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 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 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 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 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 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 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 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 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 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 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: 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: An example operation may include providing a value to a transport based on sensor data associated the transport.

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: An example operation includes one or more of determining if a user of a vehicle is an authorized user, determining data received by the vehicle is sensitive, and responsive to the user being authorized, storing the received sensitive data in the vehicle and purging other sensitive data stored in the vehicle similar to the stored sensitive data. A time of storage of the other sensitive data precedes a time of storage of the sensitive data.

Abstract: An example operation includes one or more of receiving, by a server, characteristics related to a transport within a time period, wherein the characteristics are related to a condition of the transport, an operation behavior of the transport and an upkeep of the transport, providing, by the server, one or more actions to perform by the transport to increase a level of the characteristics, and responsive to the level of the characteristics being increased, determining, by the server, a next use of the transport after the time period.

Abstract: An example operation may include one or more of receiving, by a dealer node, a request for a transport with a set of properties, querying, by the dealer node, a plurality of dealer nodes for the transport based on the set of the properties, responsive to receiving transport availability notifications, requesting a transfer of the transport from at least one dealer node of the plurality of the dealer nodes, receiving agreements from the plurality of the dealer nodes for the transfer of the transport, and recording the transfer of the transport on a remote storage.

Abstract: An example operation may include one or more of receiving, by a diagnostic center, malfunction information related to a transport, acquiring, by a diagnostic center, agreements on a threshold for the malfunction information from a plurality of diagnostic centers, in response to the malfunction information exceeding the threshold, storing the malfunction information on a remote storage, and deleting the malfunction information from the transport.

Abstract: An example operation includes one or more of obtaining, by a transport, data related to a performance of the transport, determining, by the transport, a performance level of the transport based on the obtained data, dynamically revising, by the transport, the performance level based on a current use of the transport, and determining, by the transport, a next use of the transport, based on the dynamically revised performance level.

Abstract: An example operation may include one or more of initiating a vehicle event, retrieving a user profile associated with a user participating in the vehicle event, applying a vehicle status, based on the user profile, to the vehicle event, permitting access to a first set of vehicle features based on the vehicle status, collecting vehicle actions performed during the vehicle event for a period of time, and determining whether to increase or decrease a vehicle status based on the collected vehicle actions.