Hourly Origin–Destination Matrix Estimation Using Intelligent Transportation Systems Data and Deep Learning

Predicting the travel demand plays an indispensable role in urban transportation planning. Data collection methods for estimating the origin–destination (OD) demand matrix are being extensively shifted from traditional survey techniques to the pre-collected data from intelligent transportation syste...

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Detalles Bibliográficos
Autores principales: Afandizadeh Zargari, Shahriar, Memarnejad, Amirmasoud, Mirzahossein, Hamid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588106/
https://www.ncbi.nlm.nih.gov/pubmed/34770387
http://dx.doi.org/10.3390/s21217080

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588106/
https://www.ncbi.nlm.nih.gov/pubmed/34770387
http://dx.doi.org/10.3390/s21217080

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