Intelligent Motion Control for Safe Driving of Automobiles

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.

[1]  Hong Cheng.  Autonomous Intelligent Vehicles - Theory, Algorithms, and Implementation , 2011, Advances in Computer Vision and Pattern Recognition.

[2]  Fumio Harashima,et al.  Intelligent Vehicle Technologies , 2002 .

[3]  Jin Wang,et al.  Lane keeping based on location technology , 2005, IEEE Transactions on Intelligent Transportation Systems.

[4]  Tarunraj Singh,et al.  Optimal fuzzy logic control for an anti-lock braking system , 1996, Proceeding of the 1996 IEEE International Conference on Control Applications IEEE International Conference on Control Applications held together with IEEE International Symposium on Intelligent Contro.

[5]  Fei-Yue Wang,et al.  Advanced motion control and sensing for intelligent vehicles , 2007 .

[6]  C. Szczepaniak,et al.  Fuzzy logic control of motor vehicle , 2002, Intelligent Vehicle Symposium, 2002. IEEE.