Human drivers just don’t do a good job of navigating dense traffic conditions, but an experiment using artificial intelligence in Nashville last week means help could be on the way. In the experiment, specially equipped cars were able to ease rush hour congestion on Interstate-24, researcher Daniel Work said. In addition to lessening driver frustration, Work said less stop-and-go driving means fuel savings and, by extension, less pollution.
The professor of civil and environmental engineering at Vanderbilt University is one of a group of engineers and mathematicians from universities around the U.S. who have been studying the problem of phantom traffic jams after a simple experiment in Japan a dozen years ago showed how they develop. Researchers there put about 20 human drivers on a circular track and asked them to drive at a constant speed. Before long, traffic went from a smooth flow to a series of stops and starts.
“Phantom traffic jams are created by drivers like you and me,” Work explained.
One person taps the brakes for whatever reason. The person behind them takes a second to respond and has to brake even harder. The next person has to brake even harder. The wave of braking continues until many cars are at a standstill. Then, as traffic clears, the drivers accelerate too quickly, causing more braking and yet another jam.
“We know that one car braking suddenly can have a huge impact,” Work said.
This story is from the November 25, 2022 edition of AppleMagazine.
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This story is from the November 25, 2022 edition of AppleMagazine.
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