Nowadays the current situation of roads and road traffic as well as road speed breakers demands a smart vehicle which would be useful for safe driving so, the concept of smart car originated. The automatic transmission is a key technology to improve performance of vehicles. With the synthesized applications of mechatronic technology, computer technology, auto control technology on vehicles, development of modern vehicle technology is stepping into a completely new age with the characteristics of intelligence, in which one of the most primary symbols is automatization of vehicle transmission system. To realize this, automatic gear-shifting is one of the key concepts in cars. In this paper authors try to study auto gear system for intra vehicular communication system.
Published In : IJCAT Journal Volume 2, Issue 12
Date of Publication : December 2015
Pages : 463 - 468
Figures :08
Tables : --
Publication Link :Study on Auto-Gear System in Smart Car by ANN
Sumit Pakhare : M.Sc. Physics, Assistant Professor at P.J.L.C.E., Nagpur, Working in the field of education and research from last 9 years.
Kanchan Hande : M.C.A., Assistant Professor at S.R.P.C.O.E., Nagpur Working in the field of education and research from last 7 years.
Bharat Dhak : M.Tech., Assistant Professor at P.J.L.C.E., Nagpur, Working in the field of education and research from last 7 years.
Roshan Mohankar : M.Tech., Assistant Professor at P.J.L.C.E., Nagpur, Working in the field of education and research from last 5 years.
Planetary gear system
Artificial Neural Network
Automatic Transmission
Intelligent Gear Shifting control system
As per our study of the various fields in automation, Artificial Neural Network is the most proficient method of controlling the gear system of a car.
[1] F. J. Riley, Constant Speed Regulator, United States Patent US 2714880, March 24, 1950 .
[2] Z. Zhu and C. Xu, “Experimental Study on Intelligent Gear-Shifting Control System of Construction Vehicle Based on Chaotic Neural Network”, Nature and Science, 1(1), 2003.
[3] K. Albelihi, “The gazelle adaptive racing car pilot,” Master’s Thesis, Indiana University South Bend, 2014.
[4] D. Locaiono and L. Cardamone, “Simulated racing car championship competition software manual,” The center for automotive research at Stanford, April 2013, http://me.stanford.edu/groups/design/automotive.
[5] E. Onieva, D. A. Pelta, J. Alonso, V. MilanĂl’s, and J. PĂl’rez, “A modular parametric architecture for the TORCS racing engine,” in Proceedings of the IEEE Symposium on Computational Intelligence and Games, 2009, pp. 256–262.
[6] C. Guse and D. Vrajitoru, “The epic adaptive car pilot,” in Proceedings of the Midwest Artificial Intelligence and Cognitive Science Conference, South Bend, IN, April 17-18 2010, pp. 30–35.
[7] S. Jiao, A. Xu, L. Meng, Automatic transmission control system of modern construction machinery, Road Machinery & Construction Mechanization, 1997, 14(3), pp. 17-20.
[8] P. Doležel and I. Taufer, Possibility of smart Car speed control using Soft Computing, July 2012.
[9] K. J. Astrom and T. Hagglund, PID controllers: theory, design and tuning. Durham: International Society for Measurement and Control, 1995, pp. 351.
[10] J. Holland, Adaptation in Natural and Artificial Systems (second edition), Ann Arbor: MIT Press, 1992, pp. 228.
[11] D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Boston: Addison-Wesley Longman Publishing Co., 1989, pp. 372
[12] R. M. Storn and K. Price, Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces, Journal of Global Optimization, Vol. 11,1997, pp. 341 -359.
[13] K. Price, R. M. Storn and J. A. Lampinen, Differential Evolution: A Practical Approach to Global Optimization, Berlin: Springer, 2005, pp. 292.
[14] J. Yi, Modern vehicle automatic transmission. Sichuan Technology Publishing Company, Chengdu, China, 1998, pp. 35-50.
[15] Z. Yuan, Artificial nerve networks and its applying, Tsinghua University Publishing Company, Beijing, China, 1999, pp. 66-8.
[16] www.carblogindia.com
