Researchers at Berkeley have developed a novel traffic signal control algorithm, called HumanLight, that uses reinforcement learning to prioritize high-occupancy vehicles (HOVs) and reduce travel time. This technology could potentially incentivize people to choose transit options over single-occupancy cars, leading to a more sustainable and democratic traffic management solution.
