Throughout the world societies are changing, so is mobility behavior. People are increasingly using multiple modes of transport; not only different modes for different trips but also combined use of different modes within one trip can be observed. Furthermore decisions for certain modes on specific trip stages depend on situational context (e.g. current traffic) and individual preferences. This trend can be supported by collaboration of mobility and service providers. Therefore information systems need to provide real-time data about traffic, provider status (of several mobility providers) and possible transfer points to enact context sensitive route adjustment. Alongside with customer preferences traffic flow can be optimized on individual and public level. In this article we strive to highlight challenges associated to this scenario. In addition we will present an architecture for intermodal information systems that offers services for individual planning, real-time route adjustment and provider cooperation.