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Vlad Tverdohleb
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Vlad Tverdohleb   My Press Releases

The Future of Fuel Efficiency: Networked Cars, Talking to Other Cars

Published on 5/13/2018
For additional information  Click Here

If we really wanted to cut down on carbon emissions during our commute, instead of hopping into our cars every morning, we’d bite the bullet, and take the bus. But because we’re pretty attached to our own cars (and America’s public transit infrastructure, you know, sucks) researchers are working on ways to cut down on wasted energy beyond solutions like “take the bus.” One way to do that? Let cars talk to each other.

This idea comes out of recent research from the University of Michigan and California Institute of Technology. In particular, an autonomous vehicle that was controlling its speed based on the speeds of multiple surrounding cars was twenty percent more energy-efficient than it was without those networks.

The key is looking beyond current “smart” cruise-control features, which only respond to the car immediately in front of you. By connecting to a broader network of cars through what the researchers call “vehicle-to-everything communication,” the autonomous vehicle was able to slow down using 60 percent less braking force than a human driver.

Because they knew what traffic was coming several cars away — instead of just a single car in front of them — the networked cars needed less fuel to get back up to speed, and therefore, were more energy effecient. In other words, whether you’re stuck in traffic or coasting down a highway, this technology could give you a smoother, less nauseating, more eco-friendly ride.

This technology can start saving fuel even before (if?) self-driving cars gain widespread adoption. Even if people were driving all the cars surrounding the autonomous vehicle, the self-driving software was still able to smooth its speed transitions, braking more gently and using less fuel than it would have without the improved communication.

In a controlled experiment, human drivers in traffic had to face a common situation: someone several cars ahead hit the brakes, so they had to respond to the chain reaction and slow down as well. Some of the drivers hit the brakes hard, rapidly decelerating from 55 MPH to a near stop, subjecting the car to a force almost as strong as gravity. But the autonomous cars had a much smoother experience, with less than half the braking force. That’s because the self-driving cars were able to predict how the line of cars would behave once it detected that the car in front started to slow down.

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