Real Time Intelligent Traffic Signal System Using Deep Reinforcement Learning Technique

Authors

  • Sarvesh Srriram B  UG Student, Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, India
  • Sivaprasath K  UG Student, Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, India
  • Rajesh S.  Associate Professor, Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, India

Keywords:

Abstract

Traffic is the world’s daily common problem happening all around the world. To normalize the traffic, traffic signals were made. Though it prevents heavy traffic, it is not sufficient. Mainly in India, traffic is one of the major causes for many pollution such as air and noise pollution and even causes accidents. This problem cannot solved with perfection in real time, but optimized with maximum efficiency with automation. With the help of Deep Reinforcement learning, this problem is optimized with maximum efficiency by assigning traffic signals in such a way that the waiting time for each vehicle is minimized on all side of the road. Keywords:

References

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International Journal of Scientific Research in Science and Technology

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Published

2021-04-10

Issue

Volume 9, Issue 1, March-April-2021

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Sarvesh Srriram B, Sivaprasath K, Rajesh S., " Real Time Intelligent Traffic Signal System Using Deep Reinforcement Learning Technique, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 1, pp.406-413, March-April-2021.