An integrated control system for a vehicle is provided. The system includes a friction coefficient calculation unit that calculates friction coefficients of left side and right side road surfaces, respectively, based on vehicle wheel state information and a predetermined setting information collected during ABS operation. A feedforward braking pressure calculation unit calculates a feedforward braking pressure of each vehicle wheel using the friction coefficients. An ABS braking pressure calculation unit calculates an ABS braking pressure of the each vehicle wheel based on the feedforward braking pressure and slip rate information. A rear wheel steering control amount calculation unit calculates a rear wheel steering control amount for yaw compensation using the ABS braking pressure of each vehicle wheel and a rear wheel steering controller executes a rear wheel steering control according to the rear wheel steering control amount.

A computer system operates to determine a traction value for each of a plurality of regions of a road network. The computer system identifies a region of the road network for which the traction value is known. The computer system may direct a vehicle to operate over a region of the road network where the traction value is known, in order to obtain sensor data that is indicative of a traction capability of the vehicle.

A system for control of a steering system of a vehicle, mechanically coupled to the wheels and including an actuator for applying a force or a torque to the steering system. A force or torque can be superimposed on a force or torque originating from the wheels. The system includes a detection unit disposed on the vehicle and configured for anticipatorily detecting at least one surface condition of a surface section located ahead of the vehicle in the direction of vehicle travel and subsequently driven on by the vehicle. The system including a data processing unit disposed on the vehicle and connected to and communicating with the detection unit. The data processing unit configured for generating control signals for controlling an actuator of the steering system based on the detected surface condition.

A travel control device for a vehicle executes a self-driving control based on traveling environment information on which the vehicle travels and traveling information on the vehicle. In the device, a traveling environment information acquisition unit acquires the traveling environment information. A traveling information detection unit detects the traveling information. An unstable behavior detector detects an unstable behavior in one or both of a rolling direction and a yaw direction of the vehicle. A steering wheel holding state detector detects a state in which a driver holds a steering wheel. The first unstable behavior reducer reduces the detected unstable behavior by correcting a steering angle. A second unstable behavior reducer reduces the detected unstable behavior by selecting a predetermined wheel and applying a braking force to the wheel. A vehicle behavior controller freely operates the unstable behavior reducers according to detection results.

A method estimates tire pressure of vehicle. For each tire, signals or data indicative of angular velocity of the wheel with which the tire is associated are acquired. A subset of detected signals or data acquired in rectilinear vehicle travel condition is selected. Pressure relationship between tires of each pair of wheels of the same axle is determined by comparing the rolling radius of the wheel on which a first tire is mounted and the rolling radius of the wheel on which a second tire is mounted. A pressure relationship between tire pairs is determined for comparison between the mean value of the rolling radii of wheels of a first axle and the mean value of the rolling radii of wheels of a second axle. Ratios are calculated based on signals or data indicative of angular velocity of the wheels and on slippage of the drive wheels.

A method for autonomous operation of a vehicle on a driving route ahead permits autonomous operation of the vehicle is only permitted if one or a group of conditions is/are fulfilled for a predetermined route length of the driving route ahead. The conditions include: there is a structural separation on at least one side of a current travel path of the vehicle; a driving lane of the vehicle has a minimum lane width; there are no humps and dips substantially limiting the range of environmental detection sensors; the number of driving lanes does not change; there are no tunnels; there are no buildings on the travel path; there are no motorway junctions; a radius of curvature of the driving lane of the vehicle is larger than a predetermined limit value; there are no traffic disruptions; there are no traffic reports about dangerous situations; and there are no traffic reports about the presence of roadworks.

A road-surface-condition estimation device is configured by a tire-side device and a vehicle-side device so as to grasp a road surface condition based on road surface condition data transmitted from a tire-side device. As a result, the road surface condition or a road surface μ of a traveling road surface of a vehicle can be accurately detected, and a more accurate lane keeping control can be performed according to the detection result. In particular, since the tire-side device estimates the road surface condition by detecting the vibration of a ground contact surface of the tire, the road surface condition can be estimated more accurately. Therefore, the more accurate lane keeping control can be performed.

A vehicle control system to be mounted in a hybrid electric vehicle includes an engine, a center differential that includes a front-wheel-side output portion and a rear-wheel-side output portion and distributes torque outputted from the engine to a front wheel and a rear wheel, a limited slip differential mechanism that limits a differential between the front-wheel-side output portion and the rear-wheel-side output portion, and a motor disposed in a drive-power transferring system that transfers drive power from the rear-wheel-side output portion to the rear wheel. The vehicle control system includes a processor. When the hybrid electric vehicle is switched from a first traveling mode to a second traveling mode, the processor stops the engine while causing the limited slip differential mechanism to limit the differential between the front-wheel-side output portion and the rear-wheel-side output portion.

A vehicle is adapted to sense a condition of use in which a maximum speed control speed is reduced. The condition of use may be indicated by a sensor of the vehicle, or selected according to the kind of terrain across which the vehicle is travelling. Selection of terrain type may be manual or automatic, and may enable a selection of sensors appropriate to the terrain type. A vehicle driver may select a speed control speed lower than the permitted maximum.

Systems, methods, and other embodiments described herein relate to providing cooperative control according to system conditions of a vehicle. In one embodiment, a method includes determining a system condition associated with operation of functions associated with an assistance system within an ego vehicle. The system condition is based, at least in part, on environmental conditions around the ego vehicle. The method includes defining available modes according to which control modes of the ego vehicle can operate with the system condition. The method includes controlling the ego vehicle according to a selected mode of the available modes.