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 may include one or more of receiving, by a destination processing node, a notification from a transport regarding a probable vacancy, determining, by the destination processing node, a probable time of availability and a location of the vacancy based on the notification, querying, by the destination processing node, a plurality of transports in a proximity of the vacancy, and assigning the location of the vacancy to a specific transport of the plurality of the transports.

Abstract: An example operation includes one or more of detecting, by a transport, an increase in sound pressure of at least one portion of an audio stream, determining, by the transport, whether the increase in the sound pressure of the at least one portion is atypical audio, determining, by the transport, a probable root cause of the atypical audio, and initiating, by the transport, a response when the probable root cause is determined to be urgent.

Abstract: An example operation may include one or more of receiving a software update at a transport of a subset of transports, validating the software update based on one or more of: a period of time when the software update is in use, and a number of utilizations of the software update by the subset of the transports, propagating the software update based on the validating, to a further subset of transports, wherein the further subset of the transports is larger than the subset of the transports.

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: An example operation may include one or more of receiving a software update at a transport of a subset of transports, validating the software update based on one or more of: a period of time when the software update is in use, and a number of utilizations of the software update by the subset of the transports, propagating the software update based on the validating, to a further subset of transports, wherein the further subset of the transports is larger than the subset of the transports.

Abstract: An example operation may include one or more of detecting, by a parking processing node, a parking of a transport at an event location, accessing, by the parking processing node, a device of a transport occupant to determine a transport pickup location and a pickup time based on a conclusion of an event, detecting, by the parking processing node, from the device of the transport occupant at least one modification of the pickup location and the pickup time made based on an updated conclusion of the event, and sending a command to move the transport to a location proximate to the event based on the modified pickup location and the modified pickup time.

Abstract: An example operation may include one or more of receiving, by a destination processing node, a notification from a transport regarding a probable vacancy, determining, by the destination processing node, a probable time of availability and a location of the vacancy based on the notification, querying, by the destination processing node, a plurality of transports in a proximity of the vacancy, and assigning the location of the vacancy to a specific transport of the plurality of the transports.

Abstract: An example operation may include one or more of querying, by a transport, a plurality of transports within a parking area for a parking spot to be vacated, receiving, by the transport, verification to vacate the parking spots from the plurality of transports within the parking area, and determining, by the transport, locations of the parking spots to be vacated based on the verifications.

Abstract: An example operation may include one or more of querying, by a transport, a plurality of transports within a parking area for a parking spot to be vacated, receiving, by the transport, verification to vacate the parking spots from the plurality of transports within the parking area, and determining, by the transport, locations of the parking spots to be vacated based on the verifications.

Abstract: An example operation includes one or more of establishing, by a processor, an intended destination of an autonomous transport, and determining, by the processor, an alternate destination based on a parameter by comparing a functional relationship value, of a provided measurement of the parameter and a weighting value associated therewith, with a threshold, wherein the intended destination and the alternate destination are not the same.

Abstract: An example operation includes one or more of determining automatically, by a processor based on data received from at least one sensor on a transport, a driving behavior associated with an operator of the transport over at least one first period of time as the operator's normal driving behavior, determining automatically by the processor a difference between the operator's normal driving behavior and a second driving behavior currently occurring over a second period of time as the operator's current driving behavior, and in the case the difference between the operator's normal driving behavior and the operator's current driving behavior indicates the operator's current driving behavior is unsafe, automatically guiding at least one of the operator and the transport to operate the transport in a safe driving behavior.

Abstract: An example operation includes one or more of determining, via a server, a dangerous area on a route of a transport, wherein the dangerous area is based on a new condition of an area, sending a notification to the transport, via the server, of the dangerous area and the new condition and performing, via the transport, at least one atypical action to traverse the dangerous area until a resolution of the new condition occurs, wherein the atypical action comprises one or more movements that do not typically occur on or around the dangerous area.

Abstract: An example operation includes one or more of receiving, via a transport, a transport audio, classifying, via the transport, a subset of the transport audio as an atypical transport audio, determining, via the transport, a possible source location of the atypical transport audio, transmitting, via the transport, the atypical transport audio and the possible source location to a server, determining, via the server, a set of potential causes of the atypical transport audio and receiving, via the transport, the set of potential causes of the atypical transport audio.

Abstract: An example operation includes one or more of determining, by a server, that a transport is inoperable on a route, instructing, by the server, an alternate transport to navigate to the transport, configuring, by the server, the alternate transport based on a configuration of the transport and routing, by the server, the configured alternate transport to an intended destination of the transport.

Abstract: A vehicle data processing system includes a group of sensors and a controller. The group of sensors is arranged on board a vehicle and operable to detect and capture driving event. The controller is coupled to the group of sensors and operable to receive one or more data streams indicative of the driving event data from the group of sensors. The controller is further operable to (i) analyze the one or more data streams, (ii) determine a current operation status of a vehicle based on the one or more data streams, (iii) determine whether or not the current operation status of the vehicle triggers prioritized processing of the one or more data streams, and (iv) upon determination that the prioritized processing is triggered, apply the prioritized processing.

Abstract: A vehicle convoy management system includes a processor and a non-transitory computer readable memory configured to store a machine-readable instruction set. The machine-readable instruction set causes the vehicle convoy management system to: determine a first vehicle and a second vehicle form a convoy, delegate a first task to the first vehicle based on a first set of sensor resources of the first vehicle, delegate a second task to the second vehicle based on a second set of sensor resources of the second vehicle, where the first task is distinct from the second task, receive a first information generated in response to the first vehicle completing the first task with the first set of sensor resources, receive a second information generated in response to the second vehicle completing the second task, and transmit at least one of the first information or the second information to at least one vehicle.

Abstract: An example operation may include one or more of receiving a software update at a transport of a subset of transports, validating the software update based on one or more of: a period of time when the software update is in use, and a number of utilizations of the software update by the subset of the transports, propagating the software update based on the validating, to a further subset of transports, wherein the further subset of the transports is larger than the subset of the transports.

Abstract: An example operation may include one or more of sending, by a master transport, a first portion of a software update to a transport of a first subset of transports, sending, by a master transport, a second portion of the software update to a transport of a further subset of transports, when a first transport of the subset of the transports and a second transport of the further subset of the transports are in proximity, causing the first transport to send the first portion of the software update to the second transport, and causing the second transport to send the second portion of the software update to the first transport.

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.