[ 30 Apr 2019 | vol. 7 | no. 1 | pp. 1-10 ]

About Authors:

N. Thirupathi Rao1 and Debnath Bhattacharyya1*
-1Department of Computer Science and Engineering, Vignan’s Institute of Information Technology (A) Visakhapatnam-530049, AP, India


The movement of certain number of vehicles in a route can be treated as the traffic. This traffic is heavy in some routes or less in some other routes. Whether the traffic is less or high can be judged based on the number of vehicles being moving in a particular road for a period of time. As number of vehicles is moving in a common road, the more traffic problems may arise and such situations are considered as congestion on roads. As congestion occurs or roads, the time takes to travel on such roads will take more time and as a result the travellers may reach to their destinations very late or they may take more time than the expected time. In order to reduce such congestions problems or congestion situations on roads several authors or researchers had proposed several methods. Some researchers had proposed for avoiding the congestion by fixing warning lights and some others used through the diversion of the traffic. As the number of vehicles is being increasing on roads in number, the traffic problems are also increasing day to day. In the current article, an attempt has been made to identify the traffic on each lanes on a highway by using the camera pictures captured n the poles besides the roads and analyzing such pictures and trying to identify the density of the traffic on such roads. After analyzing the traffic density on such roads, the traffic signals will be managed and cleared the traffic on roads and some cases, it is used to avoid the congestion situations. The current application was implemented on two situations and results are analyzed and presented in the results section.


Traffic, Signals, congestion, vehicles, roads, lanes, smart controllers


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