TRAFFIC CONGESTION CONTROL AND REROUTING

Computer Engineering

As the number of vehicles grows rapidly each year, more and more traffic congestion occurs, becoming a big issue for all metropolitan cities. Traffic congestion cause driver frustration and costs billions of dollars annually in lost time and fuel consumption. In this system, we are reducing traffic congestion which unifies the strategies of both dynamic vehicle rerouting and traffic light control. Specifically, calculate a density of vehicle on road using sensor network of proximity sensors to check the density of vehicles of available routes. According to density, set the traffic signals count down dynamically and also route the traffic on available routes. Also send all real-time traffic data on cloud and information are shown on website. The novel traffic management framework for reducing traffic congestion unifies the strategies of both dynamic vehicle rerouting and traffic light control. One of the main issues for traffic management is congestion. Proper traffic management can prevent congestion or reduce the consequences of congestion by for example rerouting of the other traffic. Congestion occurs when the traffic demand exceeds the road capacity. When congestion will be happened it switched from one route to another if a significant number of drivers use the guidance. This situation could be avoided by new solutions on dynamic user-optimal traffic assignment.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.