Abstract: Systems and techniques for location management are described herein. In an example, a system may include at least one processor and at least one memory with instructions stored thereon that when executed by the processor, cause the processor to obtain data originating from one or more sensors proximate to the location. A trained activity-based detection model may identify an activity at the location and perform a determination of a service to be offered at the location based on the detected activity. The system may then send a message to a user offering the service to the user, and in response to receiving an authorization accepting the service from the user, cause the service to be implemented at the location, which may include classifying the service as a service type, matching the service type to a service provider, and sending a notification to the service provider.

Abstract: Systems and methods for dynamically controlling an infrastructure item are disclosed. The systems and methods may include receiving environmental data. The environmental data may capture behavior of a crossing user. An intent of the crossing user may be determined based on the environmental data. A setting of the infrastructure item may be changed based on the intent of the crossing user.

Abstract: A component of an intelligent transportation infrastructure system, the component including: processing means; and a non-transitory computer-readable storage medium including instructions that, when executed by the processing means, cause the processing means to: receive, from a vehicle having autonomous driving capabilities, an autonomous driving disengagement request message; determine, based on perception data or analytics related to the vehicle or a vicinity of the vehicle, a disengagement level of a multiple-disengagement-level protocol and a corresponding post-disengagement vehicle action; and transmit to the vehicle an autonomous driving disengagement response message including a post-disengagement vehicle action instruction.

Abstract: The disclosure relates to systems, methods, and devices for managing traffic through a road segment and/or intersection. The traffic management system may place traffic objects in a collaboration group for coordinating movements in the road segment and/or intersection in response to a received indication that an emergency vehicle has a planned route that includes the road segment and/or intersection. The traffic management system may determine a movement plan for each traffic object in the collaboration group based on received measurements about the road segment and the planned route of the emergency vehicle. The traffic management system may control a transmitter to send the movement plan to each traffic object in the collaboration group.

Abstract: A controller is provided. The controller comprises a processor configured to determine multiple power saving modes based on a power saving model of a network communicative road sensing system and on a power saving target assigned to the road sensing system; the multiple power saving modes comprising a first power saving mode for a first power consuming subsystem of the road sensing system and a second power saving mode for a second power consuming subsystem of the road sensing system; generate a recommendation for the road sensing system to operate in accordance with the multiple power saving modes.

Abstract: Various systems and methods for implementing end-to-end quality of service (QoS) for network communications are provided using various network and compute technologies. In an example, managing Quality of Service (QoS) for end-to-end network data flows, includes: identifying QoS characteristics for data flows of a user equipment (UE), for data flows performed via multiple access networks; mapping the QoS characteristics to network functions of at least one of the multiple access networks; and controlling the network functions of the at least one of the multiple access networks, based on the QoS characteristics, as the network functions are implemented at respective resources located within at least one of the multiple access networks. Further examples for controlling the network functions using Access Traffic Steering, Switching and Splitting (ATSSS) functionality in an 3GPP multi-access network, and configuring a network exposure function of an 3GPP multi-access network, are also disclosed.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for private network mobility management. An example private network in a box includes interface circuitry to communicate with multi-access terrestrial network (TN) nodes and non-terrestrial network (NTN) nodes, machine readable instructions, and programmable circuitry. The example programmable circuitry is to generate a first mesh associated with a geographical area of the private network and a second mesh associated with the geographical area. The example programmable circuitry is also to initiate at least one of the multi-access TN nodes in alignment with the first mesh and at least one of the NTN nodes in alignment with the second mesh. Additionally, the example programmable circuitry is to facilitate communication associated with at least one user equipment within at least one of the first mesh or the second mesh using the private network.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed. An example edge compute device disclosed herein includes interface circuitry, machine readable instructions, and programmable circuitry to execute the machine readable instructions to configure compute resources of the edge compute device based on a first resource demand associated with a first location of the edge compute device, detect a change in location of the edge compute device to a second location, and in response to detection of the change in location, reconfigure the compute resources of the edge compute device based on a second resource demand associated with the second location.

Abstract: Disclosed herein is a roadside unit with a radio frontend port configured to receive a first signal representing a radiofrequency transmission according to a first radio communication protocol, to receive a second signal representing a radiofrequency transmission according to a second radio communication protocol. A first processing subsystem configured to execute a first baseband process of the first radio communication protocol on the first signal and to generate a first output signal as an output of the first baseband process. A second processing subsystem configured to execute a baseband process of the second radio communication protocol on the second signal and to generate a second output signal as an output of the second baseband process. The first processing subsystem is a first software containerization or a first machine virtualization of the processor, wherein the second processing subsystem is a second software containerization or a second machine virtualization of the processor.

Abstract: Systems, apparatuses, methods, and computer-readable media, are provided for managing background data transfer sessions based on network events monitored by one or more network elements. Embodiments may be relevant to multi-access edge computing (MEC) and Automotive Edge Computing Consortium (AECC) technologies. Other embodiments may be described and/or claimed.

Abstract: Various systems and methods for implementing secure high-definition map services are described herein. A system for implementing secure high-definition map services includes a processor subsystem; and a storage including instructions, which when executed by the processor subsystem, cause the processor subsystem to: receive map data from a remote data source; authenticate the remote data source; obtain an identifier of the remote data source; add the map data to an entry in an immutable log when the remote data source is authenticated, the entry having an entry identifier; store an association between the identifier of the remote data source and the entry identifier in a secure store; and incorporate the map data into a master map.

Abstract: The disclosed embodiments generally relate to methods, systems and apparatuses for directing Autonomous Driving (AD) vehicles. In one embodiment, an upcoming condition is assessed to determine the computational needs for addressing the condition. A performance value and latency requirement value are assigned to the upcoming condition. A database of available nodes in the network is then accessed to select an optimal node to conduct the required computation. The database may be configured to maintain real time information concerning performance and latency values for all available network nodes. In certain embodiments, all nodes are synchronized to maintain substantially the same database.

Abstract: A system and method for vehicle communication, including a computing device communicatively coupled with a roadside computing device disposed along a road, wherein the computing device is disposed remote from the road. The roadside computing device to communicate with a vehicle computing system of a vehicle on the road.

Abstract: Systems, apparatuses, methods, and computer-readable media, are provided for managing background data transfer sessions based on network events monitored by one or more network elements. Embodiments may be relevant to multi-access edge computing (MEC) and Automotive Edge Computing Consortium (AECC) technologies. Other embodiments may be described and/or claimed.

Abstract: A system and method for vehicle communication, including a computing device communicatively coupled with a roadside computing device disposed along a road, wherein the computing device is disposed remote from the road. The roadside computing device to communicate with a vehicle computing system of a vehicle on the road.

Abstract: Embodiments of a system and method for dynamic hardware acceleration are generally described herein. A method may include identifying a candidate task from a plurality of tasks executing in an operating environment, the operating environment within a hardware enclosure, the candidate task amenable to hardware optimization, instantiating, in response to identifying the candidate task, a hardware component in the operating environment to perform hardware optimization for the task, the hardware component being previously inaccessible to the operating environment, and executing, by the operating environment, a class of tasks amenable to the hardware optimization on the hardware component.

Abstract: The disclosed embodiments generally relate to methods, systems and apparatuses for directing Autonomous Driving (AD) vehicles. In one embodiment, an upcoming condition is assessed to determine the computational needs for addressing the condition. A performance value and latency requirement value are assigned to the upcoming condition. A database of available nodes in the network is then accessed to select an optimal node to conduct the required computation. The database may be configured to maintain real time information concerning performance and latency values for all available network nodes. In certain embodiments, all nodes are synchronized to maintain substantially the same database.

Abstract: Embodiments of a system and method for dynamic hardware acceleration are generally described herein. A method may include identifying a candidate task from a plurality of tasks executing in an operating environment, the operating environment within a hardware enclosure, the candidate task amenable to hardware optimization, instantiating, in response to identifying the candidate task, a hardware component in the operating environment to perform hardware optimization for the task, the hardware component being previously inaccessible to the operating environment, and executing, by the operating environment, a class of tasks amenable to the hardware optimization on the hardware component.