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Traffic Control System for Smart City Using Image Processing

Publication Type : Journal Article

Publisher : Springer

Source : AI and IoT for Smart City Applications

Url :

Campus : Amritapuri

School : School of Engineering

Year : 2022

Abstract : Due to the quickly changing population with the economic development of the country, traffic congestion has come out as a serious threat to society. Since the present traffic system is only predetermined time-based traffic control, it’s high time to come out with a self-adaptive system for better traffic administration. This chapter represents a smart traffic control technique for smart cities that can be implemented by using image processing. A web camera is positioned on a traffic signal to seize the photo sequences. An empty road image is about a reference photograph and the real-time traffic images are matched with the usage of image matching. For this purpose, edge detection is used and a percentage matching happens between a reference image and a real-time traffic image, the traffic light time allocation can be done with percentage image matching. The results obtained in the above processes will help in reducing delay time at the traffic lane.

Cite this Research Publication : Vedansh Bhardwaj, Yaswanth Rasamsetti & Vipina Valsan., Traffic Control System for Smart City Using Image Processing, , AI and IoT for Smart City applications, Springer Singapore

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