A Convolution Component-Based Method with Attention Mechanism for Travel-Time Prediction

Deep learning approaches have been recently applied to traffic prediction because of their ability to extract features of traffic data. While convolutional neural networks may improve the predictive accuracy by transiting traffic data to images and extracting features in the images, the convolutiona...

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Detalles Bibliográficos
Autores principales: Ran, Xiangdong, Shan, Zhiguang, Fang, Yufei, Lin, Chuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540036/
https://www.ncbi.nlm.nih.gov/pubmed/31058812
http://dx.doi.org/10.3390/s19092063

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540036/
https://www.ncbi.nlm.nih.gov/pubmed/31058812
http://dx.doi.org/10.3390/s19092063

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