Technologies and techniques for automatically preparing and/or executing a possible lane change with an ego vehicle traveling in moving traffic from a first lane to a second lane of a multi-lane roadway by means of a driver assistance system and to a driver assistance system. Gaps are detected between two vehicles, and the relative positions and movements of the gaps relative to the ego vehicle will facilitate a potential lane change of the ego vehicle. The driver assistance system adjusts the following distance and/or following speed of the ego vehicle relative to the vehicle ahead in such a way that changing a lane and merging into a gap of an adjacent lane is possible by means of a transverse guidance of the ego vehicle.

A method and apparatus is provided for controlling the operation of an autonomous vehicle. According to one aspect, the autonomous vehicle may track the trajectories of other vehicles on a road. Based on the other vehicle's trajectories, the autonomous vehicle may generate a pool of combined trajectories. Subsequently, the autonomous vehicle may select one of the combined trajectories as a representative trajectory. The representative trajectory may be used to change at least one of the speed or direction of the autonomous vehicle.

A vehicle control system includes a travel control section, a first traffic condition quantity acquisition section, a second traffic condition quantity acquisition section, a correction parameter calculator, and a correction section. The first traffic condition quantity acquisition section acquires a current traffic condition quantity on a road on which a preceding vehicle is traveling further ahead of a front vehicle. The second traffic condition quantity acquisition section acquires a reference traffic condition quantity, which is a traffic condition quantity that serves as a reference for the road on which the preceding vehicle is traveling. The correction parameter calculator calculates a difference between the current traffic condition quantity and the reference traffic condition quantity and calculates a correction parameter using the difference. The correction section corrects a control parameter used during execution of the vehicle speed control by the travel control section, using the correction parameter.

A driving control method of a hybrid vehicle is provided. The method includes acquiring link information on each of a current link in which the vehicle currently travels in an electric vehicle (EV) mode and a forward link connected to the current link ahead of the current link. A first average driving load of the current line and a second average driving load of the forward link are calculated based on the acquired link information. When the second average driving load is greater than the first average driving load a minimum required state of charge (SoC) based on the second average driving load and a preset driving mode switch reference are determined.

A vehicle includes an engine, a wireless transceiver that receives attribute data, and a controller. The controller selectively shuts down the engine responsive to such requests based on whether a predicted fuel savings associated with a predicted engine off duration is greater than a predicted fuel usage to restart the engine.

Systems and methods for cooperative ramp merger are described herein. In one embodiment, a system for assisting with a merge based on a ramp location of a ramp is provided. A swarm module causes a host vehicle to join a swarm created to assist the merging vehicle in the merge maneuver. A position module identifies relative positions of the host vehicle and other members of the swarm. An identification module selects a role for the host vehicle based on the relative positions of the host vehicle and the other members of the plurality of members. A constraint module calculates a merge location area based on the relative positions of the host vehicle and the other members of the plurality of members and the ramp location. A cooperative module determines a cooperative action for the host vehicle based on the role of the host vehicle and the merge location area.

A method of operating a traffic management system comprises receiving data from a vehicle indicating a traffic state, estimating a future time at which the vehicle will receive driving instructions transmitted by the traffic management system, predicting a future traffic state at the estimated future time, determining the driving instructions for the vehicle based on the predicted future traffic state, and transmitting the driving instructions to the vehicle.

Provided is a system for properly avoiding a waiting-for-entrance congestion caused by vehicles that stop on a road to enter a facility along the road. A map server 3 is configured to: acquire probe information for identifying a traveling lane in which each vehicle is traveling; acquire, based on the probe information, a congestion occurrence condition when traffic congestion repeatedly occurs in a specific lane at a specific location with a predetermined regularity; and generate, based on the congestion occurrence condition, specific lane congestion information about a congestion status in the specific lane. A control device of a vehicle acquires the specific lane congestion information delivered from the map server, and controls, based on the specific lane congestion information, traveling of the vehicle so as to avoid traffic congestion that is predicted to occur in the specific lane.

A vehicle system includes: a controller configured to communicate with a map server; and a vehicle position acquiring device configured to acquire own vehicle position information. The controller includes: a vehicle position determining unit configured to determine a lane in which an own vehicle is traveling based on the own vehicle position information; and a recommended lane determining unit configured to determine a recommended lane. The recommended lane determining unit is configured to set a priority of each lane based on map information, determine the lane having a highest priority as the recommended lane, calculate a congestion degree of each lane based on traffic state information and/or a statistic, and adjust a switching point of the recommended lane according to the congestion degree of the lane to be switched to the recommended lane.

A vehicle includes an engine, a wireless transceiver that receives attribute data, and a controller. The controller selectively shuts down the engine responsive to such requests based on whether a predicted fuel savings associated with a predicted engine off duration is greater than a predicted fuel usage to restart the engine.