The design of bus routes and setting frequencies on these routes are two basic decision elements that critically determine public transport system performance. Various attempts are made to solve this type of combinatorial optimisation problem involving non- linearity, non- convexity with multiple objective functions but in most of the approaches design of routes and schedules are dealt separately though they are complementary to each other. In this study a model is developed for simultaneous routing and scheduling using a robust optimization technique namely Genetic Algorithm (GA). For this model objective function is minimisation of the sum of user and operator costs. User cost is taken as combination of in-vehicle travel time, waiting time and transfer time where as operator cost is vehicle operating cost of buses. Constraints are related to load factor, fleet size and overloading of links. The model is tested for Mandl's Swiss Transit Network and Demand Matrix. It is found that the developed model gives the better-optimised values over other existing results for the same network and demand matrix.
