Social-media based navigation, Berlin

Project investigated an added value of use and user context in terms of the route optimization, road safety and the desire to travel. Twitter data from Berlin were used to detected traffic related events such as accidents, delays and jams. When put in the map, they served as the input for updating the current route.


How does it work?

  • User can enable the information from social media,
  • User displays current events on the backround map,
  • App updates the suitable route.


Investigated event-based movement scenarios:

  • Scenario 1: Event reported in social media as directly connected with traffic, e.g. jam.
  • Scenario 2: Event reported in social media as indirectly connected with traffic, e.g. demonstration.
  • Scenario 3: Private event, not reported in social media, context-dependent, e.g., travel in the night.


Funded by Federal Ministry of Transport and Digital Infrastructure, Germany