The Massachusetts Institute of Technology (MIT) researchers have found a way for drivers to avoid idling at red lights through Artificial Intelligence (AI). In a new study, MIT researchers demonstrate a machine-learning approach that can help control a fleet of autonomous vehicles as they approach a signalized intersection to help traffic go smoothly. The researchers performed simulations that not only will the approach help with traffic, but can also reduce fuel consumption and emissions will improve the average vehicle speed. This approach will deliver the best results if all cars on the road are autonomous. However, even if only 25 percent use this, it may still deliver significant results.

The scientists approached it with a model-free technique, which is also known as deep reinforcement learning.