Following one of our previous blog entries about 'reactive design' in cities, a new approach to learning about, and monitoring traffic movement within cities has been developed in Zurich, Switzerland. Software designers have created a program which aims to map the spatial and temporal patterns that characterise the various road users.
ETH researchers Daniel Küttel and Michael Breitenstein teamed up with professors Luc Van Gool and Vittorio Ferrari from the Institute of Image Processing to create a new software program that can learn from watching moving objects, analyzing things like street scenes and figuring out patterns and habits of things like moving vehicles. The new technology allows the computer to recognize things like the movements of normal traffic flow and any changes in that "normal" situation.
Not only would this type of project create solutions to traffic and movement issues, it would allow us to implement interventions to make the city a more efficient and safer place. We can assess pedestrian and vehicular routes and create focal points such as median strips and roundabouts or 'islands' to give identity and place-making qualities to an otherwise grey, urban environment.
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