Abstract: An example operation includes one or more of determining a condition at a location containing a past occupant of a vehicle, determining a time when the past occupant will become an occupant of the vehicle, and adjusting another condition of a cabin of the vehicle to be at the condition at the time.

Abstract: An example operation includes one or more of analyzing data related to content being delivered to occupant devices in a vehicle; and notifying the devices of additional functionality related to the vehicle based on the analyzing.

Abstract: An example operation includes recording, from a vehicle sensor, data indicative of a plurality of movements of a first occupant in an interior of a vehicle; determining, from the recording, a first maximum range of extension among the plurality of movements, and a first amount of time between a first movement and a second movement of the plurality of movements; and assigning the first occupant to one of a plurality of age groups, based upon the determining.

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 example operation includes one or more of receiving a call on a device associated with an occupant of a vehicle, determining a noise level proximate the occupant, and directing the call to a speaker proximate the occupant, based on the noise level.

Abstract: An example operation includes one or more of receiving a scan of a cabin of a vehicle, wherein the scan includes a spatial region inside the vehicle and outside the vehicle proximate at least one vehicle door, determining at least one occupant characteristic based on the scan, including a classification detection and a presence detection of at least one seat inside the vehicle, determining a cabin status based on the at least one occupant characteristic and communicating the cabin status to a mobile device.

Abstract: An example operation includes one or more of entering, by a vehicle, a security mode, when sensors on the vehicle detect a movement or an irregular sound, collecting data, by the vehicle, from the sensors to record an area proximate the vehicle, analyzing, by the vehicle, the data to determine a security threat, notifying, by the vehicle, a device associated with the vehicle when the security threat is above a threshold, and performing an action, by the vehicle, based on a message received from the device.

Abstract: Provided is a process that includes one or more of receiving data from sensors on a vehicle, where the data is associated with an internal environment of the vehicle and characteristics of an occupant of the vehicle and modifying functionality of the vehicle based on the received data, where the modifying updates a Graphical User Interface (GUI) of the vehicle and a GUI of a device associated with the occupant.

Abstract: An example operation includes one or more of determining one or more objects in a transport that may become airborne and altering a portion of the transport to minimize the one or more objects from becoming airborne during a collision.

Abstract: An example operation includes one or more of receiving a scan of a cabin of a vehicle, wherein the scan includes a spatial region inside the vehicle and outside the vehicle proximate at least one vehicle door, determining at least one occupant characteristic based on the scan, including a classification detection and a presence detection of at least one seat inside the vehicle, determining a cabin status based on the at least one occupant characteristic and communicating the cabin status to a mobile device.

Abstract: An example operation includes detecting, by a vehicle, a location of a first potential passenger proximate to a road; determining, by the vehicle, a first road safety level of a pick-up for the first potential passenger; denying, by the vehicle, the pick-up for the first potential passenger when the determined first road safety level is below a threshold; determining, by the vehicle, a second road safety level of a pick-up for a second potential passenger; and picking up, by the vehicle, the second potential passenger, when the second road safety level is above the threshold.

Abstract: An example operation includes one or more of determining one or more objects in a transport that may become airborne and altering a portion of the transport to minimize the one or more objects from becoming airborne during a collision.

Abstract: Provided is a process that includes one or more of receiving data from sensors on a vehicle, where the data is associated with an internal environment of the vehicle and characteristics of an occupant of the vehicle and modifying functionality of the vehicle based on the received data. Modifying functionality includes updating a graphical user interface (GUI) of the vehicle and a GUI of a device associated with the occupant.

Abstract: An example operation includes one or more of detecting a movement of an object in a vehicle when the vehicle is in motion, and determining that the object is an inanimate object, based on a vertical and horizontal distance of the detected movement.

Abstract: An example operation includes one or more of determining a level of risk of a collision of a transport, wherein the level of risk is related to an occupant of the transport and an environment of the transport, accumulating an amount of data based on the level of risk, preparing the accumulated data for sending to one or more recipients when the level of risk exceeds a risk threshold, and sending the prepared data to the one or more recipients when the collision occurs.

Abstract: An example operation includes one or more of detecting a living element in a transport, determining a dangerous condition exists in response to an internal temperature of the transport is outside of a threshold and a negative characteristic is associated with the living element, and positioning the transport to a location to reduce the dangerous condition.

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 detecting a living element in a transport, determining a dangerous condition exists in response to an internal temperature of the transport is outside of a threshold and a negative characteristic is associated with the living element, and positioning the transport to a location to reduce the dangerous condition.

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.