Visualization and queuing analysis of spatio-temporal traffic data

Traffic jams have become a major issue in Dhaka city which results in delay of numerous trips resulting in late arrivals, monetary loss, and tiredness. Traffic data was analyzed to model a visualization of the flow of traffic in the road. The model performs a fast analysis of large volumes of data efficiently. The funneling of the road at the horizon was solved to spread out the traffic showing top view of the road. The model reveals a track of the movement of the different types of traffic. The vehicle congregation hotspots can be analyzed to identify some features on the road like bus stops. Lane changing frequencies of the different types of vehicles have been compared. The M/M/c queuing model revealed that increasing the number of lanes, exponentially decreases queue length, waiting time in queue, length of system, and the waiting time in the system.