Journey planners are quite popular, for cars as well as for public transport. The challenge for the next generation of these planners is not only to calculate routes, but to mix different modes of transport and to give co-modal answers. A journey planner based on real-time and historical data offers an up-to-date and realistic comparison, concerning times, frequency, costs and environmental impact of different modes of transport and their combination, e.g. by "park and ride". Today, journey planning is focused on specific dates and times. However, more general answers, especially for metropolitan areas, can be found when using special "plan commute" functions, or when isochrones are computed and visualized. The paper describes the necessary technology for realizing these co-modal systems, based on the examples of projects in Stockholm and Denmark.