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).

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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

Issue

Vol. 10 No. 2-4: Enhancing Digital Trust for Sustainable Development

Section

Articles

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