Apparatuses, systems, and methods are provided for the utilization of vehicle control systems to cause a vehicle to take preventative action responsive to the detection of a near short term adverse driving scenario. A vehicle control system may receive information corresponding to vehicle operation data and ancillary data. Based on the received vehicle operation data and the received ancillary data, a multi-dimension risk score module may calculate risk scores associated with the received vehicle operation data and the received ancillary data. Subsequently, the vehicle control systems may cause the vehicle to perform at least one of a close call detection action and a close call detection alert to lessen the risk associated with the received vehicle operation data and the received ancillary data.

Apparatuses, systems, and methods are provided for the utilization of vehicle control systems to cause a vehicle to take preventative action responsive to the detection of a near short term adverse driving scenario. A vehicle control system may receive information corresponding to vehicle operator data and ancillary data. Based on the received vehicle operator data and the received ancillary data, a multi-dimension risk score module may calculate risk scores associated with the received vehicle operator data and the received ancillary data. Subsequently, the vehicle control systems may cause the vehicle to perform at least one of a close call detection action and a close call detection alert to lessen the risk associated with the received vehicle operator data and the received ancillary data.

A vehicle system includes a processor programmed to perform a self-diagnostic test, of the processor, in response to receiving an impact signal. The impact signal represents an impact involving a host vehicle. The processor is further programmed to request remote processing of at least one autonomous vehicle operation in response to the processor failing the self-diagnostic test.

An approach is provided in which a powertrain synchronizer analyzes condition data that corresponds to impending conditions external to a vehicle. The powertrain synchronizer predicts a driver's future action in response analyzing the condition data and adjusts the vehicle's powertrain subsystem based upon the predicted driver action.

Apparatuses, systems, and methods are provided for the utilization of vehicle control systems to cause a vehicle to take preventative action responsive to the detection of a near short term adverse driving scenario. A vehicle control system may receive information corresponding to vehicle operation data and ancillary data. Based on the received vehicle operation data and the received ancillary data, a multi-dimension risk score module may calculate risk scores associated with the received vehicle operation data and the received ancillary data. Subsequently, the vehicle control systems may cause the vehicle to perform at least one of a close call detection action and a close call detection alert to lessen the risk associated with the received vehicle operation data and the received ancillary data.

Systems and method for synchrophasing aircraft engines are disclosed. One method comprises receiving data indicative of a sensed vibration level associated with a first aircraft engine and a second aircraft engine operating at a substantially same operating speed and commanding one or more momentary changes in operating speed of the second aircraft engine until the sensed vibration level substantially reaches a target vibration level. The momentary changes in operating speed of the second aircraft engine is commanded irrespective of phase information associated with imbalances of the first and second aircraft engines.

The present disclosure provides systems and methods for determining autonomous vehicle navigation settings and/or adjustments. In some aspects, vehicles may comprise an environmental sensor, processor, a navigation controller, and software causing the systems to utilize current location information, extrapolated location information, and a priori path locations, along with vehicle control settings, to output updated steering, braking, and throttling settings. In some aspects, methods may be utilized that reliably determine deviation from a known path that would be caused by current vehicle settings, and use the deviation to adjust the vehicle settings to improve following of the path, while optimizing vehicle attributes like speed, fuel economy, tire wear, or the like as able given primary navigation goals.