Uploaded on 2014-12-10 by maciejsokolnicki

2. The invisible information extracted from the photo are: the flows of public transportation system, the occupancy of transportation system in this specific period of the day and year, main ways of flow of Poznan inhabitants, capacity of car parking, capacity of local road, activity in public space of local men and women, augmented reality could provide us with the image of previous old facade of the building. Another invisible information is the weather condition, temperature, air pollution, smell of air (a smell of nearby bakery), noise (mobile phone ringtone of passer-by). 3. The invisible information could provide us a data and analysis of car flows. We could calculate the capacity of local roads and parking spaces. In the situation of lack of parking places we could provide alternative strategies to the inhabitants of the city. We could encourage them to use the public transport, use a rental cars (mobility/zipcars), create an app with information about free parking spaces, propose building a city rental bicycle station as an alternative to four-wheel communication. We could improve the functionality of urban space. ![Wilda Market Square][1] [1]: https://edxuploads.s3.amazonaws.com/14181798336868285.jpg