A Heterogeneous Ensemble Approach for Travel Time Prediction Using Hybridized Feature Spaces and Support Vector Regression.

Chughtai, Jawad-Ur-Rehman; Haq, Irfan Ul; Islam, Saif Ul; Gani, Abdullah

Chughtai, Jawad-Ur-Rehman; Haq, Irfan Ul; Islam, Saif Ul; Gani, Abdullah.

Afiliação

Chughtai JU; Department of Computer and Information Sciences (DCIS), Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad 44000, Pakistan.
Haq IU; Digital Disruption Lab, DCIS, PIEAS, Islamabad 44000, Pakistan.
Islam SU; Department of Computer and Information Sciences (DCIS), Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad 44000, Pakistan.
Gani A; Digital Disruption Lab, DCIS, PIEAS, Islamabad 44000, Pakistan.

Sensors (Basel) ; 22(24)2022 Dec 12.

Article em En | MEDLINE | ID: mdl-36560104

Assuntos

Aprendizado de Máquina; Fatores de Tempo

Palavras-chave

heterogeneous ensemble learning; hybridized feature space; intelligent transportation systems; travel time prediction

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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