Abstract: Controlling maximum appliable positive and negative torque for a vehicle is provided. Vehicle data indictive of a driver torque request is received. Maximum appliable positive and negative torques for the vehicle are estimated. Responsive to the driver torque request being positive, the driver torque request is limited to the maximum appliable positive torque. Responsive to the driver torque request being negative, the driver torque request is limited to the maximum appliable negative torque.

Abstract: A vehicle includes a rear axle having wheels, friction brakes associated with the wheels, and a driver-actuatable input. A vehicle controller is programmed to, in response to the vehicle being in drift mode and the driver-actuatable input being actuated: command zero torque to the wheels, regardless of a driver-demanded torque, for a duration of time; command engagement of the friction brakes responsive to the duration of time ending; and command torque to the wheels responsive to a speed of the wheels being less than a threshold.

Abstract: A vehicle determines that a vehicle enhanced driving mode has been requested. The vehicle determines whether a condition for engaging such a mode has been met. Additionally, the vehicle offers a user-override, when the condition has not been met and the condition is a condition defined as over-rideable and responsive to override acceptance, engaging the requested driving mode. In other instances, the vehicle monitors mode usage against predefined maximum usage constraints, and may facilitate excess mode usage if constraints are exceeded.

Abstract: A vehicle determines that it is within a predefined proximity of a location for which an alternative tire pressure different from a current vehicle tire pressure has been defined. The vehicle changes a tire pressure monitoring system setting to utilize the alternative tire pressure as an alert threshold, responsive to determining that the vehicle is within the predefined proximity. Also, the vehicle determines that the vehicle has traveled more than a predefined distance from the location and, responsive to the vehicle having traveled more than a predefined distance, reverts the tire pressure monitoring system to use base settings for alert thresholds.

Abstract: Controlling maximum appliable positive and negative torque for a vehicle is provided. Vehicle data indictive of a driver torque request is received. Maximum appliable positive and negative torques for the vehicle are estimated. Responsive to the driver torque request being positive, the driver torque request is limited to the maximum appliable positive torque. Responsive to the driver torque request being negative, the driver torque request is limited to the maximum appliable negative torque.

Abstract: A vehicle includes a rear axle having wheels, friction brakes associated with the wheels, and a driver-actuatable input. A vehicle controller is programmed to, in response to the vehicle being in drift mode and the driver-actuatable input being actuated: command zero torque to the wheels, regardless of a driver-demanded torque, for a duration of time; command engagement of the friction brakes responsive to the duration of time ending; and command torque to the wheels responsive to a speed of the wheels being less than a threshold.

Abstract: A vehicle includes an axle having left and right wheels. The vehicle further includes left and right torque-vector control devices each having an actuator with a released position, a fully actuated position, and a plurality of intermediate positions. A vehicle controller is programmed to, in response to the vehicle turning and one of the actuators being actuated, command different torques to the left and right wheels to produce torque vectoring between the wheels, wherein a difference between the torques commanded to the wheels increases as the actuator moves toward the fully actuated position and decreases as the actuator moves toward the fully released position.

Abstract: A vehicle includes an axle having left and right wheels. The vehicle further includes left and right torque-vector control devices each having an actuator with a released position, a fully actuated position, and a plurality of intermediate positions. A vehicle controller is programmed to, in response to the vehicle turning and one of the actuators being actuated, command different torques to the left and right wheels to produce torque vectoring between the wheels, wherein a difference between the torques commanded to the wheels increases as the actuator moves toward the fully actuated position and decreases as the actuator moves toward the fully released position.

Abstract: A system and method for monitoring telephone calls to detect call traffic pumping activity and take corrective action is described. The system receives a group of training telephone calls having associated call audio content and associated information, and the system analyzes the training telephone calls to generate and store a classification model that correlates call features and associations with a probability of call traffic pumping activity. The system receives a subsequent monitored telephone call to be analyzed. The system analyzes the monitored telephone call to identify features present in the audio content of the monitored telephone call and other associated information. The system then compares the features and associated information to the stored classification model in order to determine a probability that the monitored telephone call is associated with call traffic pumping activity.

Abstract: A system and method for monitoring telephone calls to detect call traffic pumping activity and take corrective action is described. The system receives a group of training telephone calls having associated call audio content and associated information, and the system analyzes the training telephone calls to generate and store a classification model that correlates call features and associations with a probability of call traffic pumping activity. The system receives a subsequent monitored telephone call to be analyzed. The system analyzes the monitored telephone call to identify features present in the audio content of the monitored telephone call and other associated information. The system then compares the features and associated information to the stored classification model in order to determine a probability that the monitored telephone call is associated with call traffic pumping activity.

Abstract: A system and method for monitoring telephone calls to detect call traffic pumping activity and take corrective action is described. The system receives a group of training telephone calls having associated call audio content and associated information, and the system analyzes the training telephone calls to generate and store a classification model that correlates call features and associations with a probability of call traffic pumping activity. The system receives a subsequent monitored telephone call to be analyzed. The system analyzes the monitored telephone call to identify features present in the audio content of the monitored telephone call and other associated information. The system then compares the features and associated information to the stored classification model in order to determine a probability that the monitored telephone call is associated with call traffic pumping activity.

Abstract: A system and method for monitoring telephone calls to detect call traffic pumping activity and take corrective action is described. The system receives a group of training telephone calls having associated call audio content and associated information, and the system analyzes the training telephone calls to generate and store a classification model that correlates call features and associations with a probability of call traffic pumping activity. The system receives a subsequent monitored telephone call to be analyzed. The system analyzes the monitored telephone call to identify features present in the audio content of the monitored telephone call and other associated information. The system then compares the features and associated information to the stored classification model in order to determine a probability that the monitored telephone call is associated with call traffic pumping activity.