Abstract: A computer-implemented method can include receiving a first set of telematics data collected by one or more sensors associated with a vehicle of a user. The computer-implemented method can also include determining a driving tip to be provided to the user based at least on the first set of telematics data. The computer-implemented method can further include generating a treatment for providing the driving tip to the user. The computer-implemented method can additionally include providing the driving tip to the user in accordance with the treatment. The computer-implemented method can also include receiving a second set of telematics data collected by the one or more sensors after providing the driving tip. The computer-implemented method can further include determining whether the user complied with the driving tip based at least on the second set of telematics data. The computer-implemented method can additionally include updating the machine learning model. Other embodiments are described.

Abstract: A computer-implemented method can include receiving, from one or more sensors, operation data associated with operation of a vehicle. The computer-implemented method can also include updating one or more operation ratings based upon at least a portion of the operation data. The computer-implemented method can further include processing, based at least on the one or more operation ratings, as updated, one or more virtual movements simulating a performance level of the one or more operation ratings for a virtual vehicle to undertake in a virtual trip, wherein the performance level is a metric associated with at least one updated operation ratings. The computer-implemented method can additionally include transmitting for displaying, in a user interface, visual data indicative of a summary of the virtual trip based on the one or more virtual movements, wherein the summary comprises at least a score associated with the virtual trip. Other embodiments are described.

Abstract: A computer-implemented method for predicting fuel consumption efficiency. The method can include receiving vehicle telematics data from a client device. The method can also include analyzing historical trip data including past commute patterns and vehicle route data based on the vehicle telematics data. The method can further include analyzing, using a trained machine learning model, the vehicle telematics data to determine one or more past user driving features. The method can additional include receiving at least one of traffic congestion information, terrain information, or weather condition information for one or more future vehicle trips. The method can also include predicting, using the trained machine learning model, a future fuel consumption efficiency of the user during a predetermined future period of time. The method can further include transmitting the future fuel consumption efficiency, as predicted, for one or more routes to the client device for display. Other embodiments are described.

Abstract: A computer-implemented method can include: receiving, by a computing device, driving data of a vehicle indicative of a driving automation system (DAS) operating the vehicle; receiving, by the computing device, historical system DAS rating data for a vehicle type of the vehicle; analyzing, by the computing device, a historical DAS score associated with the vehicle type with a DAS score for the vehicle to calculate a DAS rating for the vehicle; and adjusting, by the computing device, the DAS operation of the vehicle based upon the DAS rating for the vehicle. Other embodiments are described.

Abstract: A charging system can include a housing. The housing can include an inner surface. The housing also can include an internal power source. The housing further can include a component configured to draw energy from the internal power source. The charging system also can include a charging source. The charging source can include first and second features at different locations of the charging source. The first and the second features can guide a removable coupling of the inner surface of the housing with the charging source. The charging source can charge the internal power source when the inner surface of the housing is removably coupled with the charging source. Other embodiments are disclosed.

Abstract: A computer-implemented method of modeling a vehicle in a virtual environment includes receiving one or more operation characteristics of the vehicle. The method also includes receiving operation data associated with operation of the vehicle and updating the one or more operation characteristics based upon at least a portion of the operation data. The method further includes processing one or more virtual movements for a virtual vehicle to undertake in a virtual trip and transmitting for displaying, in a user interface, the virtual trip for the virtual vehicle based on the one or more virtual movements. Other embodiments are disclosed.

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: Method and system for predicting fuel consumption efficiency. For example, the method includes collecting past user driving data for one or more past vehicle trips that have already been made by a user, analyzing the past user driving data to determine one or more past user driving features related to a past fuel consumption efficiency of the user, collecting information for one or more future vehicle trips that will be made by the user during a predetermined future period of time, and predicting a future fuel consumption efficiency of the user during the predetermined future period of time based at least in part upon the information for the one or more future vehicle trips and the determined one or more past user driving features.

Abstract: A ring includes a controller. The ring can also include a power source configured to power the controller. The ring further can include a charging unit. The charging unit can be configured to convert a first form of energy into a second form of energy. The charging unit also can be coupled to the power source to provide the second form of energy to the power source. The controller can execute instructions to control operation of a user interface. Other embodiments are disclosed.

Abstract: A charging system can include a housing. The housing can include a controller. The housing also can include a power source configured to power the controller. The charging system also can include a wireless charger configured to transfer energy to the power source. The wireless charger can include a first non-flashing visual output at a first brightness. The wireless charger also can include a second non-flashing visual output at a second brightness. Other embodiments are disclosed.

Abstract: A charging system can include a housing. The housing can include an inner surface. The housing also can include an internal power source. The housing further can include a component configured to draw energy from the internal power source. The charging system also can include a removable charging source. The removable charging source can be removably coupled to the housing. The removable charging source can include first and second registration structures at different locations of a perimeter of a portion of the removable charging source. The first and second registration structures can align the inner surface of the housing with the removable charging source. Other embodiments are disclosed.

Abstract: A charging system can include a housing. The housing can include a controller. The housing also can include a power source configured to power the controller. The charging system also can include a wireless charger configured to transfer energy to the power source. The wireless charger can include a first indicator. The first indicator can be configured to provide a first non-flashing visual output at a first brightness level and indicative of a first charging status of the power source. The first indicator also can be configured to provide a second non-flashing visual output at a second brightness level indicative of a second charging status of the power source. Other embodiments are disclosed.

Abstract: A computer-implemented method implemented by one or more processors for assessing accident events, the computer-implemented method including: determining, based on first sensor data captured by one or more first sensors associated with a first vehicle, that an accident event occurred; and after determining that the accident event occurred: sending, to an electronic device associated with a second vehicle, a request for second sensor data captured by one or more second sensors of the electronic device associated with the second vehicle; receiving, from the electronic device, the second sensor data; analyzing the second sensor data to determine that the second sensor data is related to the accident event; and aggregating the first sensor data with the second sensor data. Other embodiments are described.

Abstract: A charging system can include a housing. The housing can include an inner surface. The housing also can include an internal power source. The housing further can include a component configured to draw energy from the internal power source. The charging system also can include a removable charging source. The removable charging source can be removably coupled to the housing. The removable charging source can include first and second registration structures at different locations of a perimeter of a portion of the removable charging source. The first and second registration structures can align the inner surface of the housing with the removable charging source. Other embodiments are disclosed.

Abstract: A charging system can include a housing. The housing can include a controller. The housing also can include a power source configured to power the controller. The charging system also can include a wireless charger configured to transfer energy to the power source. The wireless charger can include a first indicator. The first indicator can be configured to provide a first non-flashing visual output at a first brightness level and indicative of a first charging status of the power source. The first indicator also can be configured to provide a second non-flashing visual output at a second brightness level indicative of a second charging status of the power source. Other embodiments are disclosed.

Abstract: A smart ring includes a housing. The smart ring also can include a power source disposed within or at the housing. The power source can be configured to receive energy. The smart ring can further include a controller disposed within or at the housing. The power source also can be configured to power the controller. The controller can be configured to estimate a charging status for the power source. The controller also can be configured to generate information to indicate the charging status. Other embodiments are disclosed.

Abstract: Method and system for selecting a vehicle route. For example, the method includes collecting information for a future vehicle trip that will be made by a user, generating multiple routes for the same future vehicle trip, predicting an amount of fuel consumption for each of the multiple routes based at least in part upon information for the route and user driving features of the user, and selecting a route from the multiple routes based at least in part upon the amounts of fuel consumption predicted for the user, where the selected route corresponds to a least amount among the amounts of fuel consumption predicted for the user.

Abstract: A ring includes a controller. The ring can also include a power source configured to power the controller. The ring further can include a charging unit. The charging unit can be configured to convert a first form of energy into a second form of energy. The charging unit also can be coupled to the power source to provide the second form of energy to the power source. The controller can execute instructions to control operation of a user interface. Other embodiments are disclosed.

Abstract: A computer-implemented method can include, identifying a subset of drivers from among a group of other drivers. The computer-implemented method can also include, receiving a first set of telematics data associated with a vehicle operated by a driver and a second set of telematics data associated with a group of other vehicles operated by the subset of drivers from among the group of other drivers. The computer-implemented method can further include, ranking the driver and drivers of the subset of drivers by comparing the first set of telematics data and the second set of telematics data. The computer-implemented method can additionally include, transmitting for display on a graphical user interface of an electronic device of the driver, a ranking of the driver.

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.