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

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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Bibliographic Details
Main Authors: Shahriar Afandizadeh Zargari, Amirmasoud Memarnejad, Hamid Mirzahossein
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
hourly OD demand matrix
machine learning
big data
neural network
Online Access:https://www.mdpi.com/1424-8220/21/21/7080

Internet

https://www.mdpi.com/1424-8220/21/21/7080

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