Smart Traffic Management System

Millions of vehicles pass via roads and cities every day. Various economic, social and cultural factors affect growth of traffic congestion. The effect of traffic congestion has major impacts on accidents, loss of time, cost, delay of emergency, etc. Due to traffic congestions there is a loss in productivity from workers, people lose time, trade opportunities are lost, delivery gets delayed leading to increasing cost. In providing solutions to these congestion problems, a new robust and smart solution that is based on Vehicle-to-Infrastructure (V2I) technology capable of addressing road accident and traffic management in Nigeria’s mega cities is proposed. In this paper, the proposed system serves as an alternative to the existing traffic management system with an intersection control station that communicates with vehicles approaching the intersection through the V2I network. The vehicles are equipped with Dashboard Traffic Light (DBTL) sensors that communicate with the infrastructure. A Safe-to-Pass-First (SPF) algorithm was designed that considered real time speed, vehicle position and data to decide when to allow the vehicle to pass through the intersection. The algorithm checks the status of conflicting lanes to ensure that vehicle pass the intersection safely. This method has been found to be more efficient than the existing methods as the average waiting time at the intersection is reduced by 23% and improved throughput recorded, Python code and SUMO were used for the simulation.