On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice

Prediction of work Travel mode choice is one of the most important parts of travel demand forecasting. Planners can achieve sustainability goals by accurately forecasting how people will get to and from work. In the prediction of travel mode selection, machine learning methods are commonly employed....

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Vydané v:	IEEE access Ročník 11; s. 19762 - 19774
Hlavní autori:	Aghaabbasi, Mahdi, Ali, Mujahid, Jasinski, Michal, Leonowicz, Zbigniew, Novak, Tomas
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Bayes methods Bayesian analysis Bayesian optimization algorithm Decision trees Forecasting hyperparameters Machine learning Mathematical models Modal choice Optimization Optimization algorithms Predictive models Support vector machines sustainable mode choice decision Transportation Travel demand Travel modes Trip surveys work travel mode choice
ISSN:	2169-3536, 2169-3536
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