An intelligent traffic congestion detection approach based on fuzzy inference system
2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)(2021)
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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