The two basic elements that critically determine the performance of any mass transit network from both the user and the operator point of view i.e. designing of bus routes and setting frequencies on these routes; have not been sufficiently investigated because of their inherent complexity and the difficulty of implementation. Besides, most the studies have focussed on a sequential approach i.e. first finding the best route configurations along the selected corridors and then using the scheduling model to allocate the frequency and number of buses to different routes. In this paper, we propose an ant colony optimization (ACO) technique driven multiobjective model for simultaneous routing and scheduling of mass transit network. The model was applied and tested on a case study area.