Abstract: An example operation includes one or more of collecting, by the transport, data from a device associated with an occupant containing an amount of movement of the device and an amount of time elapsed during the movement, and determining an injury level of the occupant based on the data after a collision.

Abstract: An example operation includes one or more of receiving a first health characteristic of an occupant from a first device affixed to a transport, responsive to the first health characteristic being at or outside a threshold, receiving a second health characteristic of the occupant from a second device affixed to the occupant, and sending a notification to other devices that were proximate the second device when the second health characteristic is outside the threshold.

Abstract: An example operation includes one or more of determining a danger level of an object in a vehicle, determining characteristics of the object including a weight, a size, and a location, updating the danger level of the object based on one or more of the characteristics, and sending a notification to a device associated with the updated danger level of the object.

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 determining an occupant and an object in a vehicle, determining a type of the object, determining a first timestamp associated with the occupant and a second timestamp associated with the object, and responsive to the timestamps overlapping, notifying a device associated with the occupant when the value is greater than a threshold.

Abstract: An example operation includes determining, by a vehicle, that a first occupant has exited the vehicle at a first location and has relocated to a second location; detecting, by the vehicle, a level of seriousness of an event related to the vehicle; sending a first notification of the event, by the vehicle, to a device associated with the first occupant, based on the first location and the level of seriousness; and, responsive to the device not responding to the first notification, sending a second notification to a server associated with an entity at the second location.

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 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 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: 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 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 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 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 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 one or more of determining that a device associated with a vehicle is proximate or in the vehicle, determining that the device is approved for pairing with the vehicle, detecting that a person associated with the device is proximate or in the vehicle, and pairing the device with the vehicle.

Abstract: An example operation 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: 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 control operation of the radar sensor to acquire data for determining and updating a number of occupants in the vehicle. Upon receiving a control command whose execution will result in movement of the vehicle, a pre-movement radar scan of the vehicle interior is performed. Using information acquired by the pre-movement scan, the sensor control module determines if an excessive occupant condition exists in the vehicle interior. Responsive to a determination that an excessive occupant condition exists, the sensor control module may control an operation of the vehicle other than executing the control command.

Abstract: Systems, methods, and other embodiments described herein relate to sensing interactions of a passenger with components within a vehicle. In one embodiment, a method includes acquiring, from a radar of a vehicle, radar data about a passenger cabin of the vehicle. The method includes determining a current state of the passenger cabin according to the radar data. The method includes, responsive to identifying that the current state indicates that a passenger satisfies a threshold in relation to an unpermitted action, generating a response that counters the unpermitted action.

Abstract: An example operation includes one or more of determining a dangerous scenario exists on a first path to a destination of a vehicle, rerouting the vehicle on a second path toward the destination based on the dangerous scenario, determining the dangerous scenario has abated within an amount of time, and routing the vehicle to the destination on the first path.

Abstract: An example operation includes providing an alert related to an event based on a difference related to a speed and an angle of an element exiting in a first zone around a transport and entering a second zone within the first zone, if the difference is above a threshold.