Methods and systems are presented for improving performance of a vehicle operating in a cruise control mode where a controller adjusts torque output from a vehicle to maintain vehicle speed within a desired range. The methods and systems include adapting a vehicle dynamics model and a vehicle fuel consumption map that provide input to nonlinear model predictive controller.

A method for minimizing disturbance due to wind forces of a trailer being towed by a vehicle. The method also includes receiving, at a data processing hardware data from a sensor system for the tow vehicle. The method also includes determining, at the data processing hardware, a passing object profile. The method also includes predicting, at the data processing hardware, a wind force profile based upon the sensor data the passing object profile. The method also includes determining, at the data processing hardware, at least one preventative action for the vehicle to minimize the effect of disturbance on the trailer.

A method for minimizing disturbance due to wind forces of a trailer being towed by a vehicle. The method also includes receiving, at a data processing hardware data from a sensor system for the tow vehicle. The method also includes determining, at the data processing hardware, a passing object profile. The method also includes predicting, at the data processing hardware, a wind force profile based upon the sensor data the passing object profile. The method also includes determining, at the data processing hardware, at least one preventative action for the vehicle to minimize the effect of disturbance on the trailer.

A system for navigating a vehicle may include a processor programmed to receive an output provided by a vehicle sensor, and determine a navigational maneuver for the vehicle along a road segment based on the output provided by the vehicle sensor. The processor may also be programmed to determine a yaw rate command and a speed command for implementing the navigational maneuver. The processor may also be programmed to determine a first vehicle steering angle based on the yaw rate and speed commands using a first control subsystem, and determine a second vehicle steering angle based on the yaw rate and speed commands using a second control subsystem. The processor may further be programmed to determine an overall steering command for the vehicle based on a combination of the first and second steering angles, and cause an actuator associated with the vehicle to implement the overall steering command.

A system for navigating a vehicle may include a processor programmed to receive an output provided by a vehicle sensor, and determine a navigational maneuver for the vehicle along a road segment based on the output provided by the vehicle sensor. The processor may also be programmed to determine a yaw rate command and a speed command for implementing the navigational maneuver. The processor may also be programmed to determine a first vehicle steering angle based on the yaw rate and speed commands using a first control subsystem, and determine a second vehicle steering angle based on the yaw rate and speed commands using a second control subsystem. The processor may further be programmed to determine an overall steering command for the vehicle based on a combination of the first and second steering angles, and cause an actuator associated with the vehicle to implement the overall steering command.

A control system for a vehicle includes wheel slip control loop including a wheel slip controller configured to control wheel slip based on wheel speed measured at one or more wheels of the vehicle. A wheel flare control loop includes a wheel flare controller configured to control wheel flare based on transmission output speed at an output of a transmission of the vehicle. A controller is configured to select one of the wheel slip controller to control the wheel slip and the wheel flare controller to control the wheel flare during operation of the vehicle.

A control system for a vehicle includes wheel slip control loop including a wheel slip controller configured to control wheel slip based on wheel speed measured at one or more wheels of the vehicle. A wheel flare control loop includes a wheel flare controller configured to control wheel flare based on transmission output speed at an output of a transmission of the vehicle. A controller is configured to select one of the wheel slip controller to control the wheel slip and the wheel flare controller to control the wheel flare during operation of the vehicle.

An information presentation device includes a processor configured to (i) acquire vehicle information relating to a plurality of peripheral vehicles around an own vehicle, (ii) calculate an effect index representing an effect due to follow-up travel of traveling behind each of the plurality of peripheral vehicles based on the vehicle information for each of the plurality of peripheral vehicles, and (iii) cause an output device of the own vehicle to output position information and the effect index relating to at least a portion of the plurality of peripheral vehicles.

A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.

A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.