There is a wide variety of navigation systems available on the market. Most of these systems offer the possibility to choose between different transport vehicles and routing options. However, these systems hardly offer the possibility for accessible routing, which is optimized especially for users of wheelchairs. Although, a lot of state-of-the-art navigation systems already offer multimodal routing capabilities, most of them use a static approach to calculate the route. In this case the route is determined before the route guidance starts and therefore depends on the precision of the a priori used schedule information. Thus these systems can not react properly to delays in public transits. This results in less precise guarantees for the estimated arrival time. In this work an approach is introduced, which extends the eNav system to fully support multi-modal routing. Therefore, the approach reacts dynamically and adaptively to delays by using real-time data. Furthermore, it tries to automatically optimize the current route by using public transportations. The approach is designed as a modular system to offer the possibility to transfer it to other navigation systems. We show that the use of dynamic routing improves arrival times, especially in urban areas. Our evaluation shows that in most cases the presented approach outperforms static calculation of the route. On top of that, our approach brings a lot of social and user experience benefits, with which a static approach cannot compete these days.