{"id":"src_qzj4wftdvxvd","title":"Hybrid Swarm Intelligence for Urban Traffic Signal Optimization","authorName":"Anjana M., Mar Athanasius College of Engineering","abstract":"This study proposes a hybrid swarm intelligence and reinforcement learning approach for adaptive urban traffic signal control. The method aims to reduce congestion, improve traffic flow, and optimize signal timing by combining the global search capability of swarm intelligence with the learning ability of reinforcement learning.","tags":["traffic optimization","swarm intelligence","reinforcement learning","smart cities","ai"],"priceUSDC":"0.0053"}