Advertisement

Advance Anti-collision Device for Vehicles Using GPS and Zigbee

  • Satyajeet PatnayakEmail author
  • Anisha Swain
  • Manaswini Das
Conference paper

Abstract

Reckless driving has been a common problem in Indian roads since the very introduction of transport. There is a dearth of innovation in technical know-how in the automobile sector as comfort is given the utmost priority. Every day accidents reign the roads as a consequence of automobile collision. The state-of-the-art figures reveal that only a few of the high-end vehicles have access to the robust collision detection and avoidance systems which is far from reach of the common people due to pecuniary issues. The technology used currently in high-end vehicles cannot control its impending peers from any direction and successively does not accomplish avoidance entirely and efficiently. This paper proposes a safety system which functions as a secondary controller of the vehicles and automates the speed of every vehicle nearby up to a certain range with the help of Xbee and Arduino UNO whenever an imminent collision is perceived. The controllers of vehicles will be aware of their peers’ location and speed through GPS. Consequently, the brakes of a vehicle are decelerated if there is any chance of collision with any unforeseen vehicle. The system is upgraded by means of machine learning; i.e., the vehicle can comprehend the behavior of the driver’s reaction and accordingly implement the brakes only in inevitable circumstances.

Keywords

Advanced collision avoidance system Uno GPS Machine learning Antilock braking system (ABS) Vehicle safety Xbee 

References

  1. 1.
    A. Vahidi and A. Eskandarian, (Sept. 2003) “Research advances in intelligent collision avoidance and adaptive cruise control,” in IEEE Transactions on Intelligent Transportation Systems, vol. 4, no. 3, pp. 143–153.CrossRefGoogle Scholar
  2. 2.
    Vignesh, R. (May 2017) “Collision Avoidance System In Vehicles” International Journal of Advanced Research Methodology in Engineering & Technology, ISSN 2456 6446 Volume 1, Issue 3.Google Scholar
  3. 3.
    Araki, H., Yamada, K., Hiroshima, Y., & Ito, T. (1996, September). Development of rear-end collision avoidance system. In Intelligent Vehicles Symposium, 1996, Proceedings of the 1996 IEEE (pp. 224–229).Google Scholar
  4. 4.
    Miller, R., & Huang, Q. (2002). An adaptive peer-to-peer collision warning system. In Vehicular technology conference, 2002. VTC Spring 2002. IEEE 55th (Vol. 1, pp. 317–321). IEEE.Google Scholar
  5. 5.
    Tatchikou, R., Biswas, S., & Dion, F. (2005, December). Cooperative vehicle collision avoidance using inter-vehicle packet forwarding. In Global Telecommunications Conference, 2005. GLOBECOM’05. IEEE (Vol. 5, 5 pp).Google Scholar
  6. 6.
    Anurag, D., Ghosh, S., & Bandyopadhyay, S. (2008, October). GPS based vehicular collision warning system using IEEE 802.15. 4 MAC/PHY standard. 8th International Conference on ITS Telecommunications, 2008: 154–159.Google Scholar
  7. 7.
    Lou F., What’s the Difference Between IEEE 802.15.4 and Zigbee Wireless? Electronic Design: 2013.Google Scholar
  8. 8.
    Uvaraja, S. (2012). Advanced Pre-Warning System (Railways). International Journal of Engineering and Technology, 4(2): 213.CrossRefGoogle Scholar
  9. 9.
    Tan, H. S., & Huang, J. (2006). DGPS-based vehicle-to-vehicle cooperative collision warning: Engineering feasibility viewpoints. IEEE Transactions on Intelligent Transportation Systems, 7(4): 415–428.CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Satyajeet Patnayak
    • 1
    Email author
  • Anisha Swain
    • 2
  • Manaswini Das
    • 3
  1. 1.Department of Mechanical EngineeringCollege of Engineering and TechnologyBhubaneswarIndia
  2. 2.Department of Instrumentation and ElectronicsCollege of Engineering and TechnologyBhubaneswarIndia
  3. 3.Department of Computer Science and EngineeringCollege of Engineering and TechnologyBhubaneswarIndia

Personalised recommendations