Abstract: A vehicular hazard mitigation system includes one or more processors and a memory communicably coupled to the processors. The memory may store a vehicular hazard mitigation module including computer-readable instructions that when executed by the processors cause the processors to determine a base vehicle currently driving in an enhanced response driving mode. After determining the base vehicle, at least one alert zone of the base vehicle is determined. A determination is then made as to whether at least one other vehicle is currently in the at least one alert zone of the base vehicle. If at least one other vehicle is currently in the at least one alert zone of the base vehicle, the vehicular hazard mitigation module may autonomously control operation of the base vehicle to shift the driving mode of the base vehicle from the enhanced response driving mode to a non-enhanced response driving mode.

Abstract: Systems and methods for cooperatively managing mixed traffic at an intersection are disclosed herein. One embodiment determines, at an autonomous sensor-rich vehicle, that one or more other vehicles are following in the same lane, the one or more other vehicles including at least one legacy vehicle; communicates with the one or more other vehicles to form a platoon; receives Signal Phase and Timing (SpaT) information from a roadside unit associated with an intersection toward which the platoon is traveling; calculates at the autonomous sensor-rich vehicle, based at least in part on the SPaT information and location information for the platoon, a speed profile and a trajectory for the autonomous sensor-rich vehicle that minimize a delay of the platoon in traversing the intersection while accounting for fuel consumption; and executes the speed profile and the trajectory to control indirectly the one or more other vehicles while the platoon traverses the intersection.

Abstract: The disclosure includes embodiments of personalizing a shared ride in a mobility-on-demand service using a response matrix. A method includes receiving feedback from a first set of users that share a first shared ride, wherein the feedback describes their individual satisfaction with the first shared ride. The method includes updating, by the processor, a response matrix to include the feedback, wherein the response matrix includes digital data describing historical user satisfaction with a plurality of shared rides over time. The method includes matching, by the processor, a second set of users to a second shared ride based on service profile data for the users, vehicle data for vehicles, and the response matrix so that the satisfaction of the second set of users with the second shared ride is improved based on the response matrix.

Abstract: Based on a model and an identity of an operator of a vehicle, a setting for a cruise control to maintain a distance between the vehicle and a preceding vehicle can be determined. The model can be based on historical distances maintained by the operator. The model can also be based on information about an environment in which the vehicle is operating or information about a state of the operator. The identity can be received from an interface configured to receive information associated with the identity, a cloud computing platform, or a biometric system configured to determine the identity. The cruise control can be caused to operate according to the setting. A rate of energy consumption by the vehicle when the vehicle is controlled by the cruise control can be less than the rate of energy consumption when the vehicle lacks being controlled by the cruise control.

Abstract: A method for rideshare personalization may include identifying one or more unmet needs among a set of needs of a user during a ride of a vehicle based on data from a sensor of the vehicle, updating a user profile of the user to include the one or more unmet needs in association with a set of contextual data related to the ride, and providing services associated with the one or more unmet needs to the user during another ride based on the updated user profile and the set of contextual data related to the another ride.

Abstract: Systems, methods, and other embodiments described herein relate to guiding a vehicle along a path. In one embodiment, a method includes generating a virtual environment that includes a virtual version of the path and a marker indicating a demarcation along the path. The method includes generating a virtual rendition of the vehicle in the virtual environment. The virtual rendition of the vehicle including a virtual version of the vehicle and one or more guard rails that are spaced from the perimeter of the virtual version of the vehicle. The method includes predicting whether the virtual rendition of the vehicle will intersect with the marker, and determining an act to assist in preventing the virtual rendition of the vehicle from intersecting with the marker.

Abstract: System, methods, and other embodiments described herein relate to a control system to improve estimating motion for an automated vehicle related to cooperative driving. In one embodiment, a method includes monitoring, by an ego vehicle, a communication link for motion data of a target vehicle, used in a model to determine motion, for motion planning by the ego vehicle. The method also includes estimating trajectory of the target vehicle according to a motion estimate by the model when criteria for the communication link are unsatisfied. The method also includes adjusting the motion estimate using a modified model, adapted for speed of the target vehicle, when the criteria for the communication link are satisfied. The method also includes controlling the ego vehicle according to the trajectory and the motion estimate.

Abstract: A method comprises receiving driving data from a plurality of connected vehicles approaching an intersection, the driving data comprising a speed and position of a connected vehicle, determining estimated times of arrival that each of the connected vehicles will arrive at the intersection based on the driving data, scheduling the connected vehicles to cross the intersection in a particular order based on the estimated times of arrival, and transmitting the scheduled order to the connected vehicles.

Abstract: An anchor vehicle includes a network device configured to access a network using dedicated wireless connectivity, and a processor. The processor is programmed to: receive a request for accessing the network using the dedicated wireless connectivity from a connected vehicle; determine whether the connected vehicle has consented to monitoring compliance with a warranty of the connected vehicle; and provide, to the connected vehicle, access to the dedicated wireless connectivity via the anchor vehicle in response to determining that the connected vehicle has consented to monitoring the compliance with the warranty of the connected vehicle.

Abstract: A method comprises making initial predictions of whether a first vehicle will perform a lane change at a plurality of future time steps based on sensor data captured by an egovehicle; and in response to making an initial prediction that the first vehicle will perform a lane change at a first one of the future time steps, making final predictions that the first vehicle will perform a lane change at each of a plurality of time steps subsequent to the first one of the future time steps.

Abstract: A method includes receiving requests to form a vehicle platoon from a plurality of vehicles, determining terms of a contract for the plurality of vehicles to form the vehicle platoon comprising a lead vehicle and one or more follower vehicles, and transmitting terms of the contract to the plurality of vehicles. The terms of the contract comprise the lead vehicle receiving a first payment, at least one of the follower vehicle making a second payment, and each of the follower vehicles receiving vehicle data from the lead vehicle according to a unique service profile associated with each follower vehicle.

Abstract: A server can assist connected vehicles merging from a ramp onto a main lane. A connected vehicle can be configured to communicate with the server. Connected vehicles on the main lane and connected vehicles on the ramp can send their locations and speeds to the server. The server can determine when at least one connected vehicle is within a geo-fence surrounding a merging point, where the main lane and the ramp meet. The server can determine an order in which the connected vehicles on the main lane and on the ramp can merge based on the connected vehicles' locations and speeds. The server can determine an advisory speed for at least one of the connected vehicles based on the order. The server can send the advisory speed to the at least one connected vehicle.

Abstract: System, methods, and other embodiments described herein relate to isolating a compartment. In one embodiment, a method includes isolating airflow to an occupant by actuation of a partition in response to a signal indicating a risk and the partition utilizes an inflatable bladder to seal an area of a compartment in a vehicle. The method also includes communicating a precaution associated with the actuation to occupants.

Abstract: Candidate routes, from an origination to a destination, can be produced. Information can be obtained. The information can be of likelihoods of encounters, along the candidate routes, with types of driving situations demonstrated to cause changes in a degree of confidence, of an occupant of an autonomous vehicle, that a controller of the autonomous vehicle will be able to control the autonomous vehicle so that a result of the encounters is not a collision. Take-over probabilities can be obtained. The take-over probabilities can be of likelihoods that the occupant, in response to the encounters, will cause control of the autonomous vehicle to be transferred to the occupant. Based on the information and take-over probabilities, a route from the origination to the destination can be selected from the candidate routes. The autonomous vehicle can be caused to be configured to commence to move in a direction in accordance with the route.

Abstract: A method for preventing an operation of a car application that causes a quality of service of an operation of a computer system of a vehicle to be reduced below a threshold can include receiving, from a separate source, a value indicative of the quality of service of the operation of the computer system during the operation of the car application in conjunction with the operation of the computer system. The method can include determining an existence of a condition. The condition can be that the value is less than the threshold. The method can include causing, in response to a determination of a lack of the condition, the car application to be in a condition to be operated on the vehicle. The method can include preventing, in response to a determination of the existence of the condition, the car application from being in the condition to be operated.

Abstract: A method includes capturing object data using a data capture device of a vehicle, determining that the captured object data includes a relevant object based on a user profile associated with an occupant of the vehicle, and executing a notification at the vehicle indicating a presence of the relevant object in response to determining that the captured object data includes the relevant object.

Abstract: In one embodiment, a vehicle merge control system generates sensor data that indicates a detected vehicle in an environment of the ego vehicle, identifies a conflict based at least in part on the sensor data indicating that the detected vehicle and the ego vehicle are traveling: 1) in adjacent lanes that will merge into a single lane, and 2) at respective speeds that will result in the detected vehicle entering within a threshold range of the ego vehicle, determines, upon identification of the conflict, merge position assignments for the ego vehicle and the detected vehicle based at least in part on a game theory cost function applied to game theory actions that result in the merge position assignments exclusively being either a lead vehicle or follower vehicle, and outputs an acceleration rate to achieve the merge position assignment for the ego vehicle.

Abstract: The disclosure includes embodiments for a cloud server to transmit a set of wireless communications. A method includes wirelessly receiving, by the cloud server, context data from a set of connected vehicles, where the context data describes (1) a context for the set of connected vehicles and (2) a set of vehicular communications to be sent by the set of connected vehicles, including digital data describing payloads and recipients for these vehicular communications. The method includes executing a set of digital twin simulations based on the context data to generate communication plan data describing a communication plan for transmitting a set of non-vehicular communications which include a same payloads and recipients for the set of vehicular communications. The method includes wirelessly transmitting, by the cloud server, the set of non-vehicular communications in compliance with the communication plan and the standards governing transmission of vehicular communications.

Abstract: An edge device can send a vehicle-specific alert to a connected vehicle, which is configured to communicate with the edge device. The edge device can receive observations of other vehicles on the road from connected vehicles and/or roadside units. The edge device can also receive driving history and/or other information about the other vehicles from a server. The edge device can classify the behavior of vehicles detected in the observations based on the observations, driving history, and/or other information. Based on the classified behavior, the edge device can determine whether and how the connected vehicle is impacted and, if impacted, send the vehicle-specific alert to the connected vehicle.

Abstract: System, methods, and other embodiments described herein relate to improving monitoring of traffic flows. In one embodiment, a method includes aggregating perception data associated with a road network from information sources to a server over a network. The method also includes generating a graph structure from the perception data in association with a neural network model. The graph structure is an incomplete representation of the road network in view of missing data. The method also includes completing the graph structure using the neural network model that forms a graph model of the traffic flows to de-noise the graph structure according to road constraints between two points in the road network. The method also includes communicating the graph model of the traffic flows to a vehicle to navigate traffic in the road network.