Abstract: The present application discloses a method, an apparatus and a device for determining a behavioral driving habit and controlling vehicle driving, which relates to an autonomous driving technology in the field of artificial intelligence. A specific implementation is to: acquire driving behavior-related data during a user's manual driving a first vehicle on a road and map data; and determine, according to the driving behavior-related data and the map data described above, an association relationship between driving parameters used during the user's manual driving the first vehicle; where the association relationship between the driving parameters represents a behavioral driving habit of the user. In this way, an autonomous driving strategy of a second vehicle may be updated according to the behavioral driving habit of the user, so that personalized autonomous driving requirements from different users are met.

Abstract: A method for vehicle lane changing control, a device, a storage medium and a program product, relating to the fields of autonomous driving, intelligent transportation, big data, cloud computing, etc. in computer technology. A specific implementation solution is: during a process of vehicle driving, when a distance between the vehicle and a front bifurcation is less than or equal to a longest lane changing operation distance, according to map data and traffic data of a road section ahead, it is determined whether a current position is a preferred position to start performing the lane changing operation, so as to determine whether performing the lane changing operation at the current position; and if determined to perform the lane changing operation at the current position, lane changing operation execution information will be issued to enable the vehicle to start performing the lane changing operation at the current position.

Abstract: The present application discloses a method for determining an automatic driving feature, an apparatus, a device, a medium and a program product, and relates to automatic driving technology in the field of artificial intelligence. A specific solution is: acquiring scenario information of a plurality of driving scenarios and driving behavior information of an automatic driving system in each of the driving scenarios, where the driving behavior information includes a decision made by the automatic driving system and an execution result corresponding to the decision; determining an automatic driving feature of the automatic driving system according to the scenario information of the plurality of driving scenarios and respective driving behavior information. The automatic driving feature determined through the above process can represent a characteristic of an automatic driving strategy adopted by the automatic driving system.