk associated with operating those vehicles.

Abstract: Methods, computer-readable media, systems and apparatuses for determining and implementing risk unit usage-based insurance policies. In some arrangements, sensor data associated with vehicle operation data, driving data, and the like, may be received and analyzed to determine a consumption rate of risk units in the risk unit usage-based insurance policy. In some examples, one or more driving behaviors may also be identified (e.g., from the sensor data, historical data, and the like). In some examples, one or more user interfaces may be generated displaying the determined consumption rate and/or driving behaviors. In some arrangements, additional information, such as one or more recommendations for improving (e.g., reducing) consumption rate may be generated and provided via the generated user interface.

Abstract: A system may be configured to detect an emergency condition at a premises; dispatch one or more autonomous drones to a location associated with the emergency condition; receive from the one or more autonomous drones, sensor data associated with the emergency condition; generate, based on the sensor data, a plan identifying an evacuation route for safely evacuating the premises; and transmit an instruction that causes the one or more autonomous drones to indicate, to one or more persons in a vicinity of the emergency condition, the evacuation route. The system may further detect, based on the sensor data, one or more safe areas in the premises, and the evacuation route may pass through at least one of the one or more safe areas.

Abstract: At least a method for determining risk behavior of a driver is described. While a vehicle is being driven, data is obtained related to the position and movement of a wireless communications device. The data may indicate the type of behavior exhibited by the driver while the vehicle is being driven.

Abstract: Event-based connected vehicle control and response systems, methods, and apparatus are disclosed. An example method comprises identifying the occurrence of an event, storing first data corresponding to apparatus operation for a first threshold amount of time prior to the event, during the occurrence of the event, and for a second threshold amount of time after the event, determining whether a responsive object is involved in or near the event, in response to determining that the responsive object is involved in or near the event, transmitting the first data to the responsive object, and receiving, from the responsive object, second data, analyzing the first data and the second data to determine a party at-fault for the event, aggregating the first data and second data into an event report, and causing, automatically, a response to be initiated through an entity associated with the party at-fault.

Abstract: Systems and apparatuses for receiving data from a plurality of sensors and using the data, as well as other data, to generate a parking recommendation for an autonomous vehicle and instruct the autonomous vehicle to travel to the recommended parking location are provided. Data may be received from a plurality of sensors within a first autonomous vehicle, as well as from other vehicles and/or structures. Historical parking data associated with the first autonomous vehicle may also be extracted. In some examples, an expected future trip of the first autonomous vehicle may be determined. The system may then evaluate the data to generate a parking recommendation for the first autonomous vehicle. The system may generate and transmit instructions for traveling from a current location to the recommended parking location and may cause the first autonomous vehicle to travel to the recommended parking location.

Abstract: Event-based connected vehicle control and response systems, methods, and apparatus are disclosed. An example method comprises identifying the occurrence of an event, storing first data corresponding to apparatus operation for a first threshold amount of time prior to the event, during the occurrence of the event, and for a second threshold amount of time after the event, determining whether a responsive object is involved in or near the event, in response to determining that the responsive object is involved in or near the event, transmitting the first data to the responsive object, and receiving, from the responsive object, second data, analyzing the first data and the second data to determine a party at-fault for the event, aggregating the first data and second data into an event report, and causing, automatically, a response to be initiated through an entity associated with the party at-fault.

Abstract: A system may be configured to detect an emergency condition at a premises; dispatch one or more autonomous drones to a location associated with the emergency condition; receive from the one or more autonomous drones, sensor data associated with the emergency condition; generate, based on the sensor data, a plan identifying an evacuation route for safely evacuating the premises; and transmit an instruction that causes the one or more autonomous drones to indicate, to one or more persons in a vicinity of the emergency condition, the evacuation route. The system may further detect, based on the sensor data, one or more safe areas in the premises, and the evacuation route may pass through at least one of the one or more safe areas.