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 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.

Abstract: Systems and methods are provided for an intelligent HUD. An intelligent HUD may include intelligently enabled display information. Intelligently enabled display information may include vehicle statistics, environmental statistics, warnings, instructions, and other relevant information. Intelligently enabled display information may be displayed on the HUD at a relevant time based on a triggering event. A triggering event may be operation of a vehicle contrary to law, an unsafe driving condition, or a change in information relevant to a driver. Intelligently enabled display information may be turned off after a set period of time, after a driver adjusts vehicle operation in response to a warning or instruction, and/or after a triggering event concludes.

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 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.

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 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 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 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.

Abstract: Systems and methods to generate purchase suggestions are disclosed. Exemplary implementations may: present purchase suggestions, by a user interface to the vehicle occupant; generate output signals conveying a location of the vehicle; receive and determine output signals of external resources conveying interest information of the vehicle occupant; determine, based on the output signals, location of the vehicle; determine, based on the location and vehicle-to-infrastructure communications, business information of one or more businesses nearby; build one or more business profiles; build one or more purchase profiles; store the one or more business profiles and/or purchase profiles in electronic storage; determine, based on the one or more business profiles, the driver's purchase profile, and/or the location information, purchase suggestions for the driver; and present, through the user interface, the purchase suggestions for the driver.

Abstract: Methods and systems for alerting a driver of a vehicle of parking conditions within a predetermined distance of a destination. The system includes a transceiver of the vehicle configured to receive, from one or more other vehicles, parking condition data including one or more indicators of parking conditions within the predetermined distance of the destination. The system also includes an electronic control unit (ECU) of the vehicle connected to the transceiver. The ECU is configured to determine a parking congestion level based on the parking condition data. The ECU is also configured to determine whether the parking congestion level exceeds a threshold parking congestion level. The ECU is also configured to instruct an output device to alert the driver of parking congestion near the destination when the parking congestion level exceeds the threshold parking congestion level.

Abstract: Methods and systems for alerting a driver of a vehicle of parking conditions within a predetermined distance of a destination. The system includes a transceiver of the vehicle configured to receive, from one or more other vehicles, parking condition data including one or more indicators of parking conditions within the predetermined distance of the destination. The system also includes an electronic control unit (ECU) of the vehicle connected to the transceiver. The ECU is configured to determine a parking congestion level based on the parking condition data. The ECU is also configured to determine whether the parking congestion level exceeds a threshold parking congestion level. The ECU is also configured to instruct an output device to alert the driver of parking congestion near the destination when the parking congestion level exceeds the threshold parking congestion level.

Abstract: Systems and methods to generate purchase suggestions are disclosed. Exemplary implementations may: present purchase suggestions, by a user interface to the vehicle occupant; generate output signals conveying a location of the vehicle; receive and determine output signals of external resources conveying interest information of the vehicle occupant; determine, based on the output signals, location of the vehicle; determine, based on the location and vehicle-to-infrastructure communications, business information of one or more businesses nearby; build one or more business profiles; build one or more purchase profiles; store the one or more business profiles and/or purchase profiles in electronic storage; determine, based on the one or more business profiles, the driver's purchase profile, and/or the location information, purchase suggestions for the driver; and present, through the user interface, the purchase suggestions for the driver.

Abstract: A vehicular data correlation system includes a first network access device (NAD) of a first vehicle; and a database server having processing circuitry. The processing circuitry is configured to cross-reference a first driver settings dataset in a driver settings database to a first vehicle dataset in a vehicle database to form a first enhanced data packet, cross-reference a first vehicle conditions dataset in a vehicle conditions database to a first driver dataset in a driver database to form a second enhanced data packet, correlate the first enhanced data packet with the second enhanced data packet, download the first enhanced data packet to the first NAD, download the second enhanced data packet to the first NAD, and transmit a first initiation signal to implement the first driver settings dataset and to display the first vehicle conditions dataset on the first vehicle, via the first NAD.