Abstract: System, methods, and other embodiments described herein relate to improving latency when establishing peer-to-peer connections between devices. In one embodiment, a method includes, responsive to determining that a connection is to be established with at least one remote vehicle by a subject vehicle, acquiring parameters, from a remote server, that define characteristics of the connection. The method includes performing device discovery and service discovery simultaneously by embedding information about available services within a communication for device discovery. The method includes establishing the connection between the subject vehicle and the at least one remote vehicle according to the parameters.

Abstract: Systems and methods are provided for forming remote vehicular micro clouds at one or more remote locations. According to some embodiments, the methods and systems comprise responsive to receiving a request to form a vehicular micro cloud from a client device, communicating with a plurality of vehicles within an area of a geographic location to collectively form a vehicular micro cloud at the geographic location, where client device is remote from the area of the geographic location. The methods and systems further include receiving resource data from the plurality of vehicles, the resource data comprising detection results of an environment surrounding the geographic location based on sensor sets of the plurality of vehicles, and transmitting the resource data to the client device.

Abstract: Systems and methods are provided for forming remote vehicular micro clouds at one or more remote locations. According to some embodiments, the methods and systems comprise responsive to receiving a request to form a vehicular micro cloud from a client device, communicating with a plurality of vehicles within an area of a geographic location to collectively form a vehicular micro cloud at the geographic location, where client device is remote from the area of the geographic location. The methods and systems further include receiving resource data from the plurality of vehicles, the resource data comprising detection results of an environment surrounding the geographic location based on sensor sets of the plurality of vehicles, and transmitting the resource data to the client device.

Abstract: Systems and methods are provided for forming a knowledge hub. According to some embodiments, the methods and systems comprise determining a region of interest comprising a geographical portion of a roadway, determining an appropriate notification associated with the region of interest, the appropriate notification comprising instructions to navigate the geographical portion of the roadway, examining available resources to generate a knowledge hub about the region of interest and notifying the driver of the vehicle of the appropriate notification associated with the region of interest when the vehicle enters into the region of interest.

Abstract: The disclosed subject matter relates to managing a vehicular micro cloud. A method may include determining join/leave protocols for a vehicular micro cloud and transmitting the join/leave protocols to a local vehicle in a vicinity of the vehicular micro cloud prior to the local vehicle joining the vehicular micro cloud. The join/leave protocols can define at least: 1) a procedure for the local vehicle to join the vehicular micro cloud and contribute computing resources to a collaborative micro cloud task, and 2) a protocol for handing an incomplete task when the local vehicle leaves the vehicular micro cloud.

Abstract: A method for deploying of a backup roadside unit (RSU) vehicle to provide on-demand RSU services is described. The method may include determining, by a server, a resource specification to deploy a selected backup RSU vehicle to a requested site. The determining of the resource specification may be performed by the server in response to a scene description received from a requestor. The method also includes sending a dispatch instruction to the selected backup RSU vehicle to deploy the selected backup RSU vehicle to the requested site. In this method, a hardware/software capability of the selected backup RSU vehicle is matched to the resource specification determined by the server.

Abstract: The disclosure includes embodiments for forming an on-demand stationary vehicular micro cloud. In some embodiments, a method for a connected vehicle includes receiving event data that describes a set of events configured for triggering a creation of the on-demand stationary vehicular micro cloud. The method includes receiving sensor data that describes a roadway environment. The method includes detecting, based at least in part on the sensor data, an occurrence of at least one event included in the set of events. The method includes modifying an operation of a communication unit of the connected vehicle to initiate the creation of the on-demand stationary vehicular micro cloud to address the occurrence of the at least one event.

Abstract: System, methods, and other embodiments described herein relate to identifying connected vehicles through invoking maneuvers by vehicles that assist with distinguishing between safety messages having unassociated identifiers originating from the connected vehicles. In one embodiment, a method includes identifying surrounding vehicles including indeterminate vehicles from a driving environment using temporary identifiers received from the surrounding vehicles. The method also includes generating trajectories for the indeterminate vehicles. The method also includes distinguishing the indeterminate vehicles from communications using the temporary identifiers by observing execution of the trajectories by the indeterminate vehicles. The method also includes executing a planning task by a subject vehicle using safety information from the communications.

Abstract: The disclosure includes embodiments for reorganizing autonomous entities to meet a resource demand of a vehicular micro cloud. In some embodiments, a method for a connected vehicle that is a member of the vehicular micro cloud includes modifying an operation of a communication unit of the connected vehicle to receive, via a Vehicle-to-Everything (V2X) network, a reorganization message that includes a reorganization instruction to fulfill the resource demand of the vehicular micro cloud. The method includes executing the reorganization instruction to incorporate one or more resources of an autonomous entity into a resource pool of the vehicular micro cloud so that the resource demand of the vehicular micro cloud is met.

Abstract: The disclosure includes embodiments for providing altruistic mobility by one or more vehicular micro clouds. The method includes predicting, by a processor, based on sensor data describing a roadway environment that a future conflict of interest between a first set of vehicles and a second set of vehicles will occur in the roadway environment that includes the connected roadway infrastructure device. The method includes forming a first vehicular micro cloud including the first set of vehicles and the connected roadway infrastructure device. The method includes forming a second vehicular micro cloud including the second set of vehicles. The method includes determining steps included in an altruistic action plan that is operable to obviate the future conflict of interest. The method includes instructing the first set of vehicles and the connected roadway infrastructure device to execute the steps of the altruistic action plan to obviate the conflict of interest.

Abstract: A cooperative driving system includes a processor and a memory having one or more modules. The modules cause the processor to determine a route that includes a road segment to a destination for an ego vehicle based on (1) an ego vehicle operating parameter that has information regarding a preferred operation of an ego vehicle by an occupant, and (2) a location of a like vehicle with respect to the ego vehicle when the ego vehicle is traveling on at least a portion of the route. The one or more modules also cause the processor to determine a road-segment-level decision for the ego vehicle for the road segment based on the ego vehicle operating parameter, communicate with the like vehicle near the road segment to negotiate the road-segment-level decision to generate a negotiated road-segment-level decision, and maneuver the ego vehicle inside the road segment using the negotiated road-segment-level decision.

Abstract: The disclosure includes embodiments for predicting an occurrence of a future road hazard in a roadway environment using digital data provided by a vehicular micro cloud. A method according to some embodiments is executed by a processor. In some embodiments, the processor is an element of a vehicle that is itself a member of the vehicular micro cloud. The method includes receiving vehicular micro cloud data describing sensor measurements of a roadway environment and a rule set. The method includes predicting, based on the sensor measurements and the rule set, that a future road hazard will occur. The method includes executing a remedial action plan that obviates the future road hazard. In some embodiments, the remedial action plan is executed by one or more members of the vehicular micro cloud. In some embodiments, digital data describing the prediction and the remedial action plan is broadcast within the roadway environment.

Abstract: Systems and methods for fast vehicular micro cloud formation are disclosed herein. In one example, a system includes a processor and a memory in communication with the processor and having instructions. When executed by the processor, the instructions cause the processor to receive an identifier of the vehicle and determine if the identifier matches the information in stored metadata. If the identifier matches the information in the stored metadata, the vehicle is allowed to join the vehicular micro cloud without performing a standard onboarding procedure. Otherwise, a standard onboarding procedure is performed to allow the vehicle to join the vehicular micro cloud.

Abstract: Systems, methods, and other embodiments described herein relate to improving the identification of available parking spaces by inferring when a vehicle is likely to depart. In one embodiment, a method includes, responsive to acquiring sensor data about a surrounding environment including at least one parked vehicle, extracting a feature from the sensor data about a context of the parked vehicle. The method includes analyzing the feature to determine a status of the vehicle in relation to whether the vehicle is remaining parked. The method includes providing the status to inform additional vehicles about an availability of a parking spot of the parked vehicle.

Abstract: The disclosure includes embodiments for processing a set of wireless messages by an ego vehicle. A method includes determining a location of an object of interest in a roadway environment that includes the ego vehicle and a set of remote connected vehicles. The method includes segmenting the roadway environment into a plurality of segments. The method includes assigning priority scores to each of the segments based on (1) whether the forward-facing sensors of the remote connected vehicles present in the segment are capable of measuring the object of interest and (2) proximity of the remote connected vehicles in the segment to the object of interest, wherein segments have higher priority scores if the remote connected vehicles present in the segment have forward-facing sensors that are capable of measuring the object of interest and the remote connected vehicles present in the segment are closer to the object of interest.

Abstract: Systems, methods, and vehicles for correcting driving behavior of a driver of a vehicle are provided. The systems include a controller programmed to identify a repetitive movement pattern of a driver of a vehicle at a predetermined location based on accumulated driving data of the vehicle, implement digital twin simulation of the vehicle using the repetitive movement pattern and the digital twin simulation of another object to identify a potential conflict between the vehicle and the another object, and inform the driver of the vehicle about predetermined driving behavior in response to identifying the potential conflict.

Abstract: In accordance with one embodiment of the present disclosure, a method includes obtaining, with a sensor of a vehicle, a data set representing an external object, the data set having a first set of features, obtaining, with a receiver of the vehicle, a channel load about a radio frequency through which the data set may be transmitted, obtaining, with an environment sensor of the vehicle, context information about a road on which the vehicle is located, and processing the data set representing the external object based on the channel load and the context information to generate a reduced data set representing the external object, the reduced data set having a second set of features fewer than the first set of features.

Abstract: A method for planning lane-change actions considering string stability in a target lane is provided. The method includes learning a car following model based on training data related to a region, obtaining information about vehicles in a target lane in the region, simulating movements of the vehicles in the target lane responsive to an ego vehicle moving into the target lane based on the learned car following model and the information about the vehicles, determining whether the vehicles in the target lane will be string stable responsive to the ego vehicle moving into the target lane based on the simulated movements of the vehicles in the target lane, and instructing the ego vehicle to change lanes from a current lane to the target lane in response to determining that the vehicles in the target lane will be string stable responsive to the ego vehicle moving into the target lane.

Abstract: A method for mitigating lane-change disturbance based on cooperative maneuvering includes obtaining traffic data from a target lane, determining whether a traffic in the target lane becomes string unstable in response to an ego vehicle moving to the target lane based on learned car-following models and the traffic data, identifying a connected vehicle in the target lane in response to determining that the traffic in the target lane becomes string unstable in response to an ego vehicle moving to the target lane, and requesting that the identified connected vehicle change lanes from the target lane to another lane to obtain an empty space between a vehicle in front of the identified connected vehicle and a vehicle behind the identified connected vehicle or follow a suggested speed profile to obtain an empty space between the identified connected vehicle and a vehicle in front of the identified connected vehicle.

Abstract: A method for determining a cooperative maneuver for an ego vehicle is provided. The method includes determining a maneuver of the ego vehicle based on traffic information in a target lane, selecting one or more cooperative vehicles to be involved in the maneuver, determining whether the maneuver of the ego vehicle and actions of the one or more cooperative vehicles trigger congestion in the target lane based on simulation of the maneuver and the actions, instructing the ego vehicle to perform the maneuver in response to determining that the maneuver of the ego vehicle and actions of the one or more cooperative vehicles do not trigger congestion, and adjusting a number of cooperative vehicles to be involved in the maneuver in response to determining that the maneuver of the ego vehicle and actions of the one or more cooperative vehicles trigger congestion.