Abstract: A method of driver behavior that includes generating, by a mobile device located inside a vehicle, telematics data associated with operation of the vehicle, and transmitting, from the mobile device to one or more processors via wireless communication, the telematics data in real-time. The method also includes analyzing the telematics data to determine whether a driving score for a driver, determining whether the driving score is greater than a threshold value, determining a discount based upon the driving score being higher than the threshold, and generating a communication based upon the discount. The method further includes transmitting the communication.

Abstract: A computer system is provided and is programmed to: (1) receive sensor data associated with a primary vehicle; (2) determine a current condition of a driver of the primary vehicle based upon the sensor data of the primary vehicle; (3) determine a threat level for the primary vehicle based upon the current condition of the driver of the primary vehicle and the sensor data of the primary vehicle; (4) activate at least one action in the primary vehicle based upon the threat level for the primary vehicle; and/or (5) electronically transmit the threat level of the primary vehicle to one or more additional vehicles.

Abstract: In system and methods for pre-generating insurance claims, accident data associated with a vehicle accident involving a driver may be collected. The accident data may be analyzed, and a likely severity of the vehicle accident may be determined based upon the analysis of the accident data. An estimated insurance claim may be generated based upon the determined likely severity of the vehicle accident, and transmitted, via wireless communication, from one or more remote servers to a mobile device associated with the driver to facilitate presenting all, or a portion of, the estimated insurance claim to the driver or the insured. A wireless communication from the driver or insured indicating approval, rejection or modification of the estimated insurance claim may be received. The estimated insurance claim may be handled in accordance with the approval, rejection or modification.

Abstract: A method of vehicle accident response includes generating, by a mobile device located inside a vehicle, telematics data associated with operation of the vehicle, and transmitting, from the mobile device to one or more processors via wireless communication, the telematics data. The method also includes analyzing the telematics data to determine that an accident involving the vehicle has occurred, analyzing the telematics data to determine a likelihood of injury due to the accident, and generating a communication (i) based upon the telematics data and the likelihood of injury and (ii) in response to determining that the accident has occurred. The method further includes transmitting, to the mobile device, the communication.

Abstract: A modular light emitting (LED) display includes a plurality of display modules each having uniform columns and rows of pixels. The pixels include light emitters that are shaped, sized and arranged to minimize pixel and sub-pixel gaps and to provide a seamless look between adjacent display modules. The substrate may include light manipulators, such as filters, light converters and the like to manipulate the light emitted.

Abstract: In system and methods for loss mitigation, accident data associated with a vehicle accident involving a driver may be collected. The accident data may be analyzed, and a likely severity of the vehicle accident may be determined based upon the analysis of the accident data. A communication related to emergency assistance or an emergency assistance recommendation may be generated based upon the determined likely severity of the vehicle accident, and transmitted, via wireless communication, from one or more remote servers to a mobile device associated with the driver. A wireless communication from the driver indicating approval or modification of the emergency assistance or emergency assistance recommendation may be received. A third party may be notified, via a communication sent from the remote server(s), of requested emergency assistance as approved or modified by the driver. An estimated insurance claim may also be generated based upon vehicle accident likely severity.

Abstract: A display includes a plurality of pixel chips, chixels, provided on a substrate. The chixels and the light emitters thereon may be shaped, sized and arranged to minimize chixel, pixel, and sub-pixel gaps and to provide a seamless look between adjacent display modules. The substrate may include light manipulators, such as filters, light converters and the like to manipulate the light emitted from light emitters of the chixels. The light manipulators may be arranged to minimize chixel gaps between adjacent chixels.

Abstract: A system and computer-implemented method detect and act upon deactivated vehicle components. The system and method include receiving measurements data associated with driving activity. The measurements data includes an indication that at least one feature of an Advanced Driver Assistance System (ADAS) of a vehicle has been deactivated for a driving activity. The system and method may include receiving historical driving data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the measurements data to the historical driving data, determine a likelihood level that the feature of the ADAS would have provided the alert had the feature been activated based upon the comparing, and set, based at least upon the determining, at least a portion of an operator profile associated with an operator of the vehicle with the likelihood level.

Abstract: Systems and methods relating to usage of multimodal transportation systems are disclosed. Such systems and methods may identify available local transportation modes for a user, such as vehicle-sharing, ridesharing, rental vehicles, taxicabs, owned vehicles, or public transit options. The available transportation modes may be compared, and recommendations may be presented to the user. Routes may be identified, compared, or recommended to a user, and scheduling or ticket purchasing may be facilitated. With user permission, user transportation data may be collected via a smartphone to identify user transportation patterns and preferences, thereby improving recommendations regarding and assessment of user transportation. Information regarding risks or other relevant factors associated with various transportation modes may be assessed for a user based upon typical characteristics of user transportation choices over a plurality of transportation scenarios, which may be indicated by a user transportation profile.

Abstract: A system and computer-implemented method detect and act upon operator reliance to vehicle alerts. The system and method include receiving user profile data of an operator that includes a baseline of at least one driving activity aided by activation of an alert from a feature of an Advanced Driver Assistance System (ADAS). The system and method may include receiving historical ADAS alert frequency data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the user profile data with the historical ADAS alert frequency data, determine a reliance level based upon the comparing, and set at least a portion of an operator profile associated with the operator with the reliance level. As a result, a risk averse driver, and/or proper responsiveness to vehicle alerts may be rewarded with insurance-cost savings, such as increased discounts.

Abstract: A transportation analytics (TA) computing device may be provided. The TA computing device may include at least one processor and/or associated transceiver. The at least one processor and/or associated transceiver may be configured to: (1) receive, from a user mobile device, telematics data including an indicator that the user mobile device is communicatively linked to a transportation device; (2) identify each period that the user mobile device is communicatively linked to a transportation device as a trip using the transportation device; (3) store, the telematics data in a database in association with a trip identifier corresponding to the identified trips and a time stamp; (4) perform a lookup in the database to identify, based upon the timestamps, telematics data corresponding to a time period; and/or (5) calculate, based upon the identified telematics data, a premium amount for insuring the user during the trips taken during the time period.

Abstract: Disclosed are embodiments of display modules, assemblies of display modules, and systems of display modules. Display modules have a plurality of light emitting elements arranged in a predetermined pattern and providing a highly uniform visual effect. Alignment and complementary alignment features enable the alignment of adjacent display modules and the creation of large displays from a plurality of aligned display modules. Features to grip and retain a support frame are provided. Modules and systems have features that permit installation and removal from the front side of the display. A system of modular support frames works cooperatively with the display modules, adapting to different mounting environments, and thereby providing large modular displays with desirable properties.

Abstract: A transportation analytics (TA) computing device may be provided. The TA computing device may include at least one processor in communication with at least one memory device. The at least one processor may be configured to: (1) receive, from a user mobile device corresponding to a user, telematics data corresponding to a trip taken using a transportation platform; (2) store, for each trip, the telematics data in a database in association with a trip identifier and a timestamp; (3) perform a lookup in the database to identify, based upon the timestamps, telematics data corresponding to a time period; (4) calculate, in response to identifying the telematics data, based upon the identified telematics data, a premium amount; and/or (5) transfer, in response to calculating the premium amount, the premium amount from a transportation platform account associated with the transportation platform to an insurer account associated with an insurer.

Abstract: A system and computer-implemented method detect and act upon operator reliance to vehicle alerts. The system and method include receiving user profile data of an operator that includes a baseline of at least one driving activity aided by activation of an alert from a feature of an Advanced Driver Assistance System (ADAS). The system and method may include receiving historical ADAS alert frequency data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the user profile data with the historical ADAS alert frequency data, determine a reliance level based upon the comparing, and set at least a portion of an operator profile associated with the operator with the reliance level. As a result, a risk averse driver, and/or proper responsiveness to vehicle alerts may be rewarded with insurance-cost savings, such as increased discounts.

Abstract: A transportation analytics (TA) computing device may be provided. The TA computing device may include at least one processor and/or associated transceiver. The at least one processor and/or associated transceiver may be configured to: (1) receive, from a user mobile device, telematics data including an indicator that the user mobile device is communicatively linked to a transportation device; (2) identify each period that the user mobile device is communicatively linked to a transportation device as a trip using the transportation device; (3) store, the telematics data in a database in association with a trip identifier corresponding to the identified trips and a time stamp; (4) perform a lookup in the database to identify, based upon the timestamps, telematics data corresponding to a time period; and/or (5) calculate, based upon the identified telematics data, a premium amount for insuring the user during the trips taken during the time period.

Abstract: In system and methods for pre-generating insurance claims, accident data associated with a vehicle accident involving a driver may be collected. The accident data may be analyzed, and a likely severity of the vehicle accident may be determined based upon the analysis of the accident data. An estimated insurance claim may be generated based upon the determined likely severity of the vehicle accident, and transmitted, via wireless communication, from one or more remote servers to a mobile device associated with the driver to facilitate presenting all, or a portion of, the estimated insurance claim to the driver or the insured. A wireless communication from the driver or insured indicating approval, rejection or modification of the estimated insurance claim may be received. The estimated insurance claim may be handled in accordance with the approval, rejection or modification.

Abstract: A transportation analytics (TA) computing device may be provided. The TA computing device may include at least one processor in communication with at least one memory device. The at least one processor may be configured to: (1) receive, from a user mobile device corresponding to a user, telematics data corresponding to a trip taken using a transportation platform; (2) store, for each trip, the telematics data in a database in association with a trip identifier and a timestamp; (3) perform a lookup in the database to identify, based upon the timestamps, telematics data corresponding to a time period; (4) calculate, in response to identifying the telematics data, based upon the identified telematics data, a premium amount; and/or (5) transfer, in response to calculating the premium amount, the premium amount from a transportation platform account associated with the transportation platform to an insurer account associated with an insurer.

Abstract: Disclosed are embodiments of display modules, assemblies of display modules, and systems of display modules. Display modules have a plurality of light emitting elements arranged in a predetermined pattern and providing a highly uniform visual effect. Alignment and complementary alignment features enable the alignment of adjacent display modules and the creation of large displays from a plurality of aligned display modules. Features to grip and retain a support frame are provided. Modules and systems have features that permit installation and removal from the front side of the display. A system of modular support frames works cooperatively with the display modules, adapting to different mounting environments, and thereby providing large modular displays with desirable properties.

Abstract: Embodiments of extended reality (XR) methods and systems for processing vehicle-related insurance claims are disclosed. In one embodiment, a computer-implemented method may include: (i) obtaining, using one or more XR devices, first data representing insured party XR preferences, and second data related to a damage-causing event for a vehicle; (ii) creating, using one or more processors and based upon the second data, a virtual reconstruction of the damage-causing event; and/or (iii) presenting, in a virtualized environment in accordance with the XR preferences via an XR device, the virtual reconstruction such that the insured party or an insurance representative may view, alter, and/or approve the virtual reconstruction.

Abstract: Embodiments of extended reality (XR) methods and systems for handling home-related information are disclosed. In one embodiment, a computer-implemented method may include (1) obtaining one or more XR preferences for a party; (2) presenting, using one or more devices associated with the party instructions constructed to guide the party to move throughout or around a real property, and prompts constructed to direct the party to capture data representing one or more of the real property or belongings; (3) determining, by one or more processors processing the captured data, asset data representing one or more of the real property or the belongings; and/or (4) presenting, in a virtualized environment in accordance with the party's XR preferences via an XR device, one or more visual depictions of the determined asset data such that the party or an insurance representative can at least one of view, modify, or approve the asset data.