Model signals boost for intelligent transportation
Researchers claim to have developed a model to improve the clarity of the vehicle-to-vehicle (V2V) transmissions needed to make intelligent transportation a reality.

Intelligent transportation is a concept in which vehicles communicate directly with each other in real time, giving drivers warnings about traffic delays, allowing a single driver to control multiple vehicles or routing vehicles around hazardous road conditions.
‘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,’ said Dr Dan Stancil, head of North Carolina State University’s Department of Electrical and Computer Engineering and co-author of a paper on the work.
‘While there are smartphone apps that can tell you about traffic jams, there is a time lag between when the traffic jam begins and when the driver is notified,’ Stancil said in a statement. ‘One advantage of this sort of direct communication between vehicles is that it has very little time delay, and could warn you to apply the brakes in response to an event only hundreds of yards away.’
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