The Smart Application of Artificial Intelligence(AI), Fuzzy Logic & Neural Networks in the Working of Traffic Signal Lights

  V.S.P.Vamsi,  V.V.Srikanth,  V.D.N.Sravanthi

Artificial Intelligence (AI) is a rapidly advancing technology, made possible by the Internet, that may soon have significant impacts on our everyday lives. AI traditionally refers to an artificial creation of human-like intelligence that can learn, reason, plan, perceive, or process natural language. These traits allow AI to bring immense socioeconomic opportunities, while also posing ethical and socio-economic challenges.As AI is an Internet enabled technology, the Internet Society recognizes that understanding the opportunities and challenges associated with AI is critical to developing an Internet that people can trust. Fuzzy Logic (FL) is a method of reasoning that resembles human reasoning. The approach of FL imitates the way of decision making in humans that involves all intermediate possibilities between digital values YES and NO. The conventional logic block that a computer can understand takes precise input and produces a definite output as TRUE or FALSE, which is equivalent to human’s YES or NO. In recent years, the number and variety of applications of fuzzy logic have increased significantly. The applications range from consumer products such as cameras, camcorders, washing machines, and microwave ovens to industrial process control, medical instrumentation, decision-support systems, and portfolio selection. Artificial Neural Networks (ANNs) are processing devices (algorithms or actual hardware) that are loosely modeled after the neuronal structure of the mamalian cerebral cortex but on much smaller scales. A large ANN might have hundreds or thousands of processor units, whereas a mamalian brain has billions of neurons with a corresponding increase in magnitude of their overall interaction and emergent behavior. Although ANN researchers are generally not concerned with whether their networks accurately resemble biological systems, some have. For example, researchers have accurately simulated the function of the retina and modeled the eye rather well. Although the mathematics involved with neural networking is not a trivial matter, a user can rather easily gain at least an operational understanding of their structure and function. Traffic signs are divided into three basic categories: regulatory, warning, and guide signs. Traffic lights (or traffic signals) are lights used to control the movement of traffic. They are placed on roads at intersections and crossings.

Keywords- Artificial Intelligence(AI), Fuzzy Logic, Neural Networks, Traffic Signal Lights

Unique Identification Number - IJEDR2101009
Page Number(s) - 49-81
Pubished in - Volume 9 | Issue 1 | January 2021
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  V.S.P.Vamsi,  V.V.Srikanth,  V.D.N.Sravanthi,   "The Smart Application of Artificial Intelligence(AI), Fuzzy Logic & Neural Networks in the Working of Traffic Signal Lights", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.9, Issue 1, pp.49-81, January 2021, Available at :http://www.ijedr.org/papers/IJEDR2101009.pdf