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

Travel time prediction is essential to intelligent transportation systems directly affecting smart cities and autonomous vehicles. Accurately predicting traffic based on heterogeneous factors is highly beneficial but remains a challenging problem. The literature shows significant performance improve...

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Detalles Bibliográficos
Autores principales: Chughtai, Jawad-ur-Rehman, Haq, Irfan ul, Islam, Saif ul, Gani, Abdullah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781256/
https://www.ncbi.nlm.nih.gov/pubmed/36560104
http://dx.doi.org/10.3390/s22249735

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781256/
https://www.ncbi.nlm.nih.gov/pubmed/36560104
http://dx.doi.org/10.3390/s22249735

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