Abstract: Vehicles feature various forms of automated driving control, such as speed control and braking distance monitoring. However, the parameters of automated control may conflict with the user driving behaviors of the user; e.g., braking distance maintained with respect to a leading vehicle may seem overcautious to users who prefer shorter braking distances, and unsafe to users who prefer longer braking distances. Presented herein are techniques for controlling vehicles according to the user driving behaviors of users. While a user operates a vehicle in a driving context, a device monitors various driving features (e.g., acceleration or braking) to determine various user driving behaviors. When requested to control a driving feature of the vehicle, a controller may identify the user driving behaviors of the user in the driving context, and control the driving features according to the user driving behaviors, thus personalizing automated driving to the preferences of the user.

Abstract: One or more techniques and/or systems are provided for operating an autonomous vehicle based upon a driving preference. For example, a driving profile, comprising a driving preference (e.g., a speed preference, a route preference, etc.) of a user, may be provided to an automated driving component of the autonomous vehicle. An operational parameter for the autonomous vehicle may be generated based upon the driving preference of the user. The autonomous vehicle may be operated based upon the operational parameter. In an example, a condition of the user traveling in the autonomous vehicle may be determined, and the operational parameter for the autonomous vehicle may be adjusted based upon the condition of the user not corresponding to the driving preference.

Abstract: One or more techniques and/or systems are provided for operating an autonomous vehicle based upon a driving preference. For example, a driving profile, comprising a driving preference (e.g., a speed preference, a route preference, etc.) of a user, may be provided to an automated driving component of the autonomous vehicle. An operational parameter for the autonomous vehicle may be generated based upon the driving preference of the user. The autonomous vehicle may be operated based upon the operational parameter. In an example, a condition of the user traveling in the autonomous vehicle may be determined, and the operational parameter for the autonomous vehicle may be adjusted based upon the condition of the user not corresponding to the driving preference.

Abstract: Vehicles in transit within a location may transmit and/or receive information about transit events arising within the location, such as accidents, developing weather, and road obstructions. Because localized exchange channels, such as a radiofrequency broadcast, may be range-limited and/or unreliable, a centralized service may be provided to facilitate the exchange of notifications about transit events, but it may be difficult to provide a centralized service that is both scalable to millions of vehicles and capable of low-latency exchange of time-sensitive notifications for transit events. The techniques presented herein provide an architecture for broadcasting transit events through a transit service that maintains vehicle area groups, respectively identifying the vehicles that are associated with each location.

Abstract: A user driving a vehicle may be monitored by a device on behalf of a third party, such as employers and insurers. The device may generate an objective evidentiary record of the user's driving safety and/or proficiency for use by the third party. The user may wish to share the evidentiary record with other parties, but the third party that controls the record may not agree and/or release the record. A user-generated record of the user's driving behavior may be untrustworthy and/or unverifiable. Instead, a device of the user monitors the operation of the vehicle by the user, generates a driving profile of the user's driving behavior and risk rating, and cryptographically signs the driving profile. The cryptographically signed driving profile is transmitted to the user for sharing with third parties, e.g., potential employers and insurers, and the authenticity of the driving profile is verifiable using the cryptographic signature.

Abstract: Various types of vehicle navigation may facilitate a driver of a vehicle, including lane suggestions (e.g., a message indicating that the current route of the vehicle involves an exit from the rightmost lane of a causeway). A device may be configured to formulate lane change suggestions by detecting a current lane of the driver; comparing the travel conditions of the current lane with the travel conditions of other lanes of the causeway; and presenting a lane change suggestion of another lane presenting advantageous travel conditions as compared with the current lane. The inclusion of the current lane in the selection and formulation of lane change suggestions may improve the relevance of the suggestions (e.g., presenting lane change suggestions only if the travel condition of another lane is advantageous over the current lane, and presenting lane change suggestions relative to the current lane, e.g., “move two lanes to the left”).

Abstract: One or more techniques and/or systems are provided for operating an autonomous vehicle based upon a driving preference. For example, a driving profile, comprising a driving preference (e.g., a speed preference, a route preference, etc.) of a user, may be provided to an automated driving component of the autonomous vehicle. An operational parameter for the autonomous vehicle may be generated based upon the driving preference of the user. The autonomous vehicle may be operated based upon the operational parameter. In an example, a condition of the user traveling in the autonomous vehicle may be determined, and the operational parameter for the autonomous vehicle may be adjusted based upon the condition of the user not corresponding to the driving preference.

Abstract: Estimates may be compiled of a volume of travelers in an area, such as vehicles, pedestrians, and migratory wildlife. Such estimates are often compiled through human observation and/or the deployment of regional monitoring equipment, such as roadside cameras and road-embedded sensors; however, such techniques may entail significant costs in equipment purchase, deployment, monitoring, and maintenance, and may exhibit inadequate accuracy and/or rapidity of data collection. Presented herein are techniques for estimating a traveler volume in an area by using an aerial device, such as a drone, to capture an aerial image of the area from an aerial perspective, and applying object recognition machine vision techniques to recognize and count the travelers depicted in the aerial image. Such data may be used to estimate traveler volume; to evaluate transit patterns of the travelers throughout a region; and/or to control transit patterns of the travelers using transit control devices.