A vehicle control apparatus includes an automatic driving control device determining a travel route at a time of executing an automatic driving based on surrounding environment information and position information of a vehicle, and outputting a control amount corresponding to the travel route, and a steering control device calculating a steering control amount based on the control target value. There is a performing of steering control of the vehicle based on the steering control amount, wherein the automatic driving control device dynamically determines a control amount threshold value for regulating a limit of the steering control amount based on automatic driving control information indicating a control state in an automatic driving of the vehicle, and provides the steering control device with the control amount threshold value, and the steering control device changes the steering control amount not to exceed the control amount threshold value.

An image captured by a far-infrared camera is analyzed to analyze a distribution of a road-surface temperature, and a course of a highest road-surface temperature is determined to be a traveling route. Further, automatic driving along the course of the highest road-surface temperature is performed. Furthermore, a state of the distribution of a road-surface temperature, and a direction of the course of the highest road-surface temperature are displayed on a display section, so that a user (a driver) recognizes them. For example, a state analyzer detects a candidate course travelable for a vehicle, the state analyzer detecting a plurality of the candidate courses, calculates an average value of a road-surface temperature of each of the plurality of the candidate courses, and determines the candidate course having a largest average value of a road-surface temperature to be a traveling route.

A method of operating a vehicle, comprising: receiving ambient air information; receiving size, distance and relative velocity information about a vehicle in proximity to the vehicle; receiving road surface properties information; receiving wind velocity and direction information; computing an air density ratio factor using the ambient air information; computing an aerodynamic drag ratio factor using the size, distance and relative velocity information; computing a rolling resistance ratio factor using the information road surface properties information; computing effective velocity of the vehicle using the wind velocity and direction information; combining at least one of the air density ratio factor, the aerodynamic drag ratio factor and the rolling resistance ratio factor with vehicle loss coefficients to determining new vehicle loss coefficients; computing an energy loss or power loss of the vehicle using the new vehicle loss coefficients and the effective velocity of the vehicle; and controlling the vehicle to improve fuel economy.

A method for determining a slip angle λ.sub.r of a rear wheel of a single-track motor vehicle for the purpose of traction control of the rear wheel of the single-track motor vehicle by means of a closed loop control is provided. The slip angle λ.sub.r of the rear wheel is determined as a feedback value of the closed loop using at least one of three model-based steps. A slip angle λ.sub.r1, λ.sub.r2 or λ.sub.r3 is determined by one of the three steps representing the slip angle λ.sub.r or the slip angle λ.sub.r is determined from at least two of the slip angles λ.sub.r1, λ.sub.r2 and λ.sub.r3.

A driving assistance apparatus includes a processor having hardware. The processor is configured to acquire vehicle speed data before an ABS of a vehicle is activated and vehicle speed data when the ABS of the vehicle is stopped, calculate a coefficient of sliding friction based on the vehicle speed data before the ABS is activated and the vehicle speed data when the ABS is stopped, determine whether the coefficient of sliding friction is equal to or smaller than a threshold, and detect that a slip due to road freezing has occurred when the coefficient of sliding friction is equal to or smaller than the threshold.

The present disclosure relates to a method for controlling at least one actuator of a vehicle, the actuator being configured to apply a torque on at least one wheel of the vehicle, wherein the applied torque is determined by a control function associated with a control bandwidth, the method comprising configuring the control function to control the applied torque to reduce a difference between a first parameter value related to a current rotational speed of the wheel and a second parameter value related to target rotational speed of the wheel; obtaining data indicative of a current operating condition of the vehicle; setting the control bandwidth of the control function in dependence of the current operating condition of the vehicle; and controlling the actuator using the control function.

Disclosed are an apparatus and a method for controlling driving of a vehicle. The apparatus includes a sensor that obtains information about an external environment of the vehicle, and a controller that calculates a target driving speed based on at least one of weather information, road surface information, or a minimum sensing distance detectable by the sensor, and sets a preset driving speed as the target driving speed. Accordingly, the driving of the vehicle is controlled by accurately reflecting external environment information and setting the target driving speed of the vehicle, so that it is possible to minimize user anxiety about the stability of autonomous driving and reduce the risk of an accident.

A vehicular control system includes an electronic control unit disposed at a vehicle, a camera disposed at a windshield of the vehicle and viewing at least forward of the vehicle through the windshield. Responsive to an emergency driving condition occurring while the vehicle is traveling along a section of a road, the system at least partially controls driving of the vehicle along the road. The system, while controlling driving of the vehicle along the road responsive to the emergency driving condition, and responsive to determination that the road changes, determines a target stopping location ahead of the vehicle. The system determines the target stopping location responsive at least in part to processing of image data captured by the camera. The system, responsive to determination of the target stopping location, at least partially controls driving of the vehicle to the target stopping location.

The present embodiments relate to a vehicle control device and method, and a vehicle system. The vehicle control device may include a determinator determining a road surface condition based on vehicle driving information and determining whether to brake a vehicle based on a result of determining the road surface condition and a vehicle controller controlling a braking device according to a result of determining whether to brake the vehicle by the determinator and controlling a steering device based on control of the braking device.

A method is disclosed for analyzing historical accident information to adjust driving actions of an autonomous vehicle over a travel route in order to avoid accidents which have occurred over the travel route. Historical accident information for the travel route can be analyzed to, for example, determine accident types which occurred over the travel route and determine causes and/or probable causes of the accident types. In response to determining accident types and causes / probable causes of the accident types over the travel route, adjustments can be made to the driving actions planned for the autonomous vehicle over the travel route. In addition, in an embodiment, historical accident information can be used to analyze available travel routes and select a route which presents less risk of accident than others.