Design and development of traffic light retiming using camera based traffic density estimation
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 3
Abstract
As an instantaneous and range concept, “traffic density” was originally defined by looking at a snapshot of the traffic from an aerial camera along a stretch of freeway. The “density” is defined as the number of vehicles divided by the length of the stretch. Average density over lanes is naturally deduced by further dividing by the number of lanes. This concept can be described as continuous in space but discrete in time. However, a practical traffic network system, particularly a freeway network, does not have an aerial camera for continuous monitoring of traffic in real time. Although dense point sensor systems could approximate continuous measurements in space, the cost is generally prohibitive. The proposed system does not actually measure the number of vehicles currently on the road, but measures the area covered by vehicles on the road. Moreover, for implementing this project image processing must be considered At first, film of highway is captured by a camera has been installed in highway. A web camera is placed in a traffic lane that will capture images of the road on which we want to control traffic. Then these images are efficiently processed to know the traffic density. According to the processed data from MATLAB, the controller will send the command to the timer to show particular time on the signal to manage traffic.
Authors and Affiliations
Tanmayi Jain, Prof. Nilesh Bodne
Keywords
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