Public transport: AI assesses resilience of timetables
Journal Reference: Matthias Müller-Hannemann, Ralf Rückert, Alexander Schiewe, Anita Schöbel. Estimating the robustness of public transport schedules using machine learning. Transportation Research Part C: Emerging Technologies, 2022; 137: 103566 DOI: 10.1016/j.trc.2022.103566 The team was looking for an efficient way to test how well timetables can compensate for minor, unavoidable disruptions and delays. In technical terms, … Read more