A travel control method includes using the vehicle to autonomously control a travel of the vehicle. The vehicle has an autonomous speed control function for autonomously controlling a traveling speed of the vehicle and an autonomous steering control function for autonomously controlling the steering of the vehicle. The autonomous speed control function includes a curved route speed control function for controlling the traveling speed of the vehicle at a set speed corresponding to the size of a curve of a travel route. The curved route speed control function can be set to ON/OFF. Each of the autonomous speed control function and the autonomous steering control function can be set to ON/OFF. When the autonomous speed control function and the autonomous steering control function are set to ON, the curved route speed control function is operated regardless of whether the curved route speed control function is set to ON or OFF.

A turning control device is provided for use in a vehicle control system including a steer-by-wire system and a brake system. The turning control device is configured to calculate a braking force difference, which is a difference in braking force between the left and right tire wheels. The turning control device is further configured to perform a high turning control that provides the braking force difference to the left and right tire wheels to cause a smaller turning radius of the vehicle when a steering angle corresponding value is larger than a judgment threshold.

A vehicle control device to be installed in a vehicle includes a self-driving controller and a calculator. The self-driving controller is configured to set a target vehicle speed and a target steering angle to allow the vehicle to trace a predetermined target travel locus. The self-driving controller is configured to control the vehicle based on the target vehicle speed and the target steering angle. The calculator is configured to calculate a deviation between an index of an actual vehicle behavior and an index of a reference vehicle behavior. The self-driving controller corrects one or both of the target vehicle speed and the target steering angle in accordance with an increase of the deviation, so as to stabilize the vehicle.

Embodiments of the present invention provide a controller (10) for controlling movement of a vehicle (100), and a corresponding method. The controller (10) comprises processing means configured to: receive (501) a first signal indicative of the vehicle being in a remote control drive mode; receive (502) a second signal indicative of operation of a main input device (124S, 161, 163, 171, 174) within the vehicle (100); and provide (520) an output signal for applying a braking force to slow the vehicle (100) to a stop in dependence on said first and second signals.

A method estimates a track rod force which is exerted, in a power steering system with which a vehicle is equipped, on a track rod belonging to a steering mechanism which connects an actuator to a steered wheel which is orientable in the yaw direction and which bears a tyre of which the tread is in contact with the ground, the value of the estimated track rod force being corrected as a function of the longitudinal speed of the vehicle by a force component that models the release of the elastic torsion of the tyre so as to reduce, the estimated track rod force according to the longitudinal speed of the vehicle, when the vehicle transitions from a park situation in which the longitudinal speed of the vehicle is zero to a drive situation in which the longitudinal speed of the vehicle is non-zero.

An ECU operating as a vehicle control device, to be mounted on a truck tractor, has a hauling determination part and an automatic driving control part. The truck tractor is hauling/pulling a trailer. The hauling determination part detects whether the trailer is hauled by the truck tractor. The automatic driving control part switches an automatic driving mode between a first automatic driving mode and a second automatic driving mode on the basis of a detection result of the hauling determination part. The first automatic driving mode represents a situation in which the truck tractor is not hauling/pulling the trailer. The second automatic driving mode represents a situation in which the truck tractor is hauling/pulling the trailer.

Systems and methods for controlling a vehicle. The system includes a plurality of sensors and an electronic controller. The electronic controller is configured to receive data from the plurality of sensors and determine a target vehicle travel direction of the vehicle based on the received data. The electronic controller then determines a heading error based on the target travel direction, determines a heading error derivative, and generates a vehicle control command based on the heading error and the heading error derivative.

An EPS controller reduces a turning angle of front wheels when it is determined that a normative yaw rate is larger than an actual yaw rate.

The disclosure relates to a driver assistance method, in which a vehicle performs a driving manoeuvre automatically, and a braking device, in particular a parking brake, is at least partially actuated during the performance of the driving manoeuvre so that a braking action is constantly exerted on the wheels of at least one axle so that a drive of the vehicle operates counter to the braking action of the braking device in order to move the vehicle. According to the disclosure, during the driving manoeuvre at least one operating parameter which is related to an undesired increase in the braking action exerted on at least one wheel is detected and evaluated, and a braking action on at least one wheel is reduced in accordance with the result of said evaluation.

A method of controlling and optimizing braking and directional control of a vehicle operated on a contaminated, compliant, or non-compliant surface. The method includes steps of: collecting data from a plurality of sensors, the data being indicative of a condition of the contaminated, compliant, or non-compliant surface; sending the data to a neural controller having an algorithm configured to process the data. The algorithm includes: determining optimum braking and directional control instructions for the vehicle, generating warnings and alerts based on the calculated optimum braking and directional control instructions, and sending the optimum braking and directional control instructions to a braking and steering system of the vehicle and the warnings and alerts to an alert and warning system of the vehicle. The method further includes adjusting the steering and directional control of the braking and steering system in accordance with the optimum braking and directional control instructions provided by the neural controller.