Artificial Intelligence Used to Create Traffic Control Systems
August 27, 2012 6:05 PM
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The study found that humans are better at controlling traffic than current computers
A new study says that humans are much better at
in urban areas than current computer systems, leading to the development of new ones based on artificial intelligence.
Researchers from the University of Southampton conducted a study that found humans to be better traffic controllers than existing computer systems. They made this discovery through testing for BBC's "One Show," where the host used a laptop to control a traffic light junction at the InnovITS. Thirty drivers then attempted to reach an agreement on the accuracy of the traffic light. It showed that human controllers beat computers when it came to road congestion.
As a traffic solution, the researchers have started developing traffic control computers that are capable of learning from experience the way humans do through artificial intelligence.
"The demonstration carried out at InnovITS Advance indicates that the human brain, carefully employed, can be an extremely effective traffic control computer," said Dr. Simon Box of the University of Southampton Transportation Research Group. "In our research we aim to be able to emulate this approach in a new kind of software that can provide significant benefits in improving the efficiency of traffic flow, hence improving road space utilization, reducing journey times and potentially improving fuel efficiency."
Automakers have even started creating systems that can
prevent traffic jams
, like Honda, which partnered with the University of Tokyo to make new driving assistants. These systems track the behavior of the vehicle and determines if its pace could cause a traffic jam. However, the University of Southampton's AI system could take this to another level.
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RE: Can my neighborhood be a beta tester?
8/28/2012 12:48:58 AM
I prefer to take a slight detour through my local wormhole. And it goes right by the liquor store too, and still gets me home in a jiffy.
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