Surveillance Rapid Detection of Signs of Traffic Services in Real Time

Authors

  • Dr.Mohammad Alodat IST Department, Sur University College
  • Dr. Iyas Abdullah IST Department, Jarash University.

Keywords:

Fuzzy Logic, Fuzzy Graphs, Intuitionistic Fuzzy Sets, Intuitionistic Fuzzy Neural Network, Genetic Algorithm,

Abstract

This study aims to compare the efficiency of Intuitionistic Fuzzy Neural Network with Genetic Algorithm (IFNN-GA) in detecting real-time traffic signs in different road conditions compared with the human eyes in order to prove that they are more efficient in understanding the surrounding environment, support safe driving, and overcome human defects. Highlighting the driver's obstacles such as weather conditions, uneven lighting, shadows everywhere, intensity and brightness fluctuations and contrast in shape and texture of traffic signs and time spent for entry and exit. In order to realize all aspects of the road, a model was proposed: Intuitionistic Fuzzy Neural Network with Genetic Algorithm (IFNN-GA).

References

Jarašūniene, A. Research into intelligent transport systems (ITS) technologies and efficiency. Transport, 22(2), 61-67. (2007).

Liu, P., Chen, S. H., & Yang, M. D.Study of signalized intersection crashes using artificial intelligence methods. MICAI 2008: Advances in Artificial Intelligence, 987-997. (2008).

Xie, D. W., & Baldwin, J. F.Fuzzy prototype model and semantic distance. Information Systems, 32(7), 944-967.(2007).

Azimirad, E., Pariz, N., & Sistani, M. B. N. A novel fuzzy model and control of single intersection at urban traffic network. IEEE Systems Journal, 4(1), 107-111. (2010).

Jha, M., & Shukla, S. Design Of Fuzzy Logic Traffic Controller For Isolated Intersections With Emergency Vehicle Priority System Using MATLAB Simulation. arXiv preprint arXiv:1405.0936. (2014).

Szmidt, E., & Kacprzyk, J. Intuitionistic fuzzy sets in some medical applications. In Fuzzy days (Vol. 2206, pp. 148-151). (2001, October).

Xie, D. W., & Baldwin, J. F.Fuzzy prototype model and semantic distance. Information Systems, 32(7), 944-967.(2007).

Kolev, B., Chountas, P., Petrounias, I., & Kodogiannis, V. An application of intuitionistic fuzzy relational databases in football match result predictions. Computational Intelligence, Theory and Applications, 281-289. (2005).

Lee, K. H. First course on fuzzy theory and applications (Vol. 27). Springer Science & Business Media. (2006).

Sturgess, P., Alahari, K., Ladicky, L., & Torr, P. H. Combining appearance and structure from motion features for road scene understanding. In BMVC 2012-23rd British Machine Vision Conference. BMVA. (2009, September).

Wei, C. P., Wang, P., & Zhang, Y. Z. Entropy, similarity measure of interval-valued intuitionistic fuzzy sets and their applications. Information Sciences, 181(19), 4273-4286. (2011).

Gaddam, L., Rane, S. H., Baspure, J. K., Gagare, P. B., & Baviskar, A. License plate recognition. Int. J. of Comput. Sci. and Mobile Computing, 3, 492-495. (2014).

He, G., Chen, L., Zeng, C., Zheng, Q., & Zhou, G. Probabilistic skyline queries on uncertain time series. Neurocomputing, 191, 224-237. (2016).

Zhi, J., Liu, J., Xu, W., & Zhi, L. Fusion Algorithm Based on the Intuitionistic Fuzzy Set and Multiple Neural Network. Advances in Neural Networks–ISNN 2009, 182-191. (2009).

Yihong, F., Weimin, L., Xiaoguang, Z., & Xin, X. Threat assessment based on adaptive intuitionistic fuzzy neural network. In Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on (Vol. 1, pp. 262-265). IEEE. (2011, October).

Fone, W. Using a familiar package to demonstrate a difficult concept: using an excel spreadsheet model to explain the concepts of neural networks to undergraduates. In ACM SIGCSE Bulletin (Vol. 33, No. 3, pp. 165-168). ACM. (2001, June).

Lee, K. H. First course on fuzzy theory and applications (Vol. 27). Springer Science & Business Media. (2006).

Jha, M., & Shukla, S. Design Of Fuzzy Logic Traffic Controller For Isolated Intersections With Emergency Vehicle Priority System Using MATLAB Simulation. arXiv preprint arXiv:1405.0936. (2014).

Patel, S. G. (2013). Vehicle license plate recognition using morphology and neural network. International Journal on Cybernetics & Informatics, 2(1), 1-7.

Szmidt, E., & Kacprzyk, J. Intuitionistic fuzzy sets in some medical applications. In Fuzzy days (Vol. 2206, pp. 148-151). (2001, October).

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Published

2018-07-03

How to Cite

Alodat, D., & Abdullah, D. I. (2018). Surveillance Rapid Detection of Signs of Traffic Services in Real Time. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-4), 193–196. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4405