Traffic flow forecasting using natural selection based hybrid Bald Eagle Search—Grey Wolf optimization algorithm

In a fast-moving world, transportation consumes most of the time and resources. Traffic prediction has become a thrust application for machine learning algorithms to overcome the hurdles faced by congestion. Its accuracy determines the selection and existence of machine learning algorithms. The accu...

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Vydané v:	PloS one Ročník 17; číslo 9; s. e0275104
Hlavní autori:	R., Sivakumar, S. A., Angayarkanni, Y. V., Ramana Rao, Sadiq, Ali Safaa
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	San Francisco Public Library of Science 26.09.2022 Public Library of Science (PLoS)
Predmet:	Accuracy Algorithms Analysis Biology and Life Sciences Computer and Information Sciences Data mining Ecology and Environmental Sciences Engineering and Technology Errors Forecasting Forecasts and trends Genetic algorithms Haliaeetus leucocephalus Learning algorithms Literature reviews Machine learning Mathematical optimization Methods Natural selection Neural networks Optimization Optimization algorithms Optimization techniques Parameters Performance measurement Physical Sciences Population Population growth Research and Analysis Methods Searching Social Sciences Support vector machines Time series Traffic Traffic congestion Traffic flow Traffic information Transportation planning Tuning United Kingdom
ISSN:	1932-6203, 1932-6203
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