Abstract: An example operation includes one or more of receiving a notification of an available software update configured to alter functionality of a transport, enabling the altered functionality for an amount of time, and responsive to the altered functionality not being utilized during the amount of time, sending a notification indicating a negative outcome.

Abstract: An example operation includes one or more of determining objects to be delivered by a group of vehicles, and choosing a vehicle of the group of vehicles with a most degraded battery to transport a heaviest object of the objects.

Abstract: An example operation includes one or more of: determining an event of a vehicle consuming a required amount of energy greater than a first threshold; providing, by a removable auxiliary battery of the vehicle, at least a portion of the required amount of energy during the event; and providing, by a core battery of the vehicle, a second amount of energy upon completion of the event.

Abstract: An example operation may include one or more of receiving, by an accident processing node, an accident report generated by a transport, retrieving, by the accident processing node, a time and a location of the accident from the accident report, querying, by the accident processing node, a plurality of transport profiles on a storage based on the time and the location of the accident, and retrieving video data associated with the time and the location of the accident from the plurality of the transport profiles.

Abstract: An example operation includes one or more of obtaining a destination of a vehicle, determining an amount of traffic in an area proximate a route to the destination within a time frame, determining a best time to leave in the time frame and a worst time to leave in the time frame, where the best time to leave provides a minimum traffic in the area and the worst time to leave provides a maximum traffic in the area, and determining one or more of a degradation of a battery of the vehicle and an energy usage of the vehicle for one or more of the best time to leave and the worst time to leave.

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: Systems and methods for production planning optimization for automotive accessory installation are provided. A method includes generating, by a processor, a vehicle identification number (VIN) work pool including a list of available VINs based on one or more VIN lists and a list of VIN exclusions. The method further includes calculating, by the processor, a line target work pool based on available resources. The method further includes calculating, by the processor, one or more production target work pools based on the VIN work pool and the line target work pool. The method further includes selecting, by the processor, a VIN from the VIN work pool for assignment to an assembly schedule based on an age of the VIN and a degree of the VIN satisfying the line target work pool, and the one or more production target work pools. Associated systems are also provided.

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 determining that a non-electric vehicle associated with a location has a utilization level greater than a threshold; and limiting energy at the location commensurate with an energy related to the utilization level.

Abstract: An example operation includes one or more of detecting, by a server, a target transport operating in an unsafe manner, locating, the by the server, at least one autonomous transport in front of the target transport, and maneuvering the at least one autonomous transport to affect the target transport.

Abstract: A method is provided. The method includes determining a vehicle is stolen, displaying on a display an image indicating the vehicle is stolen upon determining the vehicle is stolen. The image provides identification information of the vehicle. The method further includes executing a theft prevention measure including rendering the vehicle not drivable upon determining the vehicle is stolen.

Abstract: An example operation includes one or more of determining a portion of a needed charge of a battery of a vehicle at a first time; and determining a remaining portion of the needed charge at a second time; preserving a charge of the vehicle's battery to be between around 20% capacity and around 80% capacity, based on the determined portion and the determined remaining portion; wherein the preserving avoids an electric grid's peak usage.

Abstract: Methods, systems, and apparatus for a ride-hailing platform. The ride-hailing platform includes one or more processors and a memory. The memory is configured to store computer-readable instructions that when executed by the one or more processors, cause the one or more processors to perform operations including obtaining, from multiple transportation providers, multiple ride-sharing routes for multiple ride-sharing vehicles. The operations include obtaining a ride-hailing request including one or more disability settings for a user, a location of the user and a destination of the user. The operations include determining that a first ride-sharing vehicle should transport the user based on the one or more disability settings of the user. The operations include altering a first ride-sharing route to transport the user from the location of the user to the destination of the user and providing the altered first ride-sharing route to a driver of the first ride-sharing vehicle.

Abstract: An example operation includes one or more of powering, by a transport, one or more critical components, running, by the transport, a first set of applications on the one or more critical components, responsive to a dependency of one or more noncritical components on the one or more critical components, powering, by the transport, the one or more noncritical components, and running, by the transport, a second set of applications on the one or more noncritical components.

Abstract: Systems, methods, computer-readable media, techniques, and methodologies are disclosed for detecting messages received sequentially in short succession and implementing delivery controls to control a timing of the delivery of content of the messages for presentation to a user. Message detection and delivery control mechanisms disclosed herein refrain from presenting the content of multiple messages received in quick succession until a delivery event condition is detected. Upon detection of the delivery event condition, the content of the messages is consolidated into a message digest that is presented to a user (e.g., an intended recipient of the messages). The consolidated message digest can be presented to the user via an output interface, such as an in-vehicle speaker or display. In this manner, both disruption to the user experience as well as potential safety concerns, particularly in an in-vehicle environment, are mitigated by reducing the number and frequency of messages that are consumed.

Abstract: An example operation includes setting a mode of a vehicle based on an operation of the vehicle, a characteristic of the vehicle, a time, and/or a location of the vehicle. The mode is any of a service mode wherein personal information of a user of the vehicle is inaccessible; a development mode wherein a functionality of the vehicle is able to be modified, tested and/or validated, and wherein a security control of the vehicle is limited; and a normal mode wherein the functionality of the vehicle is enabled and the personal information of the user of the vehicle is accessible and modifiable.

Abstract: An example operation may include one or more of receiving a software update at a transport, performing a first validation of the software update in a first environment, wherein the first environment includes a least amount of potential interactions, and performing a further validation of the software update when the first validation is successful, in a further environment, wherein the further environment includes an amount of potential interactions greater than the first environment.

Abstract: An example operation includes one or more of initially determining, via one or more sensors on a transport, that the transport is approaching a one-way road in a wrong direction based on a slowing down of the transport and a movement of the transport toward the one-way road, notifying, via the one or more sensors, one or more occupants of the transport about the approaching, and in response to the transport continuing to approach in the wrong direction, slowing the transport, by a computer associated with the transport, to not permit entry into the one-way road.

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 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.