Intelligent Road Traffic Control Using Multi-Level Feedback Queue

All around the world, Vehicles are continuously increasing, the result of which is congestion, traffic jam, pollution and road accidents. This problem can be solved only by intelligent traffic control methods. The existing methods are not adequately efficient in terms of performance at the time of emergency e.g. when traffic is disrupted due to congestion in the adjacent traffic lane the existing traffic system proves ineffective, or it does not provide to serve emergency services to Ambulance, Fir brigade, VIP and other emergency cars. This paper describes an intelligent traffic scheduling process using multi-level feedback queue. The process senses the presence or absence of vehicles and checks the priorities. According to the priority, all data are loaded in multi-level feedback queue and traffic flow sequences are accordingly maintained. Here data change over time as situation of all traffic lanes are varied over time, so simple queuing process will not solve this problem. At the time of emergency the priority level of the traffic lane is increased then that traffic lane phase will move to the next higher priority level queue in multi-level feedback queue and control the traffic flow sequences depending on their position in multi-level feedback queue. The results from the rudimentary version of the program have been provided at present. The paper concludes by providing some future plans that can be effectively implemented. KeywordsMulti-Level Feedback Queue (MLFQ), Scheduling Algorithm, Round Robin Scheduling, FCFS Scheduling.