An experiment this week near Nashville demonstrated that connected cars and AI can help reduce traffic snarls on highways.
, an acronym that stands for Congestion Impacts Reduction via CAV-in-the-loop Lagrangian Energy Smoothing. With a name like that, it’s no wonder the researchers decided to use an acronym!
Prior work on closed-course testing demonstrated that phantom jams can be reduced using autonomous vehicle technologies and specially designed algorithms. The CIRCLES project seeks to extend this technology to real world traffic, where reducing these negative traffic effects could provide ≥10% energy savings.
We have all seen it happen. The car in front taps the brakes because a squirrel is crossing the road or the driver wants to gawk at an accident on the other side of the highway. Soon, everybody behind has jammed on their brakes and traffic slows or comes to a halt. It can take minutes or even hours for the slow down to clear.
the decision-making by the connected cars occurred on two levels. At the cloud level, information about traffic conditions was used to create an overall speed plan. That plan was then broadcast to the cars, which used artificial intelligence algorithms to determine the best action to take. The researchers were able to evaluate the effect the connected cars had on morning traffic flow using a special 4-mile stretch of I-24 outfitted with 300 pole-mounted sensors.
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