Self-driving vehicles could alleviate congestion by the instalment of a new traffic light, which would allow AVs to control the flow of traffic.
A new fourth traffic light has been proposed by transportation engineers at North Carolina State University as a way for self-driving vehicles to alleviate traffic flow issues.
The light, which the researchers have suggested should be white, will signal human drivers to follow the car in front of them. In simulated tests, it has led to improvements in travel time in intersections, and overall less fuel consumption.
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“This concept we’re proposing for traffic intersections, which we call a ‘white phase,’ taps into the computing power of autonomous vehicles themselves,” said Ali Hajbabaie, associate professor of civil, construction and environmental engineering at NC State. “The white phase concept also incorporates a new traffic signal, so that human drivers know what they are supposed to do. Red lights will still mean stop. Green lights will still mean go. And white lights will tell human drivers to simply follow the car in front of them.”
Self-driving vehicles can, in theory, talk to each other and indicate what is happening ahead of them. This can make the vehicle aware of issues on the road before its own cameras see them, thus reducing the likelihood of an accident.
Using this close-range communication system, the self-driving vehicles use a sort of distributed computing channel to fix intersection build-up and other traffic jams. In a previous iteration of this research, the engineers proposed a centralized system that worked through the traffic lights, but communication failures led them to this new distributed system.
“Granting some of the traffic flow control to the AVs is a relatively new idea, called the mobile control paradigm,” said Hajbabaie. “It can be used to coordinate traffic in any scenario involving AVs. But we think it is important to incorporate the white light concept at intersections because it tells human drivers what’s going on, so that they know what they are supposed to do as they approach the intersection.”
Whether this ever makes it to the streets is difficult to say at this time, when self-driving vehicles are still very limited and some manufacturers seem unwilling or uninterested in pooling computation resources to allow cars to communicate on the road. The willingness and awareness of human drivers is another factor to consider, as self-driving cars are far quicker at making a decision than humans.
This UrIoTNews article is syndicated fromRTInsight