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Importance of Fuzzy Logic in Traffic and Transportation Engineering

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Intelligent Computing & Optimization (ICO 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 371))

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Abstract

In this paper, the way traffic problems can be minimized with the help of fuzzy logic, which is a part of artificial intelligence, is discussed. It also highlighted the issues with the conventional traffic system practiced in an Indian state. It talked about the various benefits of using advanced traffic systems including fuzzy logic along with its numerous advantages as well as disadvantages. It also highlighted the present scenario of accidents and fatalities in an Indian state following the old conventional system of traffic.

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Correspondence to Aditya Singh .

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Singh, A. (2022). Importance of Fuzzy Logic in Traffic and Transportation Engineering. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing & Optimization. ICO 2021. Lecture Notes in Networks and Systems, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-030-93247-3_10

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