The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a method and a non-transitory computer-readable medium that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle moving along a highway, including as part of a convoy.

An apparatus and method for controlling a vehicle speed based on information about forward vehicles that travel in the same lane may be acquired using Vehicle to Everything (V2X) communications in a cooperative adaptive cruise control (CACC) system. The CACC system includes a communication unit receiving vehicle information from neighboring vehicles using V2V communications; an information collection unit collecting vehicle information of the neighboring vehicles and the subject vehicle using sensors; and a control unit determining a forward vehicle and a far-forward vehicle using the sensors, selecting first and second target vehicles for being followed by the subject vehicle based on the vehicle information of the forward vehicle and the far-forward vehicle and the vehicle information of the neighboring vehicles, and controlling the driving speed of the subject vehicle based on speed information of the first and second target vehicles.

A start/stop device initiates an automatic activation process of an automatically deactivated drive machine of a motor vehicle, in particular of a motor vehicle with an automatic transmission. The drive machine can be automatically deactivated when the motor vehicle is traveling, and the automatically deactivated drive machine can be activated on the basis of driver actions. The start/stop device is configured to initiate an automatic activation of the drive machine which is automatically deactivated when the motor vehicle is traveling on the basis of a detected drive dynamic desired by the driver.

A method for the automatic control of the longitudinal dynamics of a vehicle is provided by which vehicles traveling ahead are detected. If an upcoming traffic jam is detected, the vehicle is decelerated until a predefined distance behind the tail end of the traffic jam is reached. When the predefined distance from the traffic jam tail end has been reached, the vehicle automatically controlled in its longitudinal dynamics is able to close the remaining, predefined distance to the traffic jam tail end at a low differential velocity in comparison to the velocity of the traffic jam tail end. Using an additional rear sensor system that senses trailing vehicles, the controlled vehicle is made to close the distance to the traffic jam tail end only if a trailing vehicle was detected.

A vehicle speed control device 1 mounted in a vehicle comprises: a forward detection unit 121 that obtains the amount of time until a vehicle V.sub.b to be overtaken that is traveling to the side of a host vehicle V.sub.a, in which the vehicle speed device 1 is mounted, is overtaken; a rearward detection unit 122 that obtains the amount of time until the distance between the host vehicle V.sub.a and a following vehicle V.sub.c traveling rearward of the host vehicle V.sub.a reaches a prescribed rearward distance; and a speed control unit 123 that increases the speed of the host vehicle V.sub.a when the time until overtaking occurs is greater than the time until the prescribed rearward distance is reached.

In one embodiment, a method, apparatus, and system for planning the trajectory of an autonomous driving vehicle (ADV) in view of an object within a buffer area in front of the ADV is disclosed. A buffer area in front of an ADV is identified. A first object of one or more objects that have entered the buffer area is identified. A first distance cost and a first relative speed cost associated with the first object are determined. A first object cost associated with the first object is determined based on a combination of the first distance cost and the first relative speed cost. A trajectory for the ADV is planned based at least in part on a cost function comprising the first object cost, where the cost function is minimized in the planning. Control signals are generated to drive the ADV based on the planned trajectory.

A vehicle includes a communication device configured to request a neighboring vehicle for first data related to autonomous driving of the neighboring vehicle and to receive the first data from the neighboring vehicle while the vehicle is driving; a sensor device configured to sense second data regarding a state of a user of the vehicle and to detect third data regarding driving information of the neighboring vehicle; and a controller configured to classify risks of the vehicle into classes according to a preset criterion based on the first data, the second data, and the third data, and to score the risks based on the classified classes.

A vehicle control apparatus includes a recognizer which is configured to recognize a surrounding environment of a host vehicle and a driving controller which is configured to perform automated driving on the basis of a recognition result of the recognizer, wherein the driving controller is configured to perform passing control of causing the host vehicle to pass a preceding vehicle if at least one of a first condition according to a relative speed of the host vehicle with respect to the preceding vehicle and a second condition according to a type of the preceding vehicle is satisfied when the recognizer recognizes the preceding vehicle, and is configured to curb the passing control by changing at least one of the first condition and the second condition when a continuity of a first route on which the host vehicle is traveling decreases.

A navigation system for a host vehicle is provided. The system may comprise at least one processing device comprising circuitry and a memory. The memory includes instructions that when executed by the circuitry cause the at least one processing device to: receive a plurality of images acquired by a camera, the plurality of images being representative of an environment of the host vehicle; analyze the plurality of images to identify a presence in the environment of the host vehicle a navigation rule suspension condition; temporarily suspend at least one navigational rule in response to identification of the navigation rule suspension condition; and cause at least one navigational change of the host vehicle unconstrained by the temporarily suspended at least one navigational rule.

The present disclosure provides a method and device for predicting a motion track of an obstacle and an autonomous vehicle, and relates to the technical field of autonomous driving, so as to at least solve the technical problem of low prediction precision of a motion track of an obstacle in an interaction scene. A specific implementation solution includes: environment information in a target scene, historical state information of a target obstacle and track planning information of a target vehicle are obtained, and the target obstacle is a potential interaction object of the target vehicle; and a motion track of the target obstacle is predicted based on the environment information, the historical state information and the track planning information.