Prediction is Better than Detection: Traffic Congestion Control using Drones
This study tested how mobile drone teams detect and predict traffic jams to adapt traffic signals. The key finding is that adapting signals based on predictions, rather than just detected jams, roughly doubles the reduction in jam duration. Performance plateaus when the number of drones equals the number of monitored junctions, suggesting prediction accuracy is a bigger bottleneck than fleet size.