Planning a mobility-oriented agenda is a time-consuming and tedious task for many travelers. A person is required to collect information from different sources such as a map service, a business register, a calendar and a journey planner. However, she is mostly not interested in either planning the agenda or the journeys between different locations of the agenda; but is more interested in completing the tasks of the agenda. Therefore, we propose an intelligent agenda planning agent that aims to

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... upport people with this task. We integrate public transit schedules with additional spatial information from OpenStreetMap to create an information database for the agent. The agent can then plan tasks and appointments and the mobility between those items. First brief evaluations with a survey have shown, that the algorithm finds shorter agendas than most manually found agendas. However, participants of the survey criticized the temporal placement of tasks in the agenda.