No matter how much we develop as a civilization, traffic continues to be a part of our lives. So what if we used artificial intelligence to solve this traffic problem? Here, scientists from the Massachusetts Institute of Technology have succeeded in producing a solution where the problem of getting stuck at red lights at junctions controlled by traffic lights is a thing of the past.
In new research published last week, scientists used machine learning to keep a group of autonomous vehicles fluidly on their way without being stuck at a traffic light. It has been stated that the newly developed solution has a positive effect not only on traffic, but also on fuel consumption and emissions. Moreover, not all vehicles need to be autonomous for this method to be beneficial.
The vehicle knows in advance whether it is lit red or green
The algorithm developed in the study was loaded on autonomous vehicles. These vehicles were receiving information about the signal status and timing of the traffic light in front of them. Based on this information, the algorithm enabled the vehicle to accelerate or decelerate, thus ensuring that the vehicles were constantly on the green light.
For the solution in question to work effectively, of course, fully autonomous vehicles of the human factor play a leading role. But according to scientists, even 25% of the vehicles currently on the road are autonomous, the solution in question could yield significant results.
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