Abstract: An example operation includes one or more of determining, by a vehicle, data preferences of one or more occupants in the vehicle, sending, by the vehicle, data to the one of more occupants, based on the determining, determining a reaction of the one or more occupants, responsive to the data being sent, and validating the data preferences of the one or more occupants, based on the determined reaction.

Abstract: An example operation includes one or more of analyzing, by sensors in a vehicle, objects in the vehicle related to at least one occupant, a physical condition of the at least one occupant, and spoken words of the at least one occupant, determining a destination of the vehicle, based on the analyzing, and modifying a feature of the vehicle, based on the determining.

Abstract: An example operation includes one or more of determining a feature is not utilized by an occupant of a first vehicle, offering the feature in a second vehicle when the occupant is associated with the second vehicle, determining that the feature was used in the second vehicle for a minimum period of time, and offering the feature in the first vehicle.

Abstract: An example operation includes one or more of accessing, by an application providing assistance to a vehicle, sensor data associated with an environment inside and outside of a vehicle and profile data associated with a vehicle occupant, determining, by the application, an initial condition of the vehicle occupant based on the sensor data and the profile data, responsive to the initial condition being above a health condition threshold, accessing, by the application, health data associated with the vehicle occupant from a mobile device, determining, by the application, an updated condition of the vehicle occupant based on the health data, creating, by the application, an alert to notify the occupant based on the updated condition and one or more current driving conditions of the vehicle identified by the sensor data, and performing, by the vehicle, one or more vehicle actions based on the alert and the one or more current driving conditions.

Abstract: An example operation includes one or more of establishing a communication between a first vehicle and a computing node, determining data to be transmitted from the computing node to the first vehicle responsive to a portion of the data being stored on a second vehicle, determining the second vehicle will be in proximity to the first vehicle, and transmitting the portion of the data from the second vehicle to the first vehicle when the vehicles are in proximity and a remaining portion of the data from the computing node to the first vehicle.

Abstract: An example operation includes one or more of receiving a first response, from an application associated with a vehicle, including one or more factual statements determined by the application based on a set of data, retrieving vehicle data from the vehicle related to the factual statements, parsing the first response into one or more portions of the one or more factual statements, comparing the one or more portions to other portions of other factual statements included in a first knowledgebase containing other factual statements, wherein the other factual statements are based on the vehicle data, and receiving a second response, from the application, including one or more amended factual statements based on the comparing.

Abstract: An example operation includes one or more of determining by a primary computing node that an en route vehicle will be delayed for a time-sensitive event, coordinating by the primary computing node with a secondary computing node at an event location and the en route vehicle to provide a real-time event experience to at least one device in the en route vehicle, managing by the primary computing node the real-time event experience between the secondary computing node and the at least one device in the en route vehicle, transferring by the primary computing node the real-time event experience to the secondary computing node when a device of the at least one device is in proximity to the secondary computing node, and terminating by the secondary computing node the real-time event experience when the at least one device reaches a specific location within the event location.

Abstract: An example operation includes one or more of determining, by a first node, that an event has occurred in a geographic area, predicting, by the first node, a severity of the event, a duration of the event, and at least one vehicle associated with the event, sending, by the first node, the prediction to a second node and a time the at least one vehicle will be proximate the second node, and sending by the second node, notifications to other vehicles proximate the second node to maneuver based on the prediction, prior to the time.

Abstract: An example operation includes one or more of monitoring, via a vehicle, a behavior of an occupant of the vehicle, responsive to the behavior being above a threshold, generating via an application of the vehicle, a first suggested action intended for the occupant based on the behavior and an amount the behavior is above the threshold, monitoring, by the vehicle, whether the first suggested action is being performed by the occupant, determining an alternate action is being performed by the occupant, generating a second suggested action based on the alternate action and the first suggested action, and providing a value to an occupant device associated with the occupant responsive to the second action being detected by the transport.

Abstract: An example operation includes one or more of determining data to be provided to a vehicle, determining data to be retrieved from the vehicle, determining a route for the vehicle based on an amount of time the data is provided to the vehicle and the data is retrieved from the vehicle, a speed of the vehicle, and a location of at least one computing node that is configured to provide and retrieve the data.

Abstract: An example operation includes one or more of identifying, via a vehicle application of a vehicle, one or more topics of interest associated with a vehicle occupant based one or more vehicle occupant behaviors detected by the vehicle, applying, via the vehicle application, one or more enhanced services to a device associated with vehicle occupant based on the one or more topics of interest and an occupant profile, and modifying, via the vehicle application, the one or more enhanced services based on the device location and changes to the one or more vehicle occupant behaviors.

Abstract: An example operation includes one or more of receiving information at a vehicle in proximity to a first node from the first node, sending information from the vehicle to the first node, analyzing the sent information by the first node, determining by the first node that the vehicle will be in proximity to an adjacent node to the first node, after the vehicle is no longer in proximity to the first node, receiving the analyzed information from the first node at the adjacent node, constructing information related to the received analyzed information at the adjacent node, and sending the constructed information to the vehicle from the adjacent node.

Abstract: An example operation includes one or more of determining, by a vehicle, that an occupant assist application is operating in the vehicle to assist a vehicle occupant during vehicle operation, determining, by the vehicle, that an unsafe driving condition is likely to occur via a monitoring application, prior to a time that the unsafe driving condition is expected to occur, ceasing, by the vehicle, the occupant assist application, and executing, by the vehicle, a driving assist application to assist with the vehicle operation during the unsafe driving condition.

Abstract: An example operation includes one or more of: determining an operating behavior of a first vehicle that is not part of a connected vehicle system from a device communicatively coupled to the first vehicle, wherein the device is configured to operate with the connected vehicle system; determining that the operating behavior is not associated with a second vehicle that is part of the connected vehicle system; and initiating the operating behavior in the second vehicle when the device is communicatively coupled to the second vehicle.

Abstract: A system for recommendations with respect to a vehicle includes network interface hardware communicatively coupled to one or more processors, and one or more memory modules to store machine-readable instructions communicatively coupled to the processors. The system receives vehicle data related to one or more of vehicle performance data, vehicle occupant data, or vehicle owner data. At least a portion of the vehicle data is generated by one or more vehicle sensors mounted to the vehicle. The one or more processors generates a first listing of a plurality of recommendations. The system determines current accessories or services on the vehicle and the first listing of the plurality of recommendations is modified to provide a tailored listing based on the determination. The system generates a communication including one or more recommendations from the tailored listing and sends the communication to a user interface device associated with the vehicle.

Abstract: Systems and methods for generating virtual environments including virtual vehicles are disclosed. In one embodiment, a method of presenting a virtual environment includes receiving vehicle sensor data from one or more vehicles in a physical environment rendering the virtual environment that represents the physical environment, rendering one or more virtual vehicle representations of the one or more vehicles using the vehicle sensor data such that movement of the one or more virtual vehicle representations within the virtual environment corresponds with movement of the one or more vehicles in the physical environment, and transmitting data for displaying the virtual environment and the one or more virtual vehicle representations to a plurality of display devices.

Abstract: An example operation includes one or more of determining that data stored on a vehicle is sensitive, removing the sensitive data from the vehicle, based on an amount of time until the data is needed to be accessed by the vehicle, and accessing the removed sensitive data, by the vehicle, at a time prior to an end of the amount of time.

Abstract: Systems and methods for generating and displaying virtual vehicle manufacturing environments are disclosed. In one embodiment, a method of presenting a virtual manufacturing environment includes receiving a vehicle identification number of a vehicle being manufactured, receiving one or more parts assigned to the vehicle, determining a stage of manufacturing for the vehicle based at least in part on the one or more parts, generating a virtual representation of the vehicle in a virtual manufacturing environment, and preparing for display the virtual representation of the vehicle and the virtual manufacturing environment.

Abstract: Methods and systems for a vehicle are provided. The method includes receiving identification data of an object outside of the vehicle from an identification recognition unit, acquiring authorization data associated with an occupant in the vehicle, determining the object is authorized to pick up the occupant based on the identification data and the authorization data, and unlocking a door of the vehicle in response to determining that the object is authorized to pick up the occupant.

Abstract: Systems, methods, and non-transitory computer-readable medium for displaying a virtual space are provided. The system for displaying a virtual space includes a graphical user interface and a controller. The controller is programmed to receive user information from a user profile, wherein the user information comprises a user location, a user design preference, and at least one user metric. The controller is also programmed to determine display conditions based on the user information, determine user accessibility to virtual features based on the at least one user metric, and display the virtual space including the virtual features on the graphical user interface based on the display conditions and the user accessibility. The virtual space is displayed as a virtual 3D rendered image.