Abstract: The disclosure includes embodiments for early detection of abnormal driving behavior. A method according to some embodiments includes sensing, by a sensor set of an ego vehicle, a remote vehicle to generate sensor data describing driving behavior of the remote vehicle. The method includes comparing the sensor data to a set of criteria for abnormal driving behavior. The method includes determining that a subset of the set of criteria are described by the sensor data. The subset satisfies a threshold for early detection of abnormal driving behavior. For example, detecting the subset triggers the determination that abnormal driving behavior is detected. The method includes determining that the remote vehicle is engaged in abnormal driving behavior based on satisfaction of threshold. In some embodiments, an abnormal driving behavior is one which satisfies a threshold for abnormality or matches a pattern of an identified abnormal driving behavior.

Abstract: The disclosure includes embodiments for managing vehicles under anomalous driving behavior. In some embodiments, a method includes determining, by the processor, an ego behavior associated with the ego vehicle and a remote behavior associated with a remote vehicle. The method includes calculating a variance between the ego behavior and the remote behavior. The method includes determining a presence of an anomaly based on the variance satisfying a threshold, wherein the satisfying the threshold indicates the ego behavior is incompatible with the remote behavior. The method includes generating a driving management plan which is configured to mitigate the anomaly and is consistent with the ego behavior. The method includes implementing the driving management plan so that the threshold is no longer satisfied.

Abstract: A system for determining an identification of an occupant within a vehicle can include a processor, a communications interface, and a memory. The memory can store an information reception module, an identification prediction module, and an actuation module. The information reception module can cause the processor to receive, via the communications interface, from at least one sensor, and at a time when a source of a propulsion force for the vehicle is in an off state, at least one signal having information about at least one detectable characteristic associated with the occupant within the vehicle. The identification prediction module can cause the processor to produce, based on the information, a prediction of the identification of the occupant. The actuation module can cause the processor to cause, in response to a production of the prediction, a setting of a component of the vehicle to have a specific value.

Abstract: Describe are systems and methods for implementing a peer-to-peer (P2P) wireless group acting as a vehicular micro cloud. In one example, a system includes a processor and a memory in communication with the processor having a group coordination service module. The group coordination service module has instructions that, when executed by the processor, cause the processor to select a vehicle out of a plurality of vehicles to act as a group owner of a P2P wireless group operating as a vehicular micro cloud based on vehicle status information from the plurality of vehicles and transmit group configurations of the first P2P wireless group to the plurality of vehicles to allow the plurality of vehicles to join the first P2P wireless group. The selection of the vehicle may be based on how long the vehicle is predicted to be a member of the vehicular micro cloud.

Abstract: A method includes receiving first data from one or more vehicles in a geographic area, the first data indicating operation of an active safety system by at least one of the one or more vehicles, receiving second data indicating driving performance of the one or more vehicles, determining whether the driving performance of the one or more vehicles in the geographic area is improved or diminished by the use of the active safety system based on the first data and the second data, and transmitting a signal to a vehicle approaching the geographic area to cause the vehicle approaching the geographic area to activate or deactivate the active safety system based on the determination.

Abstract: Systems and methods for managing driver habits are disclosed herein. One embodiment learns undesirable driving habits of a driver over time as the driver operates a vehicle; identifies, for each learned undesirable driving habit, one or more situational triggers associated with that undesirable driving habit; receives information from one or more of vehicle sensors and one or more external sources; predicts that the driver will engage in a particular undesirable driving habit; and carries out one or more of the following avoidance strategies to assist the driver in refraining from engaging in the particular undesirable driving habit: communicating one or more speed advisories to the driver; suggesting an alternate route to the driver; and presenting the driver with one or more of a coupon, an offer, and a discount at a place of business to encourage the driver to take a break by stopping at the place of business.

Abstract: A method includes receiving network statistics from one or more vehicles that are members of a vehicular micro cloud. The method further includes detecting a degradation in vehicle-to-vehicle (V2V) communication performance based on the network statistics. The method further includes generating a communication graph based on the network statistics. The method further includes dividing the vehicular micro cloud into subgroups based on the communication graph.

Abstract: The disclosure includes embodiments for improving an operation of a vehicular micro cloud by increasing a continuity of a vehicular micro cloud service provided by the vehicular micro cloud. A method includes maintaining a data structure of stored driving maneuver shapes, wherein each stored driving maneuver shape includes a set of driving maneuvers. The method includes sensing a candidate vehicle and a driving maneuver shape of the candidate vehicle. The method includes determining a matching driving maneuver shape from the stored driving maneuver shapes based on a match between the driving maneuver shape of the candidate vehicle and at least a portion of the matching driving maneuver shape. The method includes estimating a next driving maneuver of the candidate vehicle. The method includes assigning a role to the candidate vehicle in the vehicular micro cloud based on the next driving maneuver of the candidate vehicle.

Abstract: In an example, a method may assign a first drone of a drone network a first task, the first task may instruct the first drone to transport a first package to a first destination in a geographic area. The method may receive roadway traffic data for a plurality of roadway vehicles in the geographic area; determine, based on the roadway traffic data and during transit of the first package to the first destination by the first drone, to transfer the first package to a second drone in the drone network; and transfer the first package to the second drone in the drone network.

Abstract: A method includes, at a first level manager, receiving vehicle data from a plurality of vehicles, aggregating the vehicle data, determining a first variable associated with the plurality of vehicles based on the aggregated vehicle data, and transmitting the aggregated vehicle data to a second level manager. The second level manager is in a higher hierarchical level than the first level manager. The method further includes, at a second level manager, determining a second variable based on the received aggregated vehicle data, determining whether the first and second variable conform to a predetermined dependency among the variables, and identifying an anomaly based on the determination.

Abstract: The disclosure includes embodiments for a connected vehicle to form a vehicular micro cloud. In some embodiments, a method includes determining, by an onboard vehicle computer, that a queue is present in a roadway environment and that a vehicle that includes the onboard vehicle computer is present in the queue. The method includes causing a set of member vehicles to form a vehicular micro cloud in the roadway environment responsive to determining that the queue is present in the roadway environment so that determining that the queue is present triggers a formation of the vehicular micro cloud, where the vehicular micro cloud includes a set of vehicles which each share all of their unused vehicular computing resources with one another to generate a pool of vehicular computing resources that exceeds a total vehicular computing resources of any single member vehicle and is used to benefit the set of member vehicles.

Abstract: The disclosure includes embodiments for identifying an origin of abnormal driving behavior for improved vehicle operation. A method includes identifying an abnormal driving behavior of a driver of a vehicle at a time T. The method includes identifying a set of events that occurred within a predetermined time ?t before time T. The method includes executing, by a processor, a cause-and-effect analysis on the set of events to determine one or more events from the set of events that caused the abnormal driving behavior. The method includes executing a strategy to reduce the abnormal driving behavior so that vehicle operation is improved.

Abstract: System, methods, and embodiments described herein relate to managing benefit distribution in a vehicular micro cloud in which a plurality of vehicle members collaboratively execute operations in an environment of the vehicular micro cloud. A disclosed method may include monitoring a distributed execution of a micro cloud operation initiated by the ego vehicle, determining a contribution level of a vehicle member of the vehicular micro cloud that contributed toward completing the micro cloud operation, storing a record indicating the contribution level, identifying an occurrence of an event, the event being a micro cloud interaction or encounter with the vehicle member subsequent to completion of the micro cloud operation, determining, based at least in part on the record indicating the contribution level, a reciprocal task that benefits the vehicle member, and executing the reciprocal task during the event.

Abstract: A method of operating a traffic management system may comprise identifying a vehicle queue in a first lane of a road based on sensor data from one or more connected vehicles traveling along the road, determining driving instructions for a connected vehicle within a queue management region in a second lane, adjacent to the first lane, to create a gap in front of the connected vehicle for a vehicle in the vehicle queue to change lanes into the gap, and transmitting the driving instructions to the connected vehicle.

Abstract: A method for autonomous path planning triggered by freeway rubbernecking includes obtaining gaze directions of drivers of a plurality of connected vehicles in a region of a road. The method also includes determining whether an average speed of the plurality of connected vehicles in the region is less than a predetermined speed. The method further includes controlling mobility of one or more of the plurality of connected vehicles in response to determining that the gaze directions of one or more drivers of the plurality of connected vehicles deviate from the moving direction of the connected vehicles and determining that the average speed of the connected vehicles is less than the predetermined speed.

Abstract: A method may include determining whether a plurality of vehicles, each having an application installed are expected to be present within a predetermined distance of a location of an event. The method may further include comparing versions of the applications among the plurality of vehicles and, in response to determining that the plurality of vehicles are expected to be present within the predetermined distance of the location and determining that the versions of the applications among the plurality of vehicles are different, adjusting a version of the application installed in one or more of the plurality of vehicles.

Abstract: The disclosure includes embodiments of connected vehicle maneuvering management for a set of vehicles. A method includes analyzing sensor data to determine a driver behavior pattern responsive to in-lane interaction and out-lane interaction. The method includes determining ego index data for an ego driver of the ego vehicle based on the in-lane interaction and the out-lane interaction. The method includes retrieving a set of remote index data for a set of remote connected vehicles in a vicinity of the ego vehicle. The method includes determining a current driving context of the ego vehicle including current in-lane interaction and current out-lane interaction. The method includes causing an operation of at least one of the ego vehicle and one or more of the set of remote connected vehicles to be modified.

Abstract: System, methods, and embodiments described herein relate to providing platoon leadership as a service. At least one method includes receiving, from a platoon, a request for a platoon leader, the request indicating a location and a situation class, sending out a search query for a vehicle having experience in handling the situation class, receiving, from a responding vehicle, a response to the search query, the response indicating an experience level in handling the situation class, selecting the responding vehicle as a new leader based at least in part on the response, assigning the new leader to the platoon and providing instructions to the new leader that cause the new leader to assume a lead position in the platoon and lead the platoon through an area exhibiting the situation class.

Abstract: Systems and methods for analyzing the in-lane driving behavior of an external road agent are disclosed herein. One embodiment generates a sequence of sparse 3D point clouds based on a sequence of depth maps corresponding to a sequence of images of a scene; performs flow clustering based on the sequence of depth maps and a sequence of flow maps to identify points across the sequence of sparse 3D point clouds that belong to a detected road agent; generates a dense 3D point cloud by combining at least some of the points across the sequence of sparse 3D point clouds that belong to the detected road agent; detects one or more lane markings and projects them into the dense 3D point cloud to generate an annotated 3D point cloud; and analyzes the in-lane driving behavior of the detected road agent based, at least in part, on the annotated 3D point cloud.

Abstract: System, methods, and embodiments described herein relate to receiving observation data from a reporting entity, the observation data including location data and sensor information associated with a subject vehicle, analyzing the observation data to identify ADR behavior of the subject vehicle, obtaining secondary observation data from secondary reporting entities in a vicinity determined based on the location data, determining, based at least in part on the secondary observation data, that the subject vehicle has engaged in the ADR behavior or that the subject vehicle has not engaged in the ADR behavior, analyzing the observation data and the secondary observation data, when the subject vehicle has been confirmed to have engaged in the ADR behavior, to determine a measure of effect that the ADR behavior has had on other vehicles, and executing a responsive action associated with the subject vehicle based at least in part on the measure of effect.