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The bicycle as a mode of transport has seen a massive increase in popularity due to its health benefits, low cost, durability and ecological sustainability. Governments worldwide are opening up to its potential by implementing cycling infrastructure and promoting the use of the bicycle for short-distance travel. Striving towards an optimal implementation, policy makers can utilize traffic models to simulate the effects of infrastructure, before it is put into place. Though car traffic models have been studied extensively in the past, studies concerning bicycle traffic are limited. In this thesis, a literature review investigates how the traffic flow of bicycles can be modeled with traditional car flow models. As the route choice model used in car traffic simulators is too simplistic to correctly model cyclists’ behavior, a bicycle specific traffic simulator is necessary. The MATSim model, an open source traffic simulator, can be edited to utilize a route choice model for cyclists based on factors such as slope, cycling infrastructure and road surface, making it a well-performing bicycle traffic. A case study for the city of Leuven exemplifies how the bicycle traffic model based on MATSim can be applied for policy-making.