With the number of individual vehicles meeting the capacity limit of urban road infrastructure, the deployment of new mobility services may help to achieve more efficient use of available resources and prevent critical overload. It may be observed that most of the seats in private vehicles remain unused during the journey. Therefore, increasing the number of passengers per vehicle may potentially reduce the overall number of vehicles on the road. For this purpose, ridesharing services can be an effective instrument, if supply and demand for rides are efficiently matched. The use of ridesharing depends on multiple factors, e.g. individual preferences, available infrastructure, alternative mode options (the quality of public transport). Auctions have been established successfully in comparably complex markets in which supply and demand of limited resources have to be matched efficiently. However, finding an appropriate auction design is difficult and can hardly be examined without experimentation that requires appropriate simulation instruments. In this paper, we extend the AGADE Traffic simulator with ridesharing options and implement functionality for simulating and evaluating auctions in shared mobility scenarios. We demonstrate application of the simulator with different auction designs on a ridesharing use case with commuter traffic.