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A Bayesian Method for Dynamic Origin–Destination Demand Estimation Synthesizing Multiple Sources of Data

In this paper a Bayesian method is proposed to estimate dynamic origin–destination (O–D) demand. The proposed method can synthesize multiple sources of data collected by various sensors, including link counts, turning movements at intersections, flows, and travel times on partial paths. Time-depende...

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Detalles Bibliográficos
Autores principales: Yu, Hang, Zhu, Senlai, Yang, Jie, Guo, Yuntao, Tang, Tianpei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348829/
https://www.ncbi.nlm.nih.gov/pubmed/34372206
http://dx.doi.org/10.3390/s21154971