Future weathercasters might add a traffic temperature to their forecasts. Georgia Tech civil engineer John Leonard is developing a traffic model of Atlanta that incorporates historical data and other variables, ranging from day of the week to special events and weather conditions, to estimate traffic conditions for the coming day. To make it simpler to interpret the model’s output, Leonard distills the results into a single congestion index, or “temperature.” Leonard’s model incorporates data from a network of video cameras and other detectors that monitor the city’s freeways; a byproduct is a real-time contour map of travel times from selected points. Over time, Leonard says, the model will adjust itself to reflect the way that people alter their driving patterns in response to the computer predictions. Full implementation of the model, which could be used elsewhere, remains several years away.
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
Meet the people who use Notion to plan their whole lives
The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.
Learning to code isn’t enough
Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.
Deep learning pioneer Geoffrey Hinton has quit Google
Hinton will be speaking at EmTech Digital on Wednesday.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.