This short paper presents an ongoing industrial PhD project focused on learning domain models in the transportation industry. We seek to develop a two-phase learning process that leverages Behavior Trees to involve human planning experts in the learning loop. In this paper, we outline our research questions, discuss the initial steps we have taken in our research, and highlight the challenges we expect to face moving forward.