Abstract: Systems and methods are disclosed for supporting and executing automated control of climate comfort settings based on user classification within a group identity database. Methods of generating and employing the group identity database are also disclosed.

Abstract: Systems and methods are disclosed for supporting and executing automated control of adjustable components of a vehicle based on occupant classification in a group identity database. Methods and systems for generating and employing the group identity database are also disclosed. Occupancy information may be utilized to determine how the group identity database is employed.

Abstract: A method and system for navigating a vehicle based upon data of a group includes automatically determining a specific group identity for an operator and one or more occupants of a vehicle by digitally identifying the operator and the one or more occupants of the vehicle based upon Received Signal Strength Indication (RSSI) of a wireless network with multiple antennas in the vehicle to estimate localization of wireless devices of the operator and the one or more occupants, evaluating parameters associated with the specific group identity, and determining a path for the vehicle based upon the specific group identity.

Abstract: Systems and methods are disclosed for optimizing an antenna topology to detect a seating position of a vehicle occupant. Methods and systems for determining a target position for an antenna of the antenna topology are also disclosed. Determining the target position may be based on a comparison of a predicted seating position to a true seating position.

Abstract: Systems and methods are disclosed for supporting and executing automated control of adjustable components of a vehicle based on occupant classification in a group identity database. Methods and systems for generating and employing the group identity database are also disclosed. Occupancy information may be utilized to determine how the group identity database is employed.

Abstract: Systems and methods are disclosed for supporting and executing automated control of adjustable components of a vehicle based on occupant classification in a group identity database. Methods and systems for generating and employing the group identity database are also disclosed. Occupancy information may be utilized to determine how the group identity database is employed.

Abstract: Systems and methods are disclosed for optimizing an antenna topology to detect a seating position of a vehicle occupant. Methods and systems for determining a target position for an antenna of the antenna topology are also disclosed. Determining the target position may be based on a comparison of a predicted seating position to a true seating position.

Abstract: Systems and methods are disclosed for supporting and executing automated control of climate comfort settings based on user classification within a group identity database. Methods of generating and employing the group identity database are also disclosed.

Abstract: Systems and methods are disclosed for supporting and executing automated control of climate comfort settings based on user classification within a group identity database. Methods of generating and employing the group identity database are also disclosed.

Abstract: Methods and systems are provided for selectively inhibiting a stop-start controller of a vehicle based on a predicted anxiety of a driver of the vehicle on a road segment that includes one or more road attributes associated with increased levels of anxiety. In one example, selectively inhibiting a stop-start controller of a vehicle based on a predicted anxiety of a driver of the vehicle includes determining a driver classification for a driver operating the vehicle; predicting an anxiety level of the driver at an upcoming traffic condition, based on the driver classification; and selectively inhibiting an upcoming engine idle-stop event based on the predicted anxiety level of the driver.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to determine a predicted classification related to a road segment; upon a vehicle including the computer traveling over the road segment, determine an actual classification related to the road segment; in response to the actual classification failing to match the predicted classification, transmit a notification to a server remote from the vehicle; and upon receiving an instruction responsive to the notification, transmit vehicle data related to the road segment to the server.

Abstract: Vehicle environment data about operation of a plurality of vehicles and vehicle component data for a vehicle component is input into a machine learning program to obtain a transfer function that correlates vehicle environment data to vehicle component data within a specified range of vehicle component parameters. A first event is identified by determining that a datum in the vehicle component data is outside the specified range. A predictive damage model of a vehicle component is updated based on the first event. A virtual parameter of a component model is adjusted based on output from the predictive damage model.

Abstract: Methods and systems are provided for selectively inhibiting a stop-start controller of a vehicle based on a predicted anxiety of a driver of the vehicle on a road segment that includes one or more road attributes associated with increased levels of anxiety. In one example, selectively inhibiting a stop-start controller of a vehicle based on a predicted anxiety of a driver of the vehicle includes determining a driver classification for a driver operating the vehicle; predicting an anxiety level of the driver at an upcoming traffic condition, based on the driver classification; and selectively inhibiting an upcoming engine idle-stop event based on the predicted anxiety level of the driver.

Abstract: Systems and methods for controlling an automatic climate control system of a vehicle include, by one or more onboard processors in operative communication with one or more sensors, initiating the automatic climate control system. The processors receive from the one or more sensors at least a vehicle input and a user identifier input. A unique user climate control system actuation action is implemented according to the received vehicle input and user identifier input provided by applying at least one predictive model to a stored set of climate control system operating parameters. A unique user climate control system operating pattern is implemented according to the received vehicle input and user identifier input provided by applying at least one different predictive model to the stored set of climate control system operating parameters.

Abstract: A vehicle such as a hybrid electric vehicle (HEV) and method of operation, which include controller(s) coupled to a communication unit, configured to respond to a trip signal, and in response, to generate a driver notification to adjust vehicle performance parameters, such as acceleration, speed, braking, and others. The driver notification is generated to reduce fuel and/or battery consumption, and according to a recommendation signal that is received from and generated by a remote fleet server, and in response to instantaneous vehicle operating conditions that are communicated in real-time from the vehicle to the remote server. The recommendation signal includes a fuel and/or a battery consumption estimate, among other data. The vehicle controller is also responsive to detecting the one or more adjusted vehicle performance parameters, and to generate and store one or more estimate errors, which are respective differences between the estimates and actual fuel and battery consumption.

Abstract: Systems and methods for controlling an automatic climate control system of a vehicle include, by one or more onboard processors in operative communication with one or more sensors, initiating the automatic climate control system. The processors receive from the one or more sensors at least a vehicle input and a user identifier input. A unique user climate control system actuation action is implemented according to the received vehicle input and user identifier input provided by applying at least one predictive model to a stored set of climate control system operating parameters. A unique user climate control system operating pattern is implemented according to the received vehicle input and user identifier input provided by applying at least one different predictive model to the stored set of climate control system operating parameters.