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Fuzzy Logic for Traffic Congestion Analysis by Deepak Mitra is a document available to read on EtoBox.
What is Fuzzy Logic for Traffic Congestion Analysis about?
This document provides an introduction and background for a proposed PhD research project on developing a traffic congestion model using fuzzy logic. The research will focus on creating an automatic decision-making system to estimate road traffic congestion levels based on measurable parameters like vehicle density and speed. Both manually tuned fuzzy inference systems and adaptive neuro-fuzzy inference systems will be examined to determine congestion levels. The goal is to develop a system that can flexibl
- Author
- Deepak Mitra
- Language
- EN