An intelligent traffic congestion detection approach based on fuzzy inference system

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)(2021)

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Abstract
Traffic congestion causes significant economic and social consequences. Instant detection of vehicular traffic breakdown has a pivotal role in intelligent transportation engineering. Common traffic estimators and predictors systems need traffic observations to be classified in their binary-set-nature computation methods which are unable to be an effective base for traffic modeling, since they are ...
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Key words
Fuzzy logic,Analytical models,Computational modeling,Biological system modeling,Input variables,Transportation,Predictive models
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