Reliable communication between the vehicle and its environment is an important aspect, to enable automated driving functions that include data from outside the vehicle. One way to achieve this is presented in this paper, a pipeline, that represents the entire process from data acquisition up to model inference in production. In this paper, a pipeline is developed to conduct a round-trip time prediction for TCP in the 4th generation of mobile network, called LTE. The pipeline includes data preparation, feature selection, model training and evaluation, and deployment of the model. In addition to the technical backgrounds of the design of the required steps for the deployment of a model on a target platform within the vehicle, a concrete implementation how such a model enables more reliable scheduling between multiple communication paths is demonstrated. Finally, the work outlines how such a feature can be applied beyond the field of automated vehicles, e.g. to the domain of unmanned aerial vehicles.