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Intelligent Motion Control for Safe Driving of Automobiles

Published on July 2015 by Jayashri Vajpai, V.s. Bansal
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National Conference on Intelligent Systems (NCIS 2014)
Foundation of Computer Science USA
NCIS2014 - Number 1
July 2015
Authors: Jayashri Vajpai, V.s. Bansal
2b4bce38-ee7b-4726-a212-30e948149532

Jayashri Vajpai, V.s. Bansal . Intelligent Motion Control for Safe Driving of Automobiles. National Conference on Intelligent Systems (NCIS 2014). NCIS2014, 1 (July 2015), 1-3.

@article{
author = { Jayashri Vajpai, V.s. Bansal },
title = { Intelligent Motion Control for Safe Driving of Automobiles },
journal = { National Conference on Intelligent Systems (NCIS 2014) },
issue_date = { July 2015 },
volume = { NCIS2014 },
number = { 1 },
month = { July },
year = { 2015 },
issn = 0975-8887,
pages = { 1-3 },
numpages = 3,
url = { /proceedings/ncis2014/number1/21874-3265/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Intelligent Systems (NCIS 2014)
%A Jayashri Vajpai
%A V.s. Bansal
%T Intelligent Motion Control for Safe Driving of Automobiles
%J National Conference on Intelligent Systems (NCIS 2014)
%@ 0975-8887
%V NCIS2014
%N 1
%P 1-3
%D 2015
%I International Journal of Computer Applications
Abstract

Presently there has been an exponential rise in the number of fast moving automobiles on the roads. There are therefore, justifying reasons for developing cost-effective, reliable intelligent control systems for the assistance of drivers to ensure safety of the drivers of the automobiles as well as the pedestrians and other vehicles moving on the roads. This paper presents a fuzzy logic based control system, which adequately takes into consideration various uncertainties associated with the road traffic. This control system is extremely easy to implement on microcomputers because it is linguistic and carries out all such operations which are normally done by human beings using robust common sense.

References
  1. Li Li Wang and Fei Yue, "Advanced Motion Control and Sensing for Intelligent Vehicles, Springer-Verlag, 2007.
  2. L. Vlancic, M. Parent and F. Hareshima, "Intelligent Vehicle Technologies", Butterworth-Heinemann, 2009.
  3. A. K . Chattopadhyay, "Intelligent Motion Control and Power Electronics" TECHNORAMA, Special issue on Intelligent Motion Control, IEI News Supplement, 2010.
  4. Hong Cheng, "Autonomous Intelligent Vehicles: Theory, Algorithms and Implementation", Springer, ISBN 978-1-4471-2279-1, Dec. 2011.
  5. J. Wang, S. Schroedl, K. Mezger, R. Ortloff, A. Joos, and T. Passegger, "Lane keeping based on location technology," IEEE Transactions on Intelligent Transportation Systems, vol. 6, no. 3, pp. 351–356, 2005.
  6. Zadeh, L. A. , "From computing with numbers to with words- From manipulation of measurements to manipulation of perceptions", Proc. of IEEE International workshop on Soft Computing in Industry, Japan, pp. 221-222, 1999.
  7. Szczepaniak, C. ; Szosland, A. S. , "Fuzzy logic control of motor vehicle" IEEE Intelligent Vehicle Symposium, 17-21 June, 2002, vol. 2, pp. 364-369.
  8. Sobottka, C. ; Singh, T. , "Optimal fuzzy logic control for an anti-lock braking system", Proceedings of . of the 1996 IEEE International Conference on Control Applications, Sept. 15-18, pp. 49-54.
Index Terms

Computer Science
Information Sciences

Keywords

Motion Control Automobiles Microcomputers