Efficient Utilization of Traffic Lights in Common Congested Areas in Urban Settings Through Crowdsourcing

Abstract

The special problem tackles an important problem in our society, traffic congestion. Traffic congestion, specifically, intersection congestion has been a major issue in urban areas, causing significant impacts on travel time, fuel consumption, and air pollution. Intersection congestion refers to the accumulation of vehicles at intersections, leading to slow and inefficient traffic flow. The special problem produced an adaptive traffic light scheduling system based on the current vehicular volume using mobile crowdsourcing. This spreads out the number of vehicular volumes to each bound of an intersection.