An Optimization Method for Public Transit Timetable Considering Transfer Synchronization

this study focuses on transit timetable problem considering transfer synchronization for those routes with large frequency and deterministic travel time. The objective of this research is to minimize total travel time experienced by all passengers. A homogeneous headway-based mathematical model was presented for addressing transfer synchronization problem, as well as an improved genetic algorithm (GA). The case study showed: (a) the addition of elitism and Piecewise evolutionary strategy help GA search best solution quickly as well as keep higher convergence, (b) initial wait time and transfer wait time keep a cooperative relationship in transfer synchronization problem, and (c) in-vehicle travel time of passenger keep a competitive relationship with wait time.