Abstract: A system for analyzing wireless telematics data to determine that a vehicle is engaged in an extended period of travel and prompt additional devices within the vehicle regarding the extended period of travel. The system may comprise a telematics server and a plurality of mobile applications to be implemented on a plurality of telematics devices belonging to a plurality of users. The plurality of telematics devices transmit telematics data to the telematics server. The data is analyzed and the telematics server transmits an indication to the telematics devices, causing the mobile applications to execute in a driver application mode or passenger application mode. Messages containing notifications to change drivers or pull over are sent to the telematics devices.

Abstract: The described methods and systems decrease instances of distracted driving, encourage more frequent use of vehicle tracking services, and generally improve the risk profile of a driver and vehicle. These benefits are achieved by way of a vehicle computer system that incentivizes users to place mobile devices in a do-not-disturb (DND) mode and to activate vehicle tracking services. The vehicle computer system encourages these behaviors by enabling content delivery for devices within the vehicle based on the status of the mobile device(s) and the status of the vehicle tracking service(s). Specifically, the content delivery may comprise data for providing a gamified user interface within the vehicle.

Abstract: The current disclosure relates to a system and method for secured screen sharing. A specially configured screen sharing server of the system may facilitate screen sharing between two independent and remote devices. The system may be configured to access state information from a primary client device. The system may then determine if any of the elements of the application state primary client interface correspond to sensitive information. The system may then mask the primary client interface to create a replica client interface by masking any elements of the application state that correspond to sensitive information. The system may then cause the replica client device to display the replica client interface by transmitting the application state to the replica client interface.

Abstract: A telematics analysis (TA) computing device including a processor in communication with a memory device for monitoring driving behavior of a driver of a vehicle may be provided.

Abstract: The present embodiments may relate to determining an actual driver of a vehicle based upon telematics data. For instance, a driver identification (DI) computing device may be configured to: (1) receive a first plurality of measurements captured at a first user device during a trip taken by a vehicle; (2) receive a second plurality of measurements captured at a second user device during the trip; (3) determine, based upon the measurements, that the user devices are within the vehicle during the trip; (4) calculate a respective enhanced geographic location measurement for each of the measurements based upon the measurements; (5) determine, based upon the enhanced geographic location measurements, a predicted position of the second user device relative to the first user device; and (6) identify, from among the user devices, a driver user device based upon the predicted position of the second user device relative to the first user device.

Abstract: Systems and methods of visualizing predicted driving risk are provided herein. Vehicle sensor data associated with a vehicle operator may be analyzed. Based on the analysis of the vehicle sensor data, one or more vehicle operation risks associated with the vehicle operator may be predicted. Each vehicle operation risk may be associated with a portion of a vehicle associated with the vehicle operator. Additionally, each vehicle operation risk may be assigned a priority level, e.g., based on predicted likelihood of occurrence, predicted danger to the vehicle operator, predicted damage to the vehicle, etc. A display overview of the vehicle may be presented to the vehicle operator. In the display overview of the vehicle portions of the vehicle associated with each of the predicted vehicle operation risks may be highlighted. The portions may be highlighted differently (using different colors, heavier/lighter shading, etc.) based on the priority level of their associated risks.

Abstract: A system and method for analyzing risk and providing risk mitigation instructions. The system receives analyzes sensor data and other data corresponding to a user to determine a test group. The system uses the test group to determine a risk score, and, subsequently, a risk mitigation strategy. Machine learning techniques are implemented to refine how the test group, risk score, and mitigation are each selected.

Abstract: Techniques are disclosed for objectively assessing the driving performance of rideshare drivers and/or vehicles. The techniques include collecting data from various sources to aggregate trip data for several drivers and passengers over several ridesharing trips. This data may include telematics data collected from several passengers and/or drivers during each of their respective ridesharing trips, which indicates various aspects associated with operation of the vehicle. Each driver may then be correlated to his own set of trip data, such that a driving assessment may be made for each individual driver. When a new user subsequently requests a ride via a ridesharing provider, this driver assessment may be made available to the user, thereby providing the user with an objective assessment of the driver prior to the start of the scheduled ride.

Abstract: A user computing device for identifying a driver of a vehicle on a trip is provided. The user computing device is associated with a first vehicle occupant, and is programmed to: (i) detect a second user computing device associated with a second vehicle occupant, (ii) initiate a ping exchange process including emitting a set of non-audible sonic ping signals and detecting a set of signals from the second user computing device over a duration of the trip, (iii) generate a relative positioning map of the user computing device with respect to the second user computing device, (iv) determine that the first vehicle occupant is one of a driver and a passenger of the vehicle, and (v) transmit, to a driver identification (“DI”) server, a trip report including the determination and the generated relative positioning map.

Abstract: Systems and Methods of the current disclosure may provide customized webpages. A client device of the system may retrieve a profile corresponding to a user. The client device may further receive a deck including a set of packs, with each pack including a set of cards. As defined herein, a deck corresponds to a workflow (i.e., a series of webpages), while each pack includes context specific user-interface elements which make up a webpage. Further, a card may correspond to one or more elements of the webpage. The client device renders and displays webpages locally by selecting elements to be displayed on the webpage based on a details corresponding to a user of the client device. In other words, the client device creates webpages by selecting one or more cards for each pack of the deck based on details indicated in the profile.

Abstract: A device for validating authorization key obfuscation in a continuous integration (CI) pipeline codebase is presented. The device comprises a transceiver, one or more memories, and one or more processors interfacing with the transceiver and the one or more memories. The one or more processors are configured to receive an update to the CI pipeline codebase. The update may include an authorization key, which the one or more processors store in the one or more memories. The one or more processors may perform a build process to integrate the update into the CI pipeline codebase. The build process may include an obfuscation, which creates an obfuscated CI pipeline codebase. The one or more processors may also scan the obfuscated CI pipeline codebase to determine a presence or an absence of the authorization key.

Abstract: Telematics systems and methods are described for generating interactive animated guided user interfaces (GUIs). A telematics cloud platform is configured to receive vehicular telematics data from a telematics device onboard a vehicle. A GUI value compression component determines, based on the vehicular telematics data, a plurality of GUI position values and a plurality of corresponding GUI time values. A geospatial animation app receives the plurality of GUI position values and the plurality of corresponding GUI time values. The geospatial animation app implements an interactive animated GUI that renders a plurality of geospatial graphics or graphical routes on a geographic area map via a display device. The geospatial graphics or graphical routes are rendered to have different visual forms based on differences between respective GUI position values and corresponding GUI time values.

Abstract: Systems and methods of efficient carpooling based on driver risk groups are provided. Vehicle operators may be classified into a carpooling group based on vehicle routes associated with each of the vehicle operators. Vehicle sensor data associated with each vehicle operator of the carpooling group may be analyzed. Based on the analysis of the vehicle sensor data, one or more indicia of safe driving behaviors associated with each vehicle operator of the carpooling group may be identified. The safe driving behaviors associated with each vehicle operator of the carpooling group may be compared. Based on the comparison, a vehicle operator of the carpooling group may be selected as a driver for a carpool. For example, the safest vehicle operator of the carpooling group may be selected as the driver for the carpool. The carpool may include one or more of the other vehicle operators of the carpooling group as passengers.

Abstract: Systems and methods of incentivizing the use of a safety device while operating a vehicle are provided. Data captured by sensors associated with a safety device may be analyzed to identify instances in which the safety device is used by an operator of a vehicle. Additionally, data captured by sensors associated with the vehicle may be analyzed to identify instances in which the vehicle is in motion. By comparing the instances in which the safety device is used by the operator of the vehicle to the instances in which the vehicle is in motion, instances in which the operator of the vehicle uses the safety device while operating the vehicle may be determined. Furthermore, a trend of the operator of the vehicle using the safety device while operating the vehicle may be identified. A notification related to the identified trend may be provided to the operator of the vehicle.

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: Systems and methods for assessing accident events are disclosed According to certain aspects, an electronic device may access sensor data associated with operation of a vehicle, and analyze the sensor data to determine that an accident event has occurred. In response, the electronic device may dynamically and automatically retrieve additional sensor data from at least one additional electronic device via a short range communication. The electronic device may compile or aggregate the additional sensor data with the original sensor data to provide a thorough representation of the accident event.

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: Systems and methods for using collecting and analyzing device sensor data to determine whether an individual is an operator or a passenger of a vehicle are disclosed. According to certain aspects, an electronic device associated with the individual may collect or access sensor data that is indicative of or associated with an operation of the vehicle. The electronic device may transmit pertinent portion(s) of the sensor data to a backend server, which may input the portion(s) into a neural network for analysis. The neural network may output a probability metric(s) indicative of whether the individual is a passenger or an operator of the vehicle.

Abstract: A method of utilizing opportunity gain for personal enrichment of a user including receiving a selection of a personal enrichment goal (e.g., buying a vehicle or home, traveling, saving for retirement). The method also includes monitoring a routine of the user that includes an activity (e.g., daily commute, shopping, eating habits), and an amount of the personal commodity (e.g., money) is used when the user performs the activity. An average amount of the personal commodity used to perform the activity in the past is determined, and an excess amount of the personal commodity generated when the user deviates from the routine is determined. The excess amount of the personal commodity is determined as a function of the average amount and the amount of the personal commodity. The user may be notified that the excess amount of the personal commodity may be applied to achievement of the personal enrichment goal.

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.