23-09-2016, 03:31 PM
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ABSTRACT
Congestion in traffic is a serious problem.[1] For controlling traffic uses Traffic density and timer for each phase. We are proposing a method to use live video feed from cameras at traffic junctions for real time density calculation using video processing and help in future road planning and analysis
I. Introduction
Traffic seems to pervade everywhere and it's ever increasing nature makes it imperative to know the road traffic density in real time for better signal control and effective traffic management. There can be different causes of congestion in traffic like insufficient capacity, unrestrained demand, large Red Light delays etc.[5] Therefore the need for simulating and optimizing traffic control to better accommodate this increasing demand arises. In recent years, image and video monitoring and surveillance systems have been widely used in traffic management[4].
Robust and reliable traffic surveillance system is an urgent need to improve traffic control and management. Vehicle flow detection appears to be an important part in surveillance system.[6]The traffic flow shows the traffic state in fixed time interval and helps to manage and control especially when there’s a traffic jam. In this project, we propose a traffic surveillance system for vehicle counting. The proposed algorithm is composed of five steps: preprocessing, blob detection, blob analysis, blob tracking and vehicle counting[7]. A vehicle is modeled as a rectangular patch and classified via blob analysis. By analyzing the blob of vehicles, the meaningful features are extracted.
It also focuses on the algorithm (Signal switching algorithms) for switching the traffic lights according to vehicle density on road, and along with this circular regulation of traffic is also proposed for efficient flow, there by aiming at reducing the traffic congestion on roads which will help lower the number of accidents, better traffic flow control. In turn it will provide safe transit to people and reduce fuel consumption and waiting time. It will also provide significant data which will help in future road planning and analysis. In further stages multiple traffic lights can be synchronized with each other with an aim of even less traffic congestion and free flow of traffic.
The Traffic rules violation by a vehicles will be reported to concerned authority(R.T.O).We will be maintaining a centralized database is in which the number of vehicles, road location, no. of accidents , crimes involved and road parameters will be stored.
Existing System
• GPS based system have limitations like accuracy problem , battery problem[8].
• RFID unnecessary increases extra hardware to be install both at every junction and in every vehicle.[6]
• SensorRequire dig up the road therefore this method becomes costlier to install.[1]Gives limited amount of information than other methods of traffic monitoring system.
• Magnetic loop detectors can detect vehicle and its count. It is autonomous, require low maintenance and reliable. It require dig up the road costlier to install limited amount of information.
Rule violation detection using virtual line
In any road crossing when red light is shown to a lane, the signal conveys the message to the vehicles rushing towards the crossing to stop immediately. To make the procedure more systematic and more convenient a uniform thick white line is drawn in each lane before the crossing. This line is commonly known as stop-line. Each vehicle coming towards the crossing must stop before this line if red signal is seen by it.
Even if the front wheel of the vehicle touches the stop-line partially then also it is decided as a red light violating vehicle. Stop-line is usually placed perpendicular to the direction of flow of traffic and is placed in the plane of the road