A method for determining a risk boundary in response to the plurality of indications of hard braking events wherein the risk boundary is indicative of a plurality of speed flow pairs at which a risk of a hard braking event is below a threshold value, determining, at a road segment level, a set of speed flow pairs of average speed and vehicle count and a plurality of indications of hard braking events, determining a host vehicle speed, and performing at least one of reducing the host vehicle speed and increasing a host vehicle following distance in response to the host vehicle speed exceeding the risk boundary for the vehicle flow density.

When an accept operation for permitting a speed limit to be set as a target speed has been detected, a driving support ECU gradually increases the current target speed toward the current speed limit. The target speed is displayed in a gradual-change display screen on a display apparatus. A driver performs a correcting operation at the time at which the driver recognizes that the displayed target speed exceeds the speed limit. The driving support ECU corrects the target speed based on the correcting operation.

An apparatus for switching between driving modes of a vehicle with an automatic driving system, including: an input unit for receiving an input to switch from automatic driving mode to manual driving mode; a speed sensor for determining a current speed of the vehicle; a display unit on which a first indicator indicating a current speed of the vehicle when the vehicle is in an automatic driving mode is displayed; a pedal sensor for determining a current displacement distance of an accelerator pedal; a controller for determining a virtual speed according to the current distance displacement of the accelerator pedal when an input is received that requests switching of the automatic driving mode of the vehicle to a manual driving mode if the vehicle is in the automatic driving mode and displays a second indicator indicating the virtual speed on the display unit, and for switching the automatic driving mode to the manual driving mode when the virtual driving speed is similar to the current speed of the vehicle.

An aspect of the disclosure provides an apparatus and a method for assisting driving capable of calculating a speed limit of a vehicle using curvature information of a road and accurately recognizing a traffic sign through this. The apparatus for assisting driving of a host vehicle includes a front sensor mounted to the host vehicle and having a field of view in front of the host vehicle, the front sensor configured to obtain front image data; and a controller including a processor configured to process the front image data. The controller may be configured to detect a speed displayed on a sign based on the front image data, to calculate a limit speed of the host vehicle on a driving road based on the front image data, and to display a sign speed smaller than the limit speed on a display of the host vehicle.

The present application discloses a vehicular display device mounted on a vehicle. The vehicular display device has a display panel including a display surface, on which an image is displayed, and a housing, which supports the display surface; and a first analog meter including a first frame curved in a direction away from the display surface between a first end and a second end, which are aligned along a boundary line between the display surface and the housing. The display panel displays a first frame image curved in a direction opposite to the first frame. The first frame image extends from the first end to the second end.

The present disclosure generally relates to managing cruise control settings. A cruise control indicator is displayed at a location that corresponds to a cruise control speed concurrently with a textual indication of the cruise control speed. In response to receiving input, the textual indication ceases to be displayed after a non-zero duration while the cruise control indicator continues to be displayed.

An automated driving system for deciding to change a travel state of a host vehicle using a machine learning model in an automated driving control process for the host vehicle includes an automated driving control unit configured to decide to change the travel state of the host vehicle using the machine learning model on the basis of a preset target route and position information of the host vehicle and map information, or a detection result of an external sensor of the host vehicle, and an information presentation unit configured to present a travel state change factor, which is a main cause of the change in the travel state, and the change in the travel state of the host vehicle to a user of the host vehicle when the automated driving control unit decides to change the travel state of the host vehicle.