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An Advanced Density Based Traffic Signal System
Abstract
The growing vehicle population in all the countries contributes to traffic. So there is a need to control the traffic by implementing some more additional measures. The existing traffic control system is a time based one. It is not that much efficient and not favorable to people. In such situations, an efficient density based control on traffic is needed. Density based control techniques under researches are cost effective. In our proposing method, the captured image from the road is processed and converted into different form of images in order to calculate the number of vehicles present in the image. After calculating the number of vehicles we can able to know in which side of the road the density is high. Based on the calculated value, respective road is enabled to move. And also some more additional features like special treatment to emergency vehicles, information about the road block to nearest traffic police are added with it.
References
David Beymer, Philip McLauchlan, Benn Coifman, and Jitendra Malik, “A real-time computer vision system for measuring traffic parameters,”IEEE Conf. on Computer Vision and Pattern Recognition, pp495 -501, 1997.
M. Fathy and M. Y. Siyal, "An image detection technique based on morphological edge detection and background differencing for real- time traffic analysis," Pattern Recognition Letters, vol. 16, pp. 1321-1330, Dec 1995.
N. J. Ferrier, S. M. Rowe, A. Blake, “Real-time traffic monitoring,” Proceedings of the Second IEEE Workshop on Applications of Computer Vision, pp.81 -88, 1994.
Rita Cucchiara, Massimo Piccardi and Paola Mello, “Image analysis and rule-based reasoning for a traffic monitoring system,” IEEE Trans. on Intelligent Transportation Systems, Vol. 1, Issue 2, pp 119-130, 2000.
Vivek, Tyagi, Senior Member IEEE, Shivakumar Kalyanaraman, Fellow, IEEE, and Raghuram Krishnapuram, Fellow, IEEE “Vehicular Traffic Density State Estimation Based On Cumulative Road Acoustics” in IEEE Transaction on Intelligent Transportation System.Vol.23. No.3 September 2012
MD.Hazrat ALI, Syuhei KUROKAWA, et al, “Autonomous Road Surveillance System proposed Model For Vehicle Detection and Traffic Signal Control “in Procedia Computer Science 19(2013)
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