The technological knowledge and experiences are the key elements in designing the transportation vehicles, thereby enhancing it’s safe operations. This research paper introduces a model which can be used for developing a safe and reliable transportation system with smart vehicle design. Requirements in terms of both software implementations and vehicle design have been proposed in this research paper. Knowledge Base technique is the foundation of technical design reuse. Implementation of this technique can be relied on the software. Two distinct algorithms are used in this paper to improve upon the safety, reliability and quality of a system. The difference between the results of the algorithms would help us in concluding the best technique.

Knowledge Engineering, Reliable Software, Ontology, Sensor System, Computer-aided-technology

[1] J. Vijaya Sagar Reddy & G. Ramesh “Failure Detection Algorithm for Testing Dynamic Web Applications Department of CSE”, International Journal of Computer & Communication Technology, Volume-5,Issue-4,pp 42-46, 2016.
[2] Gilb, Tom, "Distinct Software" ACM SIGSOFT, Software Engineering Notes, Vol. 6, No. 2, p. 17 1981
[3] Fischler, M. A., 0. Firschein, D. L. Drew “Distinct Software: An Approach to Reliable Computing” in proceeding Second USA-JAPAN Comnference, pp 573-579, 1975
[4] R. Solanki, “Principle of Data Mining”, McGraw-Hill Publication, India, pp. 386-398, 1998.
[5] Wang, Guoxin & Yan, Yan & Hu, Lichen & Zhang, Xiang & Wang, Lu. (2009). Construction of knowledge based engineering platform for armored vehicle. IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management. 10.1109/IEEM.2009.5372938. IEEM 2009
[6] Y. J. Chen, Y. M. Chen, H. C. Chu and H. Y. Kao, “On technology for functional requirement-based reference design retrieval in engineering knowledge management,” Decision Support Systems, vol. 44, no. 4, pp. 798-816, 2007.
[7] Y. J. Chen, Y. M. Chen and H. C. Chu, “Enabling collaborative product design through distributed engineering knowledge management,” Computer in Industry, vol. 59, no.4, pp. 395-409, 2008.
[8] C. K. Mok, K. S. Chin and H. Lan, “An Intirnate-based intelligent design system for injection moulds” Robotics and Computer-Integrated Manufacturing, vol. 24, no. 24, pp. 1-15, 2008.
[9] L. F. Lai, “A knowledge engineering approach to knowledge management,” Information Sciences, vol. 177. no.177, pp. 4072-4094, 2007.
[10] S. C. Brandt, J. Morbach, M. Miatidis, M. Theiben, M. Jarke and W. Marquardt, “An ontology-based approach to knowledge management in design processes,” Computers and Chemical Engineering, vol. 32, no. 32, pp. 320-342, 2008
[11] R. I. M. Young, A. G. Gunendran, A. F. Cutting-Decelle and M. Gruninger, “Manufacturing Knowledge Sharing In Plm: A Progression Towards The Use Of Heavy Weight Ontologies” International Journal of Production Research, vol. 45, no. 7, pp. 1505-1519, 2007
[12] F. Gailly, W. Laurier, G. Poels, “Positioning and formalizing the REA enterprise ontology” Journal of information systems, vol. 22, no. 2, pp. 219-248, 2008.
[13] D. Baxter, J. Gao and K. Case. “A framework to integrate design knowledge reuse and Requirements management in engineering design” Robotics and Computer-Integrated Manufacturing, vol. 24, no. 4, pp. 585-593, 2008
[14] K. C. Ku, A. Wensley, H. P. Kao, “Ontology-based knowledge management for joint venture Projects” Expert Systems with Applications, vol. 35, no. 1-2, pp. 187-197, 2008.
[15] K. Mohan, R. Jain, B. Ramesh, “Knowledge networking to support medical new product development” Decision Support Systems, vol. 43, no. 4, pp. 1255-1273, 2007