Using AI to Investigate How Passengers Navigate Train Stations

When computers are confused, humans are too. Every year, more than 500 million passengers use train stations in Paris. In AI Station, a collaboration between our Lab, SNCF Gares & Connexions, and the Austrian Institute of Technology, we use artificial intelligence to investigate how passengers navigate such places. In particular, computer vision and convolutional neural networks (CNN) help us understand how people perceive space and when they might have difficulties in orienting themselves. First results are published in the journal Building and Environment.

–MIT Senseable Lab

About GilPress

I'm Managing Partner at gPress, a marketing, publishing, research and education consultancy. Also a Senior Contributor forbes.com/sites/gilpress/. Previously, I held senior marketing and research management positions at NORC, DEC and EMC. Most recently, I was Senior Director, Thought Leadership Marketing at EMC, where I launched the Big Data conversation with the “How Much Information?” study (2000 with UC Berkeley) and the Digital Universe study (2007 with IDC). Twitter: @GilPress
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