Uploaded on 2015-04-17 by PaulaKleo

[1]: https://edxuploads.s3.amazonaws.com/14292751209686188.jpg **Visible information:** What we see here is a pedestrian crossing leading over Straße des 17. Juni, one of the biggest streets in Berlin, with several lanes for cars and bikes. This crossing connects the main building (behind us) of the Technical University Berlin and other university buildings. At the moment the picture was taken, there were not many cars and even fewer people and bikes, but what we see in the background is that a lot of cars are parking there. Also visible in this picture is that the bike lane in front of us as well as another small lane for cars ist not reglemented by the traffic light, not even with a zebra crossing. **Invisible information:** What we can't see in the picture is the time it was taken, it was around 9.35 am on a friday, during lecture time. However, this information is very useful concerning the number of people crossing this street. As soon as lectures are over, dozens or even hundreds of students are crossing this street. What we also can't see is how many cars and bikes are crossing and where they are coming from/ where they are going. We also don't know how long the traffic light is green/ red and if the intervals are steady or connected to the volume of traffic. **Creating knowledge:** The above mentioned small car lane and the bike lane are probably problematic, when dozens of students are trying to cross the street and it's not clear who has to wait - the pedestrians or bikes. Therefore collecting all the available information mentioned above can be used to create a solution which makes it easier (and safer) for pedestrians to cross this street and also clear for bikes, if they have to wait. Moreover, analyzing who is crossing the street and how long the green intervals are, you could check if it's possible for e.g. elderly people to cross the street easily of if they simply can't make it before the green light switches of. Finally, if not already the case, the traffic light intervals could be connected to the traffic volume to prevent traffic jams and needless waiting for pedestrians.