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: 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, 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 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 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: Systems, methods, and other embodiments described herein relate to tracking a user, updating a destination for the user and delivering an item to the updated destination using a Mobility-as-a-Service (“MaaS”) system. In one embodiment, a method includes associating the item with the user. The method includes determining a destination of the user, determining a delivery route for the item based at least on the destination and initiating delivery of the item based on the determined delivery route. The method further includes tracking movements of the user, receiving user movement data based on at least the tracked movements of the user, and determining whether the destination has changed based on the user movement data. If the destination has changed, updating the destination based on the user movement data, determining a revised delivery route for the item based on the updated destination, and rerouting the item based on the revised delivery route.

Abstract: An example operation may include one or more of receiving, by a diagnostic center, malfunction information related to a transport, acquiring, by a diagnostic center, agreements on a threshold for the malfunction information from a plurality of diagnostic centers, in response to the malfunction information exceeding the threshold, storing the malfunction information on a remote storage, and deleting the malfunction information from the transport.

Abstract: An example operation may include one or more of receiving, from at least one sensor associated with a transport, severity of damage information related to the transport, when the severity of damage exceeds a threshold, sending sensitive data on the transport to a storage apart from the transport, and deleting the information and the sensitive data from the transport.

Abstract: An example operation may include one or more of receiving, from at least one sensor associated with a transport, severity of damage information related to the transport, when the severity of damage exceeds a threshold: identifying sensitive data on the transport; removing a portion of the sensitive data from the transport; storing the removed portion on a storage apart from the transport; identifying additional data to replace the removed portion of the sensitive data; and adding the identified additional data to the sensitive data on the transport.

Abstract: An example operation may include one or more of determining an amount of time a transport will lose a data network connection when the transport is predicted to enter an area associated with the loss of the data network connection, and sending an emergency signal to a third party when the amount of time has passed since the transport has entered the area and there is no alternate path out of the area.

Abstract: An example operation may include one or more of detecting a potential event via sensors on a transport, sending data related to the potential event to other transports within a predefined distance, storing the data at the transports and a server, and performing a transport operation response on the transports.

Abstract: An example operation may include one or more of detecting a potential event via sensors on a transport, sending data related to the potential event to other transports within a predefined distance, storing the data at the transports and a server, and performing a transport operation response on the transports.

Abstract: An example operation may include one or more of determining a transport will lose a data network connection at a target time based on a route plan associated with the transport, determining an estimated amount of network down time until the transport regains the data network connection once the data network connection is lost, responsive to determining the data network connection will be lost and the estimated amount of network down time, invoking an off-network transport mode prior to the target time, responsive to invoking the off-network transport mode, recording one or more data segments of a data service currently used in the transport, and initiating the one or more data segments on a computing device at the target time.

Abstract: An example operation may include one or more of detecting a potential event via sensors on a transport, sending data related to the potential event to other transports within a predefined distance, storing the data at the transports and a server, and performing a transport operation response on the transports.

Abstract: A dynamic data compression system includes a group of sensors and a controller. The sensors are arranged on-board of a vehicle and operable to detect and capture driving event data, the group of sensors comprising a target sensor. 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 vehicle operation condition based on the one or more data streams, the vehicle operating condition comprising a speed of the vehicle, a location of the vehicle, a motion of the vehicle, or a combination thereof, and (iii) determine whether or not to compress a data stream from the target sensor based on the vehicle operation condition.

Abstract: A system and method are provided for automatic optimization of vehicle RF audio systems. The method includes receiving first data describing a radio-frequency environment experienced by a radio system of a vehicle, the vehicle radio system comprising a processor and a memory storing code executable by the processor; receiving second data describing responses of one or more occupants of the vehicle to audio produced by the radio system; correlating the responses of one or more occupants of the vehicle with changes in the radio-frequency environment experienced by the radio system; generating a code update using the correlation of the responses with changes in the radio-frequency environment experienced by the radio system, and refreshing code stored in a memory of the vehicle according to the code update, wherein a processor in the vehicle executes the code.

Abstract: A system and method are provided for automatic optimization of vehicle RF audio systems. The method includes receiving first data describing a radio-frequency environment experienced by a radio system of a vehicle, the vehicle radio system comprising a processor and a memory storing code executable by the processor; receiving second data describing responses of one or more occupants of the vehicle to audio produced by the radio system; correlating the responses of one or more occupants of the vehicle with changes in the radio-frequency environment experienced by the radio system; generating a code update using the correlation of the responses with changes in the radio-frequency environment experienced by the radio system, and refreshing code stored in a memory of the vehicle according to the code update, wherein a processor in the vehicle executes the code.

Abstract: A dynamic data compression system includes a group of sensors and a controller. The sensors are arranged on-board of a vehicle and operable to detect and capture driving event data, the group of sensors comprising a target sensor. 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 vehicle operation condition based on the one or more data streams, the vehicle operating condition comprising a speed of the vehicle, a location of the vehicle, a motion of the vehicle, or a combination thereof, and (iii) determine whether or not to compress a data stream from the target sensor based on the vehicle operation condition.

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.