Abstract: Systems and methods of automatically controlling a user's data footprint are provided. Data associated with a user may be analyzed to determine an action the user is preparing to take. Based on the analysis, a potential risk associated with the action the user is preparing to take may be identified. The potential risk associated with the action the user is preparing to take may be, for example, a data security risk, a data privacy risk, a physical risk, a risk of damage to property, and/or a financial risk. A notification indicating the potential risk associated with the action the user is preparing to take may be provided to the user. The notification may include one or more suggestions for mitigating the potential risk associated with the action the user is preparing to take.

Abstract: A distributed ledger operated by a group of network participants according to a set of consensus rules stores vehicle condition data and generated vehicle condition reports, The vehicle condition data may be received directly from a vehicle or an associated mobile device and the vehicle condition report may be accessed by an authorized user.

Abstract: Systems and methods for generating calm or quiet routes are provided. When a user requests navigation directions and indicates a preference for a calm route, a plurality of routes between the origin location and the destination location requested by the user may be identified. Historical sensor data (e.g., including heart rate data, exterior vehicle noise level data, accelerometer data) and traffic data associated with route segments of each of the routes may be analyzed to identify indications of calmness associated with each route segment. Current traffic data associated with the route segments may be analyzed to assign a traffic score representing a level of congestion along the segment and corresponding to a level of insurance risk associated with traversing the segment. Based at least in part upon the indications of calmness and the traffic score associated with each route segment, a route may be selected and presented to the user.

Abstract: Systems and methods for facilitating virtual operation of a virtual vehicle within a virtual environment are disclosed. According to aspects, a computing device may access a data model indicative of real-life operation of a real-life vehicle by a real-life operator and, based on the data model, generate a set of virtual vehicle movements that are reflective of a performance of the real-life operation of the real-life vehicle by the real-life operator. The computing device may display, in a user interface, the virtual vehicle undertaking the set of virtual vehicle movements such that the real-life operator may review the virtual movements and potentially be motivated to improve his/her real-life vehicle operation.

Abstract: Systems and methods for reducing vehicle collisions based on driver risk groups are provided. A plurality of vehicle operators may be classified into a driver risk group based on one or more attributes (e.g., location, workplace, school, demographic, hobby, interest, etc.) shared by the plurality of vehicle operators. Vehicle sensor data (e.g., speed data, acceleration data, braking data, cornering data, following distance data, turn signal data, seatbelt use data, etc.) associated with each of the plurality of vehicle operators of the driver risk group may be analyzed. Based on the analysis of the vehicle sensor data, one or more indicia of safe driving behavior associated with the driver risk group may be identified. In response to a third-party query regarding a vehicle operator in the driver risk group, an indication of the safe driving behavior associated with the driver risk group may be provided to the third party.

Abstract: Autonomous vehicles may be dynamically directed to rendezvous with autonomous vehicle trains or convoys. Current location and/or route information of the Autonomous Vehicle Train (AVT) may be received by an autonomous vehicle. The autonomous vehicle may compare its current location and/or route information to determine a rendezvous point with the AVT. The autonomous vehicle may route itself to the rendezvous point with the AVT. Once there, the autonomous vehicle may verify the identification of the AVT, such as by using sensors/cameras to verifying a lead vehicle of the AVT (e.g., by verifying make/model, color, and/or license plate). The autonomous vehicle and lead vehicle may communicate to allow the autonomous vehicle to join the AVT. A minimum level of autonomous vehicle functionality may be verified prior to the autonomous vehicle being allowed to join the AVT. As a result, vehicle traffic flow and travel experience by passengers may be enhanced.

Abstract: Systems and methods for providing continuous safe-driver training safely are provided. A safe-driving challenge may be presented to an operator of a vehicle. Data captured by sensors associated with the vehicle may be analyzed to determine whether the operator of the vehicle has completed the safe-driving challenge. Based on a determination that the operator of the vehicle has completed the safe-driving challenge, a notification may be provided to the operator (e.g., indicating to the operator that he or she has successfully completed the challenge). A processor may randomly select whether a reward is to be provided to the operator of the vehicle based on the determination that the operator of the vehicle has completed the safe-driving challenge. Moreover, if a reward is to be provided to the operator of the vehicle, a processor may randomly select a type of reward to be provided to the operator of the vehicle.

Abstract: A system for displaying contextually-sensitive braking information on a surface of a vehicle is presented. The system may include a transceiver, one or more memories, an electronic display disposed on the surface, and one or more processors. The one or more processors may be configured to detect a braking event of the vehicle, wherein the braking event has an associated braking force. The one or more processors may compare the braking force to a predetermined threshold braking force to determine whether the braking force exceeds the threshold braking force. The one or more processors may further cause the electronic display to display a braking indication having an intensity that is proportional to the braking force, wherein the braking indication may include a braking rationale corresponding to the braking event in response to determining that the braking force exceeds the threshold braking force.

Abstract: A smart ring charging system comprises a charging source integrated into an object, the object configured to be held by a user wearing a smart ring. The smart ring may include a ring-shaped housing and a power source disposed within or at the ring-shaped housing and configured to receive energy from the charging source while the user is wearing the smart ring and holding the object. A controller may be disposed within or at the ring-shaped housing, or at the object with the charger and configured to estimate a charging rate at which the power source receives the energy from the charging source. The system may further include one or more indicators configured to indicate the charging rate.

Abstract: Methods and systems for improving vehicular safety by utilizing uplift modeling techniques to improve a driving tip treatment generation model are provided. According to embodiments, a tip server can analyze telematics data associated with operation of one or more vehicles to determine that a driving tip should be provided to a driver of a vehicle. The tip server then utilize a treatment generation model to determine a treatment for how to provide the driving tip in a manner optimized for the particular driver. The tip server can analyze additional telematics data to determine an effectiveness of the driving tip and to update the treatment generation model in accordance with uplift modeling techniques.

Abstract: A method and system is provided for identifying local businesses visited by a user. Location and movement data for a user is analyzed to identify points of interest (POIs) visited by a user, and POIs which were not visited while the user travelled to the visited POIs. The POIs are categorized as corresponding to local businesses or national/global businesses, and local business metrics are generated according to frequencies in which the user visits local businesses and/or passes over national/global businesses in favor of local businesses. Then the local business metrics are presented on the user's client computing device along with a heat map indicating frequencies in which the user visited businesses within a geographic area, and/or a cool map indicating frequencies in which the user passed by businesses within the geographic area.

Abstract: Systems and methods of automatically controlling a user's data footprint are provided. Data associated with a user may be analyzed to determine an action the user is preparing to take. Based on the analysis, a potential risk associated with the action the user is preparing to take may be identified. The potential risk associated with the action the user is preparing to take may be, for example, a data security risk, a data privacy risk, a physical risk, a risk of damage to property, and/or a financial risk. A notification indicating the potential risk associated with the action the user is preparing to take may be provided to the user. The notification may include one or more suggestions for mitigating the potential risk associated with the action the user is preparing to take.

Abstract: An electronic device for providing incentive-based messages on a surface of a vehicle is presented. The device comprises a transceiver; one or more memories; and one or more processors interfacing with the transceiver, the one or more memories, and the electronic display. The one or more processors is configured to obtain a set of vehicle profile data corresponding to the vehicle, and determine a set of user devices configured to receive a notification corresponding to an incentive-based message. The processors also determine an incentive-based message based at least in part upon the vehicle profile data and the set of user devices, and transmit the incentive-based message to the vehicle and the notification to the set of user devices. The processors also cause an electronic display disposed on the surface to display the incentive-based message for viewing by a set of individuals associated with the set of user devices.

Abstract: A data structure representing the state of courier assignments is described. For each courier assignment, the data structure contains: information identifying a destination location for the courier assignment; information identifying a drop-off protocol specified for the courier assignment, the drop-off protocol specifying a sequence of steps; and, for each of at least some of the steps of the identified drop-off protocol, a representation of compliance evidence collected with respect to the step of the courier assignment. The contents of the data structure are usable to present collected compliance evidence for steps of the drop-off protocol specified for courier assignments among the plurality of courier assignments, either contemporaneously or at later times.

Abstract: Autonomous vehicles may be dynamically directed to rendezvous with autonomous vehicle trains or convoys. Current location and/or route information of the Autonomous Vehicle Train (AVT) may be received by an autonomous vehicle. The autonomous vehicle may compare its current location and/or route information to determine a rendezvous point with the AVT. The autonomous vehicle may route itself to the rendezvous point with the AVT. Once there, the autonomous vehicle may verify the identification of the AVT, such as by using sensors/cameras to verify a lead vehicle of the AVT (e.g., by verifying make/model, color, and/or license plate). The autonomous vehicle and lead vehicle may communicate to allow the autonomous vehicle to join the AVT. A minimum level of autonomous vehicle functionality may be verified prior to the autonomous vehicle being allowed to join the AVT. As a result, vehicle traffic flow and travel experience by passengers may be enhanced.

Abstract: A system for displaying contextually-sensitive braking information on a surface of a vehicle is presented. The system may include a transceiver, one or more memories, an electronic display disposed on the surface, and one or more processors. The one or more processors may be configured to detect a braking event of the vehicle, wherein the braking event has an associated braking force. The one or more processors may compare the braking force to a predetermined threshold braking force to determine whether the braking force exceeds the threshold braking force. The one or more processors may further cause the electronic display to display a braking indication having an intensity that is proportional to the braking force, wherein the braking indication may include a braking rationale corresponding to the braking event in response to determining that the braking force exceeds the threshold braking force.

Abstract: A video analytics based image verification system for obtaining initial vehicle profiles is presented. The system may include an external processing server that receives a location of a vehicle and proximate traffic information to determine whether it is safe for a user to obtain an initial vehicle profile. The external processing server may further determine first and second profile features from video data indicative of the vehicle. The external processing server may compare the second profile feature to an image verification indicator to generate an image verification score. A provider server may receive the first profile feature and the image verification score from the external processing server, and update a risk evaluation to include the initial vehicle profile if the image verification score is above an image verification threshold.

Abstract: Systems and methods of generating scenic routes and safe parking locations near scenic points are provided. Based at least in part upon a driver indication of a preference for a scenic route from an origin location to a destination location, a mobile device application may generate a scenic route by selecting route segments between the origin location and the destination location associated with a large number of scenic points. Scenic points may be identified based at least in part upon historical driver telemetry data and POI data. For instance, if historical telemetry data indicates that a large number of drivers stop briefly at a location not known to be near a POI, that location may be a scenic location (e.g., a location where drivers frequently leave their vehicles to take photos). Additionally, safe parking locations near each scenic point may be identified based at least in part upon historical vehicle damage data, and navigation directions to safe parking locations may be provided.

Abstract: Systems and methods for analyzing documentation for assessing potential fraudulent user submissions are provided. According to certain aspects, a server computer may receive an initial set of documentation descriptive of damage to a property asset, and may analyze the initial set of documentation to determine whether additional documentation is needed. The server computer may initiate a communication channel with a user device via which the additional documentation may be submitted, and the server computer may similarly analyze the additional documentation to determine a likelihood of fraud. The server computer may process the user submission accordingly.

Abstract: Methods and systems for improving vehicular safety by utilizing uplift modeling techniques to improve a driving tip treatment generation model are provided. According to embodiments, a tip server can analyze telematics data associated with operation of one or more vehicles to determine that a driving tip should be provided to a driver of a vehicle. The tip server then utilize a treatment generation model to determine a treatment for how to provide the driving tip in a manner optimized for the particular driver. The tip server can analyze additional telematics data to determine an effectiveness of the driving tip and to update the treatment generation model in accordance with uplift modeling techniques.