Abstract: A method of position planning for a recording system of an imaging device with respect to a selectable field of view of a patient includes acquiring current position information of the recording system and/or the imaging device, and/or setting information of a collimator of the imaging device. A current intersection volume between an X-ray beam and the patient and/or a current field of view is determined. The current intersection volume and/or the current field of view is determined as a virtual display element. A target intersection volume and/or a target field of view is received by manipulation of the virtual display element. A target position of the recording system and/or the imaging device, and/or the setting of the collimator is determined, such that, on occupying the target position, the target intersection volume and/or the target field of view becomes the current intersection volume and/or current field of view.

Abstract: A method of position planning for a recording system of an imaging device with respect to a selectable field of view of a patient includes acquiring current position information of the recording system and/or the imaging device, and/or setting information of a collimator of the imaging device. A current intersection volume between an X-ray beam and the patient and/or a current field of view is determined. The current intersection volume and/or the current field of view is determined as a virtual display element. A target intersection volume and/or a target field of view is received by manipulation of the virtual display element. A target position of the recording system and/or the imaging device, and/or the setting of the collimator is determined, such that, on occupying the target position, the target intersection volume and/or the target field of view becomes the current intersection volume and/or current field of view.

Abstract: Provided is a method and an apparatus for computer-implemented traffic control of motor vehicles in a predetermined area, in which, at predetermined intervals, respectively: values of traffic parameters are ascertained in the predetermined area by way of data capture, wherein at least some of the traffic parameters relate to the motor vehicles traveling in the predetermined area and the traffic parameters of a respective motor vehicle include its current position, direction of travel and speed; a set of optimized traffic control actions, which include the adjustment of variable traffic signaling devices, is determined by an optimization using a learned data-driven model and the optimized traffic control actions are carried out, wherein the optimization takes account of predicted air quality values and the data-driven model is learned by training data from a simulation.