Abstract: The disclosure includes embodiments for providing on-demand street lighting for a connected vehicle. In some embodiments, a method includes controlling an operation of a street light based on a lighting policy and a presence of a connected vehicle. In some embodiments, the street light is operated consistent with the lighting policy. In some embodiments, the presence of the connected vehicle is determined based on a receipt of a wireless message that is transmitted by the connected vehicle. In some embodiments, the lighting policy is operable to reduce an energy consumption of the street light while also providing illumination for the connected vehicle.

Abstract: The disclosure includes embodiments for providing a vehicle risk evaluation and a modification for an onboard system of a vehicle to improve the operation of the onboard system. In some embodiments, a method includes generating a digital twin of a vehicle. The method includes receiving digital data recorded by a sensor and describing a condition of the vehicle as it exists in a real-world and a behavior of the vehicle as operated in the real-world. The method includes updating the digital twin of the vehicle based on the digital data so that the digital twin is consistent with the condition and the behavior.

Abstract: The disclosure includes embodiments for a digital behavioral twin for collision avoidance. In some embodiments, a method includes recording digital data describing a driving context and a driving behavior of a remote vehicle and an ego vehicle in this driving context. In some embodiments, one or more of the remote vehicle and the ego vehicle is a connected vehicle. The method includes determining a risk of a collision involving one or more of the remote vehicle and the ego vehicle based on a first digital behavioral twin of the remote vehicle, a second digital behavioral twin of the ego vehicle and the digital data. The method includes modifying an operation of the ego vehicle based on the risk.

Abstract: In an example embodiment, a computer-implemented method is disclosed that computes, using one or more processors, a path slack value for each path of a set of paths of a functional computing model. Each path of the set of paths comprises a set of tasks and the path slack value of each path reflects a difference between a deadline and a latency of the path. The method further determines a priority of each task of the set of tasks of each path based on the path slack value of the path, and allocates, using the one or more processors and based on the priority of each task, the tasks of each of the paths of the set to corresponding computing units from a set of computing units of an architectural platform.

Abstract: The disclosure includes a system, method, and tangible memory for generating a simulation. The method may include receiving real-world sensor stream data that describes a real-world data stream that is recorded by onboard sensors in one or more test vehicles, wherein the real-world sensor stream data describes real-world active agents and real-world environmental elements. The method may further include generating three-dimensional (3D) models of active agents and 3D models of environmental elements in a vehicle environment. The method may further include generating a simulation of the vehicle environment that synthesizes the real-world active agents with 3D models of active agents and synthesizes the real-world environmental elements with the 3D models of environmental elements.

Abstract: The disclosure includes embodiments of a lane change timing indicator for a connected vehicle. In some embodiments, a method includes determining a time and a path for an ego vehicle to change lanes. In some embodiments, the method includes displaying, on an electronic display device of the ego vehicle, one or more graphics that depict the time and the path.

Abstract: An example method receives sensor data of a vehicle at a localized server associated with a particular geographic region that has one or more roadway segments. The vehicle is located in the particular geographic region. The method analyzes the sensor data to determine one or more of a localized lane option and a localized path option for navigating the vehicle and provides the one or more of the lane and the path for navigating the vehicle to a centralized server executing a route planer. The centralized server has data covering a plurality of geographic regions. The method determines a centralized route option including one or more of the localized lane option and the localized path option and provides the centralized route option including the one or more of the localized lane option and the localized path option to a guidance selector of a navigation application of the vehicle for processing.

Abstract: The disclosure includes embodiments for providing on-demand street lighting for a connected vehicle. In some embodiments, a method includes controlling an operation of a street light based on a lighting policy and a presence of a connected vehicle. In some embodiments, the street light is operated consistent with the lighting policy. In some embodiments, the presence of the connected vehicle is determined based on a receipt of a wireless message that is transmitted by the connected vehicle. In some embodiments, the lighting policy is operable to reduce an energy consumption of the street light while also providing illumination for the connected vehicle.

Abstract: In an example embodiment, a method receives a first request of a first vehicle for a content item; receives travel data of the first vehicle including a first vehicle route of the first vehicle; determines first edge server(s) located on the first vehicle route of the first vehicle; segments the content item into content segment(s) based on the travel data of the first vehicle and edge information of each first edge server; and dispatches each content segment to the corresponding first edge server for transmission to the first vehicle.

Abstract: The disclosure includes embodiments for proactive vehicle maintenance scheduling based on one or more digital twin simulations. A method includes generating a digital twin of a vehicle. The method includes receiving digital data recorded by a sensor and describing the vehicle as it exists in a real-world and one or more historical journeys of the vehicle in the real-world. The method includes updating the digital twin of the vehicle based on the digital data describing the vehicle so that the digital twin is consistent with a condition of the vehicle as it exists in the real-world. The method includes executing a simulation based on the digital twin and the one or more historical journeys. The method includes estimating a component of the vehicle that fails at a future time based on the simulation. The method includes scheduling a reservation to repair the component before the future time.

Abstract: The disclosure includes implementations for providing subscription-based safety features in car sharing. A method may include subscription data describing how to modify an operation of a safety system of a vehicle based on the preferences of a driver. The driver may have reserved the vehicle for their use during a time period via a car sharing service. The safety system of the vehicle may be operable to provide a plurality of safety features. Configuration data included in the safety system may define which of the plurality of safety features are provided during the operation of the vehicle. The subscription data may describe the time period when the vehicle is reserved for the driver and a subset of the plurality of safety features for the vehicle that the driver prefers to be active during the time period. The method may include modifying the configuration data based on the subscription data.

Abstract: A system, method and tangible memory provides a graphical display output including a simulation for testing a design for a vehicle. The method extracts object data from accident data describing an object that contributed to a roadway accident occurring in a real world. The method extracts behavior data from the accident data describing the erroneous behavior of the object. The method constructs an error model that describes a virtual object that represents the object in the simulation based in part on the behavior data, a frequency input and a severity input. The method generates the graphical display output including the simulation based on a roadway model, a vehicle model and the error model. The simulation graphically depicts a virtual vehicle present on a virtual roadway system that includes the virtual object behaving dynamically in the simulation based on the error model.

Abstract: The disclosure includes embodiments for automatically generating a virtual pedestrian for inclusion in a digital simulation. Some embodiments of a method may include automatically generating a virtual pedestrian based on a path specification and a behavior specification. The method may include executing a digital simulation that includes the virtual pedestrian crossing an intersection and a virtual vehicle responding to the virtual pedestrian crossing the intersection, wherein the digital simulation is operable to measure a performance of a virtual Advanced Driver Assistance System (virtualized “ADAS system”) included in the virtual vehicle to protect the virtual pedestrian when responding to the virtual pedestrian crossing the intersection.

Abstract: The disclosure includes embodiments for autonomous feature optimization. In some embodiments, a method includes generating one or more candidate navigation routes for a driver of a vehicle. In some embodiments, the method includes determining a set of autonomous features to be provided by the vehicle for each of the one or more candidate navigation routes. In some embodiments, the method includes determining that the set of autonomous features includes an unsafe autonomous feature that is not safe to use during any part between the start point and the end point of the one or more candidate navigation routes. In some embodiments, the method includes displaying a user interface that includes the one or more candidate navigation routes and corresponding autonomous features that are available for each of the one or more candidate navigation routes, wherein the user interface excludes the unsafe autonomous feature.

Abstract: The disclosure includes implementations for executing one or more computations for a vehicle. Some implementations of a method for a vehicle may include identifying one or more computations as being un-executable by any processor-based computing device of the vehicle. The method may include generating a query including query data describing the one or more computations to be executed for the vehicle. The method may include providing the query to a network. The method may include receiving a response from the network. The response may include solution data describing a result of executing the one or more computations. The response may be provided to the network by a processor-based computing device included in a hierarchy of processor-based computing devices that have greater computational ability than any processor-based computing devices of the vehicle.

Abstract: In an example embodiment, a computer-implemented method is disclosed that broadcasts a request for a parking space, receives response(s) from responsive vehicle(s), and extracts set(s) of response data from the received response(s). Each set corresponds to a responsive vehicle and includes a vehicle attribute and a situational context for that corresponding responsive vehicle. The method further generates a dynamic parking model based on the vehicle attribute and the situational context included in each set of response data. The dynamic parking model maps estimated position(s) of the responsive vehicle(s) and further identifies, for each responsive vehicle, estimated unutilized distance(s) between the responsive vehicle and surrounding object(s) corresponding to the responsive vehicle. The method further determines, from the responsive vehicle(s), a group of one or more relocatable vehicles based on the dynamic parking model, and instructs the group to relocate to create the requested parking space.

Abstract: The disclosure includes embodiments for autonomous feature optimization. In some embodiments, a method includes generating one or more candidate navigation routes for a driver of a vehicle. In some embodiments, the method includes determining a set of autonomous features to be provided by the vehicle for each of the one or more candidate navigation routes. In some embodiments, the method includes determining that the set of autonomous features includes an unsafe autonomous feature that is not safe to use during any part between the start point and the end point of the one or more candidate navigation routes. In some embodiments, the method includes displaying a user interface that includes the one or more candidate navigation routes and corresponding autonomous features that are available for each of the one or more candidate navigation routes, wherein the user interface excludes the unsafe autonomous feature.

Abstract: An example method broadcasts a first message to a vehicle entering a coverage area of an access point proximate a roadway, and receives a response from the vehicle under local advanced drive assistance system (ADAS) control within the coverage area. The method determines, based on the ADAS capability of the vehicle, whether to assume a first remote ADAS control of the vehicle by a remote ADAS controller communicating with the vehicle via the access point. In response to determining to assume the first remote ADAS control, the method requests override permission for the first remote ADAS control from a local ADAS controller of the vehicle, receives an override confirmation from the local ADAS controller permitting the first remote ADAS control within the coverage area of the access point, and responsive to receive the override confirmation, provides a first remote ADAS control instruction to the local ADAS controller of the vehicle.

Abstract: The disclosure includes a system, method and tangible memory for depicting a graphical display output including a visualization of a virtual roadway including a curve that complies with a curve testing standard. The method may include providing a set of curve data describing one or more criteria of the curve testing standard to a Satisfiability Modulo Theories solver (“SMT solver”). The SMT solver is operable to analyze the one or more criteria to output a three-dimensional coordinate. The method may include providing the three-dimensional coordinate to the virtualization application as an input. The virtualization application may be operable to generate curves based on a three-dimensional coordinate received as an input. The method may include the virtualization application generating graphical data based on the input that causes the electronic display to depict the visualization including the virtual roadway including the curve that complies with the curve testing standard.

Abstract: The disclosure includes embodiments for improving the performance of a set of Advanced Driver Assistance Systems (“ADAS systems”) included in a vehicle design for a Highly Autonomous Vehicle (“HAV”). A method includes generating simulation data. The method includes providing the simulation data, vehicle model data and ADAS model data as inputs to a simulation application. The method includes executing the simulation application based on the inputs to provide a set of simulations which are configured to test one or more variations for the set of ADAS systems included in the vehicle design in one or more simulated driving scenarios. The method includes analyzing the operation of the different variations for the set of ADAS systems in the set of simulations to automatically generate review data that quantitatively describes one or more areas for improving the operation of the set of ADAS systems included in the vehicle design.