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New Model to Improve Vehicle-to-Vehicle Communication for 'Intelligent Transportation'

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A representation of vehicle-to-vehicle communications.

A new model may improve the clarity of vehicle-to-vehicle communications enough to help make intelligent transportation a reality.

Credit: U.S. Department of Transportation

North Carolina State University (NCSU) researchers say they have developed a model to improve the clarity of vehicle-to-vehicle (V2V) transmissions needed to make intelligent transportation a reality.

"The model helps us understand how the V2V signals are distorted, and understanding how the signal may be distorted allows you to design a signal that is less likely to become distorted in the first place," says NCSU professor Dan Stancil. He notes that this type of direct communication has very little time delay, and could warn drivers to apply the breaks in response to an event only hundreds of yards away.

V2V communication relies on transmitting data via radio frequencies in a specific band. However, variables such as the constantly moving transmitter and receiver can distort the signal, causing errors in the data.

The researchers realized that most roads are lined with objects that run parallel to the road itself, meaning that the objects that can distort the radio waves are not uniformly distributed in all directions. By accounting for this parallel distribution of objects, the researchers created a model that more accurately describes how radio signals will be affected by their surroundings.

From NCSU News
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Abstracts Copyright © 2013 Information Inc., Bethesda, Maryland, USA


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