Hail Technology: Deep Learning May Help Predict When People Need Rides (3-1-18)

Computers may better predict taxi and ride sharing service demand, paving the way toward smarter, safer and more sustainable cities, according to an international team of researchers.

In a study, the researchers used two types of neural networks — computational systems modeled on the human brain — that analyzed patterns of taxi demand. This deep learning approach, which lets computers learn on their own, was then able to predict the demand patterns significantly better than current technology.

“Ride sharing companies, like Uber in the United States, and Didi Chuxing in China, are becoming more and more popular and have really changed the way people approach transportation,” said Jessie Li, associate professor of information sciences and technology, Penn State. “And you can imagine how important it would be to predict the taxi demand because the taxi company could dispatch the cars even before the need arises.”

Read Full Story Here (via ScienceDaily)

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