Abstract: An example operation includes determining a carbon footprint related to manufacturing at least one part for a vehicle, and setting a price of the vehicle based on the carbon footprint.

Abstract: A method for sharing a vehicle is provided. The method includes receiving an authorization for sharing the vehicle, obtaining vehicle data associated with the vehicle, obtaining external data obtained external to the vehicle, determining whether the vehicle meets criteria indicative of demand for sharing based on the vehicle data and the external data, and soliciting, in response to the determination that the vehicle meets the criteria for sharing, a user to share the vehicle for monetization.

Abstract: An example operation includes one or more of determining that an increased charging need for electric vehicle charging stations within a location may be imminent due to an increased number of electric vehicles to an area. The increased charging need may be due to, for example, an event, festival or a holiday season, particularly where the area may be a popular tourist destination. Having determined an increased charging need, electric vehicles associated with the location may be sent a direction to charge, e.g. from the charging stations, prior to the increased demand to relieve the burden on the charging stations during the period of increased need.

Abstract: An example operation includes one or more of determining an electric vehicle has obtained a charge from a renewable energy source, determining a further electric vehicle has obtained a further charge from a non-renewable energy source, and notifying the electric vehicle to alter a driving style contributing to a depletion of the charge faster than a depletion of the further charge.

Abstract: An example operation includes associating a device of a first user with a first profile key; encrypting data to be stored on a vehicle associated with the first user, by the device, with the first profile key; storing the encrypted data on the vehicle; and restricting access to other data stored on the vehicle, based on the first profile key.

Abstract: An example operation includes one or more of determining a characteristic of an occupant in a transport and a current driving environment of the transport, wherein the characteristic includes a position of the occupant, determining that the current driving environment will lead to a collision of the transport, and based on a predicted result of the collision, sending a predicted state of the occupant based on the position, to an emergency service node.

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 identifying transports operating on a roadway, determining a degree of transport traffic based on the identified transports, when the degree of transport traffic has exceeded a traffic level, assigning one or more of the identified transports as a roadway manager, controlling movement of the roadway manager, and generating a roadway indicator on the roadway manager to direct the identified transports.

Abstract: An example operation includes one or more of determining an action of a vehicle that causes an unsafe environment; storing a count of the action during a period; and autonomously controlling the vehicle to correct the action when the count is over a threshold.

Abstract: An example operation includes one or more of sending data from a component on a transport to at least one other component on the transport in at least one location on a bus, comparing the data at the at least one other component to a threshold, and sending a notification, by the at least one other component, to a processor when the data is outside the threshold.

Abstract: An in-cabin audio system includes: a plurality of speakers configured to play sound within a cabin; a distracted driver detection system configured to detect when a driver is distracted and to generate a distracted driver signal; an infotainment system configured to generate sound data; and a volume controller. The plurality of speakers include a first group of speakers and a second group of speakers. The plurality of speakers are configured to play the sound based on the sound data. The volume controller is configured control the plurality of speakers so as to operate in a normal mode or a distracted driver mode. The volume controller is configured to attenuate sound played by the first group of speakers and not to attenuate sound played by the second group of speakers in the distracted driver mode based on the distracted driver signal.

Abstract: An example operation includes one or more of creating, by a transport, a digital key when the transport is powered on, wherein the digital key relates to an identity of an occupant of the transport, creating, by the transport, a digital sub-key that is related to the digital key, using, by the transport, the digital key during processing of a first set of functions, and using, by the transport, the digital sub-key during processing of a second set of functions that are more critical than the first set of functions.

Abstract: An example operation includes one or more of determining groups of electric transports in an area that will have an available stored charge at a future time; verifying that one or more of the groups of electric transports are connected to an energy receiving module in the area immediately prior to the future time; and initiating a transfer of the available stored charge at the future time, wherein the future time is related to an energy demand of an electric grid being greater than a threshold.

Abstract: A system for controlling operation of a vehicle includes a millimeter-wave radar sensor, a processor, and a memory communicably coupled to the processor. The memory stores a sensor control module configured to automatically control operation of the radar sensor to perform at least one radar scan of at least a portion of an interior of the vehicle. The sensor control module is also configured to determine, using information acquired by the at least one radar scan of the vehicle interior, at least one characteristic of a child car seat positioned in the interior. The sensor control module is also configured to compare the at least one determined characteristic of the child car seat with child car seat comparison information and, responsive to the comparison of the at least one determined characteristic with the child car seat comparison information, control an operation of the vehicle.

Abstract: An example operation may include one or more of parking a transport in an initial space, determining an average time of an event attended by at least one occupant associated with the transport, moving the transport to at least one other space when an elapsed time of the event is less than the average time and when the at least one other space is available and closer to an event location than the initial space, and moving the transport to a final space when the event is completed, and the final space is a location of a device associated with the at least one occupant.

Abstract: An example operation includes one or more of determining a first output impedance of a first electronic control unit, determining a second output impedance of a second electronic control unit in response to the first output impedance is outside of a range of a first threshold of the first electronic control unit, and notifying in response to a difference between the second output impedance and a second threshold of the second electronic control unit is less than a further difference between the first output impedance and the first threshold.

Abstract: An example operation includes one or more of determining a movement of an occupant in a vehicle, determining an atypical health condition based on the movement and a position of the occupant in the vehicle, determining if the occupant is breathing, based on an analysis performed by the vehicle, verifying the atypical health condition by the vehicle, based on received data from a device proximate the occupant, and sending a notification to an entity, based on the verification.

Abstract: An autonomous seat sanitizing system for a vehicle includes a vehicle seat sanitizing system control module configured to detect a person approaching a vehicle. Responsive to a person approaching the vehicle, a distance of the person from the vehicle is determined. The distance of the person from the vehicle is compared to a predetermined threshold distance. If the distance of the person from the vehicle is less than the predetermined threshold distance, the control module determines if at least one seat in the vehicle occupant compartment is unoccupied. If at least one seat is unoccupied, the module controls operation of the vehicle to direct a sanitizing ultraviolet (UV) light onto the unoccupied seat until a vehicle door is opened from an exterior of the vehicle, or until the distance of the person from the vehicle is no longer less than the predetermined threshold distance.