We initially planned on using OpenCV to detect the traffic but later on realised that HAAR Cascades isn't the proper way to do it since there's a lot of overlapping objects in traffic. So we ultimately had to implement a DL model using YOLOv3 to detect the pedestrians and vehicles. This was used to calculate the traffic density which was used by the backend to calculate a top speed parameter that was sent to the vehicles in the vicinity.