Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys

Travel time prediction is critical for advanced traveler information systems (ATISs), which provides valuable information for enhancing the efficiency and effectiveness of the urban transportation systems. However, in the area of bus trips, existing studies have focused on directly using the structu...

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Detalles Bibliográficos
Autores principales: Wu, Jianqing, Wu, Qiang, Shen, Jun, Cai, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349099/
https://www.ncbi.nlm.nih.gov/pubmed/32545698
http://dx.doi.org/10.3390/s20123354

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349099/
https://www.ncbi.nlm.nih.gov/pubmed/32545698
http://dx.doi.org/10.3390/s20123354

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