An Automated Traffic Surveillance Control system by using STC algorithm

International Journal of Computer Trends and Technology (IJCTT)          
© 2017 by IJCTT Journal
Volume-54 Number-2
Year of Publication : 2017
Authors : K. Yogeswara Rao, Gorti Satyanaraya Murty, S.Adinarayana
DOI :  10.14445/22312803/IJCTT-V54P112


K. Yogeswara Rao, Gorti Satyanaraya Murty, S.Adinarayana "An Automated Traffic Surveillance Control system by using STC algorithm". International Journal of Computer Trends and Technology (IJCTT) V54(2):74-83, December 2017. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Nowadays people are spending approximately 4.8 billion hours on every 12 months in traffic congestion. The traffic control mechanism was handled by humans dynamically. we have many automated systems which are not giving fruitful results. so, there is a need to improve an advanced automate systems. In this system we can combination different technical aspects of computer vision, prescient, massive records and system gaining knowledge for designing a dependable and scalable machine with the intention to help to resolve these traffic problems. In modern-day lifestyles we observe high volume of vehicles, inadequate infrastructure; irrational distributions are principal reasons for increasing traffic jam. One of the main reasons for traffic congestion is excessive use of wide variety of cars because of huge population and development of financial system. To resolve this problems , the authorities have to encourage people to use public transport or automobiles with small length along with bicycles. This paper presents an insight of ways technologies can be used and give a rational solution for traffic congestion.

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Automated Traffic Surveillance, Control system, Machine Learning Techniques, Reinforcement Learning Method, Traffic, Image-processing, GPS tracking.