Accidents Avoidance Using Smart Traffic Regulation System

  • Venkata Sai Gokul Gadamsetty
  • Kiran Kumar Vayalada
  • Arpit Jain
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)


Nowadays, the utilization of sensors is beneficiary in the development of luxury and safety for the automobiles. Smart sensing system has been very effective for the traffic regulation. The autonomous vehicle is automated and equipped with features like environment perception, image sensing, motion planning, proximity alert, and execution features (Ertlmeier and Spannaus in International workshop on intelligent solution in embedded systems, pp 1–9, 2008). Traffic squares and heavy traffic areas are the major accident-prone areas; here, we suggest that in addition to visual display of traffic signal using a transceiver system, the info about the signal status can be gathered by incoming/approaching vehicles and the driver can be alarmed with utilization of a reasonable input (voice caution) appropriately for well-being change. This can be accomplished with the help of an RF module and the unidirectional radio wire for transmitting/accepting the information. Likewise, the security measures at the activity hybrids can be expanded with a period request speed breaker innovation to limit the approach speed of the vehicles amid thin movement hours. And furthermore to reduce the damage brought about to the vehicle because of speed breakers, undesirable braking of the vehicles.


Smart speed breaker Micro controller Wireless transmission Voice alert Traffic light detection Intelligent driver assistance system 


  1. 1.
    Ambudkar B., “Sensored car”, IEEE 2nd international conference on computer and electrical engg, IEEE computer Society, pp. 335–338, 2009.Google Scholar
  2. 2.
    Bian M, Li K, Jin D, Lian X “A velocity control strategy for vehicular collision avoidance system” Proceedings of the IEEE international conference on mechatronics and automation, Niagars Falls, Canada, pp. 1827–1830, July, 2005.Google Scholar
  3. 3.
    B. Heisele, P. Ho, T. Poggio, “Face Recognition with Support Vector Machines: Global versus Component-based Approach”, Proc. of the 8th IEEE International Conference on Computer Vision, ICCV, Vol. 2, pp. 688–694,2001. International Journal of Distributed and Parallel Systems (IJDPS) Vol. 3, No. 5, September 2012, 157. Google Scholar
  4. 4.
    Brännström, M.; Sjöberg, J.; Coelingh, E. “A situation and threat assessment algorithm for rear-end collision avoidance system”, Intelligent Vehicles Symposium, IEEE, pp. 102–107,2008.Google Scholar
  5. 5.
    Dasgupta C, “Application of GPS and infrared for car navigation in foggy condition to avoid accident”, IEEE 2nd international conference on computer Engg and applications, IEEE computer Society, pp. 238–241, 2010.Google Scholar
  6. 6.
    Eidehall A, Pohl J, Gustafsson F and Ekmark J., “Towards autonomous collision avoidance by steering”, IEEE transaction on Intelligent transportation system, Vol. 8, No. 1, pp. 84–94, 2007.Google Scholar
  7. 7.
    Ertlmeier R., Spannaus P., “Expanding design process of the airbag control unit ACU-connection of active and passive safety by using vehicle dynamics for rollover and side crash detection”, International workshop on intelligent solution in embedded systems, pp. 1–9, 2008.Google Scholar
  8. 8.
    Ferrara A. and Vecchio C., “Cruise control with collision avoidance for cars via sliding models” Proceedings of the IEEE international conference on control applications, Munich, Germany, pp. 2808–2813, 2006.Google Scholar
  9. 9.
    Ferrara A., “Automatic pre-crash collision avoidance in cars”, Proceedings of IEEE intelligent vehicles symposium, University of Perma, Italy, pp. 133–138, June, 2004.Google Scholar
  10. 10.
    Hillenbrand Jorg, Kroschel K., “ A study on the performance of uncooperative collision migration systems at intersection like traffic situations” IEEE conference on cybernetics and intelligent systems, pp. 1–6, June 2006.Google Scholar
  11. 11.
    Jones W. D., “Black boxes get green light”, IEEE Spectrum, pp. 14–15, December, 2004.Google Scholar
  12. 12.
    Nagaraj N.S. “Elements of electronic navigation system”, TMH publication, 2008.Google Scholar
  13. 13.
    Nedevschi Sergiu, Vatavu A., Oniga F. and Meinecke M.M, “Forward collision detection using a stereo vision system”, Proceedings of IEEE 4th international conference on intelligent computer and processing, pp. 115–122, 2008.Google Scholar
  14. 14.
    Qingfeng Huang and Ronald Miller and Perry McNeille and David Dimeo and Gruia-Catalin Roman, “Intelligent Vehicle Technologies,” Ford Technical Journal, vol. 5, March 2002.Google Scholar
  15. 15.

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Venkata Sai Gokul Gadamsetty
    • 1
  • Kiran Kumar Vayalada
    • 1
  • Arpit Jain
    • 1
  1. 1.Electronics and Instrumentation Engineering DepartmentUniversity of Petroleum and Energy StudiesDehradunIndia

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