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Rail-bound transport in urban areas plays an important role in public transport. Given its urban setting, urban rail-bound transport can be significantly influenced by the interfering road traffic around it. Considering the capacity and operation quality of urban rail-bound transport influenced by road traffic in various urban mixed traffic zones, it'very important to investigate and include the road traffic influences for capacity research on urban rail-bound transport. In this dissertation, two approaches are developed to model the road traffic influences according to the analysis of the interactions between urban mixed traffic in various mixed traffic zones. As an important intermediate result, the newly-developed waiting time function is determined to adapt to an urban rail-bound system with consideration of external influences. Furthermore, an algorithm is developed in the model with an event-driven system to simulate the interactions among urban mixed traffic in various mixed traffic zones. This algorithm is used to assess the significance of mixed traffic impacts and derive the primary results for capacity research.
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