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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Autores principales: Shahriar Afandizadeh Zargari, Amirmasoud Memarnejad, Hamid Mirzahossein
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/d42147b576eb40188592a7fa824870e8
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