Method for predictive assessment of a current driving situation of a vehicle, in particular a commercial vehicle, comprising at least the following steps: - determining current driving situation information using sensor data of the vehicle, the driving situation information characterizing the current driving situation of the vehicle, - providing the driving situation information to a neural algorithm which is executed by means of an assessment module in a control unit of the vehicle, the neural algorithm assigning a driving situation category (Fki) to the current driving situation information in the manner of a trained neural network, the relevant driving situation category (Fki) being based on a predicted driving situation (GZi), and the neural algorithm being trained via a training database, driving situation information of training driving situations, and predicted driving situations (GZi) and/or driving situation categories (Fki) assigned to the training driving situations being stored in the training database, the neural algorithm being provided with the driving situation information of the training driving situations as input values and the driving situation categories (Fki) of the predicted driving situations (GZi) assigned thereto as known output values of the neural algorithm, for training the neural algorithm according to the learning rule of supervised learning, the trained neural algorithm determining the predicted driving situation (GZi) depending on the current driving situation, and the predicted driving situation (GZi) indicating (St2, St3) a driving situation of the vehicle which will develop in the future from the current driving situation; and - outputting an output value characterizing the predicted driving situation (GZi) and/or the assigned driving situation category (Fki) as an assessment result to the driver of the vehicle in the form of an acoustic or optical warning signal (WA, WO), characterized in that the warning (WO, WA) is output one intervention interval (tB) before the initiation of the predicted driving situation (GZi), the intervention interval (tB) being greater than a driver reaction time (tR), corresponding to at least twice the driver reaction time (tR), and in particular being at least 3 to 4 seconds. - determining current driving situation information using sensor data of the vehicle, the driving situation information characterizing the current driving situation of the vehicle, - providing the driving situation information to a neural algorithm which is executed by means of an assessment module in a control unit of the vehicle, the neural algorithm assigning a driving situation category (Fki) to the current driving situation information in the manner of a trained neural network, the relevant driving situation category (Fki) being based on a predicted driving situation (GZi), and the neural algorithm being trained via a training database, driving situation information of training driving situations, and predicted driving situations (GZi) and/or driving situation categories (Fki) assigned to the training driving situations being stored in the training database, the neural algorithm being provided with the driving situation information of the training driving situations as input values and the driving situation categories (Fki) of the predicted driving situations (GZi) assigned thereto as known output values of the neural algorithm, for training the neural algorithm according to the learning rule of supervised learning, the trained neural algorithm determining the predicted driving situation (GZi) depending on the current driving situation, and the predicted driving situation (GZi) indicating (St2, St3) a driving situation of the vehicle which will develop in the future from the current driving situation; and - outputting an output value characterizing the predicted driving situation (GZi) and/or the assigned driving situation category (Fki) as an assessment result to the driver of the vehicle in the form of an acoustic or optical warning signal (WA, WO), characterized in that the warning (WO, WA) is output one intervention interval (tB) before the initiation of the predicted driving situation (GZi), the intervention interval (tB) being greater than a driver reaction time (tR), corresponding to at least twice the driver reaction time (tR), and in particular being at least 3 to 4 seconds.