Implementation of machine learning techniques to control the speed of the vehicles

  • Authors

    • M. S. Satyanarayana
    • Aruna T.M
    • Divyaraj G.N
    2018-09-22
    https://doi.org/10.14419/ijet.v7i4.5.21179
  • Machine Learning, Traffic Awareness, Driving Awareness, Accidents, Alarm.

  • Accidents have become major issue in Developing countries like India now a day. As per the Surveys 60% of the accidents are happening due to over speed. Though the government has taken so many initiatives like Traffic Awareness & Driving Awareness Week etc.., but still the percentage of accidents are not getting reduced. In this paper a new technique has been introduced to reduce the percentage of accidents. The new technique is implemented using the concept of Machine Learning [1]. The Machine Learning based systems can be implemented in all vehicles to avoid the accidents at low cost [1]. The main objective of this system is to calculate the speed of the vehicle at three various locations based on the place where the vehicle speed must be controlled and if the speed is greater than the designated speed in that road then the vehicle automatically detects the problem and same will be intimated to the driver to control the speed of the vehicle. If the speed is less or equal to the designated speed in that road then the vehicle will be passed without any disturbance. The system will be giving beep sound along with color indication to driver in each and every scenario. The other option implemented in this system is if the driver is driving the vehicle in the night and if he feel drowsy the system detects it immediately and alarm sound will be initiated to wake up the driver. This system though it won’t avoid 100% accidents at least it will reduce the percentage of accidents. This system is not only to avoid accidents it will also intelligently control the speed of the vehicles and creates awareness amongst the drivers.

     

     

  • References

    1. [1] M S Satyanarayana, Murali Mohan B M, Raghavendra S N “Intelli- gent Traffic System to Reduce Waiting Time at Traffic Signals for Vehicle Ownersâ€, Springer AISC Series, Chapter 31, Volume 668.

      [2] Satyanarayana M.S “Reducing the Waiting Time at Toll Gates Using National E-Tolling System “International Research Journal of Advanced Engineering and Science ISSN: 2455-9024.v 1, issue 2, pg. no 100-102. [3].

      [3] Rajeshwari sundar, santhoshs hebbar, and varaprasad golla,†imple- menting intelligent traffic control system for congestion control, ambu- lance clearance, and stolen vehicle detection†ieee sensors journal, vol. 15, no. 2, february 2015.

      [4] P. Lakshmi Pallavi, Dr. Mohammed Ali Hussain,†Intelligent Traffic Control System using Embedded Web Technology†IRACST - Interna- tional Journal of Computer Science and Information Technology and Se- curity (IJCSITS), ISSN: 2249-9555 Vol. 4, No.2, April 2014.

      [5] Khalil m. Yousef, Jamal n. Al-karaki1 and ali m. Shatnawi†intelligent traffic light flow control system using wireless sensors networks†journal of information science and engineering 26, 753-768 (2010).

      [6] Intelligent Traffic Control System†http://en.wikipedia.org/wiki/Intel- ligent Traffic Control System.

      [7] https://plus.google.com/+ITCS/videos.

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  • How to Cite

    S. Satyanarayana, M., T.M, A., & G.N, D. (2018). Implementation of machine learning techniques to control the speed of the vehicles. International Journal of Engineering & Technology, 7(4.5), 654-656. https://doi.org/10.14419/ijet.v7i4.5.21179