Integrating data sources for route planners

In this research, the question is asked how the contemporary vast set of Geographic Information (GI) can be used to improve online route planners. As these have become part of our daily lives, more and more people use online route planners for a gamut of outdoor activities, such as recreational traveling, sightseeing, hiking, or cycling. However, a shortest path is not what travelers, hikers or cyclist nowadays typically need when planning a trip or route. Instead, the adequacy of route choice decisions for these particular activity modes lies primarily in subjective preferences and personal interests of the user. An intelligent aggregation and combination of novel data sources with contemporary reference vector datasets (National Mapping Agencies, TomTom, Navteq, OpenStreetMap, …) is a crucial step in his research. These novel sources are produced by non-professional end-users who gather information about their movements by community tools and mobile devices (e.g. web systems for route planning, outdoor navigation devices like Garmin or Mio, Smartphones ...).

Research units

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