المجلة الدولية للعلوم والتقنية

Traffic light system is a tool that regulates wheeled vehicles to run regularly. Current ordinary traffic light system is not sufficient to control the traffic challenging congestions due to the fact they operate on a fixed-time length plan. However, the traffic congestion has grown to be a large trouble for most human beings due to the fact it increases noise, air pollution, and wasting time. Hence, ordinary traffic light system has no longer ability to deal with massive congestion, and solutions must be found on how to organize which lane must run or stop to eliminate intersection among vehicles. Therefore, the intelligent traffic light system based on machine learning techniques designed and automatically discover the quantity of vehicles in every lane and set the green sign time optimally to avoid massive waiting time and additionally clear congestion at quicker rate. Finally, the proposed system used Visual studio and Python for simulation and an algorithm of Branch and Bound used to determine which one the lamp should turn on and turn off, because it has a characteristic to find out a solution among some set of solutions, and greedy algorithm applied to determine waiting time for each line. Keywords: traffic light system, waiting time, Branch and Bound, Greedy, traffic congestion, BFS, green time